Keynote by Naveen Tewari Founder & CEO, inMobi India AI Impact Summit

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

Session at a glance

Summary

Naveen Tewari, founder of InMobi, delivered a keynote address focused on how artificial intelligence will fundamentally transform global commerce. He began by outlining three major ways AI will reshape society: extending human lifespans to potentially 120 years through medical advances, democratizing skills by eliminating inequality between different skill levels, and creating unprecedented economic prosperity through enhanced productivity. Tewari emphasized that when intelligence becomes democratized, it transforms entire ecosystems, particularly impacting how people shop, how supply chains operate, and how manufacturing works.

The core of his presentation centered on InMobi’s platform called Glance, which implements “agentic commerce” – a revolutionary approach that moves beyond personalized feeds to truly personal feeds tailored to individual consumers. This system involves training separate AI models for each user, with plans to create commerce models for a billion people over the coming years. The platform incorporates three key components: a commerce intelligence graph that understands all commerce elements globally, a generative AI experience model that creates visual outputs rather than just text, and individual user models trained on personal behavior patterns.

Tewari highlighted the concept of a “living context graph” that understands user context, price sensitivity, and brand preferences to optimize purchase paths across millions of potential buying scenarios. He emphasized transparency and accountability as core principles, promising to make the AI reasoning process open so users understand why specific products are recommended. The speaker projected that agentic commerce could impact $3 trillion of India’s economy by 2047, representing a transformative opportunity for the country to lead in AI-driven commerce innovation rather than following behind as it did with the internet revolution.

Keypoints

Major Discussion Points:

– AI’s Transformative Impact on Society: Tewari discusses how AI will fundamentally change human life through extended lifespans (potentially to 120 years), democratization of skills (eliminating inequality between skilled and unskilled workers), and unprecedented economic growth through increased productivity.

– The Evolution from Traditional to Agentic Commerce: The speaker explains how commerce is being revolutionized through AI, moving from personalized feeds to truly personal feeds, where individual commerce models are trained for each consumer, creating a more intelligent and individualized shopping experience.

– Glance Platform and Technical Architecture: Detailed explanation of InMobi’s Glance platform, which uses multiple AI models including a commerce intelligence graph, generative AI experience model, and individual user models to create personalized commerce experiences at scale for potentially billions of users.

– Systemic Changes Across the Commerce Ecosystem: Discussion of how agentic commerce will transform entire supply chains, lead to the decline of traditional marketplaces, empower individual and local brands, and create more efficient manufacturing through precise consumer signals.

– India’s Opportunity in the AI Era: Emphasis on India’s potential to lead in AI-driven commerce, with the opportunity to build global platforms from India and avoid being late adopters as they were with the internet revolution, while maintaining authenticity and transparency in AI development.

Overall Purpose:

The discussion serves as a keynote presentation aimed at inspiring the audience to embrace the transformative potential of AI in commerce. Tewari seeks to demonstrate how his company’s Glance platform represents a new paradigm in commerce while encouraging others to think audaciously about AI applications across various sectors.

Overall Tone:

The tone is consistently enthusiastic, visionary, and inspirational throughout the presentation. Tewari maintains an optimistic and ambitious outlook, expressing excitement about AI’s potential and his company’s role in the transformation. The tone becomes particularly energetic toward the end when he discusses the “audacious” nature of their plans and compares his current energy levels to those of his twenties, emphasizing the unprecedented opportunity that AI presents.

Speakers

– Naveen Tewari: Founder and CEO of InMobi (18 years of running/founding the company), expert in AI and commerce technology, building agentic commerce platform called Glance

– Speaker 1: Role appears to be event moderator/host (introducing speakers and managing the event flow)

Additional speakers:

– Vivek Mahajan: CTO of Fujitsu (mentioned as the next keynote speaker but did not speak in this transcript)

Full session report

Naveen Tewari, founder and CEO of InMobi, delivered a comprehensive keynote address outlining his vision for how artificial intelligence will transform global commerce through what he terms “agentic commerce.” His presentation covered AI’s broader societal implications, commerce-specific applications, and positioned India’s opportunity to lead this technological revolution.

AI’s Transformative Impact on Society

Tewari began by identifying three fundamental ways AI will reshape human existence. First, he suggested AI will extend human lifespans, stating there is “a very high probability” that people could live significantly longer through AI-driven medical advances. Second, and most provocatively, he argued that AI will eliminate skill-based inequality, using coding as an example: “five years from now you might actually see that there is no difference between a highly skilled engineer and a not-so-skilled engineer” as AI democratizes these capabilities. Third, he predicted unprecedented economic prosperity driven by massive productivity gains across all sectors, creating what he described as a more democratic way of living and fundamentally altering social and economic structures.

