Impact & the Role of AI How Artificial Intelligence Is Changing Everything

We make systems and making decisions about who receives public services, who qualifies for a loan, or who is flagged for surveillance. Those who design, train, and deploy these systems will influence not only over individual users, but also the information environment of democracy itself. At the first inter -parliamentary conference on responsible AI last November in Malaysia, members of parliament raised cases that brought this risk into sharp focus. In Amsterdam, an automated traffic management system inadvertently routed congestion, through low -income neighborhoods because the algorithm had learnt that those communities lacked the political influence to object. Examples like this will scale rapidly if governance does not keep pace, perpetuating harms against those historically excluded from decision -making. Yet, democratic governance is not keeping pace.

Power is accumulating rapidly in the hands of those at the forefront of AI development. A handful of technology corporations now command market capitalizations, exceeding the entire equity markets of major industrialized nations, while millions of workers in the global south are paid little to annotate the data sets on which the system stands. The benefits of AI are increasingly concentrated. while many of the costs fall on those with the least power to shape the technology. This is not merely an economic concern. It is a democratic concern. When the systems that govern aspects of people’s daily lives, their access to information services and economic opportunity are controlled by a small number of actors without meaningful public oversight, then the social contract itself is under strain.

That is why we must frame this not simply as technology policy, but as democratic governance. The choices made today about how AI is developed, deployed and regulated involve trade -offs. Between innovation and safety, efficiency and equity, profit and the public interest. In any healthy democracy, those trade -offs are debated openly, decided transparently and subject to accountability. The parliamentary community declared in Malaysia that we do not accept the concentration of power in the hands of a few actors. They called on all stakeholders to agree upon red lines that this technology cannot cross. They insisted on an equal voice for the global south. And they called on all parliaments to engage actively with AI governance efforts at every level.

The principle that elected legislatures shape the rules governing society is the cornerstone of democracy. But the contribution of parliaments to AI governance goes beyond that basic principle. Parliaments are where the real world impact of AI meets political accountability. Members of parliament hear directly from workers affected by automation, from communities concerned with algorithmic decision making, from parents navigating their children’s relationship with technology. This connects governance to lived experience and informs the AI debate through the values of the people. Parliaments can and must support this. I want to stimulate that broader societal conversation through hearing the voices of the people. consultations, and multi -stakeholder dialogues. I believe you heard what the Deputy Speaker of Hungary said about the practices in his country, which I believe is the path down which we would want to travel.

This brings me to the international dimension. AI is a truly global challenge whose effects transcend national borders. As we would say, AI doesn’t have a national passport. While the risks are real, from job displacement to environmental costs, so too are the opportunities. AI has genuine potential to improve healthcare, expand access to education, and accelerate progress on the sustainable development goals. But those benefits will not be shared equitably by default. That requires deliberate collective action and it requires that the countries with the most to gain are not shut out of the conversation. Yet international AI governance remains fragmented and short on binding commitments. Geopolitical competition risks fracturing governance efforts further. That is why this summit, I say this summit and those which will follow, must embody the inclusive participatory approach that the equitable governance of AI demands.

Parliaments are pivotal to ensuring coherence between domestic legislation, established human rights, and evolving international standards. and to holding their governments accountable for the commitments made at summits like this one. The Inter -Parliamentary Union is committed to supporting that engagement. In the past two years, over 60 parliaments have taken action on AI, from comprehensive legislation to oversight inquiries. Across the world, parliaments are forming cross -party groups, establishing specialized committees, and building capacity. The foundations are being laid, but they need to be built on faster, with increased coordination across borders. Parliaments are also beginning to explore how AI can support their own work. And those that experience its promise… and limitations firsthand will bring far greater understanding to the task of governing it.

So, let me return to the principle at the heart of what I have said today. Democracy cannot be automated. It must be shaped by every one of us through our democratic institutions, through open debate, through laws made transparently and enforced fairly, and through international cooperation in which every, every nation can participate. The choices we make will determine whether AI furthers democracy or erodes it. If we succeed, AI can become independent. AI is a tool for inclusion, participation, human rights, and better governance. If we fail, it risks becoming a force which concentrates power, weakens accountability, and erodes trust in public institutions, including parliaments. The task before us is to embed democratic accountability, human rights, and the rule of law at the heart of how AI is designed, deployed, and governed.

