From India to the Global South_ Advancing Social Impact with AI

20 Feb 2026 13:00h - 14:00h

From India to the Global South_ Advancing Social Impact with AI

Session at a glanceSummary, keypoints, and speakers overview

Summary

The summit, titled “AI for Skilling, AI for Impact…”, brought together government, industry, academia and youth innovators to explore how artificial intelligence can be used to equip India’s large young population with future-ready skills and drive inclusive growth [5-8][11-13]. Organisers highlighted the URI initiative, which aims to train 100,000 youths on generative AI and has already reached about 15,000 participants in its first two months [12-13].


The first youth pitch demonstrated “AI for Cardio”, an offline desktop tool that lets primary-health-centre practitioners upload ECGs and blood reports for instant diagnosis using a fine-tuned Llama 3.11 model, already deployed in over 100 centres and serving more than 1,000 patients [23-25]. A second presenter, Ashish Pratap Singh of Prasima AI, described an autonomous AI agent built on Meta’s Scout and Maverick models that automates tender tracking, CRM queries and calendar management for MSMEs, saving over 15,000 minutes of work each month and achieving 99.9 % compliance [158-168]. A third innovator showcased “Ayurveda GPT”, a multilingual model that answers queries directly from Ayurvedic manuscripts and provides source citations, illustrating how domain-specific AI can be made publicly accessible [178-183].


In the fireside chat, Aman Jain referenced the Prime Minister’s view that AI will create, not eliminate, jobs and asked the Honourable Minister of State for Skill Development how India can scale AI skilling to meet this vision [33-40]. Minister Jayant Chaudhary responded that early adoption will expand the “pie” of opportunities, citing the retail shift to e-commerce and noting that AI will generate new roles such as contextual-mapping agents while also raising questions about productivity, humanity and the blurring of blue- and white-collar distinctions [41-55]. He further emphasized that AI can help special-needs students through early screening, teacher-sensitisation tools and personalised learning pathways, and that multilingual AI can break language barriers for learners in remote regions [71-78][85-94].


The discussion turned to education reform, with the minister outlining the need to move government hiring away from closed networks, to open ITI clusters under the PM Setu scheme, and to involve industry partners in designing curricula and providing trainers for emerging technologies [100-124][130-138]. He also highlighted the Skill India Digital Hub and the Skill India Assistant as platforms that can aggregate data and deliver AI-driven support to learners across the country [79-81]. Representatives from Meta and the United Nations stressed that India’s linguistic diversity and grassroots innovation ecosystems, such as the Atal Innovation Mission’s school-level hackathons, provide a model for other Global South nations to ensure AI benefits are widely shared [282-304][360-367].


Panelists agreed that public-private partnerships, open-access dashboards linking schools, incubators and policymakers, and the mobility of talent across government, academia and industry are essential to scale AI-enabled skilling at national scale [411-419][418-423]. The summit concluded that AI leadership depends not only on models or compute but on investing in youth, building inclusive skill ecosystems and fostering collaboration among all stakeholders to realise AI’s societal impact [437-442].


Keypoints

Major discussion points


AI-driven youth skilling at scale – The session highlighted Meta’s partnership with 1M1B to empower 100,000 young people on generative AI, noting that ≈15,000 youth have already been trained in the first two months [12-14]. Young innovators were showcased (three LLM-based projects) to illustrate how skilling translates into real-world solutions [16-18]; the “AI for Cardio” prototype demonstrated a concrete application of offline LLM inference for rural health centres [23-25].


AI’s impact on employment and the need for new skill sets – Participants debated whether AI will destroy jobs, with the Minister citing the Prime Minister’s view that technology creates opportunities [38-40]. The discussion stressed that early adopters gain a larger “pie” and that AI will generate entirely new roles (e.g., contextualisation, AI-coach trainers) while also demanding up-skilling of existing workforces [41-49][50-55].


Inclusion, accessibility and multilingual AI – Several speakers stressed AI’s potential for under-served groups: Meta’s Ray-Ban “Be My Eyes” glasses for the visually impaired [82-84]; teacher-sensitisation tools and the Skill India Assistant to support students with special needs [71-80]; and the development of multilingual, edge-computing models (Sarvam, AI-coach) to overcome language barriers across India [85-97].


Collaboration across government, industry and academia to build an ecosystem – The dialogue called for deeper public-private partnerships: the PM Setu fund for ITIs, industry-led curriculum design, and a repository of trainers [100-124]; the Atal Innovation Mission’s massive school-level hackathon and its “dashboard” vision for linking schools, incubators and policymakers [284-306][401-414]; and the need for open data sharing among government departments to enable cross-sector services [211-224].


Policy and systemic enablers for scaling AI skilling – Speakers highlighted the importance of multilingual content (translation of skill-books into 22 Indian languages) [229-256], the NEP 2020 framework linking education, skill, industry and innovation [424-433], and a proposed national “skill census” to map capabilities and guide interventions [424-433].


Overall purpose / goal


The session aimed to explore how AI skilling and youth-led innovation can drive inclusive growth in India and the Global South, showcase successful pilot projects, and chart a collaborative roadmap among government, industry, academia and civil society for scaling AI-enabled education, employment and societal impact [5-11][31-33].


Overall tone and its evolution


– The opening remarks were formal and celebratory, emphasizing the launch of a large-scale initiative and applauding young innovators [5-10][21-22].


– The conversation then shifted to a thoughtful, analytical tone, debating AI’s impact on jobs and the need for new skill sets [38-55].


– It moved toward an inclusive and solution-focused tone, highlighting accessibility, multilingual tools, and concrete policy measures [71-97][229-256].


– Later, the tone became collaborative and forward-looking, with calls for public-private partnerships, funding mechanisms, and ecosystem building [100-124][284-306][401-414].


– The session concluded on an optimistic and rallying tone, urging collective action to invest in youth and AI for broader societal benefit [437-442].


Speakers

Safin Matthew – Vice President, 1M1B (1 Million for 1 Billion Foundation); session host and moderator. [S9]


Nandakishor Mukkunnoth – Young innovator; developer of “AI for Cardio,” a desktop AI application for cardiac diagnostics in primary health centers.


Ashish Pratap Singh – CEO, Prasima AI; creator of an autonomous AI agent for MSME workflow automation and productivity improvement. [S2]


Ayurveda GPT Member – Representative of the Ayurveda GPT project; AI-driven language model that answers queries from Ayurvedic manuscripts and provides source citations.


Jayant Chaudhary – Honourable Minister of State (Independent Charge) for Skill Development & Entrepreneurship and Minister of State for Education; responsible for national skilling and education policy. [S11]


Aman Jain – Senior Director and Head of Public Policy, India, Meta; leads Meta’s public policy and AI-skilling initiatives in India. [S13]


Darren Farrant – Director, United Nations Information Centre India and Bhutan; works on UN communications and global AI policy outreach. [S6]


Pankaj Kumar Pandey – IAS, Principal Secretary, Government of Karnataka (Department of Education & Personal & Administrative Reforms); oversees state-level AI skilling and e-governance programs. [S18]


Bhutachandra Shekhar – CEO, Anuvadini; Chief Commercial Officer, AICT; leads AI-driven multilingual content translation and visual-arts learning models for skill development. [S20]


Deepak Bagla – Mission Director, Atal Innovation Mission (AIM); drives grassroots innovation labs, hackathons, and school-level AI entrepreneurship across India. [S15]


Manav Subodh – Founder and CEO, 1M1B; panel moderator and advocate for AI-skilling and youth empowerment. [S17]


Additional speakers:


Rishikesh Patankar – Vice President, National Skill Development Corporation (NSDC); involved in national skilling initiatives.


Full session reportComprehensive analysis and detailed insights

The session opened with Safin Matthew, Vice-President of the 1M1B Foundation, welcoming participants to a special programme titled “AI for Skilling, AI for Impact, Skilling, Inspiring and Empowering the Next Generation” organised by Meta in partnership with the 1 Million for 1 Billion Foundation [5-8]. He framed India as being at a “defining moment” in its artificial-intelligence (AI) journey, emphasising that the challenge is not merely to build technology but to develop skills, innovation capacity and future-ready talent at scale [6-8]. Matthew introduced himself as the host and explained that the day’s agenda would bring together leaders from government, industry, academia and the innovation ecosystem to discuss how AI-driven skilling and youth-led innovation can foster inclusive growth across India and the Global South [9-12]. He highlighted the UA AI Initiative for Skilling, a joint effort by Meta, India AI, AICT and 1M1B that aims to train 100 000 young people on generative AI and large language models (LLMs); within the first two months of launch, roughly 15 000 participants had already been up-skilled [12-13] and the programme would be scaled further in the coming months [14-15]. Three young innovators, selected through a hackathon and a startup hunt, were then invited to showcase how they are applying LLMs to address pressing societal needs [16-20].


The first pitch was delivered by Nandakishor Mukkunnoth, who described a critical bottleneck in India’s primary-health-centre (PHC) network: a farmer with chest pain must wait 30-40 minutes for a cardiology report because PHCs lack in-house specialists and must forward ECGs and blood tests to a central hub [23-25]. To remedy this, his team built “AI for Cardio”, a fully offline desktop application that allows practitioners to upload ECG images and blood-report data and receive an instant diagnosis powered by a fine-tuned LLaMA 3.11 model trained on 800 GPUs; the system has been published in the British Medical Journal and incorporates a cross-model attribution visualisation that highlights the image regions influencing the decision [23-25]. The solution has already been deployed in over 100 PHCs, benefiting more than 1 000 patients, thereby demonstrating how AI can be delivered without reliable internet connectivity [23-25].


Following the pitch, Safin introduced the Honourable Minister of State (Skill Development & Entrepreneurship, Education), Jayant Chaudhary, and Aman Jain, Senior Director & Head of Public Policy, India, Meta, to commence a fireside conversation [26-33]. Jain began by noting the strong attendance and recalling the Prime Minister’s statement that AI will create jobs rather than eliminate them, framing the discussion around the need for large-scale skilling [34-40]. He then asked the Minister to share thoughts on how India can scale AI-skilling to meet this vision [38-40].


Minister Jayant Chaudhary responded that early adopters of any new technology gain a “first-mover advantage” and that the economic “pie” expands as AI is adopted [41-44]. He observed that AI is still largely at the promise stage in India, but that it will affect every profession-from farmers to accountants-by providing personalised tools that increase productivity [45-47]. While acknowledging that AI will generate new roles such as contextual-mapping agents and voice-assistant trainers, he warned that productivity gains must translate into a more humane work-life balance, lest people end up working harder rather than happier [48-55]. He further highlighted that AI can support special-needs students through early screening, teacher sensitisation and personalised learning pathways, enabling every child to stay in school [71-78]. On the language front, Chaudhary argued that AI-driven multilingual tools will dissolve linguistic barriers, noting that models such as Sarvam can run on inexpensive edge devices and that the medium of language should no longer impede communication [85-94][98-99].


Aman Jain illustrated the “pie-expansion” with the retail sector, pointing out that e-commerce now accounts for only 7 % of total Indian retail but is expected to drive growth as the economy moves towards a 5-8 trillion-dollar size [60-61]. He asked how AI can ensure that skilling reaches traditionally under-represented groups-including people with disabilities, residents of remote or Northeastern regions, and other marginalised communities [68-70]. Jain cited Meta’s Ray-Ban “Be My Eyes” glasses, a Meta-developed assistive-technology feature that was shown to the Prime Minister, as an example of technology designed for inclusive impact [82-84]. He also mentioned Meta’s work on an AI Coach that supports multiple Indian languages, reinforcing the view that the focus should be on models that work locally rather than on frontier-only models [98-99].


Building on the inclusion theme, Bhutachandra Shekhar, representative of the Ministry of Education, described the Anuvadini initiative, which has translated skill-related manuals into 22 Indian languages and converted them into audio-visual formats to serve low-literacy workers such as plumbers and painters [229-256]. He argued that traditional skill books, which rely heavily on images without textual description, are ineffective for many users; the AI-powered visual-arts library can describe images in the learner’s mother tongue, thereby improving comprehension and uptake [250-256]. This multilingual, audio-first approach aligns with the broader consensus that AI must be accessible across India’s linguistic diversity [85-94][229-256].


Pankaj Kumar Pandey, IAS, Principal Secretary, Karnataka (Education & Personal & Administrative Reforms), stressed the necessity of breaking data silos within government. He explained that departments such as agriculture, energy, horticulture and disaster management each generate valuable datasets (e.g., weather, GPS, cropping patterns) that must be shared to enable integrated services-such as synchronising irrigation power supply with weather forecasts [211-224]. Pandey called for a cultural shift among civil servants to view data as a shared resource and highlighted a recent workshop aimed at encouraging inter-departmental collaboration [221-224].


The conversation then turned to the role of public-private-academic partnerships. Deepak Bagla, Mission Director, Atal Innovation Mission, recounted that AIM now operates innovation labs in 10 000 schools (roughly half in villages) and that a recent nationwide hackathon generated over 25 lakh prototypes, earning a place in the Guinness World Records [284-304]. He advocated for a unified “dashboard” that would link school labs, incubators, mentors and policymakers in real time, thereby streamlining collaboration and scaling grassroots AI talent [401-414]. Bagla also highlighted the PM Setu scheme, which earmarks ₹60 000 crore for upgrading India’s Industrial Training Institutes (ITIs) into clusters that partner with industry for curriculum design, trainer recruitment and governance [112-124].


Darren Farrant, United Nations Information Centre, positioned India as a model for the Global South, noting that the country’s linguistic heterogeneity and large-scale grassroots innovation make it an ideal test-bed for multilingual AI solutions that can be exported to other developing nations [360-365]. He warned, however, that the AI divide remains a risk; without proactive reskilling programmes, large-scale job displacement could occur in the Global South, underscoring the need for inclusive policies [366-368].


Across the panel, several points of agreement emerged. All participants endorsed the importance of inclusive AI skilling for disadvantaged groups, citing the Skill India Assistant, multilingual AI Coach, teacher-sensitisation tools and the Anuvadini audio-visual resources as complementary pathways [68-70][71-78][229-256]. They also concurred that AI is more likely to create new employment opportunities than to cause net job loss, emphasising first-mover advantage and the expansion of the economic “pie” [38-40][55-58]. The consensus on multilingual AI highlighted India’s diversity as both a challenge and a strategic advantage, with speakers noting that language-agnostic models can serve domestic inclusion and be exported globally [85-94][98-99][229-256][363-365]. Furthermore, there was broad alignment on the need for integrated data sharing across government departments and a unified platform (the proposed dashboard) to coordinate innovation ecosystems [211-224][401-414]. Finally, the panel uniformly stressed that public-private-academic partnerships-through initiatives such as PM Setu, AIM labs and industry-led curriculum redesign-are essential to scale AI-enabled education and skilling [112-124][284-304][418-423].


A point of disagreement surfaced around the impact of AI on employment. While Aman Jain and Jayant Chaudhary argued that AI will generate fresh roles and expand the economic pie [38-40][55-58], Darren Farrant cautioned that AI could precipitate large-scale job displacement in the Global South, calling for robust reskilling programmes to mitigate the AI divide [360-368]. A second contention concerned the optimal delivery medium for skill content. Bhutachandra Shekhar advocated for audio-visual, language-translated skill books to reach low-literacy workers [250-256], whereas Aman Jain and Jayant Chaudhary promoted AI-driven digital platforms such as the Skill India Assistant and teacher-sensitisation tools for personalised learning [68-70][71-78]; the panel did not reach a definitive consensus on which approach should dominate.


The discussion also included a scaling question posed by moderator Manav Subodh to Rishikesh Patankar (NSDC) [424-426]; the answer was provided by Ashish Pratap Singh, CEO of Prasima AI, who described how their autonomous AI agent eliminates a 35 % productivity loss for MSMEs, achieves 99.9 % compliance and delivers rapid ROI [158-168].


Manav Subodh also highlighted a farmer-son innovator who created a voice-based AI assistant that delivers agronomic advice over a basic phone call, demonstrating low-tech, high-impact AI for rural users [427-428].


