From Innovation to Impact_ Bringing AI to the Public

20 Feb 2026 15:00h - 16:00h

From Innovation to Impact_ Bringing AI to the Public

Session at a glance

Summary

This discussion centers on the transformative potential of artificial intelligence in India’s economy, featuring Vijay Shekhar Sharma of Paytm and other participants exploring AI’s impact across various sectors. Sharma argues that AI represents a tremendous opportunity for India to become a globally dominant AI nation, emphasizing that rather than reducing jobs, AI will enhance productivity and enable individuals to accomplish more, such as allowing a shopkeeper to manage multiple businesses simultaneously.


The conversation highlights India’s advantageous position as a $2.5-3.5 trillion economy with potential to add another $2 trillion over the next decade through AI adoption. Sharma strongly advocates for India developing its own foundation models, arguing this is essential for moving beyond a services-oriented culture and preserving Indian cultural knowledge and biases that may be underrepresented in Western-trained models. He uses examples like traditional Indian beliefs about food combinations (curd and banana at night) to illustrate how cultural nuances could be lost without India-specific AI development.


The discussion explores AI’s potential to revolutionize financial inclusion, healthcare, and education by providing personalized, accessible services in native languages. Participants discuss how AI can remove biases in financial decision-making and enable better healthcare monitoring, with Sharma sharing a personal example of using AI to optimize his mother’s medication schedule. The conversation addresses concerns about job displacement, with Sharma maintaining that AI will create new opportunities rather than eliminate work entirely.


Regarding implementation, the speakers emphasize building AI solutions for specific vertical problems rather than attempting to compete directly with large horizontal models. The discussion concludes with optimism about AI’s inclusive nature, suggesting it will reduce inequality by providing powerful tools accessible through simple language interfaces, making advanced capabilities available to users regardless of their technical expertise or economic status.


Keypoints

Major Discussion Points:

AI as India’s Economic Growth Engine: Sharma argues that AI will dramatically increase productivity and enable India to grow from a $3.5 trillion to $5.5 trillion economy in the next 7-10 years. He sees AI not as job displacement but as an opportunity multiplier, allowing individuals (like shopkeepers) to scale their operations and become more productive.


The Imperative for India-Built Foundation Models: There’s a strong emphasis on India developing its own AI foundation models to preserve cultural knowledge, reduce Western biases, and move up the value chain from services to product creation. Sharma stresses this is about national capability and cultural preservation, not just technological competition.


AI-Driven Financial and Social Inclusion: The discussion explores how AI can democratize access to financial services, healthcare, and education by providing personalized, language-native interfaces. Examples include AI-powered wealth management for auto-rickshaw drivers and personalized medical care monitoring.


Agent-First Future and Interface Revolution: Sharma envisions a near-term future (by 2027) where AI agents will handle most digital interactions on behalf of users – from booking Ubers to making financial decisions. This represents a fundamental shift from app-based to conversation-based interfaces.


Vertical AI Applications vs. Horizontal Models: Rather than competing directly with large foundation models, the focus should be on building specialized AI solutions for specific industries (finance, agriculture, healthcare) that can solve particular problems more effectively.


Overall Purpose:

The discussion aims to present AI as a transformative opportunity for India’s economic development while addressing concerns about job displacement and technological dependence. It serves as both a vision-setting exercise for India’s AI future and a practical guide for entrepreneurs and students on how to leverage AI technologies.


Overall Tone:

The tone is overwhelmingly optimistic and enthusiastic throughout, with Sharma maintaining an energetic, confident demeanor. He uses colloquial examples and switches between English and Hindi to make complex concepts accessible. The tone remains consistently bullish on AI’s potential, with occasional moments of practical caution (like not giving AI full control of bank accounts). The audience engagement suggests genuine curiosity and some underlying concerns about AI’s impact, but Sharma consistently reframes challenges as opportunities.


Speakers

Speakers from the provided list:


Vijay Shekhar Sharma – Founder/CEO of Paytm (payment technology company), expertise in fintech, digital payments, and AI applications in financial services


Harinder Takhar – Role: Moderator/Host of the discussion, expertise in technology and AI


Audience – Multiple audience members asking questions during the Q&A session, including individuals with backgrounds in finance, technology, education, and various other fields


Additional speakers:


None – all speakers in the transcript are covered by the provided speakers names list.


Full session report

This comprehensive discussion explores the transformative potential of artificial intelligence for India’s economic development, featuring Vijay Shekhar Sharma, founder of Paytm, in an interactive session with industry participants examining AI’s impact across multiple sectors. The conversation presents a fundamentally optimistic vision of AI as a catalyst for India’s emergence as a global AI-dominant nation, whilst addressing practical concerns about implementation, job displacement, and technological sovereignty.


AI as India’s Economic Growth Engine

Sharma’s central thesis positions AI not as a threat to employment but as a productivity multiplier that will enable India to achieve unprecedented economic growth. He argues that AI will allow individuals to scale their operations dramatically—using the example of a shopkeeper who could manage multiple shops simultaneously through AI assistance. This productivity enhancement, he contends, will enable India to add $2 trillion to its current economy over the next 7-10 years through compounding growth. The timing, Sharma suggests, is particularly fortuitous as India sits in a sweet spot where adding this magnitude of economic value is more achievable than the percentage growth rates required by larger economies.


The discussion reveals a sophisticated understanding of how technological bottlenecks shift rather than disappear entirely. Sharma uses the metaphor of Delhi’s traffic patterns—where congestion moved from Nehru Place to the airport area as infrastructure improved—to illustrate how AI will eliminate current productivity constraints whilst creating new challenges elsewhere. This perspective reframes the AI adoption narrative from defensive job protection to offensive capability building.


The Imperative for Indigenous Foundation Models

Perhaps the most compelling argument presented centres on India’s need to develop its own foundation models. Sharma frames this not merely as a technical or economic decision but as a matter of cultural preservation and national capability. He argues that India must move beyond its services-oriented culture to become a creator of foundational technologies.


The cultural preservation argument proves particularly nuanced. Sharma illustrates how Western-trained models may lack understanding of Indian cultural practices, using the example of traditional beliefs about consuming curd and banana at night. He explains that foundation models learn from digitised internet content, which is predominantly Western and English-language, creating inherent biases that may not reflect Indian knowledge systems or Ayurvedic principles. He shares a personal example of consulting Kerala Ayurveda practitioners who provided insights that differed from Western medical approaches, highlighting how Indian-developed models could preserve and extend the country’s “compounded historical knowledge” rather than allowing it to be lost to future generations.


While acknowledging the significant investment required, Sharma points to India’s demonstrated commitment with initiatives like the QR code infrastructure, where Paytm and other companies invested over ₹35,000 crores combined. He emphasises that the challenge involves developing the right business models, marketing capabilities, and technical expertise in areas like reinforcement learning and model optimisation.


Vertical Applications and Practical Implementation

The conversation reveals a pragmatic approach to AI development, favouring vertical-specific solutions over attempting to compete directly with massive horizontal foundation models. Participants discuss building models with 4-20 billion parameters focused on specific industries rather than the 200+ billion parameter models developed by major tech companies.


Audience questions and Sharma’s responses highlight specific applications: agricultural models that can analyse visual data to detect nutrient deficiencies in plants, healthcare models for livestock illness detection, pollution monitoring and solution systems, and risk and fraud control models for financial services. Sharma uses the analogy of engine development to explain this approach: just as the discovery of engines led to various applications (cars, trucks, trailers), foundation models serve as intelligence engines that can be adapted for specific use cases.


Financial Inclusion and Bias Removal

The discussion extensively explores AI’s potential to revolutionise financial inclusion in India. Beyond the payment inclusion and bank account access that India has largely achieved, participants identify significant opportunities in credit access, insurance, and wealth management services. Sharma envisions AI enabling sophisticated financial advice for common people—such as auto-rickshaw drivers with ₹2-5 lakh savings—who currently lack access to professional wealth management services.


A particularly insightful contribution from an audience member highlights AI’s potential to remove human biases in financial decision-making. They explain how human loan officers may be influenced by how applicants dress, speak, or present themselves, whereas AI systems can focus purely on relevant financial data. This perspective positions AI not just as an efficiency tool but as a mechanism for social justice and inclusion, potentially reducing discrimination and improving access to credit for underserved populations.


The conversation also addresses the evolution of traditional banking institutions. Rather than becoming redundant, Sharma argues that banks will continue to serve their core functions of deposit security and credit distribution whilst transforming their service delivery mechanisms.


Agent-First Future and Interface Revolution

One of the most visionary aspects of the discussion concerns the emergence of AI agents as intermediaries in digital interactions. Sharma predicts that AI agents will handle most routine digital tasks on behalf of users, from booking transportation to making financial decisions. He uses the historical metaphor of royal ambassadors to explain how these agents will interact: “I’m from Harinder Takkar’s court, and he wants Uber.”


This agent-to-agent interaction model raises fascinating questions about the future of digital interfaces, authentication, advertising, and business models. Sharma specifically predicts that by 2027, the current method of searching and clicking through web pages will seem archaic to new generations, as conversational AI interfaces become dominant. He suggests that this transformation will fundamentally change how people interact with digital services.


Healthcare Applications and Personal Examples

Sharma provides compelling personal examples of AI’s healthcare applications, describing how he uses AI to monitor his mother’s health following heart disease and stroke. He explains how data from her Fitbit feeds into his AI agent for continuous monitoring, and shares a specific example where he used ChatGPT to analyse her medication schedule. The AI suggested adjusting the timing of her medications to reduce side effects and improve her appetite. When he consulted her doctor about this recommendation, the doctor simply responded “yes, you can,” highlighting how AI can provide valuable insights that complement professional medical care.