This summit is a critical opportunity to advance that mission. Let us make the most of it together. Thank you very much.

Thank you. Thank you, Mr. Tiongong. And now, in this momentous occasion, it’s our great honor and pleasure, as today we have with us as chief guests, Honourable Mr. Om Birlaji, Speaker of Parliament of India When democracy meets AI, what are the opportunities for that, for deliberation Please put your hands together and we invite Honourable Om Birlaji

Thank you IPU’s Secretary General, IPU is an organisation of more than 190 countries in the world where in the institutions all over the world, how we can make new innovations, technology and international institutions responsible for the people. For this, all the parliaments of the world discuss this at regular intervals. I would like to welcome the Secretary -General of the IPU, Martin Csuk -Ok. I would like to welcome him. I would also like to welcome the Deputy Chairman of the Parliament of Hungary, Legos Alaw, as well. I would also like to welcome Miss Jimena Soto, Miss Maria Ramos, Miss Maria Ramos, Miss Maria Ramos, Miss Maria Ramos, Miss Maria Ramos, Miss Maria Ramos, Miss Maria Ramos, Miss Maria Ramos, Miss Maria Ramos, and especially those in whose presence this work is being carried out, the culture of India, the political value of India, the spiritual value of India, how can we bring the knowledge of the spiritual culture of India to the world?

For this, for a long time, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, the Vishgayati family, Thank you very much. Thank you very much. Thank you very much. is working to reach this spiritual and moral values. And along with this, here, the Dev Sanskriti Vidhyalaya, which is amazing, where in Dev Sanskriti Vidhyalaya, the moral and spiritual values are taught, but at the same time, in modernity, technology, whatever the new education system of the world is, that education system is also given by the Indian moral and spiritual values by the education system of the Indian for the creation of a society, for the creation of a for the creation of a for the creation of a for the creation of a for the creation of a for the creation of a for the creation of a society, for the creation of a society, for the creation of a society, for the creation of a society, for the creation of a for the creation of a for the creation of a society, society, In the school where you will go, you will see that there is Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, there is also Vedic value, and in the future, in the international organizations, in the international community, we will continue to develop the traditions of Sabwadur and use technology in a way that will answer the people of these international organizations.

We will continue to develop the traditions of Sabwadur and use technology in a way that will answer the people of these international organizations. to contribute to the development of the country. And I am happy that institutions all over the world are working on their own level. The Congress of the Commonwealth of Nations is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting.

The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. The Congress is here to attend this meeting. that how we can use AI in international organizations, use a answer -based technology, use a answer -based technology so that we can use all international organizations in the country, their work culture, their conversation, their discussion, to make it better.

And for this, the Indian parliament is also working on a large scale. With the Indian parliament, our state’s constitution, that too is working on technology. And within India, the constitution, the constitution, all the constitution, the constitution, today, the paper says, This is for all of us, because India is the world’s largest democratic country. Demography is also amazing for us. Our language is different. Our culture is also different. Even after having such a diverse country, we have tried to use AI to answer questions, answer questions, and be special. And that’s why, in this direction, India’s security is very important. The Digital Assembly has implemented the rules of all states and the implementation of our Lok Sabha Rajya Sabha.

You can see that on one platform. And by 2026, all the proceedings, debates, discussions of the Constitutional Assembly will be on one platform. And that is why we have started working on a large scale. Today, most of our Constitutional Assembly, not all of them, have been paperless. All the debates, discussions, discussions, budget, issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, all the issues of the state, of the central government, With this, we will give such a model to the country that all the councils in the world, from the Constitutional Assembly of the State of India to the council’s functions, can be seen on one platform and there will be new innovation in it.