The Evolution to Agentic Commerce

Building on this transformation framework, Tewari focused on commerce as one of the most significant areas for AI-driven change. He emphasized the crucial distinction between “personalized” and “personal” commerce experiences. Traditional personalized systems make algorithmic assumptions about consumer preferences based on patterns, while personal feeds are created through individual AI models trained specifically on each consumer’s unique behaviors and contexts.

The technical ambition underlying this vision is substantial: Tewari announced plans to “train a commerce model for a billion people” over the coming years. This approach would create highly advanced commerce intelligence that brings unprecedented personalization to every aspect of the shopping journey.

Glance Platform and Technical Innovation

Tewari provided insights into InMobi’s Glance platform, which serves as the practical implementation of agentic commerce principles. The system employs a multi-model architecture comprising three core components: a commerce intelligence graph that understands every commerce element globally, a generative AI experience model that creates personalized visual content rather than text-based responses, and individual user models trained on each person’s unique behavioral patterns.

A key innovation is what Tewari called the “living context graph,” which understands not just what users generally prefer, but their specific context at any given moment. The platform also incorporates sophisticated price intelligence and, crucially, provides transparent reasoning engines that explain why specific products are recommended, addressing the “black box” problem that has plagued AI systems.

Market Transformation and Economic Impact

Tewari’s vision extends beyond individual consumer experiences to systematic changes across the entire commerce ecosystem. He predicted that agentic commerce will lead to the decline of traditional marketplace platforms, as AI agents will eliminate the discovery and aggregation advantages these platforms currently provide. In their place, he foresees the rise of individual brands and local producers gaining direct access to consumers through AI agents.

The transformation will also extend to manufacturing through “agentic manufacturing,” where intelligent consumer experiences generate highly accurate demand signals that enable unprecedented manufacturing efficiency. To quantify the potential impact, Tewari noted that commerce represents approximately 25% of global GDP, and projected that India alone could see $3 trillion in commerce value impacted by 2047.

India’s Strategic Opportunity

A significant portion of Tewari’s presentation focused on India’s unique opportunity to lead in AI-driven commerce transformation. He drew contrasts with the internet era, noting that India was “10 years late” in internet adoption, arriving after major platforms had already been established elsewhere. The AI revolution, however, presents a different scenario where India can build global AI platforms from the outset rather than adapting to systems developed elsewhere.

Tewari emphasized InMobi’s position as “the first company that became a unicorn” from India, and positioned the company’s approach as embodying this philosophy—building the Glance platform from Bangalore with the goal of impacting consumers worldwide and transforming global supply chains.

Philosophical Approach and Transparency

Tewari grounded his technological vision in principles of authenticity and transparency, briefly referencing the Sanskrit principle “Satyameva Jayate” (truth alone triumphs). This philosophical approach directly addresses criticisms of previous digital technologies and positions agentic commerce as an opportunity to develop AI systems that enhance human decision-making rather than manipulating it.

Call for Audacious Innovation

Tewari concluded with a passionate call for audacious thinking and ambitious innovation. He described the current AI moment as comparable to the internet revolution of the mid-1990s, suggesting we are at a similar inflection point where bold thinking can create transformative global platforms. He acknowledged that InMobi’s agentic commerce vision represents the most ambitious plan in the company’s 18-year history, and shared his personal excitement about the opportunity, mentioning he’s “back to my ways of working in my 20s.”

This call for audacity extends beyond his own company to encompass the broader Indian technology ecosystem, encouraging the audience to embrace similarly ambitious thinking across all sectors.

Conclusion

Tewari’s presentation painted a comprehensive picture of AI-driven transformation extending from individual consumer experiences to global economic restructuring. His vision of agentic commerce represents a fundamental reimagining of how commercial relationships function in an AI-enabled world, with India positioned to lead rather than follow in this transformation. The presentation concluded with the introduction of the next speaker, Vivek Mahajan from Fujitsu, continuing the discussion on artificial intelligence applications and implications.

Session transcript

Naveen Tewari

Truly speaking, what I will talk about today is how commerce is going to change in the world. Look, internet is, you know, AI is changing many things. It is redefining paradigms. What is so exciting about AI? Think about it, right? Think about, you know, how AI is going to expand lifespan. We all understand that, like, there is a very high probability that every one of us in this room would probably extend ourselves to 120 years because diseases would get, you know, eradicated very differently. Organs will get created differently, right? So there is a lifespan argument to be made. The second big argument to be made is, you know, we will live very differently because in the world, in the future, it is very hard to see inequality anymore.