The discussion yielded several key takeaways. First, AI skilling is already being rolled out at speed, with ≈ 15 000 youths trained in the first two months of the UA AI Initiative for Skilling and a target of 100 000 [12-13]. Second, youth-led AI solutions are delivering tangible social impact: the offline AI for Cardio diagnostic tool improves rural healthcare [23-25]; the autonomous AI agent from Prasima AI eliminates a 35 % productivity loss for MSMEs, achieving 99.9 % compliance and rapid ROI [158-168]; and Ayurveda GPT provides multilingual, source-cited answers from traditional manuscripts, showcasing domain-specific AI for cultural heritage [178-183]. Third, AI is being framed as a new utility-“the new electricity”-with the “switch” needing to be in the hands of the young to become both creators and consumers [194-200]. Fourth, inclusive design is central: early identification of special-needs students, multilingual AI Coach, audio-visual skill resources and assistive devices such as “Be My Eyes” glasses are all being deployed to ensure no one is left behind [71-78][82-84][229-256][85-94]. Fifth, cross-sector data integration (weather, energy, agriculture) is identified as a prerequisite for AI-driven public services [211-224]. Sixth, the ecosystem approach-linking government, industry, academia and grassroots innovators through programmes like PM Setu, AIM labs and a unified dashboard-is deemed essential for scaling [112-124][284-304][401-414]. Finally, the summit positioned India as a potential leader for the Global South, with its multilingual AI experience offering templates for other developing economies [360-365].


In closing, moderator Manav Subodh reiterated that AI leadership is not solely about models or compute but about investing in people, skills and opportunity, urging all stakeholders to continue collaborating to translate AI potential into societal impact [437-442]. The session therefore concluded with a collective call to action: to expand inclusive AI skilling, to forge deeper public-private-academic partnerships, and to ensure that the benefits of AI reach every corner of India and, by extension, the wider Global South.


Session transcriptComplete transcript of the session
Safin Matthew

Thank you very much. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. I’d like to welcome everyone to this special session titled AI for Skilling, AI for Impact, Skilling, Inspiring and Empowering the Next Generation by Meta in collaboration with 1M1B, 1 Million for 1 Billion Foundation. India stands at a defining moment in its AI journey. Not just building technology, but building skills, innovation, capacity and future -ready talent at scale. As AI transforms industries and societies, the real question is, how do we equip young people? with the skills, platforms, and opportunities to innovate with AI and create meaningful impact. To introduce to all of you, I’m Safin Matthew. I’m a vice president at 1M1B and your host for the session.

Today’s session brings together leaders from the government, industry, academia, innovation ecosystems, and global institutions to explore how AI skilling and youth -led innovation can drive inclusive growth in India and across the global south. The session also builds on the URI initiative for skilling and capacity building led by META in partnership with India AI, AICT, and 1M1B, an initiative that’s focused on nurturing and scaling youth innovation using AI across the country with a commitment to empower 100 ,000 youth on generative AI and large language models. And I’m pleased to share that in the last two months, once the initiative kicked off, about 15 ,000 youth have already been skilled through the program, and we are looking at scaling it up in the coming months.

In a few months. We have a few innovators present here today. In fact, three of the inspiring young innovators who are here to show us how they’re using AI for good and especially innovating using large language models. The innovators you will hear from today have been identified through the UA AI Initiative for Skilling and they have been identified through a hackathon and a hunt for startups who are using LLMs in a very creative manner. So these young innovators are not just learning AI. They are applying it to address pressing societal needs across India. And each innovator will do a short pitch of two minutes. I’d like to begin by inviting one of the innovators to go ahead and present his pitch, AI for Cardio.

Let’s have a round of applause as we welcome the young innovator.

Nandakishor Mukkunnoth

Good morning. My name is Nandakishor. Hello, everyone. In India, there are… There are around 30 ,000 primary health centers out there. so imagine a farmer having chest pain going to this primary health center what they are going to do, they will take an ECG and a blood report but the problem is there is no in house cardiologist they have to send it to a central hub then return the results back to the primary health center so the problem is it’s around 30 to 40 minutes delay is happening delay means the mortality rate is going high so we build AI for cardio a desktop application that works completely offline where the medical practitioner can upload ECG image along with blood reports to get the final diagnosis so it’s powered by LAMA 3 .11 division model we fine tuned on 800 GPUs and it has been published in one of the most reputed medical journal in the world called British Medical Journal so this one is actually have an interpretation system called cross model attribution system but the model is actually giving the idea where the model is actually focusing on you can see on the image there is a red mark that the model is actually more focusing on that part so we actually implemented on around 100 plus PHCs and helping 1000 plus patients so the motto is simple, wherever you are even you are in a rural area, the life should have been saved, thank you

Safin Matthew

Thank you so much, I think that deserves a round of applause excellent use of AI for the masses, thank you so much Now we have the Honourable Minister here with that we can begin with an insightful fireside chat that aims to explore India’s vision for AI skilling and how collaboration between the government, academy and industry can unlock large scale potential and opportunity, now it’s my privilege to invite on to the stage Sri Jayan Chaudhary Sir The Honourable Minister of State Independent Charge for Skill Development and Entrepreneurship and Minister of State for Ministry of Education and joining him for a fireside conversation is Mr. Aman Jain, the Senior Director and Head of Public Policy, India Meta Applause Applause Applause Applause Applause Applause

Aman Jain

Firstly, it is incredible to see so many people in the room still. It’s been five days, and I feel like my first reaction when I came today was that, you know, it seems like more people every single day. So it’s incredible. Thank you, everyone, for being here. I hope the traffic will get better where you’re exiting. But thank you for being here. Firstly, thank you to the Honorable Minister and guest who’s graced us with his presence. You know, one of the things that’s become very, very clear at this event, and especially in the last five days, Honorable Prime Minister in his remarks also spoke about, you know, a lot of the importance of AI and what we want to be able to do with AI is essentially going to become a function of skilling.

And we are. We are lucky to have a dynamic minister in charge for that very, very important portfolio. So. So I had a couple of questions, and we could just hear your thoughts on them. Just to start off, I’ll ask the sort of – I don’t want to be provocative, but just make it interesting. Why not? So make it interesting. So, you know, and because I referenced the Prime Minister’s remarks, you know, at the beginning of the summit, you know, he did say that, look, AI taking away jobs, the very notion is kind of misplaced, you know, stating that technology actually creates new opportunities rather than eliminating them. So I want to know what are your thoughts on this, because that’s obviously top of mind for folks that, you know, with more proliferation of AI, are we going to end up losing jobs?

And then, you know, depending on how you think about it, also from your vantage point, then what would be your advice to you?

Jayant Chaudhary

I think it comes down – when any new tech comes in, if as a society we adapt to it early, and if you’re a first mover, second mover, maybe even the third mover, then you’re in an advantageous position and the size of the pie will go up. So as currently we are not seeing that because AI is not adopted at scale yet. It’s the promise of it, the idea of it, the multi -dimensional nature of it that is exciting everyone. And everyone in the room knows whether I’m a farmer, I’m a student, I’m a professional, I’m an entrepreneur, I’m an accountant, I’m a strategy consultant, I’m a student. It’s going to affect all of you in very personalized and intimate ways.

You’re going to be using it and you’re going to be affected by it. So I think India is in a position where after this event, we’ve created a huge mass of people that are going forward on this, that are engaging with this without fear. There is no fear. Yes, there’s confidence. And with time, we’ll be able to, with our architecture, build trust because trust becomes very important when you are… giving away a lot of space to technology but it is inevitable. If you look at the offline online retail for instance as an example, people still like going to the small shop the Kinara shop and having that conversation but at the same time you can see a dramatic shift towards the online model.

The impact that internet had, it probably took away a lot of jobs but if the share of the pie went up, the possibilities today using social media monetization that I see, I have gone to villages and I see people I would ask them earlier what are you doing, they would say have you done BA pass, I would say what are you doing or even an MBA and they say what are you doing now and they say I am doing agriculture, I came back. Basically I lost out or I gave up and I said okay now I have no choice I have my two acre, I have to till that land till I die. Now when I go to the villages you see young boys and girls walking with a stick.

So they have been able to monetize and create a new space for themselves. I do believe AI will come up with a whole set of new jobs. context mapping for instance we are just assuming that large enterprises will take 500 agents, who is going to train those agents so that the process flow actually gets automated, who is going to contextualize even now in India the voice that speaks in the lift doesn’t seem like a voice that is familiar they still have not been able to get the kind of the language, the nuances and India is so so diverse, so for any AI model to represent all of us as Indians, it will take time, so that contextualization is a story where I think you are going to see a lot of people at the grassroots getting opportunities our startup system is very robust and the best part is that with a huge population that is savvy, that is adept adaptive, that is trained and skilled the probability is higher that the best new ideas of the future are going to come from India this is what that event is about seeding that ambition in every young person and when those enterprises get created there will be job creation but will every job be the same as it was 10 years ago it isn’t even now the catch is that we are told every time technology comes in it’s supposed to make your life easier but everyone ends up working harder so this is the question in the room AI will make us all more productive will we be able to be more humane and will we value our experiences as human beings more as a society or will life become harder for us this is where the tagline of the event can we become happier citizens can we engage with our governance models in a more transparent manner can we take out more time for more productive aspects of our life the blurring between technical and non -technical can we make the world a better place can we make the world a better place can we make the world a better place can we make the world a better place qualified people, I believe that would be great because it offends me when we say white collar, blue collar.

That itself is offensive because what are we trying to say? So I think those things will get blurred because opportunities are immense. You don’t need to be have knowledge of programming to become a coder or to create apps, to create products. That is the beauty of this AI.

Aman Jain

Absolutely. You know, you said said something on the pie increases and as an example and just to corroborate that point further, we’ve seen that in retail for instance where overall the pie has increased in size and so e -commerce actually is just 7 % of the total retail in India and as we go towards a 5 trillion, 7 trillion, 8 trillion dollar economy, that retail continues to grow sort of a fair bit. To that, while they receive a lot of criticism and they must evolve to better practices. and social security benefits for the big economy. But if you look at the aggregating platforms, were those small dhabas and restaurants actually getting any business? And could they have survived? And if not these aggregating platforms, what other tool would have come that would have changed?

So we just sit here thinking that life will be the same, it will not be the same. There will be something, something all the time, there is going to be flux and that’s the dynamic nature of a globalized world. Absolutely. You know, you mentioned the theme of the summit, the theme is AI for all. So your thoughts on how we can use AI to ensure that it, you know, skilling and the benefits of AI reaches, you know, what would be called traditionally underrepresented groups. So, you know, whether it could be people with disabilities, it could be people in far -flung areas or, you know, in the Northeast or anywhere else across the country. How do we make sure that AI and the benefits of AI and skilling, along with it, reaches every part of the country?

Jayant Chaudhary

AI impact and the kind of products we’re already seeing some of them are displayed here have a tremendous possibility for people with special background, handicapped disabled people and one of the challenges in the education system is that we need to screen and identify those students earlier so that a customized more sensitive environment can be created for them in the classroom so one aspect is teacher sensitization does a teacher have the capacity are there tools out there which is why we tried a precious app in our schools and a second iteration is now being rolled out I’m sure there can be a layer of or some kind of augmented augmentation using AI but if you’re screening early because in the Indian case our if you look ask me how many school going students in India are categorized as with special needs less than 1 % and what is the actual figure probably 6 -7 -8 % so and why are children then dropping out?

This is one of the reasons, one of the biggest reasons why if children are not completing school because that school is not able to capture their unique capability. So no child should be left behind. The best teachers were the ones who didn’t teach the best kids, who paid the most attention to the weakest kids, children who are not following, right? Every child is important in that classroom. And now with AI, there are so many teacher tools out there that individual journeys can be mapped, can be analyzed, and corrective action can be taken real time. So that is the power of how AI at scale can transform our capabilities and competence. Northeast, tough geographies, again, AI has solutions there.

On the Skill India Digital Hub, we’ve tried, Meta has been partnering us and we created Skill India Assistant, which again is making the journey easier for anyone who comes to the portal. Skill India Digital Hub is now a DPI we are now going to add more and more data layers on it and try and create more value for researchers create an open stack if you can IIT Madras is working in similar fashion on the Education Centre of Excellence in Education that also includes elements of skilling but the idea there that is being proposed is also to create a full education stack. So all of the ed tech solutions all these new start ups, all the vibrancy that we are seeing in this summit and in this room those players can now come on board and partner government in our journey to change lives

Aman Jain

I probably should have started with this thank you for visiting our booth you were just there and we had the honour of also hosting the Honourable Prime Minister on day one and I was there and he was very sort of engaged and what we had shown to him was this feature on the Ray -Ban glasses Meta Ray -Ban glasses is called Be My Eyes. And that exactly is that point that how it helps, you know, that is a specific feature for people with, you know, impaired vision and or blindness. But there are so many different sort of use cases where AI can truly help.

Jayant Chaudhary

Language is so important. That language, people will slowly move away from this parochial mindset of its pronunciation is not good or it does not speak my language. It does not speak Tamil, does not speak Kannada, does not speak Hindi. It’s going to go away. Our way of thinking will then migrate to what is he saying? What is she trying to communicate? The idea that she is talking about. That is most important. The medium, which is just a language, should not matter. Those barriers will go away very easily with AI. That capability is already there. You are working on that. Sarvam has come up with a very small edge computing model that is not expensive and can run on your, you know, any device that you own.

Aman Jain

and because you mentioned Sarvam as well we are working with them on essentially what we call the AI coach and again the focus there is on multilingual, omnilingual, how many more sort of languages we can add and that’s I think also a fairly sort of good framing I think the Indian government did at this event in essentially saying that look it’s about it’s not necessarily a race for frontier models but it’s more about models that work for you here and that should be a focus. You briefly touched upon it so I wanted sort of you know we’ve got many organizations represented here you know what would be sort of your advice or clarion call for industry to partner with you as you’re thinking of advancing many of these skilling initiatives how can industry partner more with you in your work?

Jayant Chaudhary

Yeah so my one ask really is that enterprises are created and value is created and value is created when you are able to widen your engagement with your clients, with your new markets, with a new base of employees. But if you do a real analysis of corporates in India, as they have come to this point, they are still hiring on closed networks. It’s the elephant in the room. They will hire based on trust and faith, which must be high. So we need our industry partners. We need to move away from the first term and fix criteria. Because the same industry that is going to get to the IIT when I want to hire, when you come back and say, I’m going to do this, then we now see the system that people pick from the qualifications and the degrees and more of funding and skills and confidence, real employment.

So that we need to do a state -of -the -art business development. We don’t want our ideas and qualifications in our colleges, our engineering colleges, our state universities to be closed institutions. They need to open up their doors, have wider debates, and our industry partners need to really interact with them. And try and create models where the next IT can be generated from their institutions, rather than their own lives. So it should not be about ownership, it should be about participation, it should be about capacity. Using our academic infrastructure. One new scheme that has come in that I’d make a pitch for is PM Setu. For the first time, 60 ,000 crores, it’s a lot of money.

60 ,000 crores is being put in our ITIs. So our ITIs are the grassroots organizations, government ITIs, there’s maybe more than 3 ,000 in the country. They are going to get benefit from this. We’re going to create clusters, it’s not going to one ITI. The idea is not just you create a swanky building or a lab and let it be. It is also incorporating ideas of governance. Can these become institutions? and create a network. So it’s going to be five ITAs in a cluster working together, aligned to the local economy, to the needs of the MSME there, and with a partnership where an industry partner will be onboarded as part of the governance of that institution. We want industry to say, we will run these five ITAs.

We will design new courses in those ITAs. We will look at our trainers. Globally, if you look at the skill ecosystem, the people who are working in industry are the people who are going to their, in the TAF, for instance, in Australia, which is our equivalent of ITI. People who are currently working in industry are going there and working and training. Similar in European guilds. People who know cutting -edge practice, they know what the employers want. They are the ones who are actually going and teaching in these institutions. In our system, who is teaching? The state is the one hired by the state. The state 30 years ago, who perhaps his trade is carpentry, now he has to teach.

AI, welding, electronics, circuitry. So if you yourself don’t have that domain knowledge as a trainer, as an instructor, your capacities are limited. So we need to create a repository of trainers that again industry will come in. We need to create new courses. Do you know we still teach Hindi stenography? It’s a one year program. You should wonder why we are teaching it and why are children going and learning it? Because they need the certificate. No one will tell you this for recruitment, which is why they are doing that program. All of this needs to change. So while we are talking new technology, we are talking AI, we are seeing the visible impact at the grassroots.

We need a lot of rejuvenation in our educational institutions.