With that innovation, we have also tried to use AI in it. Because when you go to the subject, the topic, the discussion on metadata, then how can you search in all those debates? So, using AI technology, the Constitutional Assembly of the State of India and the Council of the People will get a platform and you will be able to see and read all the subjects and issues of the state through metadata. This will increase the capacity of our people in our democratic institutions. debate will be of high importance and while making the law we will make the law by summarizing the thoughts of the people and while making the law the discussion will be good in the parliament for this India technically I can say that in the form of AI India will become a new model of technical knowledge for the world’s parliament I am happy that under the leadership of the Prime Minister today the world’s largest AI community will be able to do this and I am happy Jisme 100 se jada desho ke log aayen, prathiniti aayen, rashtra dyaksh aayen, sansat ke sadarshi aayen.

Aur yeh sab yaha par kis tarike se badalti duniya ke andar, hum AI ka upyog karte hue, kis tarike se logon ke shamta nirman, industries ho, agriculture sector ho, chayani sector ho, unki utpadakta ko badana, aur duniya ke andar sabse nojawan desh Bharat hai. Aaj Bharat ka nojawan takni ki roop se nahi navachar kar raha hai, aur duniya ke andar sabse nojawan desh Bharat hai. Aur isi liye Bharat ki yeh yuwa jan sankhya hi Bharat ki satsi badi tagat hai. Aur isi liye isi tagat ka upyog… In the right direction Be positive Be in the form of new culture So that the challenges of the world Can be solved by India And in this direction We are moving forward I hope That our talent Is abundant in the world Our young people’s Power Concentration New culture Self -confidence Because it has spiritual And political value And Dev Sanskriti Vidyalay Where technology In technical knowledge Is giving youth Vedic education Along with that They are getting modern technology Education But that education should be on political value For everyone’s development It should be trusted It should be trustworthy It should be trustworthy It should be Because It is the only thing Because while using technology, if we do not use all the technology, then its direction can also be wrong.

And that is why a student who studies in the political fields of spiritual, religion and culture can use AI technology with answer and response. And in this direction, India is definitely working because India has power, we are growing rapidly in the world of clean energy. We have young people with political values. And their thinking is amazing. And their belief and self -confidence is also amazing. And that is why our speed and scale is growing rapidly. This world is looking at India. You must have seen that the attention of all state leaders is also on India. And they have also said that definitely India is doing a good job in the technology, in the AI sector.

India is doing a good job in the technology, in the AI sector. And the speed at which it is working, the scale at which it is working, will definitely move forward. Our thinking and thinking is always about the creation, the realization and the happiness. We consider the world as a family. Vasudev Kutamkam is our culture. And our thinking is about the creation, the realization and the happiness. That is why I hope that the AI technology conference will definitely give a new direction. And we will use it with confidence and with responsibility. We will be able to do it with confidence. And the use of technology is used in machines. But our human resources will work in the right direction.

I again give a lot of appreciation to all the people who have come here. And with this discussion and discussion, we will get a new direction. And we will continue to develop in India based on political values. And with the help of international development and international

Thank you. After the wonderful speech of Honourable Speaker, we are privileged to have Dr. Fadi Dao here. He is the Chairman of the Globe Ethics. And there is one single question that I wanted to ask you, Dr. Dao, that you just listened to the excellent deliberation by Honourable Speaker and the variety of voices here. And India is a country with 27 official languages, 19 ,500 dialects. We have got more than 400 documented cultures. And we go with the belief and value of Vasudhaiva Kutumbakam. So how do you see the way forward from here? If I can hear from you in one minute, please.

the largest nation in the world, for reminding us that through this summit and the purpose of AI democratization is not people’s manipulation or domination. India is reminding us also today that the purpose of AI is the social empowerment and participation of all people. To conclude, ladies and gentlemen, I would like to say on behalf of Globe Ethics, my organization that is based in Geneva, that we are committed to capitalize on the outcomes of this summit and this panel in the perspective of the 2027 summit in Geneva, where we would like to welcome you all. Thank you.

