Powering AI Global Leaders Session AI Impact Summit India

20 Feb 2026 16:00h - 17:00h

Session at a glance

Summary

This discussion features Chris Lehane, OpenAI’s Chief Global Affairs Officer, speaking at an AI Impact Summit in Delhi about democratizing artificial intelligence and India’s strategic role in shaping AI’s global future. Lehane begins by acknowledging previous speakers, including Prime Minister Modi and OpenAI CEO Sam Altman, who both emphasized the importance of “democratic AI.” He introduces the concept of a “capability gap,” explaining that OpenAI’s research shows power users of AI technology create a 7x economic impact compared to non-power users, creating a significant disparity that society must address.

Lehane argues that education serves as the key to closing this capability gap, identifying three critical components: access, literacy, and agency. He highlights that India has 100 million regular AI users, partly due to affordable access with free tools and a paid version costing only $3.99 monthly. For literacy, he emphasizes that people must simply start using AI technology in any capacity to develop proficiency. The most challenging element is agency – fostering an ethos where people view AI as a tool for empowerment rather than just homework assistance.

Lehane positions AI as a general-purpose technology comparable to historical innovations like the wheel, steam power, and electricity, noting it can scale human abilities to think, learn, and create for anyone who can communicate. He draws a historical parallel between AI adoption and the printing press, contrasting Europe’s embrace of knowledge democratization with China’s restrictive approach. Lehane concludes by emphasizing India’s pivotal role as the world’s largest democracy in determining whether AI develops along democratic or autocratic lines globally.

Keypoints

Major Discussion Points:

– The Capability Gap in AI Usage: There’s a significant divide between “power users” who leverage AI as assistants, coaches, and work multipliers (creating 7x economic impact) versus casual users who treat it as a basic search function, creating an urgent need to close this gap societally.

– Three Pillars of Democratizing AI Through Education: Access (making AI tools affordable and available, like OpenAI’s $3.99/month model in India), literacy (both traditional and AI-specific skills development), and agency (developing the mindset to actively use AI for productive purposes rather than just homework shortcuts).

– AI as a General Purpose Technology: AI represents a transformational technology similar to the wheel, steam power, or electricity that fundamentally changes human productive capacity, allowing individuals to own and monetize their labor rather than just sell it in the traditional labor-capital dynamic.

– India’s Strategic Role in Global AI Democracy: India’s position as the world’s largest democracy with 100+ million AI users makes it pivotal in determining whether the world develops “democratic AI” or “autocratic AI,” drawing parallels to how Europe and China differently adopted the printing press.

– Educational System Transformation: The need to redesign education systems that were built for the industrial age (factory-like structures) to prepare students for the “intelligence age,” fostering agency and entrepreneurial thinking about AI capabilities.

Overall Purpose:

The discussion aims to position India as a crucial strategic partner in democratizing AI globally, emphasizing the urgent need to close capability gaps through improved access, literacy, and agency while highlighting India’s unique opportunity to lead the world toward democratic rather than autocratic AI development.

Overall Tone:

The tone is consistently optimistic and inspirational throughout, with Chris Lehane maintaining an encouraging, partnership-focused approach. He balances urgency about addressing capability gaps with confidence in India’s potential to lead global AI democratization. The tone remains respectful and collaborative, positioning OpenAI not as a vendor but as a strategic partner in a shared mission to benefit all humanity.

Speakers

– Speaker: Role/title not specified, appears to be a moderator or host introducing the session and thanking partners

– Chris Lehane: Works at OpenAI (mentioned as “what we do at OpenAI”), discussing AI democratization and policy implications

Additional speakers:

– Ronnie: Chief Economist at OpenAI and academic professor at Duke University, expertise in economics of AI and employability

– Sam Altman: CEO and co-founder of OpenAI (mentioned but did not speak in this transcript)

– Prime Minister: (mentioned as having spoken the day before, but did not speak in this transcript)

– Rupa: Role/title not specified, mentioned as having discussed literacy in relation to AI

Full session report

This discussion features Chris Lehane, OpenAI’s Chief Global Affairs Officer, speaking at an AI Impact Summit in Delhi following earlier remarks from the Prime Minister and OpenAI CEO Sam Altman about “democratic AI.” Lehane was introduced after a video about Vahan.ai, with the host acknowledging Ronnie’s parents’ story of being born in India and moving to the U.S., which Lehane praised as exemplifying the themes of his presentation.