Aman Jain

Absolutely. I know you are short on time and so again I would like to thank you for taking the time. I think in a few minutes you have really shown a very important role in the development of the education system. very exciting vision and also clear way for how industry should partner at Meta. We obviously believe in this a lot and we are already working with your ministry with the skilled assistant. We hope to do more and you’ll see that in the coming weeks and months. And to everyone else in the room as well, I’ll again mention this, it is really a privilege to have such a dynamic minister in charge of what will become probably the biggest sort of area for disruption over the next few years, which is going to be scaling education and so on.

So thank you again for your time.

Safin Matthew

Thank you so much, sir and Aman. That was a fantastic conversation and if I may, please request yourself one photograph with all the panelists. If I can request all the panelists to come on stage for a group picture. I’m not sure from morning it’s going on. Yeah. Thank you so much. While we get ready for the next panel, I would like to request our other two innovators to come forward and pitch their innovations as well. So I’d like to first invite Prasima AI, if you can come forward and present your pitch.

Ashish Pratap Singh

So good evening. My name is Ashish Pratap Singh. I am the CEO of Prasima AI. My father runs an MSME business in Lucknow. wherein all the data is actually scattered across email, spreadsheets and WhatsApp leading to 35 % productive time loss and 10 -15 % in revenue leakages. But this is actually an all India problem leading to 8 lakh crore plus of annual cost overruns across Indian MSMEs. There are 7 crore plus MSMEs across India. So how we have solved the problem is by building an autonomous AI agent that can think, act and execute on your behalf. Users can get work done by the agent by giving it simple commands to do work like tender extraction, tender tracking, CRM querying and calendar management.

Under the hood, we have used meta foundational models, particularly Scout and Maverick because in our internal evals, we have found them to be particularly good at reasoning, planning. orchestration and tool usage results. We have achieved 15 ,000 minutes plus saved monthly with 99 .9 % compliance accuracy. What sets us apart is we have reduced the productive time loss from 35 % to nearly zero with a six to nine month payback period for our clients. Currently, our revenue standards stand at 41 lakhs in the last six months. At the end, I would like to thank 1M1B and Meta AI for this opportunity to collaborate with them. Thank you so much.

Safin Matthew

And all the MSM is here. He’s someone you could reach out to for an interesting solution. Next, I would like to invite Ayurveda GPT, who’s got a very interesting solution. If you visited, I think, hall number 14, you would have seen a part of the solution presented there as well. They have a stall there. Yeah. Nand Keshav. Sorry. Ayurveda GPT.

Ayurveda GPT Member

you can just simply query to that particular model and it will give you answer right from the manuscript along with the dedicated source. So further, there are a lot of government initiatives being there, but there hasn’t been a specific model which directly rooted from the manuscript. So this was the initiative that we kind of launched. And further, our current model, you can directly see it on the screen itself. That’s a demo where I’m having a real -time conversation with a Rishi related to the manuscript. So yeah, thank you.

Safin Matthew

So are you guys ready to take it to the global level? Thank you so much. That was a fantastic initiative taking Ayurveda to the global stage using AI. Thank you so much. Now we move on to the leadership dialogue titled Empowering Youth and Driving Innovation Through AI Skilling. May I please request our respected panelists to join us on the stage for the discussion. Mr. Pankaj Kumar Pandey, IAS Principal Secretary, Government of Karnataka, Department of Education, Department of Personal and Administrative Reforms. Let’s welcome with a round of applause. Department of e -governance Mr. Rishikesh Patankar, Vice President NSDC, Mr. Bhutachandra Shekhar CEO Anwadni and CCO of AICT Mr. Darren Farron, Director United Nations Information Center India and Bhutan I think Mr.

Deepak Bagla who is the Mission Director for Hotel Innovation Mission, he will just join us in a few minutes he is in the other room and the discussion will be moderated by Manav Subodh, the Founder and CEO of 1M1B

Manav Subodh

Hello everyone in the room, my name is Manav, you know and trust me I didn’t change my name yesterday I was always Manav until the Prime Minister just you know, casted the Manav vision for us and it’s yeah, what a vision for all of us to take AI, but you know thanks to my team my parents I did, they made me one of quite some time back. So welcome everyone. We have a very high energy panel today and very limited time. And we’ll try to make it interesting and I’ll try to utilize the maximum we can out of the short time that we have amongst these distinguished people with me. So, you know, I’ll start off with, you know, AI is the, they say it’s the new internet.

AI is the new electricity. The question is who has the switch? And today that’s what we will be discussing. You know, if the past technology patterns we have seen that there have been a few countries who have made it and the rest of us consumed it, that needs to change. And India is going to change. And when the youngest population collides with the most powerful technology, which is artificial intelligence, we’re going to have creators and consumers. And this is the opportunity. This is the opportunity for India. to have AI creators like what we just saw, Ayurveda, GPT. These are local innovations that we need to see. So I’ll start with the question first to Mr.

Pankaj Pandey. And Mr. Bagla would be joining us, but Pankaj has been leading. He’s the Principal Secretary of E -Governance at Government of Karnataka. And there’s a lot of action the government is taking in Karnataka, especially on the skilling front. So the question, Pankaj, to you is, what role is the government of Karnataka playing to skill the government workforce and make sure that we are aligning the government official also with what’s the trajectory that the country is taking?

Pankaj Kumar Pandey

So thanks a lot and congratulations to the young innovators for having presented these three concepts. And it’s very well done. My compliments to them. If I look at the government… See, the government, the verticalization or in terms of protecting your own territory and the information is very direct feeling that, okay, this entire data and this entire data set belongs to me is extremely high amongst the department. And the government is one of the institutions where we create a huge amount of data. You take energy, you take agriculture, horticulture, various departments. Now, for a good and targeted delivery of the services of the government, we need to ensure that these data sets talk to each other.

And therefore, one thing which has to change is the change in the mentality of the people working in the government that we have to talk to each other, we have to collaborate with each other. We need not just create data, but we have to collaborate and ensure that this data set is used for the purpose for which it is meant. And, for example, I give you a simple example. Like the farmers will require data on the weather. obviously this weather data also has to be used apart from the cropping pattern to ensure that the power supply is given in the various irrigation pump set feeders which go and supply the power to your irrigation pump sets now these two are related to each other apart from the cropping pattern so your GPS data to the granular level your data regarding the energy and the data regarding the cropping pattern and the weather conditions are interrelated now these department needs to talk to each other like energy agriculture, horticulture your disaster management cell all of them need to talk to each other and therefore the mental frame of the government officials have to change in fact in this direction we had a workshop we called the second in command of all the government departments first who maintain their data every department has got some kind of IT cell they have IT cell which manages their data manages their software we wanted to target them that you need to talk to each other you should you should see that what kind of potential exists if you start collaborating.

So this is one thing and obviously this will also require the academia and the industry to come together with us and that is where we want they have to be taken. Thank you.

Manav Subodh

Thank you very much, Pankaj. My next question is to Budhaji. There’s a lot of work happening on Anwadini AI and what the minister was talking about that we need local languages and you are leading a big initiative in the country, especially in higher education. So I would like to have your views on how this is coming along and how the grassroots participation can be critical and will be critical looking at some of the work that you’re doing.

Bhutachandra Shekhar

Thank you. Good afternoon all. On behalf of Minister of Education, Government of India, I welcome all of you for this thought -provoking, sharing is caring. That’s been the first standard. I think you know what a wonderful event is happening from last four to five days. Knowledge is flowing from one place to another place. Not only within our country from across the globe. You know so because we all believe Vasudhaiva Kutumbakam. The entire world is our family. That’s the reason you know it says you know wellness for all. You know for everyone. You know happiness for everyone. Welfare for all. You know very very apt. So I just come back to this because I see this in a little different way.

Because have you ever seen skill books anytime? For a plumber or a painter. Most of the books has images without a description. Have you observed? So the biggest problem if you give these books to notebook LLM to Google. I’m just taking a notebook LLM. You can take any such kind of a tool. It can’t even describe what it is. So that’s where the Anuvadini Ministry of Education component comes into picture. We have created an advanced visual arts library. Learning model. It can understand what is there inside the image. And it will describe what is there inside that image in Indian language. because as you all know that 85 % people in our country, they speak their mother language.

So the way they communicate, they trade in mother languages. So that is the biggest issue. So what we did, we have translated all skill -related books into 22 Indian languages so that the plumber, painter, you know, who is not well -educated can easily understand. But, you know, we did that and we have one very big event in Bengaluru. So my wife is also from Bengaluru. I thought I will go and, you know, little show off and send a photo to my wife saying that, you know, I am there and, you know, I help your people. Then I got a shock in my life. One painter, I just asked him, sir, you are also there in that event.

So basically I asked one simple question, are you happy we have given you book? He said, sir, you don’t understand our problem. I said, please explain what is your problem. You know the shocking answer he gave, sir. He said, I am a painter. In one hand I hold a paint dabba, other hand I will hold the paint brush. how I will hold the book do you see the difference between human intelligence and artificial intelligence so we are creating all technological solutions assuming that one human with less educated person can use it then we have come up with a wonderful audio based books for them because see I think this is where I see AI comes into picture but I put this in a three simple prospectus learning, earning, leading this is a simple three dots which we need to connect with respect to the skilling and connecting that with artificial intelligence but when I say artificial intelligence artificial intelligence with data intelligence with business intelligence because these three dots are interconnected but because people love artificial intelligent words so they are just simply using it but the matter of the fact here is the content what you have is not self -explanatory one.

The second thing, if someone wants to learn it, the best way of learning is in their own mother language. But here the challenge is, if you take exam, again I am taking Kannada, but you can take any language. Example, if you take Hindi. Punjabi Hindi is different than Bangladesh, West Bengal. If someone is coming and speaking in Hindi, their Hindi is different. Then Bihari Hindi is different. Then Bhojpuri Hindi is different. Then Haryani Hindi is different. Then Rajasthan Hindi is different. Do you see the issue, right? So the neutralization of the softwares, neutralization of these languages into a common neutral Hindi. Do you see? That is where Anuvadhani comes into picture because he was asked me to talk about Anuvadhani.

So basically we are a small learning model. Nothing rocket science, but we are trying to solve the major problem of making everyone understand what it is in a pictorial way, in an audio -based as well as in a video. based and recently as you know there are lot of cling and all I hope you all are using it see this advanced technology is given us wings to fly because if you are just you know talking maybe 40 % people can understand but if I am showing you something right so the because human being has a best of the best ability of capturing the impressions of images that is what we will run it so fast and we called it as videos right that is the reason people like youtube videos so now the matter of the fact is we are translating all this skill related content in a AR VR and a video and pictorial basis so that people can understand easily and at the same time it is in multiple languages not only in Indian language you know if you are interested to learn multiple languages let us assume I am the one who is getting trained but you know I am planning to play as in Japan so now the matter of fact is skill ministry come with a very wonderful initiatives where I can learn everything in Japanese as well as in my own mother language and including English so what a beautiful combination we are creating I see that this artificial intelligence is no more an artificial intelligence it’s an advanced India God sent an AI to make India as advanced country advanced India so this is where I clearly see it do I have one more minute or

Manav Subodh

yeah we can yeah please no no I have more questions for you but thank you thank you so much

Bhutachandra Shekhar

in fact I mean if you allow I just connect these three dots see the learning is important as well as earning is also very much important because we are competing with something called artificial intelligence you know the much more better intelligence but I would like to take you back to one level to prove that you know human intelligence is greater than artificial intelligence the reason being is you know there is a soap company I’m sure you all use soap right so one of the European customer complained saying that I received a soap box without a soap so the company they spent 300 million and created the best ICR engine in the world which can peep inside the soap box without putting a hole to see whether the soap is there or not and he implemented everywhere but the company they have in India also it is called Sini Tarakosa you have seen the ad also in the newspapers and TVs so the guy who is sitting there he never implemented it the CEO got pissed off he came visited India and he said what is the reason you are not using you give me an explanation I spent 300 million do you see the Indian best of the best brain the guy who is sitting there is a 6th standard failed farmer and a small labor and he said sir I don’t need to use this so he said prove it in front of me that you don’t need to use it you know what he did he just took a table fan and put in front of the conveyor belt of the soap so what happened if the soap is there if the soap is not there you know it is empty box right it fly he said I don’t even need to pick brothers I am telling you dear friends this is the best of the best brains Indian is carrying you know Indians have the best capability of connecting right and left brain we are the best of the best human beings living in this world the only problem we are not confident we are not working as a team that is the only problem I think the second dot you know we are not converting our skills into a earning which is much more important because you know if you earn then only you will live right because you need money at the same time how you can survive take it to the next level maybe I will just you know try to pass on to the other panelists I don’t want to occupy their time but we will discuss further

Manav Subodh

in fact you know there is an innovator in the room Bhubaneswaran I don’t know if he is here he is a farmer’s son and he himself has created a technology which is voice based AI for farmer guidance and when I was talking to him he was saying nobody none of the farmers like the complicated apps you know there’s too much too much of content out there I’m just making a simple phone and a voice based service and that’s what he’s getting that grass root knowledge to AI which is so important and one of the stories that he was sharing so thanks Bhuvneshwaran for being here and any one of you who are interested to know his technology he’s a local innovator he’s sitting back in the room but I’ll I’ll turn the next question to Baglaji who’s the mission director at Adal Innovation Mission and one of the big things is we need policy, policy for AI acceleration and there are innovation labs that Adal Innovation Mission is putting up in the hinterlands of India so Mr.

Bagla how can a local innovator participate from the hinterlands of India and still make some thing which is globally relevant or does he need to make something globally relevant

Deepak Bagla

you know first I’m sorry I got a bit late I was in hall number 17, 19 you know what was happening there they had identified so we have tinkering labs currently in 10 ,000 schools 5 ,000 in city, 5 ,000 in village actually 5 ,500 in village 4 ,500 in city and government schools and private schools all included so in the next 96 hours quick background, Atal Innovation Mission which is the government’s innovation mission it is from school to space and I’ll give you a quick introduction on that, will turn a 10 years and it’s 10th birthday which is after 96 hours it is the world’s largest grassroot innovation mission 1 .1 crore young entrepreneurs have moved to it and I’ll give you an answer you and I are now related There were three kids, one 11, one 12 and the other one 14.

You know what are the solutions they came up with? One has given a solution of radiology. How he’s brought in AI that reads your, when your MRI happens and gets it out of you. The other one is treating mental health among students with AI. These are kids which are 11, I can’t even call them kids. You know, I’ll give you a small example. I was just posted into Atal Innovation Mission in July and May. And I said I want to test the power of this platform. I’m just telling you at the school level to begin with. Garima, my colleague is sitting here and it was in September mid. And I said let’s do a hackathon. And everybody told me it’s time for a holiday.

Everyone is taking exams, midterms. Don’t do it now, do it later. I said no, let’s do it. None of you know it. None of you know about it because there was no big act. Five weeks later, we had over 25 lakh prototypes. It is now in the Guinness Book of World Records as the world’s largest hackathon. And I’ll tell you what happens, what I’m saying here. These are not just entries. These are solutions to challenges from that small village. I remember, it was a Saturday. I was doing my puja. I had my phone with me. It rang three times. I didn’t pick it up. The third time I picked it up. The guy said, sir, I’m speaking in a jittery manner.

I’m a 9th class student. I have a problem. Please sort it out. I said, what happened? He said, I want to give three ideas. The teacher is only allowing me to give one. You know what I’m trying to tell you? This is the problem. This India is a different India. He finds my mobile number Calls me up This India cannot be stopped now We talk about That we are number 3 in start -ups in the world And number 2 in the number of unicorns and all This is just a drop in the ocean This story is just 3600 years old 3600 days old This Atal Innovation Mission story Just imagine all these people Coming into your workforce And they are solving The smallest of problems Which are contextual And the other interesting thing Now, 2 months ago Yes This is just a drop in the ocean Mangalore has a government school Our 5 brothers We have a government school So every year there is a global olympiad of robotics.

They select from the best all across the world who go and present. And it’s a very difficult process to do it. This time it was in Panama. I got a call that our five children have been selected. I don’t have money for the ticket. My five kids flew to Panama. All within 96 hours of getting a visa and being there. And of over 90 countries, they came 13. It’s really unbelievable what is happening in India. And that’s what I was just saying in that room when I came from there. I said the future of India. And the biggest benefactor of AI in the world. which we call is the delta multiplier is India. We are 1 .4 billion. We will be 1 .6 billion by 2060.