Thank you, Dr. Dow. And very shortly, Lord Rawal is with us from House of Lords, also a devout member of the Gayatri Parivar. If you could kindly shed a light on the way that India should take now for democracy.

Thank you, Paiya. Ladies and gentlemen, one of the tenets of Gayatri Parivar that I grew up in is the adaptability to change. Change is such an intrinsic part of the entire fraternity. And that is, I think, a real advantage, because what will happen, the big cost of AI, is the speed with which technology is advancing, which can really make people unsettled. And the uncertainty, as a politician, I need to contain people’s uncertainty. And I think this preparedness for change, Chimabaya, which is a cardinal value of your organization, will really help people. There’s other things I could say, but I’ll leave it at that, because we’re pressed for time. Thank you.

Thank you. Now it’s time for felicitations. On behalf of India AI Mission, Government of India, and all world Gayatri Parivaar, Dev Sanskriti Vishwadhyayalaya please put your hands together for wonderful session and we express our gratitude towards our honorable chief guest honorable guest of honors and Dev Sanskriti Vishwadhyayalaya, all world Gayatri Parivaar in itself started a very wonderful program like when we are integrating artificial intelligence with spirituality we are talking about future of faith in interfaith dialogues worldwide Dr. Chidambi Pandya is representing the thought and today on this very wonderful gathering we once again thank our honorable guest of honors, honorable distinguished speakers and all the participants thank you, thank you once again do visit Shantikunj Haridwar, Dev Sanskriti Vishwadhyayalaya and you can scan the QR code on the screen so that you can get a very wonderful gift afterwards once you scan and you put your please put your hands together once again we express our gratitude to our honorable speaker of Lok Sabha, Adar Nishri Om Birla Ji and our honorable guests once again a big round of applause thank you all thank you the next stage is beginning all of you please be there for the co -operation thank you thank you QR code which you can see in front of you, scan it so that you can get a special gift for this program.

Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. you you Thank you. Thank you. Thank you. with

each of you in the room to really tell you what we’re doing over at OpenAI. And today we’ve got an incredible lineup of show. You will hear from our chief economist. You will hear from our chief of global affairs. You’ll see a lot of the work we’re doing in education, in social impact. And we are tremendously excited to have you here. The energy this week has been palpable. And we cannot wait to continue to build in India, with India, with each of you. So with that, I’m going to invite our incredible chief economist, Ronnie Chatterjee, on the stage to kick off the show. Well,

As we think about the panel discussion, I want to start and invite Iqbal Dhaliwal. Iqbal, where are you? Come on. Iqbal is the Global Executive Director of J -PAL. Okay. And Rupa, do you want to come up here too? Rupa, thank you. Rupa is the Chief Economist and Head of Policy Advocacy at Tata Sons. Very exciting to have you here, Rupa. And Sanjeev Bikachand, the founder of InfoEdge. Sanjeev, please take a seat. All right, Sanjeev. So let’s get started and think about – and the great thing about this, I get to ask the questions. Yes. You know? When I do the other things, I’m always in the hot seat, and I get to ask you the questions about the future of work, jobs, AI, the economy.

Okay. Iqbal, let’s start with you. Thank you. How are you using data, perhaps like signals and other kinds of data sets, to understand how AI is affecting the economy? What are the most interesting things you’re seeing? Hey, can you? Yeah, perfect.

Yeah, thanks for having us. Super exciting. I think for us, data means a lot of things. One is absolutely to understand what the problems on the ground are. But for us, the most important use of data is to understand how the applications of AI are making an impact on the ground, which is so important also because that is the topic of today’s conversation. And it’s giving us so many incredible insights about how things are working. For instance, just in the field of AI and the intersection with development, wearing my hat now as a researcher but earlier as a policymaker, one of the things that we have been worried a lot about is early childhood. And we think about early childhood education and say, hey, how can we get more kids to come?

into early childhood education, how can we get to ages one to three? And it was an impossible task despite rigorous evidence that this works. And now what we are able to do with AI, you know, Rocket Learning, OpenAI has a partnership with them, I’ve been on their founding board, Rocket Learning is able to now democratize with data the application of early childhood education for children. It’s able to do that by reaching millions of Anganwadi workers who could not be trained earlier, and it is generating so much data which is telling us how children learn, what exactly customized messages to send to these children, and what to send to their parents. And so for me, that’s kind of a really cool application of the data which is being collected and being generated by using an AI application.