This example illustrates AI’s potential to provide personalised, continuous healthcare monitoring and decision support that would be impossible to achieve through traditional healthcare delivery models alone.


Educational Transformation and Accessibility

The discussion addresses concerns about AI’s impact on education with nuanced perspectives on institutional evolution. Sharma argues that schools serve social functions beyond knowledge transmission—providing peer interaction, social development, and collaborative learning experiences that cannot be replicated through AI alone. However, he acknowledges that teaching methods will need to evolve from traditional lecture-and-examination models.


For students currently pursuing degrees in traditional fields, Sharma’s advice centres on learning to leverage AI as a productivity enhancement tool rather than viewing it as a replacement threat. He specifically addresses tier 3 and tier 4 students, suggesting they should enhance their curiosity and use AI to supplement their education across all subjects, asking comparative questions and seeking deeper insights than traditional educational methods might provide.


Contrary to common concerns about AI exacerbating inequality, Sharma argues that AI represents uniquely democratising technology. Its natural language interface makes sophisticated capabilities accessible to users regardless of their technical expertise, literacy levels, or economic status. He emphasises that AI works in native languages and doesn’t require typing skills, making it more inclusive than previous digital technologies. This accessibility positions AI as a tool for bridging rather than widening digital divides.


Risk Management and Human Oversight

Whilst maintaining an optimistic outlook, the discussion acknowledges important limitations and risks. Sharma emphasises that AI should never have full control over sensitive areas like bank accounts and financial transactions. He uses the analogy that just as you wouldn’t give someone complete authority over your finances, you shouldn’t give AI unrestricted access to critical decisions. Humans must retain ultimate authority over important choices.


The conversation also touches on AI’s tendency to be overly accommodating and its limitations in regulated industries where data access may be constrained. Sharma suggests that collaboration with industry stakeholders and regulatory sandboxes can help overcome some limitations whilst maintaining appropriate oversight.


Implementation Strategy and Practical Applications

For practical implementation, Sharma outlines Paytm’s strategy of focusing on small and micro merchants rather than competing directly with large consumer-focused AI companies. This approach involves building AI solutions that help small businesses make better operational decisions and access financial services. The company has developed an AI sound box that brings AI capabilities to small vendors and shopkeepers, demonstrating how AI can be distributed through existing business networks.


Sharma emphasises building AI capabilities that serve India’s specific needs whilst contributing to global AI development. Rather than simply consuming AI technologies developed elsewhere, India should become a creator and exporter of AI solutions, particularly in areas where Indian expertise and cultural understanding provide competitive advantages.


Future Vision and Timeline

The discussion concludes with predictions about the pace of transformation. Sharma suggests that the changes will be dramatic and relatively rapid, with new generations finding current digital interaction methods outdated within a few years. However, he emphasises that this transformation represents tremendous opportunity rather than threat, provided that India takes proactive steps to build indigenous capabilities, ensure inclusive access, and maintain appropriate human oversight.


This comprehensive discussion ultimately presents a roadmap for India’s AI-driven economic transformation, emphasising the need for indigenous development, inclusive access, practical applications, and thoughtful integration with existing institutions and social structures. The vision is ambitious yet grounded in practical examples and concrete implementation strategies, offering both inspiration and actionable guidance for leveraging AI’s democratising potential while preserving India’s cultural knowledge and addressing its specific developmental needs.


Session transcript

Vijay Shekhar Sharma

that can take you farther and farther ahead in the world economy. So I see it not as a job reduction. I see it as opportunity for India to create a global AI -dominant nation. And that does not mean that that is easy to do. But at the same point of time, most of us have to take a will, and we should be taking the commitment towards leveraging AI first. For example, like if you have a smartphone now, even a small shopkeeper does not believe he does not have a smartphone. They get payment from Paytm and work a lot of life. They assume that there is a smartphone, which is fair. Now, if you believe that you can build a business model, or entrepreneurs will build a business model as a customer, you use AI first products, the productivity will be dramatically higher.

So a person who was running a shop can run multiple shops. So GDP growth will automatically come in a different size because the productivity per person will be higher. And that is the lacking thing of India. the problem will be that will India be that bigger market or not and I want to tell you this is a very good lucky moment that we all are sitting it is tough to grow from 20 billion to 25 billion anyway that is 50 % growth and 25 % growth is very tough but luckily India is right now living in 2 .5, 3, 3 .5 trillion economy and I am comfortably going to say that 2 trillion dollar can be compoundingly growing in next 7, 10 years so if you are sitting in this economy in 2026 and you believe that next 2 trillion is going to come in next 10 years so I don’t have to tell you out of 2 trillion dollars many of you can get many of million dollars or billion dollars entities or business benefit to yourself so that’s why the India is a bull case scenario and AI on top of it is the absolute bull scenario I don’t think there is any challenge to that someone asked me this question in some other audience so I said like in Ramcharitmaras if Pran goes but Bachar doesn’t go similarly if Job goes but AI doesn’t go Well, job jai hoga nahi, kyunki people will have method to discover themselves to do more productive job.

So, in my opinion, the traditional kind of work, main job ko yaha pe metaphorically use kar raha hoon, traditional kind of work versus the AI kind of work. And so, that will happen. Main completely maata hoon, main isko apne tarike se express karna chahta hoon. Humare kisi bhi system ko banane ke liye, koi bhi job karne ke liye company ke andar ya kahin pe bhi, kahin na kahin koi bottleneck hota hai. Aur ab increasingly, ap log ye figure out karoge, ki wo wala bottleneck pe eliminate ho jata hai. Iska basically matlab hai ki sadak chodi ho gayi. Problem kahin aur shift ho gayi hai. Problems disappear nahi hoti hai, wo bas move kar jati hai kisi aur jaga ke upar.

Outer ring road ke road block se bhi hume yahi bata chalta hai. Ke road, sae pehle Nehru place pe ruka karta tha jam, ab jaake wo airport ke paas lagta hai.

Harinder Takhar

Very good. Main samajh gaya. Achha sab na aya. Okay. Toh ek aur related question tha, ki opportunity. is a lot. And when we look at the exhibition hall, someone is making a chip, someone is making a data center, someone is making a foundation model. So should we all make a foundation model in India? Should we make our own chips? Should we make our own applications?

Vijay Shekhar Sharma

Very good. So first I want to say one thing. To make a foundation model, English, we’ll speak English and Hindi, okay? And you should use AI to live translate. No, it’s okay. We’ll definitely, I understand, and we will do it. So in my opinion, India has to build a foundation model. This is no compromise statement. Not because that we can make a better financial foundation model or not, but because we as country have to move on from services culture. I mean. There is nothing wrong about IT service business. There is nothing wrong about BPO and business services, but it is an obligation on us. that we should move up in the value chain. It’s like growing up in the life.

You do not move up in the value chain. You rather continuously make something for someone. So most of founders or capable technology people in Silicon Valley will have a significant mix of Indian people. So as a people, we are able and capable. So can’t our country have enough amount of resource allocated to those individual capable people that they can make foundation model? We have to do it and we have to prove it. So I first of all applaud Sarvam that they have launched it and they have launched a perfectly, I would say awesome foundation model from India. And I want many of us to do it so that this race does not look like that there was none or only one.

There should be tens of foundation model to prove in the world that Indians can do it and Indians are doing it in India. That is why we need foundation model. And now the question of that whether it is on an ego or is it on a use case basis, the advantage of India financial or made in India sovereign model will be that the amount of… nuance and biases that happen so what is a foundation model it is like aggregated knowledge of what you give the feed off now obviously all of us have our own perfect understanding of whether this is correct or not so after the power a lot of us would know this like for a small kid making them eat banana or curd in the night is considered as if next day they may have some cold or some other thing but when you go on internet internet is half and half divided it doesn’t believe it and it believes it and then you’re totally confused but when you go Ayurveda then it says something else and obviously it follows the bath with and also at cuff kind of philosophy so that the answer is not the straightforward as straightforward as we believe but it has an answer in a different way versus an answer in a different way in a Western medicine if you will now I’m not saying Western medicine is right or wrong I’m saying I need my opinion I need the culture or the knowledge that we have inherited extended towards the next generation And I want that to happen by the intelligence that we will query, which means that that can only be done by somebody who is making for it.

If we don’t make for it, our all compounded historical knowledge will be lacking in the next generation. So instead of adding on top of it, we will not be able to take it further. So it is a case for India to build not just a perfect foundation model, also retrained models. Like you remove the biases that it has, you trim it to the ability that you want. And you make it for the purpose that you want. And that I believe India’s opportunity is even bigger beyond just the foundation model.

Harinder Takhar

So I have a two -part follow -up. All right. So I believe that this is probably just a way to discourage people. And it may be more than that. But we often hear, mostly on Twitter or from these large foundation model companies, that if you don’t have 10 ,000 crores, why are you even in this place? What is your viewpoint on that?

Vijay Shekhar Sharma

I mean, literally, PTM, we both of us, put more than 10 ,000 of you, put 25 ,000 crore on the table for making this humble QR which is everywhere now. So there is an ambition and there is a commitment. So the question whether you put a billion or two or four or five, it’s not that question. I think the question should be whether there will be enough business model of that. Will we have a skill to market it? And remember, the world is right now not just made in America. There is a European model and there is a China set of models. We need our models. And the proving point now that there is, I would say, enough knowledge of model creation is that it is not literally about a billion dollar or two or ten.