The Capability Gap Challenge

Lehane’s central argument focuses on a “capability gap” emerging from AI usage patterns. Drawing from OpenAI’s economics research, he explains that power users—those who use AI as assistants, coaches, and work multipliers rather than enhanced search engines—generate approximately 7x the economic impact of casual users. This disparity threatens to create significant societal inequality, with some individuals thriving economically while others risk being left behind.

Speaking in his informal, conversational style, Lehane acknowledges he’s playing “technologist,” “economist,” and “amateur historian” despite being a history major. He emphasizes that this capability gap represents more than typical technology adoption—it signals potential societal bifurcation where mastery of AI tools determines economic success.

Three Pillars of AI Democratization

Lehane identifies education as the historical “passport” for closing capability gaps and proposes three pillars for democratizing AI:

Access forms the foundation, requiring AI tools to be financially and practically available. India exemplifies this with 100 million regular users—roughly one-third of the population. Lehane notes OpenAI’s strategy of providing free basic tools and affordable premium options, mentioning “about $3.99 a month, if I’m remembering correctly” for advanced features in India, though he expresses uncertainty about the exact figure.

Literacy encompasses both traditional educational skills and AI-specific competencies. Lehane advocates for practical engagement, encouraging people to start using AI for any purpose—citing examples from his friends who use it for astrology or sports betting. He argues that AI literacy develops through hands-on experimentation rather than formal training.

Agency represents the most challenging pillar—fostering a mindset where individuals actively choose productive AI use rather than passive consumption. Lehane estimates only 20% of students demonstrate genuine agency with AI, viewing it as empowerment, while 80% treat it merely as a homework shortcut.

AI as General Purpose Technology

Positioning AI within historical context, Lehane describes it as the latest general purpose technology, following the wheel, domestication of animals, steam power, combustion engines, electricity, and transistors. He notes that for 190,000 years, humans produced essentially what they consumed in a one-to-one ratio, but general purpose technologies over the past 10,000 years have progressively increased productivity.

AI serves as the “ultimate leveling tool,” scaling human abilities to think, learn, create, and produce for anyone capable of communication. This could fundamentally alter the traditional social contract, which Lehane describes as historically being “a calibration, maybe a fight between labor and capital.”

Educational System Transformation

The current educational system, Lehane argues, remains designed for industrial-age requirements. Developed during early American industrialization to transition agricultural workers into factory employment, schools still operate on factory schedules with bells and classroom-to-classroom movement mimicking assembly lines.

As society enters the “intelligence age,” educational systems require fundamental restructuring. Students need to understand AI not as a work-avoidance tool but as capability amplification, fostering agency, creativity, and entrepreneurial thinking rather than preparing for predetermined roles.

Historical Precedent: The Printing Press

Lehane draws parallels between current AI adoption and the printing press introduction in the late 1400s, acknowledging that “none of these [analogies] are perfect” and will “rhyme more than repeat.” In Europe, political fragmentation prevented centralized control of information, leading to democratized knowledge that contributed to the Age of Discovery, Enlightenment, and Reformation.

Conversely, China’s dynastic rule recognized the printing press’s potential to spread challenging ideas and restricted its use, limiting transformative benefits. This historical parallel frames contemporary AI development as a choice between democratic and autocratic implementations.

India’s Strategic Role

Lehane positions India as uniquely influential in global AI development. As the world’s largest democracy with over 100 million AI users and rapidly growing adoption—particularly in developer tools like Codex, which is growing fastest in India—the country’s approach will significantly influence international patterns.

He emphasizes viewing India as a “strategic partner” rather than merely a customer market, recognizing that successful AI democratization requires collaboration between technology companies and democratic institutions. India’s success in demonstrating democratic AI implementation could provide a model for other nations.