Oh, I want to return to education in a second, but first let me go to my other chief economist, Rupa Purshatanam. Rupa, first of all, what does Tata want with a chief economist? I understand now why OpenAI is one. I understand now why OpenAI is one. Tell us what the chief economist at Tata does, and also what are some of the most interesting things you’re seeing in the enterprise, one that’s using AI a lot, from what I can tell.

So that is a very good question. I think when you’re part of a group like the Tata’s that’s sort of spanning all sectors of the economy, you do a little bit of everything. I would say probably 30 % of the job is looking at how do we do classical economic forecasting, GDP, interest rates, inflation for the geographies we’re in. But I think we get to do a lot of interesting things, really trying to connect macro approaches that we take in macro to things that we’re seeing in sectors or solving big impact nation -scale problems. So I get to do a lot of work on sustainability, on health. I’m the head of social impact as well.

So those things sort of cross over.

This is interesting. I mean, right, it’s interesting. As much as we’re asking about economics, we’re hearing about education. We’re hearing about social impact. I want to return to these themes as well. Sanjeev, how about you at InfoEdge? How are you? Thinking about the most important uses of AI. What are you tracking?

Okay, so the first thing is, we are a job site primarily, Nocri .com. So roughly about 70 % of our revenue and 140 % of our profits come from Nocri. So when we hear this talk that AI will eat jobs, and AI will eat programming jobs, and 50 % of our revenue comes from the IT services sector, we get worried. So the first thing you want to do is actually understand what is AI going to do to jobs, specifically what is AI going to do to jobs in the IT sector. Now that’s important for us to understand. But let me tell you, thus far at least, there is no evidence on the ground that hiring is going down.

In fact, it is steady. So thus far at least, there has been no impact on jobs or no impact on Nocri business. So now we are waiting and watching because, you know, we are worried when the whole world is saying jobs are going to vanish, we get worried. But, you know, I console myself by going back into history. And, you know, when a new technology comes, there is a disruption often. And, yes, some people, some jobs may get replaced, but many more are often created. So in 1985, I recall I was 22 years old and my first job. And the government then announced that we’re going to introduce computers in banks in India. In those days, most banks were public sector banks.

The bank trade union went ballistic. But the government introduced the computers anyway. And for a while, they didn’t get used, the computers. But when they began to get used, nobody lost jobs. People got more productive, right? They were servicing their customers better. They were doing different things. They were doing more things. They were doing things faster. So technology. Technology may disrupt and may replace, but it will also create new jobs and new opportunities. opportunities. Now, if it happens in six months’ time that you’re disrupting, there may be a problem. But if it takes five years, you’ll have enough time to create new jobs, do new stuff, and on an aggregate basis, there won’t be crazy disruption.

Rupa, do you want to follow up on this?

Yeah, I was going to say, I think that there’s two areas for India in particular where we could see new jobs, meaningful jobs being created. One has to do with the fact that we are in a very different situation compared to countries like the U.S., regions like Europe. In places like that, you have efficient markets and you have a plethora of specialists, whether we’re talking about doctors, lawyers, whatever it might be. In India, we don’t have enough doctors per thousand people. We don’t have enough nurses. That’s an even worse, more acute problem. Educators and so on. And the resources that we have that are… Specialists are stretched to the max. So we did some work some years ago and looked at doctors at Ames, not far from here.

and we found that 50 % of their time was spent on not specialist work. With AI and the tools that we have, that work can move to a whole new set of workers that can take that on, and that leads to two things. One, doctors can do what they should be doing for more people. You have a new class of workers that mediates technology but also helps new patients navigate the system that is very difficult to navigate. And when you have, let’s say, people in rural India who are experiencing health care for the first time, now all of a sudden you need medicines to reach people and so on, right? So entire supply chains start.