It is also about the kind of smartness that you can run on the model creation. RL and so on and so forth. And there is a lot of chemistry and math or let me put it rather better way of saying it. There is a lot of physics and gravity handling capabilities that are discovered now that you can build model in a much less cost. So whether, I mean, another question that a couple of us were asked when I was roaming around, why don’t you build an LLM? So actually, now I should ask you, what kind of LLM are we or you building when we talk about that there should be a model made in India?

Audience

Yeah, this was going to be my question to him. But it’s always fun to answer. I think that models are just not what we know them today to be question and answer knowledge sharing sessions. There are models that have capabilities for reasoning, problem solving, for building agents. So you want to give them agency, the ability to act and so on. I think that to answer your question of whether we should build or not, I believe that there is much more than a question and answer chatbot model. And we believe that we should build models that actually solve problems that actually have. the committed confident agency to take actions on behalf of others

Vijay Shekhar Sharma

okay so you’re saying and this is for everybody to know we are making models but their models for a vertical problem not for a horizontal scope so instead of talking about 200 billion token model we would be making four or five billion token model or 20 billion token just in case like we should open the questionnaire from the audience also because some of you may have and we will not have a time after that sort of line item so while we are talking you can just raise the hand and I’ll just allow this to okay now that’s you literally are asking good vertical problems to solve

Audience

oh it’s easy I mean imagine it’s a classic triangle of mess laws hierarchy the first is the financial foundation that you need to solve for financial services so there is a risk fraud control models that some of us are building and we built it and then you go on top of it like food food chain which is agree and processing of this if you want to produce high quality you food outcomes at a more yield, there is a tremendous amount of data that gets generated in visual amount of data and the farmers need access to it, nuance of it. We just heard how Prime Minister was able to ask a question that maybe a cow is not able to say that I am ill, if you have an ability to discover that the cow is ill. Maybe a tree may not say or plant may not say that I need this mineral or supply and maybe you can read it.

So there is a tremendous amount of vertical like I just told you example of finance, agri, husbandry, you can go towards now industrial, you can go towards the problem of pollution which is we are sitting in this country, this city. So there are many vertical solutions that we can build a specific use case.

Vijay Shekhar Sharma

So let me just help you guys think of it another way of it. Mr. Banj discovered an engine and that engine then got percolated by many to be made. so LLMs are like an engine and they are literally called intelligence engines just in case, now if you had access to an engine, can you make engine? you should, so that you can make your own vehicle use case, you can make a small car, you can make a big car, you can make a truck, you can make a trailer, there are so many use case of a transport so think of it in that eyesight, then you will say, well do I need to make a small car in India because I heard that there is a small car being made elsewhere no, you will need to make it, I can confirm it and so like in automobile industry, making an engine is an art, I would say making an engine equivalent of LLM is an art, yes, but many of us will have it and many of us are making for those

Audience

yeah, finance is the one of the few things which is part of vertical, but it is also one of the few things horizontal every industry requires and has a financial department food, finance, both both

Vijay Shekhar Sharma

yes so all of all humanity needs these foundations so you are into both vertical and horizontal at one go

Audience

Yeah, that’s right.

Vijay Shekhar Sharma

So, perfect. Now, question to you. The classic financial use case, considering we just heard it, what kind of use cases you believe the LLMs will save or solve for the problems that you see in financial industry and what you believe fundamentally could be solved for wider financial industry and we might have solved them or not yet?

Audience

I think that the best favor or the best value we can add is to remove biases in decision making that we already see in our financial system, which are actually a complete antithesis to the whole inclusion aim that we all have.

Vijay Shekhar Sharma

Beautiful. Give me an example of it. So, a very good starting point would be detecting whether a particular transaction should go through or not. There is a lot of bias today in the rules that we set, in the checks and balances that we set in allowing… transaction through and you can invariably say that if there is a loan officer deciding on whether you should be getting a loan, there is a lot of bias that creeps into it. We are not able to measure that today but when you ask a machine to make that decision, you actually remove those biases. So the person who may not present themselves very nicely is unlikely to get a loan but the machine doesn’t care about how you present yourself.

So you are saying that when you make a financial decision, when financial industry or system makes a decision, there may be unknown known biases and the unknown biases can be removed even if you want to keep the known biases. The good thing is that the machine actually now helps us identify what the biases used to exist which you are very used to. And speaking of financial industry and going beyond, one of the things that I want all of us to know. So classic. Financial inclusion is not just about payments inclusion or bank account inclusion, which I would say that India has perfectly solved. It will continue to grow towards the next requirement. And most of us need access to credit, access to insurance, access to classic wealth solutions.

Right now the wealth in India is only when you have crore or plus or less, somewhere around that amount. But a normal auto rickshaw driver who has 20 ,000, 50 ,000 or 2 lakh or 5 lakh saving also deserves to have a financial wealth model. And that person, poor fellow, by hearing or hearsay may invest or risk the capital at large. So the access to the financial services can become further and dramatically scalable once you add the power of AI to it. For example, like capability of auto rickshaw driver like I just now contextualized you. Imagine that person has 2 or 3 lakh rupees. You can suggest based on your risk and time horizon, you should put it in FD, you should put it in a gold or a sovereign gold fund or you could put it in let’s say some index fund.

Because you’re talking about 15 year forward money that is for your house, family, daughter or kids education or something. Now, those things can not be told by a commoner around them. And then you can make it in a language and you can answer the questions like ChatGP today answers the question in a language they speak and the language they get the answer. So in my opinion, AI will enable financial inclusion to a next level because it is not just about the access to the smartphone, but the question answers that you get from smartphone can become far more native and continuously possible. So let’s say this guy is busy whole day, can start in the evening when he is waiting for some customers and start talking to it and can take a decision.

Now, at least he has a second opinion and can do it. Similarly, healthcare, huge amount of capabilities because many of us literally just say, but you need to check whether there are some more symptoms or not and what the blood test report says. So the dramatic amount of inclusion of education, finances, healthcare will be such a catapulting impact. On the society.

Audience

Yes. So do you think the whole banking system will become redundant? Because today if I have to make a transaction, I’ll use Paytm. If I have to invest, I’ll use Paytm or a Zerodha. So why is the banks existing? Because with whole human interface, it’s becoming very difficult. They don’t solve our problems. And second thing is, is education, school is going to become redundant because what they’re learning is going to be not valid, will not have a shelf life at all.

Vijay Shekhar Sharma

Okay. I have an opinion on schools. I will, I will, I will. So it’s a very easy thing. If people start to make food at home, will the restaurant become redundant? Yeah, the demand may be a different kind and the need may be a different kind. So first of all, none of these things will become redundant because they do not offer literally the verbatim statement that we just made in this sentence, but they offer much more beyond that. For example, like banking inherently is about extending credit. So ability to have… I have a… well regulated place where you can deposit money and that deposit money is taken care of so that when you need it, it is available to you and when the economy needs it, it is available as a credit which is a business model of a bank is an ability that will never go away.

I mean it is an obligation for them to become even more able and capable in both parts. That security safety of your deposit and ability to disperse credit to the needy. Now that is a part called bank. If we treat bank as a bank branch and your question that you may not walk into the branch, fair. That may be the case because you will not need a branch to make the banking reach places. It can be very perfectly extended using a smart phone and now in a chat bot instead of just an app and that is what the beauty of this inclusion I am calling. The core machine of a financial institution is needed and even more because you will have even further bigger load coming in.

The bank, the way it is served through let’s say a branch could extend itself when the ATM happened through an ATM when apps are happening through an app. You can have a third party app. That’s not a problem but the core activity of the bank still belongs to the bank. And similarly, like you were saying for the schools, schools are not the place only for going in the classroom. How many of us did not attend the class when the teacher was in the class? And I’m talking about college days. I’m the one. Now, that does not mean the college was a bad experience. Rather, college is a social experience of meeting like -minded people and understanding and self -discovering beyond the syllabus in the class.

And I definitely agree with you that maybe a single method of teaching on a blackboard, whiteboard that you’re teaching and the people are writing and just putting up back in exam is changing. Then you have these different MBA institutes like Harvard is popular for case -based education. So those things can be extended towards now in the classroom of a common or other mass level of school. You know, that is what the power of AI is. I’m not a believer yet that you will not need it. I mean, homeschool is good, work from home is good, but going to office has its own use case. just like we just saw in the COVID days that everybody was working from home you can be selfish that I want to work from home because I have 10 more things to do that is always taking care of it and then sort it out but ultimately there is a value to go to a thing a place and that is in my opinion will perpetually remain whether it is school, bank or any other such institution your answer on the education no I completely no no no I am not going to say that the core philosophy that the bank is in a branch definitely changes the philosophy that they will be a let’s say bank manager or somebody to approve a loan will evolve but the core work will remain of the bank so DeFi etc are very different cultures or I would say they all are technology nothing wrong about them again the core philosophy that you store money at place and you demand for it banking.

Harinder Takhar

I completely agree on the school front. School is not just education, also the social experience, and we’ve all benefited from that. So nothing more to add. But I do find an interesting theme across finance, healthcare, education, that it allows you to have more access and more personalized access. Like your doctor is your doctor. It’s not the doctor that says the paracetamol example. Same with your teacher. And I think that makes a very radical impact.

Vijay Shekhar Sharma

It’s amazing. My mother who had a heart and then stroke, which ended up becoming a stroke, heart disease. And then now I leverage the power of AI to keep a track, including she has a Fitbit that generates a feed that goes to my agent. And it triggers to me notification that if all is well, you should check it. Now, that possibility, the kind of nuanced care that I’m talking about, couldn’t have been possible without a doctor support. So I’ll give you another example. And this is something that you should check out. If you have a situation like this. So there was some medicine the doctor gave her. for certain rhythm control and suppressing beats and so on and so forth as the case was.