You know, today there is an engineer who is very good at coding and then there is one who is not. That’s going to disappear. You know, by the time you get to the end of the day, you are going to be in a box. five years from now you might actually see every one of us across our country become super high quality coders and that’s just one example of a thing so you’re actually going to have you’re going to live very democratically very differently where you’re going to essentially see the skill equal the skill equality which would lead to a very different way of living for all of us and the third is is a very disproportionate rate of growth of economic prosperity because of all the factors that the level of productivity that gets added into the whole world you are going to see a very different level of productivity so yes AI is exciting and that’s why I’m pretty I presume all of you are here to to listen and to learn and to imbibe it what I would really talk about is how this how the world is truly shifting when it comes to commerce look the in in the world of commerce there is a completely new architecture also being written.

You know, when intelligence becomes democratic, it changes ecosystems. What does intelligence getting democratically involved in commerce mean? It means that it is going to impact how we shop, how supply chains work, how manufacturing works, how we think about every aspect of it. And so that is completely getting rewritten as we look at the world in the future. At InMobi, we were one of the first companies, we were actually the first company that became a unicorn. We take a lot of pride in that because we built a product company from India to the globe. We take a pride in it because we worked in, we work in deep tech. We now take pride in actually taking on a global problem.

We now take pride in actually looking at the world from how we can bring agentic commerce to the world. Now agentic commerce and our platform is called Glance. Glance is all about bringing agentic commerce in the world in a way that’s never been done before. We’re very proud of how rapidly bringing intelligence in that world is changing everything. You know if you think about the product that we have truly built, we are moving from a world of personalized you know feeds to personal feeds. What does a personal feed mean? Think about commerce. Commerce in the world has always been driven across you know what I may like. But today if you think about agentic commerce it is actually centered around you.

We built a platform that’s launched globally. Our model of agentic commerce is launched globally. And what you would see here is personal feeds of consumers getting created in real time with products on them. What you’re seeing is a single model gets trained on single consumers. We plan to train a commerce model for a billion people over the next several years. What it would do is it would bring intelligence into the journey of commerce for every one of us. That is a superlatively advanced way of thinking about commerce, and it is a superlatively advanced way of thinking about how every element of it would actually change. So if you think about this in a slightly more architectural manner, we have created multiple models that actually come together to essentially create this agentic experience.

We have what’s called the commerce intelligence graph. Think of it the knowledge graph. The fact that there has to be a model that needs to know everything about every commerce element in the world. The fact that this is a white shirt is a world knowledge. You have to understand it. Then you have what we have built is a generative AI experience model. In that model, if you see the example, we are effectively creating an output. If you look at all the answer engines today, the output is effectively a text output. But when you think about commerce, you have to think about a visual output. How do you create a personalized pamphlet or a feed that is just for you using intelligence?

That’s a generative experience that gets done. The generative experience, unlike in the answer engine, is specific to you. and that’s why the model has to be created at a user level, which is the third model where the user model gets trained on you as an individual. That training of the user model at an individual level is what differentiates the way one thinks about shopping from everything else out there. And so I feel very excited about what agentic commerce can do. The reason I feel very excited about it, if I could move this forward, I think it’s stuck. You know, you talk about agentic and then some of these smaller elements. Oh, that worked, it worked.

All right. One of the most important elements of the agentic commerce era is going to be a living context graph. A living commerce context graph, which basically understands your context, which context you are in, what are you looking for, what are you seeking in that moment. It also understands very different levels, different levels of price intelligence. think about today when you go for a when each one of us go out there and look to buy something, we think about buying and we search for ways in which we can buy it at the most efficient pricing you can actually put that into the model and it will find out the pathway for the most efficient buying for you, which is the purchase path optimization bases your context, bases your price sensitivity and the brand sensitivity and it can do this across millions and billions of potential pathways at the click of a button and it will do that for you at that level, that living context graph is very very powerful and our ability to navigate through that is what we are really trying to build the other thing about if you think about contextual agentic commerce you know, Prime Minister talked about the man of vision What is it?