And so I’ve talked about health, but this is the same for education, for financial services, logistics. And so I think there’s tens of millions of jobs. We estimated it to be about 30 million that come from these sort of rigid workers. The second one is entrepreneurship, and I think there’s something mind -boggling about the fact that literacy, and I advocate for literacy, but literacy is not the obstacle that we saw in the past. because of two things. When you have voice activated and you have local language models, all of a sudden, and we’ve seen this in our social impact work, you have entrepreneurs that can now understand, you know, price information more quickly. They can access markets, access financial resources.

So things that you could only do in urban systems now can be elsewhere. And I think for us, if we see this, and right now it’s still very nascent, but if what we’re seeing in our social impact work really goes bigger, entrepreneurship, which are small and medium -sized businesses, which now account for like 10 % of private sector employment, it can go to what we see in other places, which is closer to 40%. So for me, those are two big opportunities.

Iqbal, how about you?

Yeah, thanks. Okay. I think I agree with everybody, you know, like about the potential of AI to try and transform our lives for the positive. I do want to, you know, put in a word of caution on the labor front. I think I agree with you, for instance, that, you know, like when computers came, people thought… it was disruptive. But think about how expensive the first computers were, right? Like there was this one massive computer in the office, five people would go and share it. You know, like the bosses got a laptop, everybody else got a hard, you know, like a thing, a desktop, thank you. Most of them were not connected to the internet.

Then we slowly connected them to the internet. I think the speed and the pace of AI is unprecedented. It’s a general purpose technology. The price is, the price point for the marginal user is very low. The penetration is incredible. Think about it, right? Like every single one of you who has a smartphone in your pocket has AI in your pocket. That was not the case for computers and technology. And finally, the multimodality of it. The fact that, oh, I can’t process text, but then I can process it as a voice or I can process it as video. That is phenomenally different from all of these technologies. So I think what I would say is, you know, the following.

I think I agree with you that in the medium and the long term, job markets will adjust. The pace at which – I just wish I had a dial which could kind of slow things down. So, you know, and I think the speed at which this thing is going, the labor markets will have a very hard time. The second reason that the labor markets are going to have a really hard time is because we are completely biased towards capital investment versus labor. This is true for the United States. We have Social Security taxes, Medicare, Medicare, like the entire thing. I mean, you know, in India, we have ESI, cratchity, public provident, retirement. And on the other hand, the government gives breaks on investment in capital.

So the playing field is not leveled here for each one of us in the labor market to compete against AI. So I’m all for AI. It’s going to be a product -enhancing technology. It’s going to be an augmenting thing. But for it not to turn into an automation and a human replacement thing, we need to dial down the speed, and we need to make sure. We need to make sure that the policy infrastructure keeps up with it.

Look. AI is now relentless, the genie’s out of the bottle, you can’t dial it down, it’s not going to slow down just because somebody said so. It’s going to happen. Now, you can either do it or have it done to you. And what I tell people, individuals, I say, listen, you worry about your job, don’t worry about jobs in the system, national level jobs. Is your job safe and what can you do to make sure your job is safe? Or get your job, if you’re a student. And I go back to 1989, I had just finished business school, I had worked for three years prior to business school, I had finished business school, I joined a company, a consumer company, and I was working in the marketing department.

And yes, as Iqbal says, there were two computers, 15 people, we were sharing it. Now, the thing was that I was the only guy who was PC literate because I was the most recent graduate, I was the youngest. I had used computers in business school, the others had not. They were senior to me, they were my bosses, they were getting paid more than me. And they had more powers than me. but they couldn’t use a PC. I could. If there’s somebody getting sacked in that department, I was the last guy getting sacked because I was the only guy who could use a PC at least for the first few months. My point is simple. AI platforms are easy to use, easy to learn.

For everybody, I’m saying if you are a person in your company or in your department or even if you’re a student who knows how to use seven or eight or ten AI platforms, believe me, you’re highly employable. Because not everybody will learn it. If you learn it and are good at it, you’ll be okay. So it’s in your hands to protect your employment and your employability. Just learn AI.