Conclusion

Speaking with concern about keeping attendees from dinner, Lehane concludes by emphasizing the recursive nature of AI acceleration and the historical significance of current decisions. He describes the privilege of being in Delhi during “an incredible week” and positions India’s choices as crucial for determining whether AI serves democratic or autocratic ends globally.

The presentation combines practical implementation strategies with broader considerations about technology’s societal role, presenting AI development as both a technical and civilizational challenge requiring thoughtful collaboration from democratic societies. Throughout, Lehane maintains his conversational tone while acknowledging his limitations in speaking about systems beyond his expertise, particularly noting he’s “a lot more familiar with the U.S. public education system than certainly the Indian one.”

Session transcript

Speaker

The Chief Global Affairs Officer to join us for this moment. Please give a big round of applause to all our partners. Thank you. Thank you so much. Thank you so much. Thank you for your partnership. Thank you. Thank you. Thanks. Next, we have a short video coming up bridging these two sessions. which is what we talked about in the first section with Ronnie and the experts over here about the economics of AI, employability, what we can do with students. There’s a company called Vahan .ai that has done some incredible work in this space to be able to connect talent together with jobs. We have a short video and right after that we’ll have Mr. Chris Lehane giving us a talk about what we do at OpenAI.

Thank you. Over to you, Chris.

Chris Lehane

Thank you, thank you. Thank you everyone. Thanks for those who’ve hung out for a little bit longer. I know I am standing between you and probably dinner, and given how good the food here is in India, I am very cognizant that I should be pretty quick because I don’t want to stand in your way. First of all, great panel. It was awesome just to hear those different thoughts and perspectives. And Ronnie, who I think is one of the most excited people here in Delhi for this Impact Summit, your parents would be very proud of you in all seriousness. They were born here, they came to the U.S., and then to have their son coming and doing an event like this is a tremendous story.

So thank you. And Ronnie, thank you for everything that you do at OpenAI. And I really want to thank the OpenAI team that has helped put this together and all the incredible work that’s been done over the course of this week. And really thank everyone here in the room for participating in this summit. It is really a unique and special moment in time here in India. You know, yesterday we all heard from the Prime Minister. We also heard from Sam Altman, our CEO and co -founder. And, you know, the commonality in what they talked about. It was really focused on this idea of democratic AI. I think the Prime Minister, not surprisingly, was incredibly eloquent in talking about just how important it is to get that right.

And Sam, I think, built on that in his remarks. And something that Ronnie mentioned, I think, deserves some unpacking because it’s directly related to this democratizing of AI concept. And Ronnie, you had touched on the capability gap. So let me just unpack that for a couple seconds because I do think it’s at the core of this concept of democratic AI. And so what we know from our research, and really the research that Ronnie and his team do, is that there’s something called this capability gap. And what that really means is the technology continues to accelerate. In fact, there’s a recursive nature to it right now. So that acceleration is potential. going to become even faster and faster.

And what we’re seeing is that there is a subset of users. Think of them as power users. And those power users who are using the technology, and Ronnie I think you did your survey of how people are using it. I’m not sure if the astrologist counts as a power user, but I think some of the other examples, we’re getting there and perhaps it does. But what we’re seeing from those power users, so not just those who are using it for sort of a more comprehensive search function, but they’re really using it as an assistant, as a coach, as a multiplier of their work, is they are effectively creating a 7x economic impact. So put that in really simplistic or reductionist terms.

If you’re at a company and you’re a power user of our tools or AI generally, you are likely delivering a 7x value vis -a -vis a non -power user for your employer. Or if you’re self -employed and using it yourself. And so I think we’re really at this moment in time and we need to begin thinking about how do we close that capability gap, right? Because there’s going to be a subset of folks who left to their own are going to do very well by this, but we need to be thinking about society as a whole as we go forward. You know, Ronnie, in addition to being a chief economist, is also an academic professor at Duke.