It is about being transparent and accountable and human centric. Shopping has not been considered accountable. It is seen as some people selling you things. But with agentic commerce coming in, we have an opportunity to convert the whole experience of commerce to be very transparent and very accountable. What does that mean? It means that we would certainly be opening up our model and making it transparent. In the world of AI, the reasoning engine will become transparent so that everybody can understand why you were shown or recommended a certain product. And that understanding of why is what creates transparency. And therefore, one of our big ethos is to make this very, very transparent and lead with a very different perspective of, of building trust in the era of.

agentic commerce. We also think about the fact that the consumer intelligence as that rises, the consumer intelligence brings hordes of efficiency, hordes of efficiency because billions of people will be making intelligent decisions going forward. Today think about the amount of money wasted at a consumer level as you go down your commerce journey. If you use agentic commerce in your life going forward and Glance does that for you, the amount of intelligence brought into the decision -making leads to significant savings which basically come back into the economy and then that leads to a flywheel which is very very powerful and therefore if you think about this happening at billions of people level it creates a very different size of the market and that’s a very powerful thing to create.

Similarly, the supply chains will become agentic. You know if you think about this when you have the consumer experience becoming agentic, it basically transcends itself into the supply chain. What’s going to happen? It’s going to create the demise of the marketplaces. The marketplaces today are effectively an aggregation to give you a lot more comfort. The marketplaces will become weaker. What will be the rise of it? The rise of individual brands, the rise of local brands, the like of very specialized producers. They are going to come up because the agent will be able to go find them. And that’s great for our country where you have entrepreneurs sitting in every nook and corner. Not just this.

You think about manufacturing. It is going to essentially evolve itself and become agentic manufacturing. In this, think about this. Because you have agentic experience at the consumer level, your precision will be given, very different precision signals will be given out to the manufacturers. And therefore, the productivity of the manufacturer changes drastically. Again, think about starting from the consumer into the supply chain into manufacturing. And that’s a phenomenal change that’s going to happen. Let me just explain the scale of this. Commerce in the world is 25 % of the world’s GDP. Same as for India. If you think about the impact of agentic commerce just at the India level, that’s going to be of the order of $3 trillion in the next 20 years by 2047.

That’s what we are really seeking if you essentially bring AI intelligence in the world of commerce. And that’s what we at Glance are truly attempting to go after. Given this is happening in India, we have a saying which is as part of our Upanishads in Sanskrit, which is, What does it mean? In a very simplistic way, what it is truly trying to say, be truthful. Bring truth out. If you think about digital economy in the last several years, it has led to distortion. Social media has led us into a world which is not very good. They have played around with our mental abilities and have forced us to think about things in a wrong way.

But I think we have an opportunity to think about how agents can be authentic. Once we make an agent transparent, authenticity becomes part of it. And I think that’s how we need to lead the world very differently. And we have an opportunity, especially as a company which is coming out from India, we take that very, very seriously. So in short, we are bringing with glance, as in Mobi, we are bringing AI in commerce. We are very proud of the fact that we are building this from Bangalore. We are building this from India for the world. We truly want to impact every consumer on the planet and bring agentic commerce. Bring intelligence into commerce and impact the world’s supply chain.

This event is all about audacity. We have not had a more audacious plan in our history of 18 years of me running this company or founding the company. But this is what this event does to you, but this is what technologies like AI do to you. I think it is time for us to rise and think about every possible idea in a very audacious manner. And I think this is what AI does to you. I hope every one of you rise up to that occasion and think about it that way. We are very excited. We are kicked about what we are truly trying to go about doing it. I am back to my ways of working in my 20s.

The energy is very different. The excitement is very different. And certainly the world is right now back in your palms. If we all were living in the 19th, if we were all very active in mid -90s, we would have thought about Internet very differently. I think that is what we are doing. I think that is what we are doing. I think that is what we are doing. we were laggards in internet we came into the internet era about 10 years late big things were already built by then that’s not the case when it comes to AI and I think we have an opportunity not just in the sector of commerce but every possible sector to build global platforms so that’s what we’re going to aim for that’s what we’re going to try for thank you so much for being

Speaker 1

thank you Mr. Tiwari for the keynote address for the next keynote may I now invite Mr. Vivek Mahajan CTO of Fujitsu may I also request everybody to please settle down thank you

Naveen Tewari

Speech speed

152 words per minute

Speech length

Ethical vision and Indian leadership

Topics

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

Speaker 1

Speech speed

63 words per minute

Speech length

33 words

Speech time

31 seconds

Facilitating seamless transition and reinforcing AI focus

Explanation

The speaker acknowledges the preceding AI keynote and promptly introduces the next expert, underscoring the importance of maintaining momentum in the AI dialogue and ensuring a smooth handover between sessions.

Evidence

“thank you Mr. Tiwari for the keynote address” [1]. “may I now invite Mr. Vivek Mahajan CTO of Fujitsu” [1].