This is one of the things people say that your job is more likely to be taken by someone who knows AI better than you than by AI. Ruba, inside an organization, how do you help power users who are using it a lot, kind of the example he gave of being the PC user where no one else was, how do you help those people diffuse their best practices, their learning to the other folks? And we see this in our data. There’s a big spread between the power users and the median users in most organizations. We call it capability overhang. Do you see that at Tata, and how do you think about solving these kind of issues to help more people learn how to use AI?

I mean, I think for us, even working across the group, the different companies, is something where a lot more collaboration, what we’re working on are platforms for us to be speaking to each other about best practices, what works and what doesn’t. So right now when we learn, for example, that in a lot of our manufacturing businesses on the shop floors using AI for safety, how could we use those best practices in other parts of our companies? So even just within us and across companies, can we share what’s working and what’s not? So it’s not. I think we have companies where, let’s say like a TCS that sees a broad section of sectors and what’s worked.

So you kind of learn that sectors like life sciences, you see these huge changes in drug discovery. But across all sectors, you see things like customer service, marketing, those things really being changed by AI. So I think right now at this stage, having those conversations about what seems to be working on the ground seems to be the most important. As we are going through the very difficult process of taking what are legacy systems, sort of lumbering systems, and trying to get the data that is in very different silos to even start talking to each other. So I think we acknowledge that that process is still going to take a lot of time, but we can see these sort of new cases where it’s actually taking time.

I just want to get Iqbal in here for a second, and then I’ll get back. Iqbal, what parallels are there to the development literature where we’ve found ways in education to teach people how to do new things, teach them how to start businesses, teach them sets of skills? Iqbal, what parallels are there to the development literature where we’ve found ways in education to teach people how to do new things, Iqbal, what parallels are there to the development literature where we’ve found ways in education to teach people how to do new things, and what parallels are there to the development literature where we’ve found ways in education to teach people how to do new things, can we teach people AI?

Can global institutions teach people AI? Can J -PAL do work in that area? Because it seems like an analog to sort of working with people inside enterprises, but maybe a different challenge.

Yeah, great question. I think we can. The question is, can we do it correctly, and who benefits from that teaching? So let me give you an example. You know, we are well aware of this literature in the business processing outsourcing, where, you know, once you provided AI tools to people, like the lowest performing BPOs, call center employees, they leveled up. And they leveled up to the higher skilled workers. Fantastic example of leveling of skills, and which is a win -win. We did a study in Kenya where we provided AI, chat GPT actually, tools to micro -entrepreneurs. Don’t think of these as sophisticated users. Think of these as grocery stores, a neighborhood stationary shop. And then what we see is that the average treatment impacts, this is early stages of chat GPT, the average treatment effects were zero.

So then you dig deeper into the data, and then you actually see something super interesting. The top entrepreneurs, the ones who are performing well, actually take chat GPT, and they do really well. Because they run with it, they understand how to do it, and they know what to do with it, and then, you know, the recommendations that come out of it. On the other hand, those who were lower performing earlier, you know, like chat GPT will give recommendations. They will say, oh, nobody’s coming. The demand for my product is low. It goes to Econ 101 and says, maybe you want to think about lowering your prices. Maybe you want to think about increasing your marketing budget.

And then, but how much should I lower the price? Should I lower it today? Should I just lower it for Diwali or whatever? You don’t know. So I think you raise a really important question. I think there are going to be some folks who are going to take these tools, run with it, and there are some of the folks who are going to need a little bit of hand -holding. And I think you’re absolutely right. We can do a much better job of helping them human integrate. This can be through originally the old models of teaching. But I actually think now that the tool is so powerful. It can teach people itself with these nuances.

And we’re releasing products to do that. We have a new jobs and certification platform coming that’s connected to that. Sanjeev, thanks for being patient.