You will be the largest on the planet. Just imagine each one of them with the power to make the change and the power to work together to make it happen. Which is what AI is doing now. It is empowering that youngster and it is giving them the ability to join hands with each other. The dots which you are joining. This power, we have not even thought of how it can be unleashed. But you know it cannot be stopped. You are now at that inflection point. and we are all underestimating how fast it will happen. We think it will take 10 years, 15 years. In India, it will happen now. So ladies and gentlemen, the future is now.

Manav Subodh

Yeah, the future is now. Thank you so much.

Bhutachandra Shekhar

And if you permit, I just want to add one. And see the kind of a transparent system government of India have. The school children from a small remote village, they got recognition and they got help also. This is the governance what Honorable Prime Minister Ji has created, a transparent and very valuable system for our next Gen Z as well as Millennium.

Manav Subodh

Wait, and I’m being told we have five minutes, so I’ll be making it very quick. And my next question is to Darren Farrant, who’s an Australian, and we were having a nice banter about the work. World Cup, that is going on.

Darren Farrant

sorry what is the world cup I’m not familiar with that I could draw your attention to the winter olympic medal when

Manav Subodh

and Darren and we work together and Darren is from the United Nations information center he’s based in Delhi he’s seeing it all happen and Darren not the world cup question which I’ll talk to you later but the question to you is very very quickly because we have limited time what role you think India can play in the global south and across the globe in taking AI and creating made in India for the world

Darren Farrant

well I think this week is your answer to that this is the first such summit we’ve had on AI in the global south and there’s a very good reason why it’s in India because India is a global leader in south south cooperation in sharing ideas in getting forward and of course just by sheer numbers one one one of humanity. It’s a microcosm of the world. What’s being done here, all the issues you might face with AI are already happening on a small scale, or not a small scale, but are already happening here in India. So the question of languages, well, that’s already an issue in India and you’re solving and dealing with it. So the experiences that you have, you can translate to any other country or any other context because you’re so diverse already.

So I think that’s why India is always going to be at the front of the pack in terms of getting out there and sharing ideas among the global South. And for us at the UN, that’s so important because we’re really worried about the AI divide, the people who might get left behind. So we really want to see India also as a champion of that, of making sure that people, not just in India, but around the rest of the world, get their opportunities to benefit from AI, especially in the area of skill like it’s great to hear of all the innovations. and all the skilling that will take place, but we do have to remember some people will lose their jobs on a large scale.

So what are the solutions we have to get them new skills to be ready for the future? Thanks, thank you.

Manav Subodh

And the question, Rishikesh, to you is, you know, how do you think we can scale it? You’re leading it at NSDC. You’re seeing it happen. What are one thing or two things we need to do to really scale this and make sure that the talent that we are developing is actually employable?

Ashish Pratap Singh

Thank you, Manavji. I think government’s focus is on employability, and it is always said that education is creating the opportunities, but skilling creates employability. And that is also focused in the current budget announcement which has been made, that employability has to be given more focus and employment will come through. And if you are talking about scale, I think some of the speakers have, I’ve already talked about the scale. Whatever we do in India is the world’s largest bid. digital literacy, financial literacy or the transactions which are happening online. I think with the right kind of mindset, skilling has not been that aspirational. But now with AI and multiple sectors growing in, I believe a lot of emphasis is now on improving the skill sets and it is lifelong learning.

And I think with the current government’s focus on multiple domains like logistics, maybe marine, aeronautics, aviation, I think there are a lot of opportunities which are created in the ecosystem. And with the right kind of ITIs who are now the 21st century Indian Institute of Technologies, which our Honourable Prime Minister thinks about, and the engineering institutions, TIIs. I think with all these, I think the stage is all set. We just need to create and come together. The canvas is vast. and whatever we do will be scaled up. Thank you so much. Thank you.

Manav Subodh

And I’ll just conclude with one last question to all the panelists. And, you know, public -private partnership is so important. So, one last question. Just wrapping it up. Just one last question and I’ll start with Mr. Pankaj Pandey. What can industry do to collaborate with your department to make this scalable and replicable? And that’s a question to all of us and we can wrap it up with that.

Pankaj Kumar Pandey

Probably we need the support of the industry the max right now. And we want to collaborate obviously with all the major companies which are there in the AI field apart from the startups which we have in Bangalore. And I think that will provide us the edge which we have in terms of being nimble -footed and adopt and adapt to the technology faster. So I think that is what we need. right now. Thank you.

Manav Subodh

Thank you so much, Mr. Pandey. Deepakji.

Deepak Bagla

Today, we don’t have a choice. It is now an imperative. Everyone has to work together, which is academia, industry, government, and each one of us has a stakeholder. The biggest challenge which I see in my job currently, so Atal Innovation Mission is the core entity which is responsible for the innovation ecosystem of the country to see what can be done. My entire focus now is how do I make one higher learning institution speak to another? One young school speak to another? And how industry and government work together? You know what is my dream? If I could take a moment.

Manav Subodh

No, no, please, please.

Deepak Bagla

If I have one dashboard, all my school innovation labs are there, all my incubators are there. The policy makers are there, the mentors are there. All together on that dashboard, speaking to each other, working together. My God. If it happens, unbelievable. Sorry.

Manav Subodh

The power of collaboration. Yeah.

Pankaj Kumar Pandey

So one thing which I really love about the Western concept is that movement of the people across sectors. So government moving into academia, academia coming to the industry. The guy who has worked in the industry also teaches there in the college. And again works in the government. This kind of a movement, if it is allowed, that will really help. The government will get to know what is happening in the industry, what is happening in the academy.

Ayurveda GPT Member

that you know we got NEP 2020. I strongly believe after the constitution of India, this is the best document have come up. It is connecting five simple dots. One is the education with the skill with the you know with our industry and with our talent and with our innovation. You know and research. I think these five dots are getting connected using this but you know I have a little different thought was all together what we need to do. Instead of doing a cast census for God’s sake no one know don’t want to know others cast. We need to know other skill. We need to do a skill census in this country so that we know what time is up.

You need to let me finish. So the skill census is much more important so that we know each and everyone skills. Let us do a SWOT analysis of it so that we know what is their strengths and weaknesses. We need to strengthen their weaknesses and you know make our country better and interconnect all these dots

Manav Subodh

together. Thank you. Thank you. And more power to India, more power to AI. Thank you so much for the panel. Thank you. Thank you. Thank you so much. A small memento for all the speakers. it’s from the impact summit team and as we conclude one message stands clear AI leadership is not just about models or compute, it’s about people skills and opportunity, if we invest in youth, we invest in impact thank you to all the panelists, thank you to all the audience you have been wonderful and have a good rest of the evening and rest of the summit, thank you so much and a big thank you to our institutional partners, Lloyd Business School and GIMS whose students have been here and engaging with us thank you so much

Related ResourcesKnowledge base sources related to the discussion topics (42)
Factual NotesClaims verified against the Diplo knowledge base (4)
Confirmedhigh

“Safin Matthew, Vice‑President of the 1M1B Foundation, hosted the session.”

The knowledge base lists Safin Matthew as Vice-President at the 1 Million for 1 Billion Foundation and identifies him as the session host [S1].

Additional Contextmedium

“India is at a defining moment in its AI journey, requiring skills, innovation capacity and future‑ready talent.”

A knowledge-base speaker described India as being in a “very interesting place” – not lagging but not yet capable of building frontier models – and highlighted the need for contextual innovation and capacity building, which adds nuance to the “defining moment” framing [S122].

Confirmedhigh

“Nandakishor Mukkunnoth highlighted a bottleneck where a farmer with chest pain must wait 30‑40 minutes for a cardiology report because primary‑health‑centres lack in‑house specialists.”

The transcript of Nandakishor’s opening remarks mentions a farmer experiencing chest pain at a primary health centre and the lack of specialist support as a problem, confirming the described bottleneck [S3].

Additional Contextlow

“The programme’s emphasis on AI‑driven skilling aligns with broader global efforts on skills development and capacity building.”

The Global Digital Compact section on “Skills Development and Capacity Building” underscores the importance of AI-related upskilling, providing additional context for the programme’s objectives [S120].