But some of them ended up taking her palate taste away, making her not feel to eat, and she was becoming weaker. So I talked to the chat GPT, I threw the prescription, and I said, she’s not eating, is there a problem here? So then chat GPT would tell me that I think this combination at this hour, which is pre -lunch, makes this a situation where she may not have a tendency to eat. If you move it to this time, and if you move this earlier, there will be enough window for her to eat. And any which ways, by seeing your heartbeat that I’m seeing, at this time, this beat compression that was needed was not required.

So I’m just suggesting that you should do it, and then obviously put a disclaimer that you talked to doctor and so on. So basically, same medicines in a different time schedule potentially will solve for it. And I sent this to the doctor, and the doctor was like, Like, the good thing I want to tell you is, doctor replied three words, you can do it. Yes, you can. Actually, he said, yes, you can. I said, sir, do you think, I very frankly shared, because doctors don’t feel, and any person who’s skilled in that domain may not feel that you’re bringing cocky input. So I said, my mother was this, and I understand it is tough to go through this nuance.

I tried asking this, it is suggesting this, and this is a brief if you want to read the PDF, but net output is, instead of it to be done before lunch, I can do it after lunch. He said, okay. He said, yeah, you can do it. Yes, you can. That’s the three words of life. And I think then after that, she became better in terms of, because she’s already taken. Now, what we are talking is, that medical, education, finance, agriculture will catapult into a very different stage and age. I can promise you this today, if many of us, the new Gen Z generation, who’s used to a smartphone, must be asking, really? How were you living the life before?

so I can promise you one thing by the time 27 passes and now we are in 25 so some of us are seeing it and I am literally putting a deadline of 27 which means 2 years that by 27 passes every new generation will think that oh are you saying that you used to search and then click on every page and then scroll down to read and then decipher with your cognitive load that what is happening and how did you decide that it is correct or not did you not have an alternate opinion and this and that 2030s will be so shockingly different that we will look archaic in 2010s and 2020s that I can definitely promise

Audience

question from you your mother’s example made me believe that yes these days chat GPT is probably more humane than a doctor himself because this kind of conclusion might not be given by a doctor my question is Since you are giving such wonderful use cases, it’s about the curd and banana example. I would like you to elaborate on that. Would you rather want an Indian -specific model for the purpose, or you are talking about Indian context data, or is it that only Indian children get affected from that banana and curd?

Vijay Shekhar Sharma

Yeah, very good. I like it. Classic future mother, maybe. Perfect. Number one, the data gets trained on what is on digitized and available Internet, because it literally browsed and scrolled Internet and brought it. And then it gives the weight to the common knowledge. So if more people said, blah happened, it believes that, because there is nobody who answered every question for it. How does it believe that what I just now said should happen is that because it learned more number of times it was said. It’s a very surprising method of adding the bias to the model. for example like let’s say we may have a very contentious statement of history if more people tell the model, model will start believing it, did you know this it’s exactly how the social media, viral news sometime which is wrong could be believed to be true because that is how the brain thinks, we also why are you saying this, why are you saying this I feel like I should eat banana or I can eat Lato at night the more of what you see you start believing is the thesis that the model goes through now do you fundamentally believe that internet is filled up with domestic or let’s say Indian or Indian background or history and culture and richness answer is probably not because the western English civilization has brought lot of content which is in English and there is a much less content which is generated, translated in English repeated a number of times, people are discussing so it’s an inherent limitation of our own knowledge that did not propagate on internet, who would have guessed that whatever is written on internet is the ultimate truth versus what is written in the book Now that gap lacks and creates this gap of knowledge of the model.

Can international model do it? Yeah, if you want to tell that no, no, no, on this, this is the truth model. And the problem of the international labs is that how do I know this is the truth model? I can’t. And a lot of people need to say this, that it is a truth model. So there is a limitation of international labs who are making these models. Then can this be done by India lab? India lab will respectfully say this, that why don’t you learn what is written here first and treat this as that it is your definitive knowledge. And there it goes, the obligation to build in India.

Harinder Takhar

And I’ll add just one more thing. There is absolutely a very strong risk of bias from the inputs that you give. But the model has the advantage of also knowing you, who is the person who is asking the question and can reason through all the inputs and still give you a balance.

Vijay Shekhar Sharma

So this is a very interesting thing. I want to tell you that my model, because I have started to give it a lot of things, that many of you used to be doing claw and so on and so forth. it starts to say, oh you are in Delhi this is what Indians do it literally said that, I was trying to ask that what do you think okay it’s a very interesting product feature that I was discussing with it, about wealth system, KTM money and I was trying to ask that give me the cultural nuances of managing money that Indians have which I could add in my feature and the kind of feature I was like, oh yeah that’s good, I would have never thought as a logical person to think like that so yes, it can, you had a question chat GPT you are asking this is very good, very cute Amitabh, he is reading the essay again and again but it’s a good thing chat GPT versus meet our agent sometime later we will do this our agent will talk to your agent then they will decide whether we should talk to you or not this is coming, very seriously now Uber if you order Uber, your agent will call you first Uber, this is expected I have to go now and I am leaving then PJ will pop up and say should I call Uber?

yes, call it should I call the same one? I am not getting this I will make it quick all those things that we all experience that will be so dramatically different guys it is real you will be represented by your agent and that is the fight all these clients are running that is why agent came and that is why agent is hyped up at this time because your agent could be based on OpenAI or Gemini or Claude or whomsoever that is why they are talking about it and your agent will be working with you he has tagalongs right there back to you read from that

Audience

so my question is do you believe the future of stock brokerage industry will be an AI native from the ground up where AI agent can be the primary interface or you think AI will be just the feature in the stock brokerage platform

Vijay Shekhar Sharma

And I’m not saying that it is the perfect way to do it, but I’m saying that we are all in committed towards agent -first interfaces. Vijay, I have a follow -up question around this agent -first interfaces. So when an agent, on behalf of me, goes to the Uber app, will it see ads? Will it have to log in with Google? Well, nerd question. And for every one of you, the point that he’s trying to bring it is that will every other stack also change or not? Well, that is the beauty. The agent will talk to agent. Uber will also become an agent. And instead of trying to authenticate my login, et cetera, it’ll say I’m coming and I’m an agent on behalf of.

Just like your ambassadors used to say, I’m the king, I’m from his court. And he has sent this message. You take this VATS. You take this VATS. This is how it will be. I’m the king, I’m from Harinder Thakkar’s court. And he wants Uber. What kind of Uber do you want, VATS? They want such an Uber that can take them so fast. So I feel that at this time, you can throw so much money. So how will you want to pay? Will you want to do it with a token? Will you want to do it like that? Will you give it later? No, take this money. And you can call Uber. It will happen like this.

And this is real. I am telling you, you are laughing, I am laughing. One day someone said, I will stand here, and I will press the button, and the car will come. That day, he laughed at him. Before that, I will stand here, I will make a call, and I can talk to someone through the call. He laughed at that. Then, I will stand here, I will make a video, and my video will be in London, and he laughed at that. So all these technologies, which we natively, as normal as it happens, what kind of trick question it is, in near incremental future, the way this is going to be is so dramatically different, that those who are making apps, I have only one suggestion to them, that make an app with a non -icon based interface.

Yes,

Audience

One question here is, for the students who are going through their degrees right now and not in the data tech AI space, in the functional domains like finance and accounting, like HR and so on and so forth. So what do those poor people do? How do they think? Because, you know, how they are running through the education system, that’s old, that’s outdated, that’s still that. So what’s future for them?

Vijay Shekhar Sharma

So it’s a very interesting question. A lot of people tell me that, does it mean that we should study only, I mean, some days back we used to talk about we should teach programming to your kids. Like IIT preparation was done from class number five. It’s a joke, it’s a stretch joke, you can imagine what I’m trying to say. You came in class six, do IIT preparation. So by doing this, when people were born, they were given a programming language book with a book. So that will end, right? Because you have no more programming. So we are in a flux. Yes, ma ‘am. as we speak in 24, 25, 26. Okay, 24 mein kuch kam log the, 25 mein logon ko laga, 26 mein most of us will go through.

Your question has come in 26. This question did exist in 24. And there it goes, that we will remain in a flux to decide whether this is needed or not. Some will do it out of their intent and commitment to do it and learn, and some will do it for obligation. The fact that we always assumed that education will give us a job, and now the job is disappearing, so uncomfort is that, do you do it out of your vocation and interest and passion, or you do it for the outcome of a job? If you’re doing it for the outcome of a job, I’m not skilled enough in, let’s say, humanities or art, but I can produce an art which is sounding logical.

One of my teammates who was roaming around in Kerala and wanted to figure out what is a good Ayurveda outcome that he wanted to seek for some problem, and he just used Claude to generate questions and nuances and formulas and so on, and then he went to the… Kerala labs and then they were like haan ye toh bahut achha hai, aapne kaise socha, ye toh bahut acha soch ke laay ho. Now the poor fellow doesn’t even know that he does not have a skill of Ayurveda. And he’s talking to the super skill of Ayurveda as if that person is skilled. So now there goes this question. Did you need Ayurveda education to become that intelligent?

Answer is not necessarily. You were able to use the tool of AI. So to the person whosoever it is, whether it is a programming language and computer science student or whether it is a humanities student, I’m not going to say don’t do that what you’re doing. I’d rather say definitely learn how to use jaisa ek time kotha na, computer seekhlo bete, uski bhot kaam ainge. So ussi tarike se main bolna chahta ho. Leverage and make your work AI first as much more because you will be relevant. And this is not a question of these people who are right now graduating because there is something that will remain for some more time. If you think about 2030 onward when this is all prevalent.