A number of the folks up here had academic backgrounds. And we do know that over the course of human history, education ends up being the passport to close these types of capability gaps. And I think as we think about the role of education going forward, there’s really three elements to it here. Some of them are touched on in the conversation. The first is access. I mean, access is core to democratizing AI. You know, here in India, we have a hundred million folks who use this on a regular basis. Think about a third of the population who use this on a regular basis. I mean, access is core to democratizing AI. I mean, access is core to democratizing AI.

I mean, access is core to democratizing AI. I mean, access is core to democratizing AI. I mean, access is core to democratizing I mean, access is core to democratizing AI. I mean, access is core to democratizing AI. And amongst the reasons why there’s so many people using it here in India, I mean, we have 800 million globally, is because the vast majority are able to access our tools for free. And even the pay version here in India Go is a relatively very affordable model. I think it’s about $3 .99 a month, if I’m remembering correctly, okay. And so that access piece is really important. You have to have access to this if you’re going to have any chance to participate in those economics.

The second piece, and I think Rupa hit on this, is literacy. And, you know, this is literacy in the sense of, you know, reading and writing and arithmetic and AI literacy. And it’s really start using the tools. I might get asked all the time at events like this and other events, you know, which did my kid major in college? Or what? Start. Start using the technology. Start playing with it. Using it for astrology. Astrology. I have friends who use it for sports betting. Just use it in any type, shape, way, or form that you can, because once you start to use it, you will actually become really, really, really good at it. And then the third piece, and the third piece, I think, is really the most challenging and what we all have to get right, is the agency piece.

This is a technology, and this is a sophisticated crowd. You all understand this. But this is a technology that at its core is a general purpose technology. So what are general purpose technologies? We’ve got Ronnie, who’s an economist, who will probably come kick me when I do this description of it. But these are transformational technologies that just change the ability of humans to produce. So if you think about it, humans have been around roughly 200 ,000 years. For the first 190 ,000 of those years, humans produced basically what they could eat. And there was sort of a direct one -to -one ratio. And then about 10 ,000 years ago, you started to get stuff like the wheel.

and later on you got the domestication of animals, then the wheel, then you got steam power, and then you got combustion engine, your printing press, electricity, the transistor. Each one of those drove productivity up higher and higher and drove human progress. This AI is an ultimate leveling tool. It scales the ability of any person, so long as they can talk, to be able to think, to learn, to create, to build, and to produce. But you have to take agents. You actually have to want to use it for those purposes. And one of the things that’s very much in my head, and I’m a lot more familiar with the U.S. public education system than certainly the Indian one, so what I’m going to talk about is a little bit more from a U.S. perspective, although I do think it translates.

So in the U.S., the public education system that we currently have was really created at the early stages of the industrial age in the United States. and it was basically designed to help teach folks to come in from rural areas where they had mostly been an agricultural economy and be able to work in factories so in the U.S. the time that school started sort of aligned with when factories opened the fact that you went from classroom to classroom was basically designed to teach you to work on an assembly line even the bells that you got to move you around was designed to start to get you to understand and think as if you were working in the factory there are also other pieces built in civics courses I’m old enough that we had home ec and wood shop and other types of things that basically taught you core skills to be able to work in a factory well as we enter into this intelligence age what is the version of that that is going to change how people think and understand it’s almost an ethos that we have to build you know Sam often talks about the fact that if you probably look at kids in the school right now about 20 % of those kids actually really do have agency.

They’re excited to learn this. Maybe the other 80 % see it as a really easy way to get their homework done. That’s an ethos that we need to change. We need to get to a place where closer to 100 % of those students are going to really think about this is a technology that can allow me to succeed. It can allow me to actually take my labor and not necessarily have to sell my labor or get paid for my labor, but I actually get to own my labor and make money off of my labor. If you really think about how the social contract has generally worked, it has always been this calibration, maybe a fight between labor and capital.

This technology allows folks who are using their labor to be able to actually own it and participate in it in a fundamentally different way. For us, thinking about that agency piece is really critical. I’ll end this by just saying I think India is in a unique, unique moment to lead on this. The number of folks who are already using it. year. I think, Rana, you may have mentioned that Codex, which is our developer tool, this is the place in the world where it’s growing the fastest. And I’m going to end with a little bit of a historic analogy. I get to sometimes play a technologist on stages like this, and even a little bit of an economist today.