External Sources (138)
S1
From India to the Global South_ Advancing Social Impact with AI — -Ayurveda GPT Member- Young innovator working on Ayurveda GPT solution
S2
From India to the Global South_ Advancing Social Impact with AI — So good evening. My name is Ashish Pratap Singh. I am the CEO of Prasima AI. My father runs an MSME business in Lucknow….
S3
https://dig.watch/event/india-ai-impact-summit-2026/from-india-to-the-global-south_-advancing-social-impact-with-ai — And I think with the current government’s focus on multiple domains like logistics, maybe marine, aeronautics, aviation,…
S4
https://dig.watch/event/india-ai-impact-summit-2026/from-india-to-the-global-south_-advancing-social-impact-with-ai — Good morning. My name is Nandakishor. Hello, everyone. In India, there are… There are around 30 ,000 primary health ce…
S5
From India to the Global South_ Advancing Social Impact with AI — The provided transcript does not contain a verbatim statement from Nandakishor Mukkunnoth, so a specific argument cannot…
S6
From India to the Global South_ Advancing Social Impact with AI — -Darren Farrant- Director United Nations Information Center India and Bhutan
S7
Engagement: Public Diplomacy in a Globalised World — Supervising Editors: Jolyon Welsh and Daniel Fearn Editorial Board Members: Jolyon Welsh Daniel Fearn Andy Mackay Fio…
S8
https://dig.watch/event/india-ai-impact-summit-2026/from-india-to-the-global-south_-advancing-social-impact-with-ai — And all the MSM is here. He’s someone you could reach out to for an interesting solution. Next, I would like to invite A…
S9
From India to the Global South_ Advancing Social Impact with AI — -Safin Matthew- Vice President at 1M1B (1 Million for 1 Billion Foundation), session host
S10
Reskilling for the Intelligent Age / Davos 2025 — – Jayant Chaudhary discussed India’s efforts, including the Apprenticeship Act and PM Internship Program. – Jayant Chau…
S11
From India to the Global South_ Advancing Social Impact with AI — -Jayant Chaudhary- Honourable Minister of State Independent Charge for Skill Development and Entrepreneurship and Minist…
S12
Driving Indias AI Future Growth Innovation and Impact — And for this, I’m delighted to welcome two very eminent leaders who are instrumental in shaping the journey, both from p…
S13
From India to the Global South_ Advancing Social Impact with AI — -Aman Jain- Senior Director and Head of Public Policy, India Meta
S14
Al and Global Challenges: Ethical Development and Responsible Deployment — Dr. Martin Benjamin:This thing was starting to emerge. And so they had their first meeting, had another meeting, a serie…
S15
AI Innovation in India — -Deepak Bagla- Role: Mission Director; Title: Atal Innovation Mission The celebration of the Atal Innovation Mission’s …
S16
From India to the Global South_ Advancing Social Impact with AI — -Deepak Bagla- Mission Director for Atal Innovation Mission
S17
From India to the Global South_ Advancing Social Impact with AI — -Manav Subodh- Founder and CEO of 1M1B, panel moderator
S18
From India to the Global South_ Advancing Social Impact with AI — AI is the new electricity. The question is who has the switch? And today that’s what we will be discussing. You know, if…
S19
https://dig.watch/event/india-ai-impact-summit-2026/from-india-to-the-global-south_-advancing-social-impact-with-ai — So are you guys ready to take it to the global level? Thank you so much. That was a fantastic initiative taking Ayurveda…
S20
From India to the Global South_ Advancing Social Impact with AI — -Bhutachandra Shekhar- CEO Anuvadini and CCO of AICT
S21
Inclusive AI Starts with People Not Just Algorithms — Education, upskilling, and future skills for youth
S22
AI for Social Good Using Technology to Create Real-World Impact — In healthcare, for example, this means empowering something like 1 .4 million frontline workers with multilingual AI ass…
S23
Top 7 AI agents transforming business in 2025 — AI agentsare no longera futuristic concept — they’re now embedded in the everyday operations of major companies across s…
S24
AI/Gen AI for the Global Goals — Shea Gopaul: So thank you, Sanda. And like Sandra, I’d like to thank the African Union, as well as Global Compact. i…
S25
Comprehensive Report: Preventing Jobless Growth in the Age of AI — And that’s been lagging much more. We can close that gap and boost the productivity, that will make a big difference. Le…
S26
A Digital Future for All (afternoon sessions) — AI is enabling economic progress and entrepreneurship, especially in emerging markets. It can boost productivity across …
S27
Keynote by Sangita Reddy Joint Managing Director Apollo Hospitals India AI Impact Summit — And share this further, enabling a safer patient care and also less burnout in our staff. I’ve been sharing lots of hosp…
S28
“Re” Generative AI: Using Artificial and Human Intelligence in tandem for innovation — Audience:I am dealing. I’m a professor of ethics. And I’m dealing with AI and ethics in some years. And I’m struggling a…
S29
IGF 2023 WS #313 Generative AI systems facing UNESCO AI Ethics Recommendation — Audience:I’m Tapani Tatvanen from Electronic Frontier Finland and it seems to me that we are already talking about the p…
S30
WS #205 Contextualising Fairness: AI Governance in Asia — 4. Community-based models: Chin mentioned the potential of community-based small models to serve specific needs. Milton…
S31
Open Forum #64 Local AI Policy Pathways for Sustainable Digital Economies — Anita Gurumurthy: Thank you, thank you, Valeria, and it’s an honor to be part of this panel. So I think the starting poi…
S32
How Small AI Solutions Are Creating Big Social Change — So in our paper, we are providing all these three CPs to follow to get the best boost in terms of performance. What I wo…
S33
Keynote_ 2030 – The Rise of an AI Storytelling Civilization _ India AI Impact Summit — Demographic energyprovides a young, digitally native population driving both creation and consumption.
S34
Open Forum #33 Building an International AI Cooperation Ecosystem — **Professor Dai Li Na** from the Shanghai Academy of Social Sciences presented a comprehensive case study of Shanghai’s …
S35
Scaling Multistakeholder Partnerships: Connectivity and Education — Emphasised as well is the imperative for increased community engagement in education reform. Student and family involvem…
S36
Youth-Driven Tech: Empowering Next-Gen Innovators | IGF 2023 WS #417 — Atanas Pahizire:As a facilitator of the Pan-African Youth Ambassadors on Internet Governance, youth empowerment and digi…
S37
Cooperation for a Green Digital Future | IGF 2023 — In conclusion, the analysis underscores the significance of involving young people as partners in decision-making proces…
S38
Engineering Accountable AI Agents in a Global Arms Race: A Panel Discussion Report — Rees-Jones takes an optimistic view that AI can provide personalized tutoring for reskilling in areas like coding, while…
S39
The Impact of Digitalisation and AI on Employment Quality – Challenges and Opportunities — Mr. Sher Verick:Great. Well, thank you very much. It’s a real pleasure to be with you here today. I think Janine updated…
S40
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Fireside Chat Moderator- Mariano-Florentino Cuellar — This comment shifted the conversation from whether AI creates jobs to how it redistributes economic opportunities. It di…
S41
Barriers to Inclusion: Strategies for People with disability | IGF 2023 — Additionally, the analysis underscores the importance of making education programs accessible and inclusive, tailoring a…
S42
Fireside Conversation: 01 — A significant discussion focused on language accessibility for inclusive AI deployment. Amodei explained that while AI m…
S43
Keynote ‘I’ to the Power of AI An 8-Year-Old on Aspiring India Impacting the World — 8 year old prodigy: Sharing is learning with the rest of the world. One, an AI that is independent. From large global A…
S44
Accessible e-learning experience for PWDs-Best Practices | IGF 2023 WS #350 — Department works with visually-impaired students to ensure content accessibility The aim of this policy is to promote g…
S45
Bridging the Digital Divide: Achieving Universal and Meaningful Connectivity (ITU) — The analysis argues for a multi-stakeholder approach in policy-making to effectively address these issues. It is suggest…
S46
Open Forum #26 High-level review of AI governance from Inter-governmental P — The speaker emphasizes the need for collaboration among different stakeholders to build an inclusive and trustworthy AI …
S47
Indias AI Leap Policy to Practice with AIP2 — The main areas of disagreement center around governance approaches (regulatory vs. flexible frameworks), investment prio…
S48
What policy levers can bridge the AI divide? — Tatenda Annastacia Mavetera: I really want to thank you. Thank you IITU for giving us this opportunity. And Zimbabwe to …
S49
Open Forum #33 Building an International AI Cooperation Ecosystem — – Qi Xiaoxia- Dai Wei- Ricardo Pelayo Development | Economic | Capacity development Innovation Ecosystems and Practica…
S50
Press Conference: Closing the AI Access Gap — An important aspect of the alliance’s work is the creation of relevant international frameworks and public-private partn…
S51
Multistakeholder Partnerships for Thriving AI Ecosystems — Artificial intelligence’s future depends on multi-stakeholder engagement including government, private sector, civil soc…
S52
AI for Good Technology That Empowers People — High level of consensus across technical, policy, and implementation perspectives. The alignment between academic resear…
S53
AI-Powered Chips and Skills Shaping Indias Next-Gen Workforce — The discussion reveals strong consensus on key strategic directions: comprehensive ecosystem development beyond chip man…
S54
AI innovations reshape food assistance in India — The UN World Food Programme’s (WFP) Artificial Intelligence Impact Summit in New Delhishowcased innovations transforming…
S55
GermanAsian AI Partnerships Driving Talent Innovation the Future — Good morning. Good morning, everybody. Thank you to GIZ for this very special and important session. So we have been hea…
S56
Future of work — AI technology has the potential to be misused by employers in a variety of ways. For example, some employers may use AI-…
S57
The Impact of Digitalisation and AI on Employment Quality – Challenges and Opportunities — Mr. Sher Verick:Great. Well, thank you very much. It’s a real pleasure to be with you here today. I think Janine updated…
S58
AI for Social Empowerment_ Driving Change and Inclusion — This discussion focused on the impact of artificial intelligence on labor markets and employment, featuring perspectives…
S59
Leaders’ Plenary | Global Vision for AI Impact and Governance Morning Session Part 1 — So here is a very interesting… piece of research we recently have done. It tells a fascinating story. What we see alre…
S60
Strengthening the Measurement of ICT for Sustainable Development: 20 Years of Progress and New Frontiers — Michael Frosch:Well, the work has started, I would say. I didn’t bring a presentation because I realized I will never ma…
S61
Rights and Permissions — Changes in the nature of work are in some ways more noticeable in advanced economies where technology is…
S62
Flexibility 2.0 / Davos 2025 — Erika Kraemer Mbula: Great, so thanks so much. It’s a pleasure to be in this panel and bring some experiences from our…
S63
From India to the Global South_ Advancing Social Impact with AI — Despite overwhelming optimism, several challenges emerged. Integration of different government department data systems r…
S64
WS #288 An AI Policy Research Roadmap for Evidence-Based AI Policy — Public sector organizations need to raise competence and work with research communities to understand when data sharing …
S65
AI Impact Summit 2026: Global Ministerial Discussions on Inclusive AI Development — Namaste. Honorable Minister Vaishnav, Your Excellency’s colleagues, let me begin by thanking our host, Prime Minister Mo…
S66
S67
Who Benefits from Augmentation? / DAVOS 2025 — Kumar argues that AI can lead to increased productivity and the creation of new job opportunities. He suggests that this…
S68
Comprehensive Discussion Report: AI’s Transformative Potential for Global Economic Growth — Economic | Future of work Huang argues that the massive AI infrastructure build-out is generating significant employmen…
S69
Harnessing Collective AI for India’s Social and Economic Development — Kushe Bahl believes that AI will fundamentally reshape jobs rather than just replacing them outright. He suggests this t…
S70
AI for Good Innovation Factory Grand Finale 2025 — – **Accessibility and Affordability Criteria**: Judges consistently emphasized the importance of solutions being deploya…
S71
Open Forum #64 Local AI Policy Pathways for Sustainable Digital Economies — The framework advocated for worker-centric AI development that complements rather than replaces human labour, addressing…
S72
Digital Health at the crossroads of human rights, AI governance, and e-trade (SouthCentre) — Technological innovation has led to a significant transformation in health systems, particularly through advancements in…
S73
Conversational AI in low income & resource settings | IGF 2023 — Additionally, the potential of AI and chatbots in low-resource settings is acknowledged. The analysis suggests that thes…
S74
Inclusive AI For A Better World, Through Cross-Cultural And Multi-Generational Dialogue — Factors such as restricted access to computing resources and data further impede policy efficacy. Nevertheless, the cont…
S75
IGF 2024 Global Youth Summit — Margaret Nyambura Ndung’u: Thank you, Madam Moderator. Good morning, good afternoon, and good evening to all of the di…
S76
Foster AI accessibility for building inclusive knowledge Societies: a multi-stakeholder reflection on WSIS+20 review — Fabio Senne:Thank you, Alexandre. Thank you, Mr. Chair. And thank you, Shanhong and IFAP, for the invitation. Yes, I wou…
S77
How can Artificial Intelligence (AI) improve digital accessibility for persons with disabilities? — Examples include children with disabilities being provided with non-inclusive educational materials, political participa…
S78
Youth-Driven Tech: Empowering Next-Gen Innovators | IGF 2023 WS #417 — Atanas Pahizire:As a facilitator of the Pan-African Youth Ambassadors on Internet Governance, youth empowerment and digi…
S79
From India to the Global South_ Advancing Social Impact with AI — This comprehensive discussion centered on a special session titled “AI for Skilling, AI for Impact” during a 5-day AI su…
S80
We are the AI Generation — Robotics for Good Youth Challenge for young people from underserved communities to build solutions for real-world proble…
S81
AI for Good – food and agriculture — Both speakers strongly support the Robotics for Good Youth Challenge 2025-2026 as a strategic initiative to empower youn…
S82
Engineering Accountable AI Agents in a Global Arms Race: A Panel Discussion Report — Rees-Jones takes an optimistic view that AI can provide personalized tutoring for reskilling in areas like coding, while…
S83
Comprehensive Report: Preventing Jobless Growth in the Age of AI — And I think a lot of those reasons is that to get the full benefit of AI, it’s not about an AI applied to a task, but it…
S84
The Intelligent Coworker: AI’s Evolution in the Workplace — Honan raises concerns that AI taking over entry-level tasks and ‘grunt work’ could eliminate the traditional learning op…
S85
Comprehensive Discussion Report: AI’s Transformative Potential for Global Economic Growth — Fink acknowledged that while some jobs may be displaced, new opportunities are simultaneously created. Both speakers agr…
S86
Keynote ‘I’ to the Power of AI An 8-Year-Old on Aspiring India Impacting the World — 8 year old prodigy: Sharing is learning with the rest of the world. One, an AI that is independent. From large global A…
S87
Seeing, moving, living: AI’s promise for accessible technology — Compare this toEnvision Glasses, which uses a similar concept but targets professional and institutional markets. TheHom…
S88
Fireside Conversation: 01 — A significant discussion focused on language accessibility for inclusive AI deployment. Amodei explained that while AI m…
S89
AI for Good Impact Awards — – **Accessibility and inclusion**: Solutions focused on serving underserved populations including rural communities, ref…
S90
IGF 2024 Global Youth Summit — Margaret Nyambura Ndung’u: Thank you, Madam Moderator. Good morning, good afternoon, and good evening to all of the di…
S91
Open Forum #26 High-level review of AI governance from Inter-governmental P — Audrey Plonk: Thanks, Riti. I just want to say that governance is a lot more than regulation. Regulation is really imp…
S92
Leaders TalkX: Partnership pivot: rethinking cooperation in the digital era — Infrastructure | Development Jendela, for example, exemplifies this ecosystem-based cooperation. Because obviously, whe…
S93
Open Forum #33 Building an International AI Cooperation Ecosystem — Practical implementation requires comprehensive ecosystems combining government guidance, industry-academia collaboratio…
S94
How to ensure cultural and linguistic diversity in the digital and AI worlds? — Xianhong Hu:Thank you very much Mr. Ambassador. Good morning everyone. First of all please allow me, I’d like to be able…
S95
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Vivek Raghavan Sarvam AI — And it’s a core technology that a country like India must understand. from the foundational level. Otherwise, we will be…
S96
Ateliers : rapports restitution et séance de clôture — Joseph Nkalwo Ngoula Merci. C’est toujours difficile de restituer la parole d’experts de haut vol. sans courir le risque…
S97
What policy levers can bridge the AI divide? — Tatenda Annastacia Mavetera: I really want to thank you. Thank you IITU for giving us this opportunity. And Zimbabwe to …
S98
Opening Remarks (50th IFDT) — The overall tone was formal yet warm and celebratory. Speakers expressed pride in the IFDT’s accomplishments and gratitu…
S99
Scaling Innovation Building a Robust AI Startup Ecosystem — The tone was consistently celebratory, appreciative, and inspirational throughout. It began formally with the awards cer…
S100
Building the Future STPI Global Partnerships & Startup Felicitation 2026 — The tone was consistently optimistic, collaborative, and forward-looking throughout the session. It maintained a formal …
S101
Opening Ceremony — The tone is consistently formal, diplomatic, and optimistic yet cautionary. Speakers maintain a celebratory atmosphere a…
S102
WSIS Prizes Champions’ Ceremony — The tone throughout is consistently formal, celebratory, and diplomatic. It maintains a ceremonial atmosphere appropriat…
S103
DC-CIV & DC-NN: From Internet Openness to AI Openness — The tone of the discussion was thoughtful and analytical, with participants offering different perspectives and occasion…
S104
Laying the foundations for AI governance — The tone was collaborative and constructive throughout, with panelists building on each other’s points rather than disag…
S105
Comprehensive Report: AI’s Impact on the Future of Work – Davos 2026 Panel Discussion — The tone was notably optimistic and solution-oriented rather than alarmist. While acknowledging legitimate concerns abou…
S106
Impact & the Role of AI How Artificial Intelligence Is Changing Everything — The discussion maintained a cautiously optimistic tone throughout, balancing enthusiasm for AI’s potential with realisti…
S107
Shaping the Future AI Strategies for Jobs and Economic Development — These key comments transformed what could have been a superficial discussion about AI benefits into a sophisticated anal…
S108
Bridging the Digital Divide: Inclusive ICT Policies for Sustainable Development — The discussion maintained a formal, academic tone throughout, characteristic of a research presentation or conference se…
S109
WS #236 Ensuring Human Rights and Inclusion: An Algorithmic Strategy — The tone of the discussion was largely serious and concerned, given the gravity of the issues being discussed. However, …
S110
WS #211 Disability & Data Protection for Digital Inclusion — The tone was largely collaborative and solution-oriented, with speakers building on each other’s points. There was a sen…
S111
Law, Tech, Humanity, and Trust — The discussion maintained a consistently professional, collaborative, and optimistic tone throughout. The speakers demon…
S112
Open Forum #68 WSIS+20 Review and SDGs: A Collaborative Global Dialogue — The discussion maintained a constructive and collaborative tone throughout, characterized by cautious optimism balanced …
S113
Capacity Building in Digital Health — The discussion maintained an optimistic and solution-oriented tone throughout, with panelists acknowledging significant …
S114
Lightning Talk #246 AI for Sustainable Development Public Private Sector Roles — The discussion maintained a consistently optimistic yet cautious tone throughout. Speakers were enthusiastic about AI’s …
S115
Multigenerational Collaboration: Rethinking Work, Learning and Inclusion in the Digital Age — The discussion maintained a professional yet urgent tone throughout, with speakers expressing both optimism about collab…
S116
WS #302 Upgrading Digital Governance at the Local Level — The discussion maintained a consistently professional and collaborative tone throughout. It began with formal introducti…
S117
Leaders TalkX: Future-ready: enhancing skills for a digital tomorrow — The discussion maintained a consistently positive, collaborative, and inspiring tone throughout. Panelists were enthusia…
S118
Safeguarding Children with Responsible AI — The discussion maintained a tone of “measured optimism” throughout. It began with urgency and concern (particularly in B…
S119
Comprehensive Report: China’s AI Plus Economy Initiative – A Strategic Discussion on Artificial Intelligence Development and Implementation — The tone was consistently optimistic and collaborative throughout the conversation. Participants demonstrated mutual res…
S120
Global Digital Compact: AI solutions for a digital economy inclusive and beneficial for all — ### Skills Development and Capacity Building Ciyong Zou: Thank you. Thank you very much, moderator. Distinguished repre…
S121
AI for Good Impact Initiative — Ebtesam Almazrouei:You heard him. Go build. I’m joking. Okay, we have one more announcement. This happened last night. T…
S122
AI Algorithms and the Future of Global Diplomacy — Shyam Krishnakumar provided specific insights into India’s positioning in the global AI landscape. He described India as…
S123
Panel Discussion AI & Cybersecurity _ India AI Impact Summit — This comment shifted the discussion from technical capacity to institutional capacity, emphasizing that the real challen…
S124
Keynote-Jeet Adani — Adani framed the central challenge facing India with key questions: “Will India import intelligence or architect it? Wil…
S125
Bridging the AI innovation gap — LJ Rich: to invite our opening keynote. It’s a pleasure to invite to the stage the director of the Telecommunications St…
S126
Opening address of the co-chairs of the AI Governance Dialogue — The opening remarks outlined planned activities for the day, including expert sessions where 220 experts and policymaker…
S127
Day 0 Event #251 Large Models and Small Player Leveraging AI in Small States and Startups — The discussion maintained an optimistic and collaborative tone throughout, with speakers emphasizing opportunities rathe…
S128
AI-Driven Enforcement_ Better Governance through Effective Compliance & Services — This symposium, organized by the Income Tax Department, focused on AI-driven enforcement for better governance through e…
S129
Open Internet Inclusive AI Unlocking Innovation for All — Anandan presented concrete evidence of India’s success with this approach, highlighting multiple companies achieving bre…
S130
India allocates $1.24 billion for AI infrastructure boost — India’s government has greenlit a ₹10,300 Crore ($1.24 billion) fundingprojectto enhance the country’s AI infrastructure…
S131
High Level Dialogue with the Secretary-General — Amani Joel Mafigi: Thank you so much for the question and for the opportunity to speak. First of all, we have mentioned …
S132
Keynote-Rishad Premji — Healthcare applications include earlier disease screening and strengthened rural care, while education benefits include …
S133
AI for Bharat’s Health_ Addressing a Billion Clinical Realities — But after three months, this is just going to be a side window on my browser which I never go back to because it was nev…
S134
Northumbria graduate uses AI to revolutionise cardiovascular diagnosis — Jack Parker, a Northumbria University alumnus and CEO/co-founder of AIATELLA, isleadinga pioneering effort to speed up c…
S135
AI tool improves accuracy in detecting heart disease — A team of researchers at Mount Sinai Hospital in New Yorkhas successfullycalibrated an AI tool to more accurately assess…
S136
AI in cardiology: 3D heart scan could cut waiting times — A newAI-powered heart testcould significantly improve early detection of cardiovascular disease, especially in high-risk…
S137
Host Country Open Stage — – **AI-driven healthcare resource optimization**: Deep Insight’s presentation focused on using AI and predictive modelin…
S138
Global Enterprises Show How to Scale Responsible AI — Accountability is definitely very, very, very important. I can’t stress more. But also if an AI system has a flaw, it is…
Speakers Analysis
Detailed breakdown of each speaker’s arguments and positions
S
Safin Matthew
1 argument95 words per minute847 words530 seconds
Argument 1
Large‑scale AI skilling initiative has already reached 15 k youth and aims for 100 k, showcasing rapid rollout (Safin Matthew)
EXPLANATION
Safin highlighted that the AI for Skilling initiative, launched only two months ago, has already trained about 15,000 young people. He also noted the broader commitment to empower 100,000 youth on generative AI and large language models across India.
EVIDENCE
He stated that the program was kicked off two months earlier and, within that short period, roughly 15,000 youth have been skilled, and the initiative aims to reach a total of 100,000 participants on generative AI and large language models [12-13].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The AI for Skilling session hosted by Safin Matthew reports training 15,000 youths and a target of 100,000, as noted in [S1]; broader upskilling initiatives are discussed in [S21].
MAJOR DISCUSSION POINT
Rapid scaling of AI skilling programs
AGREED WITH
Deepak Bagla, Nandakishor Mukkunnoth, Ashish Pratap Singh
A
Ashish Pratap Singh
2 arguments143 words per minute474 words198 seconds
Argument 1
Autonomous AI agent eliminates 35 % productivity loss for MSMEs, delivering 99.9 % compliance and fast ROI (Ashish Pratap Singh)
EXPLANATION
Ashish described Prasima AI’s autonomous agent that automates routine MSME tasks, cutting the typical 35 % productivity loss to almost zero. The solution saves over 15,000 minutes per month, achieves 99.9 % compliance, and promises a six‑to‑nine‑month payback period.
EVIDENCE
He explained that MSMEs lose about 35 % of productive time due to scattered data, and their AI agent reduces this loss to near zero, saving more than 15,000 minutes monthly with 99.9 % compliance accuracy and a six-to-nine-month ROI [161-168].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Ashish’s own remarks describing a 35 % productivity loss in MSMEs and the AI agent’s impact are captured in the transcript [S3]; additional context on AI agents transforming business appears in [S23].
MAJOR DISCUSSION POINT
AI‑driven efficiency for MSMEs
AGREED WITH
Deepak Bagla, Nandakishor Mukkunnoth, Safin Matthew
Argument 2
AI‑driven productivity gains for MSMEs boost economic efficiency and can offset job displacement concerns (Ashish Pratap Singh)
EXPLANATION
He argued that by dramatically improving MSME productivity, AI can enhance overall economic efficiency, thereby mitigating fears of job losses caused by automation. The high compliance and rapid ROI illustrate how AI can create value rather than merely replace labor.
EVIDENCE
The same data about reducing a 35 % productivity gap, saving 15,000 minutes per month and achieving 99.9 % compliance demonstrates how AI can increase efficiency and potentially offset displacement concerns [161-168].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The link between AI-driven productivity gains and mitigating jobless growth is highlighted in a report on preventing jobless growth [S25] and in a discussion of AI boosting economic progress [S26].
MAJOR DISCUSSION POINT
Economic impact of AI‑enabled productivity
AGREED WITH
Aman Jain, Jayant Chaudhary, Darren Farrant
N
Nandakishor Mukkunnoth
1 argument171 words per minute252 words87 seconds
Argument 1
Offline AI‑powered Cardio diagnostic tool deployed in 100+ PHCs, saving lives in rural India (Nandakishor Mukkunnoth)
EXPLANATION
Nandakishor presented an offline desktop application, AI for Cardio, that lets primary health centre practitioners upload ECG images and blood reports to obtain a diagnosis without internet connectivity. The tool, built on a fine‑tuned Llama 3.11 model, has been deployed in over 100 primary health centres and has already helped more than 1,000 patients.
EVIDENCE
He described the lack of in-house cardiologists at around 30,000 primary health centres, the 30-40 minute delay in getting specialist input, and how their offline AI system, powered by a Llama 3.11 model fine-tuned on 800 GPUs and published in the British Medical Journal, is now used in 100+ PHCs serving 1,000+ patients [23-25].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
His presentation of the offline AI-Cardio tool at the summit is documented in the session summary [S1]; further emphasis on rural health AI solutions is provided in [S27].
MAJOR DISCUSSION POINT
Rural health AI deployment
AGREED WITH
Deepak Bagla, Ashish Pratap Singh, Safin Matthew
A
Ayurveda GPT Member
2 arguments200 words per minute275 words82 seconds
Argument 1
Generative‑AI model that answers Ayurvedic manuscript queries with source citations, enabling global access to traditional knowledge (Ayurveda GPT Member)
EXPLANATION