Ab jaisa painting hoti thi, aapne dekha hoga shole ka jo studio ka jo poster bana karta tha, wo haat se banaye tha. And making posters, in Bombay, there used to be an art. Studios, posters of Mahbub studio and RK studio are called legendary. Now where are they? And they are made in a spot like this. And Ghibli art is made like this, you make this. So the point is that, does it mean we don’t need a new cartoonist? But we will need one who is making with a computer. And he will say, I want this kind of nuance, it will become an art fashion. So if the today’s artist only uses, let’s say, paint, then it will be so unique and rare that that person will have its own value.

My God, handmade art. Like today, there is a tradition of cold hand pressed oil. Which was very popular at one time, that you are not doing industrialization. Oh my God, this is perfectly hand pressed juice to you. It is made with a jug of sugar cane juice. So that is it

Audience

Thank you, Vijay. Fantastic and energetic talk. Thank you. So, a little while ago, you told me that LLM, Foundation Model, should be done. Yes, sir. And the thing is, both while making a foundation model and during the inference, actually a lot of data is needed. And just like in the finance industry, actually, there is a lot of regulation and this will keep coming. Actually, in such a constrained data environment, how do you kind of make a good LLM and inference time? So, let’s say this could be applicable on any industry, that this industry does not have a lot of data. How do we make a good LLM of that industry?

Vijay Shekhar Sharma

Short answer is that you work with that industry players, whether it is regulated or not. I apply for everyone. And you find out all stakeholders and pursue them to learn what you could bring on the table. And people understand the need of it. If not all, some will. And in my opinion, the training model and the why are you training it, if you are able to articulate it well, I mean, the process. Progress, even progress is a very interesting thing. People. the regulation is not for not progress. Regulation is for not what it can slide and fall. So remember, regulation is also for progress. And that is always the case. Regulators are the reason that we have such vibrant financial system in this country.

At the same point of time, what they protect us from is that not falling apart of the system. So there is a respect and value of what they do. And if you talk to different industry stakeholders, you will get access to the insights and data. And there are different regulators starting from their sandbox programs and so on. So they allow it. And I think I’ll just add one more thing. Data, just double click into that data. There is only some kinds of data, like my personal information, that is usually something that you do not want. The regulator doesn’t want, you don’t want. But outside of that, there is plenty. There is plenty.

Audience

Yes. So as you mentioned about AI and all these things forthcoming with the Uber, the IFPS interface, do you think that… growing as AI will be growing fast and forth there will be more inequality or will it remove inequality in terms of will power get sustained in few hands

Vijay Shekhar Sharma

perfect this is a very interesting question inequality I can take it from money perspective because inequality from other perspective I am not taking it AI for the first time is one of that technology that will be easier to use for everyone because you are talking in native language and you can speak even if you do not know how to type or write so it’s a very inclusive technology for itself and its outcome is very profoundly powerful that a rich person or a able person so let’s say that you are trying to fight a battle of certain skill or ability which are rich in terms of money or able in terms of skill you can very comfortably write this person so AI is that horse or super car or a rocket ship that you can ride easily and then you can go ahead of anybody in a zero sum business if you are in a wholesome business you can expand yourself So AI not only is inclusive, AI is actually the superpower that would reduce the gap between rich and poor and be more inclusive.

And that is what I’m trying to say, that it is not the technology of rich. Rich has a fear. You must have seen, you must have read something on social media, that parents should be given education and old should be given health and women should be given beauty. Such business models are written on social media. So there is a model written in it. I want to say that it is written for the rich to give them safety. Because rich has done this. They want safety, security, exclusivity. Why? Because they don’t want others to take away that what they have. So they want to stay disconnected from the world. That’s why rich’s lounge is different from the normal people’s lounge.

Audience

But sir, having said so, there is also a risk with AI, which we are underestimating at this point of time. So what do you think could be that potential thing?

Vijay Shekhar Sharma

I think risk is in driving the car and coming here. And also in using the phone. so risk I will not say how much risk how much not this gauge is more important the generic line that it is risk is not complete line it could be that is it a risk that every common person can take care for example like kids are not allowed to cross the road alone but as an adult you are expected to cross the road alone and there is a risk that’s why you are supposed to do the left and right check and so on so AI surprisingly is that less level of risky that even a commoner could do it that’s what I am trying to say yes yes ma my model my model is right now in the beta and we are using it and just like she mentioned very nice your infectious enthusiasm to drive this technology that’s very commendable thank you thank you so much for that and you are at the driving state so to speak thank you so like like she mentioned my always my concern is about how to solve this distribution problem of AI of AI like cool No, the problem was… And how to make it a public good.

Yeah, that’s right. I really didn’t like that concept. I think I want to tell you that technology distribution happens on a terminal. So as you remember, there was a time when computer used to not be with people. Laptop was not with people. And the smartphone was not with people. So governments used to give free laptop, free computer program. Then some free smartphone and tablet program also came. Politicians put it in the well wishes of different states. I think anyone who has a compute terminal internet connected, which is said to be a data positive country in India, everyone has access to it. So if you have access to a computing device with internet connection, you’ve got full AI access.

The good thing is it is not installed in your device. It is not a version of a software in your device. It is not requiring high amount of compute or memory or something on the device. I mean, we created an AI sound box, which is a very natively small device. And it is as capable. As even as somebody else’s, Sam Altman’s computer device. That is the beauty. about it. So AI is far more inclusive and very easy to diffuse. I’m glad to hear that you being in the driving seat, think it as a problem. That’s very nice.

Audience

And I have one more thing about this Asantic AI. It has this very human trait of trying to please you.

Vijay Shekhar Sharma

Yeah, because they were written to be written like this. Oh, you are here about asking about this thing. I think you should see left and right. Actually, agents are they’re not human agents. They are no they’re untrained beast of abilities. You prefix them and they behave like that. And it is literally an instruction. So risk, just like ma ‘am was asking, what risk can there be if someone says behind you always let him do this. You know, that kind of

Audience

Yeah, yeah. So PTMS played a very important role in diffusing the fintech to the mass. So what is the plan for diffusing AI to our country?

Vijay Shekhar Sharma

I think fundamentally I looked at it that you diffuse it to the consumers or do you diffuse it to the small businesses? Consumers -wise, I think it is tough to fight these three, four gorillas that you are seeing. So I started to work towards small businesses AI or small merchant AI So the vegetable vendor should know that when he goes in the morning, he says, brother, these days tomatoes are coming. But tomatoes will get spoiled because it is going to rain. So you bring tindas, bring potatoes. So from here, the knowledge from the core of small businesses, what should they do in the business, to the problem like, why didn’t I get money? Who cut the money?

And will I get a loan or not? The question and answer we don’t get from anyone, and they try to do it on the phone call, that scale is not possible. And then the person, individuals, it is not possible even in a very sophisticated computing system, the level that AI brings. So here we are, we are building. India’s AI for small and micro, small and micro merchants and distributing it through them. So, my belief is that big people will be helped by big people. Small people will be helped by us.

Audience

Sir, there is one more question. Thank you. AI sound box. Sir, actually, our education system that is designed for industrial era. So, what do you think like in AI era, do we still need to follow this education system because in AI…

Vijay Shekhar Sharma

Look, opinion on education system… My father is a teacher, so I won’t give it to him because my father will beat me up and I will do it from a distance. So, I don’t understand that you haven’t understood it yet. You didn’t study in class. I was a topper, by the way. Class. Just in case. That’s when I was beaten. I think this question of what is a good education system will evolve as an answer in next five years further ahead. We are literally in the beginning of… In other words, you land at the airport right now and ask, do you have Indian food here? Go to the city, stay for two days, then ask where the Indian food is.

So it is a problem to be solved. It will and it will evolve much later. Yes, your question. Oh no, no, the lady in the back, sorry. This is the visual identity goes through that. Are you a doctor? Oh, it looks like.

Audience

I have a question. What is the one thing that will never allow AI to perform in payments domain? Specifically in the payments domain.

Vijay Shekhar Sharma

Oh, easy. You would not want it to have full control of your bank account and make payments. Because if it does some stupid thing, you have allowed it. It’s like saying, we will not give our standing and Ram Rajan. Do you understand? Do what you think is right. We will not do that. So full control should never be given to your bank account. This is the thing.

Audience

But if we go a little deeper into technical ways when we are talking about ISO. Or 2022 or maybe RTR. payments, whatever. I really liked that you’re talking about nerds. But because of this technology, the payment didn’t increase. We made it IP guys. So you’re a very old technology person. Actually, sir, I have a job in Canada. You won’t believe, RTR is going to come there. In Canada, they’re going to be front -line and they’re going to be Mr. Stargazer. So I feel very proud there. They say that I’m from India and we use Paytm. So kudos. Thank you so much. Thank you so much, sir. Thank you. Namaste, sir. So my question is this.

What is the minimum…

Vijay Shekhar Sharma

I’m serious, man. I love you guys. The problem with Gen Z is that you have to think a little. Oh my God. I should ask this guy. This is the risk. Because if he says something like this one day, go home and fight, then you leave this friend. Then he won’t believe the whole thing. Look, before us, Gen Z people used to say, they’re on the computer, they’re on the screen, they don’t go out to play. They don’t go out. They don’t read the newspaper. Go to the beach. Go there. Go out. So we were told this. Now we’ll tell you. What are you doing? You’re taking all the questions like this. Use your brain.

But your t -shirt will be, I don’t use my brain, I use tokens.

Harinder Takhar

Sir, one more question.

Vijay Shekhar Sharma

I will do a quick question. I will make a question out of four questions and answer it. Okay, okay.