But I was a history major in college, so I get to play amateur historian, emphasis on amateur. Everyone has their own favorite historical analogy for this technology, for AI. The one that I’ve really been thinking about a lot lately, and none of these are perfect. They’re not exact replications. It’s going to rhyme more than repeat. But the one that’s very much in my head these days is the printing press. And I will sort of share two different parts of the world when the printing press came out. So the printing press developed late 1400s. Most of the world was more or less in a very similar economic place. So the printing press was a very similar economic place.

So the printing press was a very similar economic place. So the printing press was a very similar economic place. So the printing press was a very similar economic place. So the printing press was a very similar economic place. but two places went in very different directions on this one was europe and the other was china in europe because there was a little bit of a baseline of actual literacy from the catholic church and moreover because it was a fragmented continent with different countries that fragmentation really allowed people to use the printing press to spread ideas no one government actually controlled but that was being produced by the printing press and as a result you had the democratization of knowledge and ideas and thinking in a way that humans had never experienced at scale up to that moment in time and there’s a direct through line in europe from the printing press to the democratization of knowledge to the age of discovery the age of science enlightenment to reformation and the economic uplift of europe the other extreme was what took place in china which is under the dynasty at that time there was a real concern that the printing press was going to in fact allow knowledge to be spread and the spreading of that knowledge would potentially generate a challenge to the authoritarian government in place and so as we sit here at this moment in time right there is going to be a huge question as to whether the world is built out on democratic AI or autocratic AI a centralized version of it and India is gonna have the dispositive voice on how that plays out this is the world’s largest democracy if the world’s largest democracy is able to democratize AI here that means we’re going to be democratizing AI around the world so this is a moment in time for this incredible country that’s going to be playing a leading role not just for the people here as important as that is but for the entire world and the entire world and the entire world but for people around the world and so we feel incredibly privileged to be able to be here in Delhi in India at this moment.

It’s amongst the reasons why we don’t see India as a customer. We see India as a strategic partner, and not just a strategic partner for us as a business, but for a strategic partner for us to be able to deliver on our company’s mission, which is building AI that benefits all of humanity. Thank you very much for being here. It’s been an incredible week. Talk to you guys soon. Thank you.

Chris Lehane

Speech speed

185 words per minute

Speech length

India’s strategic role in global AI democratization

Topics

Artificial intelligence | Enabling environment for digital development

Speaker

Speech speed

78 words per minute

Speech length

Program management and facilitation

Topics

The enabling environment for digital development | Capacity development

Agreements

Agreement points

Democratic AI as a foundational principle

Speakers

– Chris Lehane
– Speaker

Arguments

Democratic AI is essential and was emphasized by both the Prime Minister and OpenAI’s CEO as a core concept

Partnership acknowledgment and appreciation for the collaborative efforts in organizing the summit and advancing AI initiatives

Summary

Both speakers emphasize the importance of democratic AI and collaborative approaches to AI development, with Chris Lehane highlighting how both the Prime Minister and OpenAI’s CEO focused on this concept during the summit

Topics

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

Collaborative partnership approach to AI development

Speakers

– Chris Lehane
– Speaker

Arguments

OpenAI views India as a strategic partner rather than just a customer, essential for achieving the mission of building AI that benefits all humanity

Partnership acknowledgment and appreciation for the collaborative efforts in organizing the summit and advancing AI initiatives

Summary

Both speakers recognize the importance of partnership and collaboration in AI development, with emphasis on working together rather than traditional customer-vendor relationships

Topics

The enabling environment for digital development | Artificial intelligence

Similar viewpoints

Both speakers demonstrate alignment on the collaborative nature of AI development and the importance of partnerships in achieving beneficial AI outcomes for society

Speakers

– Chris Lehane
– Speaker

Arguments

OpenAI views India as a strategic partner rather than just a customer, essential for achieving the mission of building AI that benefits all humanity

Partnership acknowledgment and appreciation for the collaborative efforts in organizing the summit and advancing AI initiatives