Major discussion point

Conference facilitation and continuity of AI discourse

Topics

Artificial intelligence | The digital economy

Agreements

Agreement points

Similar viewpoints

Unexpected consensus

Overall assessment

Summary

This transcript contains only one substantive speaker (Naveen Tewari) presenting his vision for agentic commerce, with Speaker 1 serving only as an event moderator for transitions. There are no areas of agreement, disagreement, or consensus to analyze as there is no dialogue or exchange of viewpoints between multiple speakers on substantive issues.

Consensus level

No consensus analysis possible – single speaker presentation format with only procedural interjections from event moderator. The content represents one individual’s comprehensive vision for AI-driven commerce transformation rather than a discussion or debate among multiple participants with varying perspectives.

Differences

Different viewpoints

Unexpected differences

Overall assessment

Summary

No disagreements identified in the transcript

Disagreement level

This transcript contains only a single keynote presentation by Naveen Tewari with no opposing viewpoints or debate. The only other speaker (Speaker 1) merely provided event transitions and speaker introductions without presenting any substantive arguments or positions that could create disagreement. The content represents a unilateral presentation of Tewari’s vision for agentic commerce and AI’s transformative potential, without any challenging perspectives, alternative viewpoints, or critical analysis from other participants.

Partial agreements

Similar viewpoints

Takeaways

Key takeaways

AI will fundamentally transform society by extending human lifespan to 120 years, eliminating skill inequality through democratized abilities, and driving unprecedented economic growth through productivity gains

Commerce is evolving from personalized to personal feeds through agentic commerce, where AI models are trained on individual consumers to create highly customized shopping experiences

InMobi’s Glance platform represents a comprehensive agentic commerce solution using multiple AI models including commerce intelligence graphs, generative AI experience models, and individual user models

Agentic commerce will create a transparent and accountable shopping ecosystem with explainable AI recommendations and living context graphs that optimize purchase paths in real-time

The technology will reshape entire supply chains, leading to the decline of traditional marketplaces and the rise of individual and local brands, while enabling agentic manufacturing with precise demand signals

India has a unique opportunity to lead in AI-driven commerce, potentially impacting $3 trillion in commerce value by 2047, building global platforms from India for worldwide deployment

The approach emphasizes authenticity and transparency in AI systems, drawing from Indian philosophical principles to counter the negative effects of previous digital technologies

Resolutions and action items

InMobi plans to train commerce models for a billion people over the next several years through their Glance platform

The company commits to making their AI models transparent by opening up reasoning engines so users understand product recommendations

InMobi aims to build and deploy their agentic commerce platform globally from their Bangalore base

The company will focus on impacting every consumer on the planet and transforming global supply chains through their technology

Unresolved issues

No specific technical implementation details or timelines were provided for achieving the ambitious goal of training models for a billion people

The presentation did not address potential challenges, risks, or limitations of agentic commerce technology

No discussion of regulatory considerations or privacy implications of highly personalized AI models

The competitive landscape and how InMobi will differentiate from other AI commerce solutions was not addressed

Specific metrics for measuring success or progress toward the $3 trillion impact goal were not defined

Suggested compromises

Impact

This comment elevates the discussion from product features to national economic strategy. It positions agentic commerce not as a business opportunity but as a fundamental economic transformation, justifying the ‘audacious’ approach he advocates.

Overall assessment

Explanation

While Tewari focused on benefits, the discussion implies a need to research potential downsides, privacy concerns, market concentration risks, and unintended consequences of such pervasive AI-driven commerce

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.

Keynote by Naveen Tewari Founder & CEO, inMobi India AI Impact Summit

Summary

Keypoints

Speakers

Lifespan extension through AI-driven disease eradication

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Democratization of coding skills

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Disproportionate economic productivity growth

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Shift to personal AI-generated commerce feeds

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Commerce Intelligence Graph as knowledge backbone

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Generative AI Experience Model for visual personalized outputs

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User‑level model trained on each individual

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Living Context Graph capturing real‑time context and price sensitivity

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Transparent reasoning engine explains recommendations

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Building trust by making agent decisions visible

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Consumer‑level intelligence creates massive savings feeding economy

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Agentic supply chains and decline of traditional marketplaces

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$3 trillion impact on India’s GDP by 2047

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Emphasis on truthfulness and authenticity of AI agents

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India positioned as global AI commerce innovator with audacious mindset

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Facilitating seamless transition and reinforcing AI focus

$3 trillion impact on India’s GDP by 2047