Audience

Sir, what is the minimum effective strategy a tier 3, 4 student can follow so that he can do very well in AI? Tier 3, 4 students. Tier 3 or tier 4 students.

Vijay Shekhar Sharma

Tier 3 or tier 4 students. What does tier mean? Class 3 class? No, no, sir. City? Yes, city, city. Like rural area. Okay, okay. I am also tier 3 from Aligarh. So what they can do so that they can do very good in AI and opportunities. I got it. Basically you are trying to say what to do if you have a student there. What is your question? Go ahead. How do you say it? Farms become cleaner. Air becomes cleaner. Productive becomes dreamer. what will be left for labor market? Oh, this was a very earlier question. I had raised my hand. So, he is saying, when farms become greener, air becomes cleaner, productivity becomes heavier, what will we be doing?

Okay, I got it.

Audience

Do you see AI as a leveler in a fintech segment and how will you compete with your peers if they are also adopting AI and AGI?

Vijay Shekhar Sharma

No problem. I get it. Okay. Any other questions? I’ll answer these things. Go ahead. If you can speak, I will look. Sure. Go ahead.

Audience

So, I would like to ask one thing that I would like to fall back on your point that you said that agents will do the talking for us, humans. So, I have seen…

Vijay Shekhar Sharma

How will I talk? Okay, go ahead. No, no. That’s a different question entirely.

Audience

My question is that the agents have started forming their own websites. If you search…

Vijay Shekhar Sharma

Yeah. So, what is the question that you have?

Audience

I have the question that can… How can this economy succeed that can we integrate agents in the human economy that we have currently?

Vijay Shekhar Sharma

Okay, perfect. Okay. So the inherent question of tier 3 school kid is, which is the problem of every one of us to believe that whether it will be inclusive or not. I have a very simple answer to give. You consider this, like for using the internet, for using the computer, you had to get a QWERTY keyboard and then you had to learn programming. So in AI, just try to get all your work done with AI. And then leverage it as an extension of what your education allows. If you study engineering, if you study art, then you should ask, tell me the comparison between Shakespeare’s English and what was in India going on in that time and how were they writing in Hindi.

Ask the questions and enhance your curiosity as a student. You could be in tier 3, you could be in tier 1 city. But the curiosity and then fulfilment. Filling it using AI will give you the superpower that nobody will have. it so enhance your curiosity because you have access to AI no more questions please yeah and your question was on labor market so the labor market is very simple I don’t think the labor stands for less labor for all of us are also labor and I’m not treating just the physical labor as a labor so the the AI’s ability is that whatever is digital it can perform it superiorly so now imagine is you are you tactically doing exactly what the keyboard typing is or are you also thinking and doing something that you are asking this so you become more productive and the work market becomes even more richer and fulfilling for you so your job will become fulfilling and the businesses will be able to expand the places where the otherwise could have not expanded so subcassad subcassad thank you thank you and please exit from the left Thank you.

Thank you. Thank you. Thank you.

V

Vijay Shekhar Sharma

Speech speed

188 words per minute

Speech length

7835 words

Speech time

2490 seconds

AI boosts productivity and GDP growth

Explanation

Sharma claims that AI will raise per‑person productivity, which will translate into higher GDP growth for India.


Evidence

“So GDP growth will automatically come in a different size because the productivity per person will be higher.” [1]. “Now, if you believe that you can build a business model, or entrepreneurs will build a business model as a customer, you use AI first products, the productivity will be dramatically higher.” [3].


Major discussion point

AI as catalyst for India’s economic growth


Topics

The digital economy | Artificial intelligence


India must build its own foundation models

Explanation

Sharma argues that India needs home‑grown foundation models to ensure cultural relevance, sovereignty and to avoid dependence on foreign AI systems.


Evidence

“So in my opinion, India has to build a foundation model.” [21]. “the advantage of India financial or made in India sovereign model will be that the amount of… nuance and biases that happen” [31].


Major discussion point

Necessity of building Indian foundation models


Topics

Artificial intelligence | The enabling environment for digital development


AI can eliminate bias and expand financial inclusion

Explanation

Sharma says that AI‑driven decision‑making can remove unknown biases in financial systems, thereby widening inclusion for low‑income users.


Evidence

“So you are saying that when you make a financial decision, when financial industry or system makes a decision, there may be unknown known biases and the unknown biases can be removed even if you want to keep the known biases.” [85]. “when you ask a machine to make that decision, you actually remove those biases.” [86].


Major discussion point

Bias, inclusivity, and inequality


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society


AI enables personalized healthcare and monitoring

Explanation

Sharma highlights that AI can provide nuanced, personalized care that would be impossible without advanced digital assistance.


Evidence

“Now, that possibility, the kind of nuanced care that I’m talking about, couldn’t have been possible without a doctor support.” [55].


Major discussion point

Sector‑specific AI applications


Topics

Social and economic development | Artificial intelligence


AI augments education while preserving social experience

Explanation

Sharma stresses that AI will support learning but schools and colleges remain essential for social interaction and personal growth.


Evidence

“School is not just education, also the social experience, and we’ve all benefited from that.” [58]. “Rather, college is a social experience of meeting like‑minded people and understanding and self‑discovering beyond the syllabus in the class.” [60].


Major discussion point

Sector‑specific AI applications


Topics

Social and economic development | Capacity development


Full autonomous control of bank accounts should be avoided

Explanation

Sharma warns that AI should not be given unrestricted authority over banking transactions; core banking functions must remain under human oversight.


Evidence

“So full control should never be given to your bank account.” [66]. “You would not want it to have full control of your bank account and make payments.” [68].


Major discussion point

Sector‑specific AI applications


Topics

The digital economy | Human rights and the ethical dimensions of the information society


AI agents as primary interface for stock‑brokerage platforms

Explanation

Sharma envisions a future where AI agents replace traditional user interfaces in stock‑brokerage, acting as the main point of interaction.


Evidence

“future of stock brokerage industry will be an AI native from the ground up where AI agent can be the primary interface” [75].


Major discussion point

Future of AI agents and interfaces


Topics

Artificial intelligence | The digital economy


Shift to agent‑first interactions

Explanation

Sharma states that the ecosystem will move toward interfaces where autonomous agents communicate with each other rather than with humans directly.


Evidence

“we are all in committed towards agent -first interfaces.” [91]. “The agent will talk to agent.” [82].


Major discussion point

Future of AI agents and interfaces


Topics

Artificial intelligence


Agents may replace traditional UI in services like ride‑hailing

Explanation

Sharma predicts that services such as Uber will evolve to be driven by AI agents, removing conventional user interfaces.


Evidence

“Uber will also become an agent.” [77].


Major discussion point

Future of AI agents and interfaces


Topics

Artificial intelligence | The digital economy


Diffusion of AI to small merchants and micro‑businesses

Explanation

Sharma emphasizes that AI should be made accessible to micro‑entrepreneurs through low‑compute devices and cloud services.


Evidence

“India’s AI for small and micro, small and micro merchants and distributing it through them.” [19]. “So I started to work towards small businesses AI or small merchant AI So the vegetable vendor should know that when he goes in the morning, he says, brother, these days tomatoes are coming.” [100].


Major discussion point

Democratization and distribution of AI


Topics

Artificial intelligence | Closing all digital divides | The digital economy


Empowering Tier‑3/4 students with AI tools

Explanation

Sharma notes that students from tier‑3 and tier‑4 backgrounds can leverage AI to boost productivity and learning outcomes.


Evidence

“Tier 3 or tier 4 students.” [103]. “I am also tier 3 from Aligarh.” [105].


Major discussion point

Democratization and distribution of AI


Topics

Capacity development | Closing all digital divides


AI carries safety risks comparable to driving a car

Explanation

Sharma likens AI’s potential hazards to those of driving, arguing that autonomous control—especially over payments—must be limited.


Evidence

“I think risk is in driving the car and coming here.” [108]. “So full control should never be given to your bank account.” [66].


Major discussion point

Risks and ethical considerations


Topics

Human rights and the ethical dimensions of the information society | Building confidence and security in the use of ICTs


H

Harinder Takhar

Speech speed

185 words per minute

Speech length

269 words

Speech time

87 seconds

AI enables inclusive, personalized access across sectors

Explanation

Takhar observes that AI provides greater and more personalized access in finance, healthcare and education.


Evidence

“But I do find an interesting theme across finance, healthcare, education, that it allows you to have more access and more personalized access.” [16].


Major discussion point

AI as catalyst for India’s economic growth


Topics

Artificial intelligence | Closing all digital divides


A

Audience

Speech speed

174 words per minute

Speech length

1285 words

Speech time

441 seconds

Vertical, domain‑specific foundation models are needed

Explanation

Audience members argue that building several smaller, vertical models is more practical than a single massive foundation model.


Evidence

“So there are many vertical solutions that we can build a specific use case.” [36]. “instead of talking about 200 billion token model we would be making four or five billion token model or 20 billion token just in case like we should open the questionnaire from the audience also because some of you may have… good vertical problems to solve” [37].


Major discussion point

Necessity of building Indian foundation models


Topics

Artificial intelligence | The enabling environment for digital development


AI can provide decision support for agriculture

Explanation

Audience members suggest AI can help farmers with cleaner farms and better tracking.


Evidence

“Farms become cleaner.” [52]. “And then now I leverage the power of AI to keep a track, including she has a Fitbit that generates a feed that goes to my agent.” [53].


Major discussion point

Sector‑specific AI applications


Topics

Social and economic development | Artificial intelligence


AI poses underestimated risks

Explanation

Audience raises concern that the risks associated with AI are being under‑estimated.