Topics

Artificial intelligence | The enabling environment for digital development

Unexpected consensus

Limited speaker diversity but strong alignment

Speakers

– Chris Lehane
– Speaker

Arguments

Democratic AI is essential and was emphasized by both the Prime Minister and OpenAI’s CEO as a core concept

Partnership acknowledgment and appreciation for the collaborative efforts in organizing the summit and advancing AI initiatives

Explanation

While there are only two speakers in this transcript, there is unexpectedly strong alignment between the corporate representative (Chris Lehane from OpenAI) and the event organizer on fundamental principles of democratic AI and collaborative approaches, suggesting broad consensus on these core issues

Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society | The enabling environment for digital development

Overall assessment

Summary

The transcript shows strong consensus on democratic AI principles, collaborative partnerships, and the importance of India’s role in global AI development. Both speakers emphasize working together rather than traditional business relationships.

Consensus level

Very high level of consensus with no apparent disagreements. The alignment suggests broad agreement on fundamental AI governance principles and the collaborative approach needed for beneficial AI development. This consensus has positive implications for AI democratization efforts and international cooperation in AI governance.

Differences

Different viewpoints

Unexpected differences

Overall assessment

Summary

No significant disagreements identified in the transcript

Disagreement level

This transcript represents primarily a single-speaker presentation by Chris Lehane from OpenAI, with only brief introductory remarks from another speaker. The content is largely a monologue presenting OpenAI’s perspective on AI democratization, the capability gap, and India’s strategic role. Without substantive input from multiple speakers with differing viewpoints, there are no meaningful disagreements to analyze. The format appears to be more of an informational presentation rather than a debate or discussion with competing perspectives.

Partial agreements

Similar viewpoints

Both speakers demonstrate alignment on the collaborative nature of AI development and the importance of partnerships in achieving beneficial AI outcomes for society

Speakers

– Chris Lehane
– Speaker

Arguments

OpenAI views India as a strategic partner rather than just a customer, essential for achieving the mission of building AI that benefits all humanity

Partnership acknowledgment and appreciation for the collaborative efforts in organizing the summit and advancing AI initiatives

Topics

Artificial intelligence | The enabling environment for digital development

Takeaways

Key takeaways

There is a critical ‘capability gap’ where AI power users generate 7x economic impact compared to non-users, requiring urgent societal intervention to prevent widening inequality

Three pillars are essential for AI democratization: Access (affordable/free tools), Literacy (hands-on experience with AI), and Agency (proactive adoption for productivity)

AI represents a transformational general purpose technology that allows individuals to own rather than just sell their labor, fundamentally changing the traditional labor-capital relationship

India holds a unique strategic position as the world’s largest democracy to influence whether global AI development follows a democratic or autocratic path

Current education systems designed for the industrial age must be transformed to prepare students for the ‘intelligence age’ with new ethos and approaches

The historical printing press analogy demonstrates how technology adoption can lead to vastly different societal outcomes – democratization of knowledge versus authoritarian control

OpenAI views India as a strategic partner (not just a customer) essential for achieving their mission of building AI that benefits all humanity

Resolutions and action items

Need to develop new educational frameworks and ethos to prepare students for the intelligence age, moving beyond industrial-age models

Must work to close the capability gap through improved access, literacy, and agency initiatives

Continue partnership between OpenAI and India to advance democratic AI development globally

Unresolved issues

How specifically to transform current education systems from industrial-age to intelligence-age models

What concrete mechanisms will be implemented to close the capability gap beyond the three pillars mentioned

How to shift student mindset from using AI for easy homework completion to genuine agency and ownership

Specific policy or regulatory frameworks needed to ensure democratic rather than autocratic AI development

How to scale successful AI democratization from India to other regions globally

Suggested compromises

Impact

This positions India not as a recipient of AI technology but as a global leader whose decisions will shape the future for all humanity. It transforms the entire discussion from a business presentation into a call for civilizational leadership, creating a sense of historical responsibility and opportunity.

Overall assessment

Explanation

While the statistic is mentioned as coming from research by Ronnie’s team, the specific methodology and findings warrant further investigation

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.