The member explained that their AI model can be queried directly about Ayurvedic manuscripts, returning answers together with the exact source citation from the original text. A live demo showed a real‑time conversation with a virtual Rishi, illustrating the model’s capability to surface authoritative information instantly.
EVIDENCE
He demonstrated that users can simply query the model and receive answers with dedicated source references, highlighted the lack of existing models rooted in manuscripts, and showed a live demo of a conversation with a Rishi based on the manuscript [178-183].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The Ayurveda GPT solution presented at the summit is described in the session overview [S1].
MAJOR DISCUSSION POINT
AI‑enabled access to traditional knowledge
Argument 2
Language‑agnostic AI model for Ayurvedic texts demonstrates how localized AI can serve niche knowledge domains (Ayurveda GPT Member)
EXPLANATION
The speaker reiterated that the model operates across languages, allowing users to retrieve information from Ayurvedic texts regardless of linguistic background. This showcases how AI can be tailored to specific cultural and knowledge domains while remaining language‑neutral.
EVIDENCE
He emphasized that the model can answer queries directly from the manuscript with source citations and that it is designed to work without being tied to a single language, as shown in the live demo [178-183].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The same session notes the language-agnostic nature of the model in [S1].
MAJOR DISCUSSION POINT
Multilingual, domain‑specific AI
AGREED WITH
Aman Jain, Jayant Chaudhary, Darren Farrant, Bhutachandra Shekhar
D
Deepak Bagla
2 arguments131 words per minute979 words446 seconds
Argument 1
Nationwide school‑level innovation labs and record‑breaking hackathon demonstrate grassroots AI talent and need for a unified innovation dashboard (Deepak Bagla)
EXPLANATION
Deepak outlined the Atal Innovation Mission’s extensive network of 10,000 school‑level labs (roughly half in villages) and recounted a massive hackathon that attracted over 2.5 million prototypes, earning a Guinness World Record. He argued that a single, unified dashboard linking labs, mentors, policymakers and industry is essential to coordinate this ecosystem.
EVIDENCE
He detailed that there are 5,500 village and 4,500 city schools with labs, described the 10-year-old Atal Innovation Mission’s 1.1 crore young entrepreneurs, cited the hackathon’s 2.5 million prototypes and Guinness record, and called for a dashboard that brings together schools, incubators, mentors and policymakers [284-304].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Statistics on 10,000 school labs, the record-breaking hackathon and the call for a unified dashboard are detailed in Deepak Bagla’s interview [S15] and reiterated in the summit report [S1].
MAJOR DISCUSSION POINT
Coordinated grassroots AI innovation infrastructure
AGREED WITH
Nandakishor Mukkunnoth, Ashish Pratap Singh, Safin Matthew
Argument 2
Atal Innovation Mission’s school labs, hackathons, and proposed unified dashboard illustrate a coordinated public‑private‑academic ecosystem (Deepak Bagla)
EXPLANATION
He emphasized that the mission’s labs, large‑scale hackathons, and the envisioned dashboard exemplify how government, industry and academia can jointly nurture AI talent. This integrated approach is presented as a model for scaling AI education and innovation across the country.
EVIDENCE
He referenced the same network of 10,000 labs, the record-setting hackathon, and the proposal for a dashboard that would enable real-time collaboration among schools, mentors, industry partners and policymakers [284-304].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The coordinated public-private-academic ecosystem described by Deepak is outlined in [S15].
MAJOR DISCUSSION POINT
Public‑private‑academic collaboration for AI
AGREED WITH
Manav Subodh, Jayant Chaudhary, Aman Jain, Pankaj Kumar Pandey
M
Manav Subodh
2 arguments162 words per minute1052 words389 seconds
Argument 1
AI likened to “new electricity”; the “switch” must be in the hands of the young to turn creators into consumers (Manav Subodh)
EXPLANATION
Manav framed AI as the new electricity, asserting that the crucial ‘switch’ lies with the youth, who will become both creators and consumers of AI technologies. He argued that empowering this generation is essential for India to become a global AI creator rather than just a consumer.
EVIDENCE
He stated that AI is the new electricity, posed the question of who holds the switch, and highlighted that India’s young population colliding with AI will produce both creators and consumers, presenting a massive opportunity for the country [196-204].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The analogy of AI as the new electricity and the question of who holds the switch are quoted in the summit transcript [S1]; demographic energy insights are added in [S33].
MAJOR DISCUSSION POINT
Youth empowerment as the driver of AI adoption
Argument 2
Moderator emphasizes the necessity of public‑private partnerships to scale AI‑driven education and skill outcomes (Manav Subodh)
EXPLANATION
Manav underscored that scaling AI‑based skilling requires strong collaboration between government, industry, and academia. He positioned public‑private partnerships as the key mechanism to translate AI innovations into widespread educational impact.
EVIDENCE
He opened the leadership dialogue by noting the limited time, the need to make the discussion interesting, and repeatedly stressed that public-private partnerships are essential for scaling AI-driven education and skill outcomes [194-204].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The emphasis on public-private partnerships aligns with the Ministry’s guidance on partnership models in [S12].
MAJOR DISCUSSION POINT
Public‑private partnership as scaling lever
AGREED WITH
Deepak Bagla, Jayant Chaudhary, Aman Jain, Pankaj Kumar Pandey
A
Aman Jain
3 arguments173 words per minute995 words344 seconds
Argument 1
AI does not eliminate jobs but creates new roles; early adopters gain advantage and the economic “pie” expands (Aman Jain)
EXPLANATION
Aman referenced the Prime Minister’s view that AI will not take away jobs but will generate new opportunities. He argued that early adopters—first, second, or third movers—will benefit from an expanding economic ‘pie’, rather than losing employment.
EVIDENCE
He cited the Prime Minister’s remarks that AI does not take jobs but creates opportunities, and asked the minister for thoughts on whether AI will lead to job loss, framing the discussion around the expanding economic pie [38-40].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The view that AI expands the economic pie and creates jobs is echoed in discussions of AI-driven growth [S26] and in analyses of preventing jobless growth [S25].
MAJOR DISCUSSION POINT
AI as a job‑creating force
AGREED WITH
Jayant Chaudhary, Darren Farrant, Ashish Pratap Singh
Argument 2
AI‑based Skill India Assistant and multilingual AI coach aim to reach people with disabilities and remote communities (Aman Jain)
EXPLANATION
Aman described Meta’s collaboration with the Indian government on the Skill India Assistant and an AI coach that supports multiple Indian languages, targeting people with disabilities and those in far‑flung regions. The tools are intended to make AI skilling inclusive and widely accessible.
EVIDENCE
He mentioned Meta’s work on the AI coach focusing on multilingual, omnilingual capabilities, and referenced the Skill India Assistant as a means to bring AI benefits to under-represented groups, including people with disabilities and remote communities [68-70].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Inclusive AI tools for people with disabilities and remote areas are highlighted in the inclusive AI briefing [S21] and in multilingual AI assistance examples [S22].
MAJOR DISCUSSION POINT
Inclusive AI skilling tools
AGREED WITH
Jayant Chaudhary, Darren Farrant, Ayurveda GPT Member, Bhutachandra Shekhar
Argument 3
Meta’s public‑policy engagement and AI‑coach development exemplify how industry can support national skilling agendas (Aman Jain)
EXPLANATION
Aman highlighted Meta’s role in public policy and the development of an AI coach as concrete examples of industry contributing to India’s AI skilling strategy. He positioned these initiatives as a model for private‑sector partnership with government objectives.
EVIDENCE
He reiterated Meta’s involvement in the AI coach project and the Skill India Assistant, emphasizing industry’s capacity to aid national skilling programmes [68-70].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Meta’s role in public-policy and AI coach development is mentioned in the inclusive AI overview [S21] and multilingual AI initiatives [S22].
MAJOR DISCUSSION POINT
Industry‑government collaboration on AI skilling
AGREED WITH
Manav Subodh, Deepak Bagla, Jayant Chaudhary, Pankaj Kumar Pandey
J
Jayant Chaudhary
3 arguments173 words per minute2065 words712 seconds
Argument 1
AI will generate fresh employment opportunities, especially through contextualisation for India’s linguistic diversity; however, productivity gains must translate into humane work‑life balance (Jayant Chaudhary)
EXPLANATION
Jayant argued that AI will create new jobs, particularly in contextualising AI for India’s many languages and dialects. He cautioned that while AI boosts productivity, society must ensure that the gains lead to a more humane work‑life balance rather than harder work.
EVIDENCE
He discussed the need for contextualisation of AI models for India’s linguistic diversity, cited examples of new job categories such as training agents for process automation, and raised the question of whether AI-driven productivity will improve quality of life [55-58].
MAJOR DISCUSSION POINT
AI‑driven job creation and humane work conditions
AGREED WITH
Aman Jain, Darren Farrant, Ayurveda GPT Member, Bhutachandra Shekhar
Argument 2
Early identification and AI‑enabled teacher tools can support children with special needs, preventing drop‑outs (Jayant Chaudhary)
EXPLANATION
Jayant emphasized the importance of early screening for students with special needs and the use of AI‑powered teacher tools to provide personalized support. He argued that such interventions can keep vulnerable children in school and improve overall educational outcomes.
EVIDENCE
He described the need for teacher sensitisation, screening tools, and AI-driven personalised learning journeys that can identify and support special-needs students, noting that currently less than 1 % are officially categorized despite an estimated 6-8 % prevalence, leading to drop-outs [71-78].
MAJOR DISCUSSION POINT
AI for inclusive education
AGREED WITH
Aman Jain, Bhutachandra Shekhar, Deepak Bagla, Manav Subodh
Argument 3
Industry partnership is crucial for redesigning ITI curricula, creating clusters, and embedding corporate expertise in skill programmes (Jayant Chaudhary)
EXPLANATION
Jayant called for industry to collaborate with ITIs and other vocational institutions to redesign curricula, form clusters (PM Setu), and involve corporate partners in governance and training. He argued that such partnerships will modernise skill development and align it with market needs.
EVIDENCE
He outlined the PM Setu scheme allocating 60,000 crore to ITIs, the creation of clusters of five ITAs each linked to local MSME economies, and the need for industry partners to design courses, provide trainers and bring real-world expertise to these institutions [100-124].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The need for industry involvement in ITI curriculum reform is supported by the public-private partnership framework in [S12] and by multistakeholder partnership guidance in [S35].
MAJOR DISCUSSION POINT
Industry‑driven vocational curriculum reform
AGREED WITH
Manav Subodh, Deepak Bagla, Aman Jain, Pankaj Kumar Pandey
D
Darren Farrant
3 arguments175 words per minute312 words106 seconds
Argument 1
Global South faces AI‑driven job displacement; reskilling programmes are essential to mitigate the AI divide (Darren Farrant)
EXPLANATION
Darren warned that AI could lead to large‑scale job losses in the Global South, emphasizing the need for comprehensive reskilling initiatives to prevent an AI‑driven divide. He positioned India’s experience as a model for other developing nations.
EVIDENCE
He noted that the summit is the first of its kind in the Global South, highlighted concerns about AI-driven job loss, and stressed the importance of reskilling programmes to address the AI divide [360-368].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Concerns about AI-driven job displacement in the Global South and the importance of reskilling are discussed in the AI policy forum [S31] and in the digital future briefing [S26].
MAJOR DISCUSSION POINT
Reskilling to bridge AI‑induced employment gaps
AGREED WITH
Aman Jain, Jayant Chaudhary, Ashish Pratap Singh
Argument 2
India’s linguistic diversity makes it a testbed for multilingual AI solutions that can be exported globally (Darren Farrant)
EXPLANATION
Darren pointed out that India’s vast language landscape provides a natural laboratory for developing multilingual AI, which can then be adapted for other multilingual contexts worldwide. He suggested that successes in India can be replicated globally.
EVIDENCE
He explained that language challenges in India are already being tackled, and the solutions developed here can be transferred to other countries, making India a leader in multilingual AI innovation [363-365].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
India’s linguistic diversity as a testbed for multilingual AI is described in the multilingual AI assistance case study [S22] and reinforced in the AI policy discussion [S31].
MAJOR DISCUSSION POINT
India as a multilingual AI testbed
AGREED WITH
Aman Jain, Jayant Chaudhary, Ayurveda GPT Member, Bhutachandra Shekhar
Argument 3
UN stresses the need for South‑South cooperation, leveraging India’s AI experience to reduce global AI inequality (Darren Farrant)
EXPLANATION
Darren highlighted the United Nations’ focus on South‑South cooperation, arguing that India’s AI initiatives can help reduce the global AI divide by sharing knowledge and solutions with other developing nations.
EVIDENCE
He referenced the UN’s concern about the AI divide, the importance of India’s role in the Global South, and the need for shared AI experiences to ensure equitable benefits worldwide [360-367].
MAJOR DISCUSSION POINT
South‑South AI collaboration
P
Pankaj Kumar Pandey
2 arguments168 words per minute582 words206 seconds
Argument 1
Integrated government data (weather, energy, agriculture) can improve service delivery and stimulate sectoral growth (Pankaj Kumar Pandey)
EXPLANATION
Pankaj illustrated how linking disparate government data sets—such as weather forecasts, energy supply, and agricultural patterns—can enable more efficient public services, like coordinated irrigation power distribution, thereby driving sectoral growth.
EVIDENCE
He gave a concrete example where weather data must be combined with cropping patterns and energy data to manage irrigation pump power, emphasizing the need for inter-departmental data sharing [221-222].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Examples of integrating weather, energy and agriculture data for service delivery are given in the multilingual AI use-case [S22]; the need for cross-sector data use is emphasized in the AI policy forum [S31].
MAJOR DISCUSSION POINT
Cross‑sector data integration for service improvement
AGREED WITH
Deepak Bagla, Aman Jain
Argument 2
Government departments must shift mindset to share and co‑use data, fostering cross‑sector collaboration (Pankaj Kumar Pandey)
EXPLANATION
Pankaj called for a cultural change within government agencies, urging officials to view data as a shared resource rather than a siloed asset. He argued that collaborative data use is essential for effective AI deployment across ministries.
EVIDENCE
He stressed that departments need to move from protecting data to collaborating, citing the need for data sets to “talk to each other” and describing workshops aimed at changing this mindset [221-222].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The call for a data-sharing culture within government is a central theme of the AI policy discussion [S31].
MAJOR DISCUSSION POINT
Data‑sharing culture in government
AGREED WITH
Manav Subodh, Deepak Bagla, Jayant Chaudhary, Aman Jain
B
Bhutachandra Shekhar
1 argument187 words per minute1515 words485 seconds
Argument 1
Translating skill‑related books into 22 Indian languages and delivering them via audio/visual formats bridges language barriers for informal workers (Bhutachandra Shekhar)
EXPLANATION
Bhutachandra explained that the Ministry of Education has translated vocational skill books into 22 regional languages and is providing them through audio, video, and AR/VR formats, making skill content accessible to workers with limited literacy. He highlighted the mismatch between traditional printed books and the needs of low‑skill workers.
EVIDENCE
He described the creation of an advanced visual arts library that can describe images in Indian languages, the translation of skill-related books into 22 languages, and the development of audio-based books for workers who cannot read traditional manuals [250-256].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The translation of skill books into 22 languages and delivery via audio/visual media aligns with inclusive AI initiatives described in [S21] and multilingual AI efforts in [S22].
MAJOR DISCUSSION POINT
Multilingual skill content for informal sector
AGREED WITH
Aman Jain, Jayant Chaudhary, Darren Farrant, Ayurveda GPT Member
Agreements
Agreement Points
Inclusive AI skilling and tools for under‑represented groups such as people with disabilities, remote communities and special‑needs children
Speakers: Aman Jain, Jayant Chaudhary, Bhutachandra Shekhar, Deepak Bagla, Manav Subodh
AI‑based Skill India Assistant and multilingual AI coach aim to reach people with disabilities and remote communities (Aman Jain) Meta’s public‑policy engagement and AI‑coach development exemplify how industry can support national skilling agendas (Aman Jain) Early identification and AI‑enabled teacher tools can support children with special needs, preventing drop‑outs (Jayant Chaudhary) Translating skill‑related books into 22 Indian languages and delivering them via audio/visual formats bridges language barriers for informal workers (Bhutachandra Shekhar) Nationwide school‑level innovation labs and record‑breaking hackathon demonstrate grassroots AI talent and need for a unified innovation dashboard (Deepak Bagla) Moderator emphasizes the necessity of public‑private partnerships to scale AI‑driven education and skill outcomes (Manav Subodh)
The speakers all stress the need for AI-enabled skilling solutions that reach disadvantaged groups – from multilingual AI coaches for people with disabilities and remote areas (Aman Jain) to AI-powered teacher tools for special-needs children (Jayant Chaudhary), language-translated skill content for low-literacy workers (Bhutachandra Shekhar), and coordinated innovation labs that can be scaled through public-private partnership (Deepak Bagla, Manav Subodh) [68-70][71-78][250-256][284-304][194-204].
POLICY CONTEXT (KNOWLEDGE BASE)
The emphasis on accessibility aligns with AI-for-Good initiatives that require offline, affordable solutions for underserved communities [S70] and with research on AI improving digital accessibility for persons with disabilities [S77]; it also reflects the broader multi-stakeholder consensus on inclusive AI design [S52].
AI will generate new employment opportunities and expand the economic ‘pie’ rather than simply eliminating jobs
Speakers: Aman Jain, Jayant Chaudhary, Darren Farrant, Ashish Pratap Singh
AI does not eliminate jobs but creates new roles; early adopters gain advantage and the economic “pie” expands (Aman Jain) AI will generate fresh employment opportunities, especially through contextualisation for India’s linguistic diversity; however, productivity gains must translate into humane work‑life balance (Jayant Chaudhary) Global South faces AI‑driven job displacement; reskilling programmes are essential to mitigate the AI divide (Darren Farrant) AI‑driven productivity gains for MSMEs boost economic efficiency and can offset job displacement concerns (Ashish Pratap Singh)
All four speakers agree that AI is more likely to create jobs and new economic opportunities than to cause net job loss, emphasizing the importance of early adoption, contextualisation for local languages, and reskilling programmes to capture the expanding economic pie [38-40][55-58][360-368][161-168].
POLICY CONTEXT (KNOWLEDGE BASE)
This view is supported by analyses that AI can augment labour, create new jobs and raise wages without causing inflation [S67], and by reports that AI infrastructure build-outs generate trade-skill employment accessible to a wide workforce [S68]; it echoes the broader consensus that AI reshapes rather than replaces jobs [S69].
Multilingual AI as a strategic focus for India, leveraging linguistic diversity for both domestic inclusion and global exportability
Speakers: Aman Jain, Jayant Chaudhary, Darren Farrant, Ayurveda GPT Member, Bhutachandra Shekhar
AI‑based Skill India Assistant and multilingual AI coach aim to reach people with disabilities and remote communities (Aman Jain) AI will generate fresh employment opportunities, especially through contextualisation for India’s linguistic diversity; however, productivity gains must translate into humane work‑life balance (Jayant Chaudhary) India’s linguistic diversity makes it a testbed for multilingual AI solutions that can be exported globally (Darren Farrant) Language‑agnostic AI model for Ayurvedic texts demonstrates how localized AI can serve niche knowledge domains (Ayurveda GPT Member) Translating skill‑related books into 22 Indian languages and delivering them via audio/visual formats bridges language barriers for informal workers (Bhutachandra Shekhar)
The participants converge on the view that India’s rich linguistic landscape is both a challenge and an opportunity: AI tools must be multilingual to serve diverse users (Aman Jain, Jayant Chaudhary, Bhutachandra), and this capability positions India as a global testbed whose solutions can be exported (Darren Farrant, Ayurveda GPT Member) [98-99][55-58][363-365][178-183][250-256].
Need for integrated data sharing across government departments and a unified platform to enable AI‑driven services
Speakers: Pankaj Kumar Pandey, Deepak Bagla, Aman Jain
Integrated government data (weather, energy, agriculture) can improve service delivery and stimulate sectoral growth (Pankaj Kumar Pandey) Government departments must shift mindset to share and co‑use data, fostering cross‑sector collaboration (Pankaj Kumar Pandey) Nationwide school‑level innovation labs and record‑breaking hackathon demonstrate grassroots AI talent and need for a unified innovation dashboard (Deepak Bagla) Meta’s public‑policy engagement and AI‑coach development exemplify how industry can support national skilling agendas (Aman Jain)
Pankaj stresses cultural change toward data sharing among ministries, while Deepak proposes a unified dashboard to connect labs, mentors and policymakers, and Aman highlights industry-government collaboration to support such data-driven initiatives, all pointing to the necessity of integrated data ecosystems [221-222][284-304][60-70].
POLICY CONTEXT (KNOWLEDGE BASE)
Calls for cross-departmental data sharing and unified digital platforms are echoed in the AI Policy Research Roadmap, which stresses governance frameworks for appropriate data sharing while managing privacy risks [S64], and in Digital Public Infrastructure discussions that highlight the necessity of shared platforms for inclusive AI services [S66]; similar integration challenges have been documented in India-to-Global-South contexts [S63].
Public‑private‑academic partnerships are essential to scale AI education, skilling and innovation
Speakers: Manav Subodh, Deepak Bagla, Jayant Chaudhary, Aman Jain, Pankaj Kumar Pandey
Moderator emphasizes the necessity of public‑private partnerships to scale AI‑driven education and skill outcomes (Manav Subodh) Atal Innovation Mission’s school labs, hackathons, and proposed unified dashboard illustrate a coordinated public‑private‑academic ecosystem (Deepak Bagla) Industry partnership is crucial for redesigning ITI curricula, creating clusters, and embedding corporate expertise in skill programmes (Jayant Chaudhary) Meta’s public‑policy engagement and AI‑coach development exemplify how industry can support national skilling agendas (Aman Jain) Government departments must shift mindset to share and co‑use data, fostering cross‑sector collaboration (Pankaj Kumar Pandey)
Multiple speakers underline that scaling AI-based skilling and innovation requires coordinated action among government, industry and academia, through partnerships, shared platforms and curriculum redesigns [194-204][284-304][100-124][68-70][221-222].
POLICY CONTEXT (KNOWLEDGE BASE)
Multiple forums underline that multi-stakeholder partnerships are not optional but critical for accelerating AI development and scaling skilling programmes, as argued in Open Forum #33 [S49], the Multistakeholder Partnerships report [S51], the AI-Powered Chips and Skills discussion for India [S53], and the German-Asian AI Partnerships session [S55].
Grassroots innovation labs and hackathons are vital pipelines for AI talent and solutions
Speakers: Deepak Bagla, Nandakishor Mukkunnoth, Ashish Pratap Singh, Safin Matthew
Nationwide school‑level innovation labs and record‑breaking hackathon demonstrate grassroots AI talent and need for a unified innovation dashboard (Deepak Bagla) Offline AI‑powered Cardio diagnostic tool deployed in 100+ PHCs, saving lives in rural India (Nandakishor Mukkunnoth) Autonomous AI agent eliminates 35 % productivity loss for MSMEs, delivering 99.9 % compliance and fast ROI (Ashish Pratap Singh) Large‑scale AI skilling initiative has already reached 15 k youth and aims for 100 k, showcasing rapid rollout (Safin Matthew)
The speakers highlight that large-scale skilling programs, health-focused AI tools, productivity-boosting AI agents for MSMEs, and massive school-level hackathons together illustrate a vibrant grassroots ecosystem that fuels AI talent and real-world solutions [12-13][23-25][161-168][284-304].
Similar Viewpoints
Both assert that AI will create new employment opportunities rather than merely displacing workers, emphasizing the need for new roles and humane outcomes [38-40][55-58].
Speakers: Aman Jain, Jayant Chaudhary
AI does not eliminate jobs but creates new roles; early adopters gain advantage and the economic “pie” expands (Aman Jain) AI will generate fresh employment opportunities, especially through contextualisation for India’s linguistic diversity; however, productivity gains must translate into humane work‑life balance (Jayant Chaudhary)
Both recognize AI’s impact on employment and stress the importance of reskilling to capture new opportunities and avoid displacement [38-40][360-368].
Speakers: Aman Jain, Darren Farrant
AI does not eliminate jobs but creates new roles; early adopters gain advantage and the economic “pie” expands (Aman Jain) Global South faces AI‑driven job displacement; reskilling programmes are essential to mitigate the AI divide (Darren Farrant)
Both promote AI‑driven inclusive tools for vulnerable populations, including people with disabilities, remote residents and special‑needs students [68-70][71-78].
Speakers: Aman Jain, Jayant Chaudhary
AI‑based Skill India Assistant and multilingual AI coach aim to reach people with disabilities and remote communities (Aman Jain) Early identification and AI‑enabled teacher tools can support children with special needs, preventing drop‑outs (Jayant Chaudhary)
Both highlight multilingual AI as a key strategy for inclusion and global relevance [98-99][363-365].
Speakers: Aman Jain, Darren Farrant
AI‑based Skill India Assistant and multilingual AI coach aim to reach people with disabilities and remote communities (Aman Jain) India’s linguistic diversity makes it a testbed for multilingual AI solutions that can be exported globally (Darren Farrant)
Both call for coordinated data platforms and collaborative mindsets across sectors to enable AI‑driven services [284-304][221-222].
Speakers: Deepak Bagla, Pankaj Kumar Pandey
Nationwide school‑level innovation labs and record‑breaking hackathon demonstrate grassroots AI talent and need for a unified innovation dashboard (Deepak Bagla) Government departments must shift mindset to share and co‑use data, fostering cross‑sector collaboration (Pankaj Kumar Pandey)
Both see AI as a productivity catalyst that can create value and mitigate job loss concerns [161-168][38-40].
Speakers: Ashish Pratap Singh, Aman Jain
AI‑driven productivity gains for MSMEs boost economic efficiency and can offset job displacement concerns (Ashish Pratap Singh) AI does not eliminate jobs but creates new roles; early adopters gain advantage and the economic “pie” expands (Aman Jain)
Unexpected Consensus
Both health‑focused AI innovators and skill‑content providers advocate offline or low‑connectivity solutions for underserved users
Speakers: Nandakishor Mukkunnoth, Bhutachandra Shekhar
Offline AI‑powered Cardio diagnostic tool deployed in 100+ PHCs, saving lives in rural India (Nandakishor Mukkunnoth) Translating skill‑related books into 22 Indian languages and delivering them via audio/visual formats bridges language barriers for informal workers (Bhutachandra Shekhar)
Although operating in different domains (rural health diagnostics vs. vocational skill content), both presenters stress solutions that function without reliable internet-offline AI diagnosis and audio-based skill books-highlighting a shared focus on accessibility in low-connectivity contexts [23-25][250-256].
POLICY CONTEXT (KNOWLEDGE BASE)
The need for offline or low-connectivity solutions is reinforced by AI for Good Innovation Factory criteria that prioritize affordability and offline functionality for low-resource settings [S70], by local AI policy pathways that stress offline-first designs for populations lacking reliable internet [S71], and by evidence of conversational AI deployments in low-income contexts that address connectivity constraints [S73].
Overall Assessment