Evidence

“But sir, having said so, there is also a risk with AI, which we are underestimating at this point of time.” [76].


Major discussion point

Risks and ethical considerations


Topics

Human rights and the ethical dimensions of the information society | Building confidence and security in the use of ICTs


AI can remove biases in financial decision‑making

Explanation

Audience believes that AI can help eliminate existing biases in financial systems, enhancing inclusion.


Evidence

“I think that the best favor or the best value we can add is to remove biases in decision making that we already see in our financial system, which are actually a complete antithesis to the whole inclusion aim that we all have.” [47].


Major discussion point

Bias, inclusivity, and inequality


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society


Agreements

Agreement points

AI enables personalized and accessible services across multiple domains

Speakers

– Vijay Shekhar Sharma
– Harinder Takhar

Arguments

AI will enable financial inclusion by providing sophisticated wealth management advice to common people in their native language


AI enables more personalized access to healthcare, education, and financial services


Summary

Both speakers agree that AI’s key benefit is providing personalized, accessible services that were previously available only to wealthy or privileged individuals, democratizing access to quality healthcare, education, and financial advice


Topics

Artificial intelligence | Closing all digital divides | Social and economic development


Specialized AI models are more practical than general-purpose models for specific industries

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

Focus should be on building AI solutions for small businesses and merchants rather than competing with large consumer-focused companies


Vertical-specific models for finance, agriculture, and other domains are more practical than horizontal general models


Summary

There is consensus that building targeted, vertical-specific AI models for particular industries and use cases is more effective than attempting to create massive general-purpose models


Topics

Artificial intelligence | The digital economy | Social and economic development


AI should enhance rather than replace existing education and institutions

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

Schools and banks will evolve rather than become redundant, as they provide social and regulatory functions beyond their core services


Students should learn to use AI as a tool to enhance their existing education rather than replace it


The education system designed for the industrial era needs to evolve for the AI era


Summary

All speakers agree that AI should be used to enhance and transform existing educational and institutional systems rather than completely replacing them, recognizing the social and regulatory functions these institutions serve


Topics

Artificial intelligence | Social and economic development | Capacity development


AI can reduce biases and increase inclusion in financial services

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

AI will enable financial inclusion by providing sophisticated wealth management advice to common people in their native language


AI can remove biases in financial decision-making, particularly in loan approvals and transaction processing


Summary

Both perspectives align on AI’s potential to make financial services more inclusive by removing human biases and providing sophisticated financial advice to underserved populations


Topics

Artificial intelligence | The digital economy | Human rights and the ethical dimensions of the information society


Similar viewpoints

AI technology is inherently accessible and can bridge geographic and economic divides, allowing people in smaller cities or with fewer resources to access the same powerful capabilities as those in major metropolitan areas

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

AI is inherently inclusive technology that can be accessed by anyone with a smartphone and internet connection


Tier 3 and tier 4 students can leverage AI by enhancing their curiosity and using it to supplement their education


Topics

Artificial intelligence | Closing all digital divides | Capacity development


The future of digital interaction will be fundamentally different from current app-based models, moving toward more personalized, agent-mediated experiences that provide tailored services

Speakers

– Vijay Shekhar Sharma
– Harinder Takhar

Arguments

The future will be agent-first interfaces rather than traditional app-based interactions


AI enables more personalized access to healthcare, education, and financial services


Topics

Artificial intelligence | The digital economy | Information and communication technologies for development


Unexpected consensus

Need for India to build sovereign AI models despite global competition

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

India must build its own foundation models as an obligation to move up the value chain from services culture


Indian models are necessary to preserve cultural knowledge and remove Western biases that exist in international models


Vertical-specific models for finance, agriculture, and other domains are more practical than horizontal general models


Explanation

Despite acknowledging the significant costs and technical challenges, there is unexpected strong consensus that India must invest in building its own AI models for cultural preservation and technological sovereignty, rather than relying on international models


Topics

Artificial intelligence | The enabling environment for digital development | Social and economic development


AI will not lead to mass unemployment but will transform work

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

Traditional work will evolve into more productive AI-enabled work, with bottlenecks shifting rather than disappearing


AI will dramatically increase productivity per person, allowing businesses to scale and contribute to GDP growth


Students should learn to use AI as a tool to enhance their existing education rather than replace it


Explanation

Despite common fears about AI causing mass unemployment, there is unexpected consensus that AI will transform rather than eliminate work, with speakers agreeing that productivity gains will create new opportunities rather than widespread job losses


Topics

Artificial intelligence | The digital economy | Social and economic development


Overall assessment

Summary

The discussion reveals strong consensus on AI’s transformative potential for India, with agreement on the need for indigenous AI development, the importance of making AI inclusive and accessible, and the view that AI should enhance rather than replace existing systems and human capabilities


Consensus level

High level of consensus with significant implications for India’s AI strategy – speakers agree on building sovereign AI capabilities, focusing on vertical applications, ensuring inclusive access, and using AI to enhance rather than replace human institutions and capabilities


Differences

Different viewpoints

Whether to build horizontal general-purpose foundation models or vertical-specific models

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

India must build a foundation model. This is no compromise statement. Not because that we can make a better financial foundation model or not, but because we as country have to move on from services culture.


Vertical-specific models for finance, agriculture, and other domains are more practical than horizontal general models


Summary

Sharma advocates for building comprehensive foundation models as a matter of national obligation to move up the value chain, while audience members argue for more practical vertical-specific models with fewer parameters that solve targeted industry problems.


Topics

Artificial intelligence | The enabling environment for digital development | Social and economic development


Whether traditional institutions like banks and schools will become redundant

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

Banks will remain relevant for core functions like credit and deposits, but service delivery methods will evolve


The whole banking system will become redundant? Because today if I have to make a transaction, I’ll use Paytm. If I have to invest, I’ll use Paytm or a Zerodha. So why is the banks existing?


Summary

Sharma argues that core banking functions remain essential and institutions will evolve rather than disappear, while audience members question whether traditional institutions are becoming obsolete due to digital alternatives.


Topics

The digital economy | Social and economic development | Artificial intelligence


Unexpected differences

The necessity and feasibility of building foundation models in India

Speakers

– Vijay Shekhar Sharma
– Harinder Takhar

Arguments

India must build a foundation model. This is no compromise statement


We often hear, mostly on Twitter or from these large foundation model companies, that if you don’t have 10,000 crores, why are you even in this place?


Explanation

This disagreement is unexpected because Takhar, as the moderator, challenges Sharma’s strong advocacy for building foundation models by raising the commonly cited cost barriers, suggesting skepticism about the financial feasibility despite being in a supportive interviewer role.


Topics

Artificial intelligence | Financial mechanisms | The enabling environment for digital development


Overall assessment

Summary

The discussion shows moderate disagreement primarily around implementation strategies rather than fundamental goals. Most disagreements center on whether to build comprehensive vs. specialized AI solutions, and whether traditional institutions will evolve or become obsolete.


Disagreement level

The disagreement level is moderate and constructive, with speakers generally aligned on AI’s transformative potential but differing on specific approaches. This suggests healthy debate about implementation strategies rather than fundamental opposition to AI adoption, which could lead to more nuanced and practical solutions.


Partial agreements

Partial agreements

Both agree that AI can improve financial services and reduce biases, but they approach it differently – Sharma focuses on democratizing wealth management for common people, while audience members emphasize removing systemic biases in decision-making processes.

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

AI can remove biases in financial decision-making, particularly in loan approvals and transaction processing


AI will enable financial inclusion by providing sophisticated wealth management advice to common people in their native language


Topics

Artificial intelligence | The digital economy | Human rights and the ethical dimensions of the information society


Both recognize that education needs to adapt to the AI era, but disagree on the extent of change needed – Sharma advocates for using AI to enhance current education, while audience members question whether the entire industrial-era education system needs fundamental restructuring.

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

Students should learn to use AI as a tool to enhance their existing education rather than replace it


The education system designed for the industrial era needs to evolve for the AI era


Topics

Social and economic development | Capacity development | Artificial intelligence


Similar viewpoints

AI technology is inherently accessible and can bridge geographic and economic divides, allowing people in smaller cities or with fewer resources to access the same powerful capabilities as those in major metropolitan areas

Speakers

– Vijay Shekhar Sharma
– Audience

Arguments

AI is inherently inclusive technology that can be accessed by anyone with a smartphone and internet connection


Tier 3 and tier 4 students can leverage AI by enhancing their curiosity and using it to supplement their education


Topics

Artificial intelligence | Closing all digital divides | Capacity development


The future of digital interaction will be fundamentally different from current app-based models, moving toward more personalized, agent-mediated experiences that provide tailored services

Speakers

– Vijay Shekhar Sharma
– Harinder Takhar

Arguments

The future will be agent-first interfaces rather than traditional app-based interactions


AI enables more personalized access to healthcare, education, and financial services


Topics

Artificial intelligence | The digital economy | Information and communication technologies for development


Takeaways

Key takeaways

AI will transform India into a global AI-dominant nation by dramatically increasing productivity per person, enabling businesses to scale (e.g., a shopkeeper running multiple shops), leading to significant GDP growth from the current 2.5-3.5 trillion to potentially 5+ trillion economy


India must build its own foundation models to preserve cultural knowledge, remove Western biases, and move up the value chain from services culture – this is described as an obligation, not optional


AI will be inherently inclusive and reduce inequality because it operates through native language interaction, making sophisticated services accessible to common people (auto-rickshaw drivers getting wealth management advice, farmers getting agricultural insights)


Traditional institutions like banks and schools will evolve rather than become redundant – banks will maintain core functions of deposits and credit while changing service delivery methods, schools will continue providing social experiences beyond education