I want to give a couple of examples of real things in our office. So we also invest in startups. So we’ve invested in about 130, 140 startups now. Now, every month, every quarter, the MIS is coming from these startups. Now, we’ve got very smart people in the investing team, in the portfolio management team. They’re all MBAs and CAs and things. So you know their stuff, right? But you just put in chat GBT, and you first of all do it yourself and chat GBT supplements. And then you say, okay, have I missed something? Is there a perspective here? Here, it’s helping them do their jobs better. It’s doing stuff that they might have missed, number one.

So therefore, it’s enhancing the productivity. And you can do many more analyses because you can ask 100 questions to chat GBT, and you may only ask yourself 10 questions, right? The second example I want to give is, so our marketing team in Jeevan Sati, a matrimony site, decided around Father’s Day. Let’s produce a film. father -daughter relationship. What my father means to me, and so on. Now, under normal circumstances, this film would not have been made. It would have taken six weeks and 60 lakhs to make. So it would not have been done. And life would have gone on. But it took about two days, using AI, for novices who never used that platform earlier, and now they’re saying they can do it in three hours, to actually make a film purely on AI and put it out on digital media, and it worked.

It was a big hit. Now this is stuff that’s not been done. Another example, there’s a surfeit of content. There are so many podcasts, there are so many interviews, this panel will also go to YouTube. So, you know, I can’t follow all of them. I’d love to, but I can’t. I just get a summary of a video from AI. I can do it in about three minutes. So I’m doing stuff I would not have done otherwise, and I would not have employed somebody. Nobody’s lost their jobs. for example, Nocatee has got about 130 ,000 to 150 ,000 clients. The top 20 % there’s a sales team that calls on them. The next 30 % there’s a tele -sales team that calls on them.

The bottom 50 % you don’t interface with because they don’t pay you enough. The sales channel is not worth it. Now we’ve got voice bots calling the bottom 50%. So we are serving an underserved market. Nobody’s lost a job yet. Now I’m not saying it won’t happen. Maybe it will. I don’t know. But thus far it’s not happened. And life is going on. And every quarter Nocatee is still growing. We are worried. We are concerned. We are apprehensive given the noise in the system about job losses. But it’s not happened yet. And we’re taking it quarter on quarter. And we are keeping our fingers crossed and hoping and praying it doesn’t happen. I don’t have the answers.

No, no. Look, none of us have the answers, I think. And I’ll close the panel on this. I did promise the team I would end this on time. I could talk to these guys for about three hours just to let you know. So none of us have the answers, right? At the end of the day, from our vantage points, we’re trying to solve these questions, right? Sanjeeva, you did a great job from a person who’s an investor who’s building things, trying to explain what you think is happening. And the idea of you making the movie, I think, is a good example of how you can do things you never did before with AI. Rupa, you’re in a large conglomerate with lots of different businesses, lots of different exciting things going on.

How AI diffuses across the organization, I think that’s something all of us should watch. It’s not easy for large organizations to adopt AI and implement it, and the ones that do it, I think, are going to be advantaged. And Iqbal, I think you leave us all something to think about, which is if we’re going to educate the world on AI, if we’re going to democratize AI, we’ve got to make sure we do it well. We can’t just talk about it. And I hope in all these cases, enterprise adoption, learning and teaching AI, and helping the cutting edge, that OpenAI can be your partner. So with that, I want to thank our amazing panelists and thank everyone in the audience.

I’ve got one last thing. We’re done. I’m so sorry. You’ve got to hear this. They’re giving me this. Does this mean that? Yeah, you’ve got to hear this. I’ve got colleagues coming and negotiating salary with me. I’ve checked on GPD. I’m paid 40 % less than I should be. And he’s saving money on salaries too, getting some more time. I love it. Thank you. Thank you. Thank you. Thank you.

Thank you so much, Rani. Thanks, Sanjeev. Thanks, Rupa. And thanks, Iqbal. We do have more sections coming up. I’d request everyone to stay back before we complete this session. I’m Kavita Gunjikannan from the Global Affairs team at OpenAI. We want to take a moment to celebrate a few education partnerships that we announced just yesterday.