The discussion shows strong convergence around five core themes: (1) inclusive AI skilling for disadvantaged groups, (2) AI as a job‑creating force rather than a net destroyer, (3) the strategic importance of multilingual AI, (4) the necessity of integrated data sharing and unified platforms, and (5) the critical role of public‑private‑academic partnerships and grassroots innovation labs in scaling AI education and solutions.

High consensus – most speakers, spanning government, industry, academia and innovators, echoed similar positions on these themes, indicating a shared understanding that coordinated, inclusive, and data‑driven approaches are essential for India’s AI future. This broad alignment suggests that policy initiatives and industry programmes can move forward with confidence, leveraging the agreed‑upon priorities to design scalable, equitable AI skilling and innovation ecosystems.

Differences
Different Viewpoints
Impact of AI on employment
Speakers: Aman Jain, Jayant Chaudhary, Darren Farrant
AI does not eliminate jobs but creates new roles; early adopters gain advantage and the economic ‘pie’ expands AI will generate fresh employment opportunities, especially through contextualisation for India’s linguistic diversity; however, productivity gains must translate into humane work‑life balance Global South faces AI‑driven job displacement; reskilling programmes are essential to mitigate the AI divide
Aman Jain cites the Prime Minister’s view that AI will not take away jobs but will create new opportunities, arguing that early adopters will benefit from an expanding economic ‘pie’ [38-40]. Jayant Chaudhary agrees AI will generate new jobs, especially through contextualisation for India’s linguistic diversity, but warns that productivity gains must translate into a more humane work-life balance rather than harder work [55-58]. Darren Farrant counters that AI is likely to cause large-scale job displacement in the Global South and stresses the need for reskilling programmes to avoid an AI-driven divide [360-368].
POLICY CONTEXT (KNOWLEDGE BASE)
The debate mirrors extensive research on AI’s mixed effects on work: ILO studies highlight both opportunities and challenges for employment quality in the digital age [S57]; concerns about employer misuse of AI affecting worker privacy and rights are documented [S56]; while other analyses argue AI can generate new job categories, improve wages and support upward mobility [S67][S68][S69].
Preferred medium for delivering skill content to informal workers
Speakers: Bhutachandra Shekhar, Aman Jain, Jayant Chaudhary
Translating skill‑related books into 22 Indian languages and delivering them via audio/visual formats bridges language barriers for informal workers AI‑based Skill India Assistant and multilingual AI coach aim to reach people with disabilities and remote communities Early identification and AI‑enabled teacher tools can support children with special needs, preventing drop‑outs
Bhutachandra Shekhar argues that translating skill-related books into 22 Indian languages and providing them as audio/visual resources is essential for workers who cannot use traditional printed manuals [250-256]. Aman Jain promotes platform-based solutions such as the Skill India Assistant and a multilingual AI coach to reach people with disabilities and remote communities [68-70]. Jayant Chaudhary emphasizes AI-enabled teacher tools and early screening to support special-needs children [71-78]. The disagreement centers on whether skill delivery should rely on audio/visual books or on AI-driven digital platforms.
Unexpected Differences
Format of skill content for informal workers
Speakers: Bhutachandra Shekhar, Aman Jain, Jayant Chaudhary
Translating skill‑related books into 22 Indian languages and delivering them via audio/visual formats bridges language barriers for informal workers AI‑based Skill India Assistant and multilingual AI coach aim to reach people with disabilities and remote communities Early identification and AI‑enabled teacher tools can support children with special needs, preventing drop‑outs
Bhutachandra Shekhar stresses that traditional printed skill books are ineffective for low-literacy workers and proposes audio/visual, multilingual resources [250-256]. In contrast, Aman Jain and Jayant Chaudhary focus on AI-driven digital platforms (Skill India Assistant, AI coach, teacher tools) as the primary delivery mechanism [68-70][71-78]. The divergence in preferred medium was not anticipated given the overall consensus on leveraging AI for skilling.
Overall Assessment

The discussion showed broad consensus on the importance of AI‑driven skilling and public‑private collaboration, but clear disagreement on the employment impact of AI and on the optimal delivery format for skill content. While most participants agreed that AI can create new opportunities, the extent of potential job loss and the need for reskilling were contested. Likewise, participants shared the goal of inclusive skilling but proposed divergent tools—platform‑based AI assistants, teacher‑centric AI tools, and coordinated dashboards or audio‑visual resources. These disagreements are moderate in intensity and suggest that policy design will need to reconcile differing views on labour impacts and on the most effective mechanisms for inclusive outreach.