The future will be agent-first interfaces where AI agents represent individuals and interact with other agents, fundamentally changing how we access services (agents booking Uber, handling transactions)


AI applications in finance will remove decision-making biases, enable personalized financial inclusion, and provide sophisticated services in native languages to previously underserved populations


Students and workers should learn to use AI as a productivity enhancement tool rather than replacement, with focus on enhancing curiosity and leveraging AI to supplement existing skills and education


Resolutions and action items

Paytm is building AI models focused on small and micro merchants rather than competing with large consumer-focused companies


Paytm has created an AI sound box device that provides AI capabilities to small businesses


Paytm is developing vertical-specific models for finance, agriculture, and other domains rather than horizontal general models


Recommendation for entrepreneurs to build business models assuming customers use AI-first products


Suggestion for students in tier 3/4 cities to enhance their curiosity and use AI to supplement their education across all subjects


Unresolved issues

How exactly the education system designed for the industrial era should evolve for the AI era – acknowledged as a problem to be solved over the next 5 years


Specific regulatory frameworks needed for AI applications in highly regulated industries like finance


How to effectively integrate AI agents into the current human-based economy


The timeline and practical implementation details for agent-to-agent interactions replacing current app-based interfaces


Balancing AI automation with maintaining human agency and control, particularly in sensitive areas like financial transactions


How to ensure AI models trained on limited Indian cultural content can adequately represent diverse Indian knowledge and traditions


Suggested compromises

AI should enhance rather than replace human capabilities – workers should become more productive rather than be displaced


AI should never have full control over sensitive areas like bank accounts and payments – humans should retain ultimate control


Focus on vertical-specific AI models (4-20 billion tokens) rather than competing directly with massive horizontal foundation models (200+ billion tokens)


Distribute AI benefits through small businesses and merchants rather than trying to compete directly with large tech companies in consumer markets


Use AI to supplement traditional education rather than completely replacing existing educational institutions and methods


Thought provoking comments

So I see it not as a job reduction. I see it as opportunity for India to create a global AI-dominant nation… So a person who was running a shop can run multiple shops. So GDP growth will automatically come in a different size because the productivity per person will be higher.

Speaker

Vijay Shekhar Sharma


Reason

This reframes the entire AI discourse from job displacement anxiety to productivity multiplication opportunity. The concrete example of a shopkeeper running multiple shops through AI makes the abstract concept tangible and optimistic.


Impact

This comment set the foundational tone for the entire discussion, shifting it from defensive concerns about AI replacing jobs to an offensive strategy of leveraging AI for national competitive advantage. It established the framework for viewing AI as an amplifier rather than a replacer.


India has to build a foundation model. This is no compromise statement. Not because that we can make a better financial foundation model or not, but because we as country have to move on from services culture… If we don’t make for it, our all compounded historical knowledge will be lacking in the next generation.

Speaker

Vijay Shekhar Sharma


Reason

This transforms the technical question of building AI models into a cultural preservation and national identity issue. The insight that without indigenous models, India’s cultural knowledge won’t be passed to future generations is profound.


Impact

This comment elevated the discussion from technical feasibility to civilizational necessity, making the case for Indian AI development not just economically but culturally imperative. It shifted the conversation from ‘should we?’ to ‘how must we?’


I think that the best favor or the best value we can add is to remove biases in decision making that we already see in our financial system… when you ask a machine to make that decision, you actually remove those biases.

Speaker

Audience member


Reason

This insight reveals AI’s potential to address systemic inequities in financial services – a perspective that goes beyond efficiency gains to social justice. It’s counterintuitive since AI is often criticized for perpetuating biases.


Impact

This comment redirected the discussion toward AI’s democratizing potential in finance, leading to deeper exploration of how AI could enable financial inclusion for underserved populations like auto-rickshaw drivers seeking investment advice.


So do you think the whole banking system will become redundant? Because today if I have to make a transaction, I’ll use Paytm… And second thing is, is education, school is going to become redundant because what they’re learning is going to be not valid?

Speaker

Audience member


Reason

This question cuts to the heart of institutional disruption, challenging the fundamental need for traditional structures in an AI-driven world. It forces examination of what core value institutions provide beyond their current functions.


Impact

This provocative question forced a nuanced discussion about the difference between institutional functions (banking, education) versus their delivery mechanisms (branches, classrooms). It led to the restaurant analogy and deeper exploration of what remains irreplaceably human.


Your agent will call you first Uber… your agent will be working with you… The agent will talk to agent. Uber will also become an agent… Just like your ambassadors used to say, I’m the king, I’m from his court.

Speaker

Vijay Shekhar Sharma


Reason

This vivid metaphor of AI agents as digital ambassadors conducting business on our behalf provides a concrete vision of how human-AI interaction will evolve. The historical parallel makes a futuristic concept immediately understandable.


Impact

This comment opened up an entirely new thread about agent-to-agent interactions, leading to technical questions about authentication, advertising, and the fundamental restructuring of digital interfaces. It made the abstract concept of AI agents tangible and sparked practical implementation questions.


AI for the first time is one of that technology that will be easier to use for everyone because you are talking in native language and you can speak even if you do not know how to type or write… AI is actually the superpower that would reduce the gap between rich and poor and be more inclusive.

Speaker

Vijay Shekhar Sharma


Reason

This insight challenges the common assumption that advanced technology increases inequality. The observation that AI’s natural language interface makes it uniquely accessible is a powerful counterargument to digital divide concerns.


Impact

This comment reframed the inequality discussion, leading to exploration of AI as a democratizing force rather than a concentrating one. It shifted the conversation from protecting against AI’s risks to leveraging its inclusive potential.


Overall assessment

These key comments transformed what could have been a typical AI hype discussion into a nuanced exploration of civilizational transformation. Sharma’s opening productivity-focused framing set an optimistic tone that permeated the entire conversation. The cultural preservation argument for indigenous AI models elevated technical decisions to matters of national identity. Audience questions about institutional redundancy forced deeper thinking about what remains essentially human versus what can be automated. The agent-as-ambassador metaphor made abstract AI futures concrete and actionable. Finally, the inequality discussion revealed AI’s unique potential as a democratizing rather than concentrating technology. Together, these comments created a discussion that was simultaneously visionary and practical, addressing both immediate implementation challenges and long-term societal implications.


Follow-up questions

Should we all make a foundation model in India? Should we make our own chips? Should we make our own applications?

Speaker

Harinder Takhar


Explanation

This addresses the strategic question of India’s AI infrastructure development and where to focus resources and efforts in the AI ecosystem.


If you don’t have 10,000 crores, why are you even in this place? What is your viewpoint on that?

Speaker

Harinder Takhar


Explanation

This challenges the common narrative about the high cost barriers to entering the foundation model space and seeks clarification on actual resource requirements.


What kind of LLM are we or you building when we talk about that there should be a model made in India?

Speaker

Vijay Shekhar Sharma


Explanation

This seeks to understand the specific type and scope of AI models that should be developed in India, whether vertical or horizontal solutions.


What kind of use cases you believe the LLMs will save or solve for the problems that you see in financial industry?

Speaker

Vijay Shekhar Sharma


Explanation

This explores specific applications of AI in finance and identifies concrete problem-solving opportunities in the financial sector.


Do you think the whole banking system will become redundant? Will schools become redundant because what they’re learning will not have a shelf life?

Speaker

Audience


Explanation

This addresses fundamental questions about institutional disruption and the future relevance of traditional systems in an AI-driven world.


Do you believe the future of stock brokerage industry will be an AI native from the ground up where AI agent can be the primary interface or will AI just be a feature?

Speaker

Audience


Explanation

This examines the depth of AI integration in financial services and whether it will be transformational or incremental.


When an agent goes to the Uber app on behalf of me, will it see ads? Will it have to log in with Google?

Speaker

Harinder Takhar


Explanation

This explores the technical and business model implications of agent-to-agent interactions and how existing digital infrastructure will adapt.


For students in functional domains like finance, accounting, HR – what do those people do? How do they think about their future?

Speaker

Audience


Explanation

This addresses the career implications for students in traditional fields and how they should adapt to an AI-driven job market.


In a constrained data environment with regulations, how do you make a good LLM for industries that don’t have a lot of accessible data?

Speaker

Audience


Explanation

This tackles the practical challenge of developing AI models in regulated industries where data access is limited.


Will AI create more inequality or remove inequality? Will power get concentrated in few hands?

Speaker

Audience


Explanation

This examines the societal implications of AI adoption and its impact on wealth and power distribution.


What could be the potential risks with AI that we are underestimating at this point?

Speaker

Audience


Explanation

This seeks to identify overlooked or underappreciated risks in AI deployment and adoption.


How to solve the distribution problem of AI and make it a public good?

Speaker

Audience


Explanation

This addresses the challenge of ensuring equitable access to AI benefits across different segments of society.


What is the one thing that will never allow AI to perform in payments domain?

Speaker

Audience


Explanation

This explores the fundamental limitations or constraints that will always require human oversight in financial transactions.


What is the minimum effective strategy a tier 3, 4 student can follow to do very well in AI?

Speaker

Audience


Explanation

This seeks practical guidance for students in smaller cities or rural areas to participate in the AI economy.


Do you see AI as a leveler in fintech and how will you compete with peers if they are also adopting AI?

Speaker

Audience


Explanation

This examines competitive dynamics when AI becomes ubiquitous and questions how differentiation will be achieved.


How can we integrate agents in the human economy that we have currently?

Speaker

Audience


Explanation

This addresses the practical challenges of incorporating AI agents into existing economic systems and structures.


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.