Moderate disagreement: substantive differences on employment outcomes and implementation pathways, but overall alignment on the strategic importance of AI skilling and multi‑stakeholder collaboration.

Partial Agreements
All three speakers share the goal of expanding AI‑driven skilling for under‑represented groups. Aman Jain proposes platform tools (Skill India Assistant, AI coach) [68-70]; Jayant Chaudhary stresses early identification of special‑needs students and AI‑powered teacher tools for personalized learning [71-78]; Deepak Bagla calls for a unified dashboard that links school labs, mentors and industry to coordinate outreach [411-414]. They differ on the primary mechanism to achieve inclusive skilling.
Speakers: Aman Jain, Jayant Chaudhary, Deepak Bagla
AI‑based Skill India Assistant and multilingual AI coach aim to reach people with disabilities and remote communities Early identification and AI‑enabled teacher tools can support children with special needs, preventing drop‑outs Nationwide school‑level innovation labs and record‑breaking hackathon demonstrate grassroots AI talent and need for a unified innovation dashboard
The speakers agree that industry must play a central role in vocational training. Jayant Chaudhary calls for industry partners to redesign ITI curricula, create PM Setu clusters and provide trainers [100-124]; Aman Jain highlights Meta’s public‑policy work and AI‑coach as examples of industry support [98-99]; Deepak Bagla envisions a single dashboard that brings together schools, incubators, mentors and industry for coordinated action [411-414]. Their approaches to operationalising industry collaboration differ.
Speakers: Jayant Chaudhary, Aman Jain, Deepak Bagla
Industry partnership is crucial for redesigning ITI curricula, creating clusters, and embedding corporate expertise in skill programmes Meta’s public‑policy engagement and AI‑coach development exemplify how industry can support national skilling agendas Nationwide school‑level innovation labs and record‑breaking hackathon demonstrate grassroots AI talent and need for a unified innovation dashboard
Takeaways
Key takeaways
AI skilling is being scaled rapidly in India – 15,000 youth trained so far with a target of 100,000, demonstrating strong government‑industry‑academia collaboration. Youth‑led AI innovations are already delivering social impact: offline AI‑powered cardiac diagnostics for rural PHCs, autonomous AI agents that eliminate productivity loss for MSMEs, and a generative‑AI model that queries Ayurvedic manuscripts. AI is viewed as a new utility (like electricity or the internet); the “switch” must be in the hands of the young to turn them into creators as well as consumers. AI is expected to create new job categories rather than simply displace existing ones, especially through contextualisation for India’s linguistic and sectoral diversity. Inclusion and accessibility are central – early identification of special‑needs students, multilingual AI tools, audio‑visual skill content in 22 Indian languages, and AI‑based assistance for people with disabilities. Cross‑sector data sharing (weather, energy, agriculture) is essential for effective public services and for building AI‑driven solutions. Public‑private‑academic ecosystems (e.g., Atal Innovation Mission labs, Skill India Assistant, industry‑driven ITI clusters) are critical for scaling skilling and innovation. South‑South cooperation is highlighted: India’s multilingual, diverse AI experience can be a model for other Global South nations.
Resolutions and action items
Meta will continue to support the Skill India Assistant and develop a multilingual AI coach in partnership with the Ministry of Skill Development. The Ministry of Skill Development and Entrepreneurship will promote data‑sharing mind‑set among government departments and integrate AI tools into teacher training for special‑needs education. Industry partners are asked to collaborate on redesigning ITI curricula, create regional ITI clusters, and provide corporate trainers for emerging AI‑related skills. Atal Innovation Mission will maintain and expand school‑level innovation labs, hackathons, and work toward a unified innovation dashboard that links schools, incubators, mentors, and policymakers. A proposal for a national skill‑census was raised to map existing skills and guide targeted up‑skilling programmes. Commitment to translate skill‑related content into multiple Indian languages and deliver it via audio/visual formats (Anuvadini initiative).
Unresolved issues
Concrete mechanisms for ensuring AI‑driven productivity gains translate into humane work‑life balance and broader societal well‑being. Detailed roadmap and funding model for the proposed unified innovation dashboard and how it will be governed. Specific policies and standards for contextualising large language models to India’s linguistic diversity beyond pilot projects. Clear strategy for reskilling workers whose jobs may be displaced by AI, especially in sectors not yet covered by current skilling programmes. Implementation plan for early‑identification and AI‑enabled teacher tools for special‑needs students at scale. Metrics and evaluation framework to measure the impact of the 100,000‑youth AI skilling target and the downstream economic effects.
Suggested compromises
Shift from closed‑network hiring to more open, competency‑based recruitment, allowing industry to tap into the broader pool of skilled youth. Focus on building AI models that work for local contexts (language, data) rather than pursuing only frontier global models. Blend AI automation with human oversight – e.g., using AI for contextualisation and teacher assistance while retaining human decision‑making for nuanced cases. Encourage cross‑sector movement of personnel (government ↔ academia ↔ industry) to foster knowledge exchange and reduce siloed expertise.
Thought Provoking Comments
AI for Cardio is a desktop application that works completely offline, allowing medical practitioners in primary health centers to upload ECG images and blood reports and receive a diagnosis powered by LLaMA 3.11, fine‑tuned on 800 GPUs, and already deployed in over 100 PHCs serving 1,000+ patients.
Demonstrates a concrete, low‑resource AI solution that directly addresses a critical healthcare gap in rural India, showing that AI impact does not require constant internet connectivity.
Shifted the conversation from abstract policy to tangible impact, prompting the panel to discuss scalability, offline AI, and the importance of deploying AI at the grassroots level.
Speaker: Nandakishor Mukkunnoth
The Prime Minister said that the notion of AI taking away jobs is misplaced; technology creates new opportunities rather than eliminating them. What are your thoughts on this, and what advice would you give?
Introduced the central, often‑debated narrative about AI and employment, framing the rest of the discussion around job creation versus displacement.
Triggered a series of responses that explored first‑mover advantage, the expanding ‘pie’ of opportunities, and the need for reskilling, setting the thematic direction of the panel.
Speaker: Aman Jain
When any new tech comes in, if we adapt early we become first‑movers and the size of the pie goes up. AI will create whole new job categories – contextualisation, multilingual voice agents, etc. Also, the terms ‘white‑collar’ and ‘blue‑collar’ are offensive; AI will blur these boundaries.
Challenged conventional job classifications and highlighted how AI can expand the economic pie, while also raising social equity concerns.
Deepened the debate on AI’s societal impact, leading other speakers to discuss inclusive skilling, language diversity, and the need to rethink hiring practices.
Speaker: Jayant Chaudhary
AI will make us more productive, but will we become more humane? Will we value human experiences more, or will life become harder? The event’s tagline asks if we can become happier citizens and engage with governance more transparently.
Moved the conversation from technical and economic aspects to philosophical and ethical dimensions of AI adoption.
Prompted participants to consider the human‑centred outcomes of AI, influencing later remarks about teacher sensitisation, accessibility for disabled learners, and the broader purpose of skilling.
Speaker: Jayant Chaudhary
We need to screen and identify students with special needs early, sensitize teachers, and use AI tools to create customized learning journeys so that no child is left behind.
Introduced a concrete strategy for inclusive education, linking AI capabilities with early intervention and teacher training.
Steered the dialogue toward practical implementation of AI in schools, leading to discussion of AI‑driven teacher tools, the Skill India Digital Hub, and multilingual support.
Speaker: Jayant Chaudhary
Industry hiring in India still relies on closed networks and trust‑based referrals. We must open up hiring, create state‑of‑the‑art business development, and involve industry in designing curricula for ITIs, leveraging the new PM Setu funding.
Critiqued entrenched hiring practices and proposed a systemic overhaul involving industry‑academia collaboration, backed by substantial government funding.
Catalysed a conversation about public‑private partnership, the need for industry‑led curriculum redesign, and the role of the Atal Innovation Mission in bridging the skills gap.
Speaker: Jayant Chaudhary
Government data silos must be broken; departments like agriculture, energy, and disaster management need to share granular data (weather, GPS, cropping patterns) to deliver better services.
Highlighted a structural barrier to AI‑driven governance and emphasized the cultural shift required within the bureaucracy.
Prompted acknowledgment from other panelists that cross‑sector data integration is essential for AI solutions, reinforcing the theme of collaborative ecosystems.
Speaker: Pankaj Kumar Pandey
Skill‑related books for trades are often just images without description. We have built an advanced visual‑arts learning model that can describe images in 22 Indian languages, creating audio‑based skill books for low‑literacy workers.
Identified a gap in vocational education resources and presented an AI‑driven multilingual solution, underscoring the importance of language accessibility.
Expanded the discussion on multilingual AI, leading to further remarks on language barriers, regional inclusivity, and the role of AI in democratizing skill acquisition.
Speaker: Bhutachandra Shekhar
The Atal Innovation Mission has organized the world’s largest hackathon with over 25 lakh prototypes, engaging 10 000 schools. We envision a single dashboard where every school lab, incubator, mentor, and policy‑maker can interact in real time.
Showcased the scale of grassroots innovation in India and proposed a visionary digital infrastructure to unify the ecosystem.
Inspired optimism about scaling AI skilling, reinforced the need for integrated platforms, and echoed earlier calls for collaboration across government, industry, and academia.
Speaker: Deepak Bagla
India’s diversity makes it a microcosm of the world; solving AI challenges here (multilinguality, data heterogeneity) provides templates for the Global South. The UN is concerned about the AI divide, so India must lead in inclusive AI deployment and reskilling.
Positioned India as a global exemplar for inclusive AI and linked national efforts to broader international equity concerns.
Shifted the conversation to a global perspective, reinforcing the summit’s theme of South‑South cooperation and prompting final remarks about policy and partnership.
Speaker: Darren Farrant
Overall Assessment

The discussion was driven forward by a handful of incisive remarks that moved the dialogue from high‑level policy rhetoric to concrete, human‑centred challenges and solutions. Early questions about AI and jobs set the agenda, while Jayant Chaudhary’s reflections on inclusive employment, ethical implications, and the need to overhaul hiring and education practices introduced depth and provoked a re‑examination of existing structures. Contributions from Pankaj Pandey and Deepak Bagla highlighted systemic data silos and the scale of grassroots innovation, prompting calls for integrated platforms and public‑private collaboration. Bhutachandra Shekhar’s focus on multilingual, accessible learning resources and the concrete example of AI for Cardio grounded the conversation in tangible impact. Together, these comments redirected the conversation toward actionable pathways—opening data, reshaping curricula, leveraging multilingual AI, and building unified ecosystems—thereby shaping the summit’s narrative from abstract ambition to practical, inclusive implementation.

Follow-up Questions
What are the implications of AI on job displacement and what advice do you have for managing potential job losses?
Raises concern about AI potentially eliminating jobs and seeks guidance on mitigating impacts.
Speaker: Aman Jain
How can AI skilling and its benefits be ensured to reach underrepresented groups such as people with disabilities and those in remote or far‑flung areas?
Seeks strategies for inclusive AI outreach and equitable skill development.
Speaker: Aman Jain
What concrete steps can industry take to partner with government initiatives for AI skilling and capacity building?
Requests a clarion call for industry‑government collaboration to scale skilling programs.
Speaker: Aman Jain
How can early identification and support for students with special needs be improved using AI tools?
Highlights the need for screening, teacher sensitization, and AI‑driven personalized learning for special‑needs students.
Speaker: Jayant Chaudhary
What approaches are needed to develop truly multilingual or omnilingual AI models that overcome language barriers across India?
Emphasizes the importance of AI that works in all Indian languages to ensure broad accessibility.
Speaker: Jayant Chaudhary, Aman Jain
Should India conduct a comprehensive skill census to map existing skills and gaps across the population?
Proposes a national skill census to inform policy, training, and workforce planning.
Speaker: Ayurveda GPT Member
Can a unified dashboard be created to connect school innovation labs, incubators, mentors, and policymakers for real‑time collaboration?
Suggests a single platform to streamline communication and coordination among ecosystem stakeholders.
Speaker: Deepak Bagla
How can innovators from hinterland or remote regions participate in AI development and create solutions that are globally relevant?
Seeks pathways for grassroots innovators to engage with national and global AI ecosystems.
Speaker: Manav Subodh (to Deepak Bagla)
What role can India play in the Global South to lead AI development and promote ‘Made‑in‑India’ solutions worldwide?
Explores India’s potential as a champion for AI equity and technology transfer to other developing nations.
Speaker: Manav Subodh (to Darren Farrant)
What specific actions are needed to scale NSDC’s AI‑skilling initiatives to ensure the talent pipeline is employable?
Looks for concrete scaling strategies to align skilling outcomes with job market needs.
Speaker: Manav Subodh (to Rishikesh Patankar)
How can industry collaborate with the Karnataka government to make AI skilling programs scalable and replicable?
Requests industry input on expanding state‑level AI education and training models.
Speaker: Manav Subodh (to Pankaj Pandey)
What is the effectiveness and impact of offline AI diagnostic tools like ‘AI for Cardio’ in rural primary health centres?
Calls for evaluation of clinical outcomes, adoption rates, and scalability of offline AI health solutions.
Speaker: Nandakishor Mukkunnoth (implied research need)
What measurable benefits do autonomous AI agents provide to MSMEs in terms of productivity gains and revenue leakage reduction?
Seeks data-driven assessment of AI agents’ ROI for small and medium enterprises.
Speaker: Ashish Pratap Singh (implied research need)
How accurate and user‑friendly is the Ayurveda GPT model for querying traditional manuscripts, and what are its limitations?
Calls for validation studies on the model’s performance and applicability.
Speaker: Ayurveda GPT Member (implied research need)
What is the net effect of AI adoption on job creation versus job displacement in the Indian economy?
Requests macro‑level analysis of AI’s impact on employment across sectors.
Speaker: Jayant Chaudhary (implied research need)
How effective are teacher‑sensitization tools and AI‑driven classroom interventions for students with special needs?
Needs evaluation of AI‑based educational tools on learning outcomes for vulnerable learners.
Speaker: Jayant Chaudhary (implied research need)
What are the implementation outcomes and impact of the PM Setu scheme on ITI clusters and skill development?
Seeks assessment of funding utilization, cluster performance, and industry engagement.
Speaker: Jayant Chaudhary (implied research need)
How can the AI Coach’s multilingual capabilities be expanded and evaluated across India’s linguistic diversity?
Looks for roadmap and testing framework for omnilingual AI coaching tools.
Speaker: Aman Jain (implied research need)
What frameworks and standards are needed to enable data interoperability across government departments (e.g., agriculture, energy, weather) for AI‑driven services?
Calls for policy and technical solutions to break data silos within government.
Speaker: Pankaj Kumar Pandey (implied research need)

Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.