mented in a way that society starts seeing benefits in a very inclusive way. I mean I think politicians will put their weight behind it.
I've got one or two questions but I'm just going to prep the room. If you have a particular questions start computing them. I'll come to you in about 2 minutes. Um you've been big on diffusion and you've just talked to us about the bottlenecks and why it's so important. You've also launched recently a path towards diffusion. I think by 2030 you want 100 pathways. Just open that up for us a little bit.
Well, basically the idea is that when we did the DPI things, when we took Indian DPI thinking global, we set a target for ourselves. We'll get to 50 countries in 5 years and we're already at about 39 countries. So we like to be target oriented. So this time we are saying that if we all believe that AI diffusion is the way to go, can we create 100 different ways of achieving AI diffusion in different sectors? It could be in agriculture. It could be in education. It could be in healthcare. And a diffusion pathway is not technology alone. It's the whole box, whole bag of things. How it's implemented? Who are the institutions we have to bring on board? What is government policy required? How do we build trusted data? How do we make sure that the sovereignty of data is protected? There's a whole playbook. It's like a playbook for each of them. So we call that as a pathway and we're saying if we can do hundred of them globally then we'll make a small dent in the argument of how AI is a force for good and we're hoping that the ones we're doing today in agriculture and education all will multiply. It's really more a, it's not a technology alone, it's really a whole package of how to do.
And if I can just take one on the other side of the job loss which is productive gain. Where are you on the AI scale? So there's the abundance lot again, the abundance lot in California, there's the frugality lot over here and then there's the how do you achieve productive gain. What's your take on this?
No, I think productivity definitely AI has a lot of potential of productivity gain but I think we should distinguish between individual productivity, group productivity, enterprise productivity and national productivity. So individual productivity is a no-brainer. You know I can use these tools, say a cowork this and that and we do all kinds of things and I can be very pleased with myself. So that's probably very high. But when you get to a group, the productivity drops because there's you have coordination costs getting people together. When you take it to an enterprise, it drops even further. And you take it to a society though it drops. So I think while there is productivity benefit, we cannot extrapolate from an individual becoming more productive to a society becoming more productive and that's the fallacy of all this. So I think yes there will be productivity gains and definitely things will have a substantial impact but it'll not be at the pace of how an individual improves.
And last one on governments. Do you find generally governments are willing to integrate AI, integrate into workflows and see it as part of their future? Do you see a lot of hesitancy?
Certainly. I think India will embrace AI for the reason that Indians have seen the power of digital in their world. Right? Today we have a woman in a village can get an Aadhaar. With Aadhaar she can open a bank account, get a mobile connection. She can start a small shop, borrow some money, start selling vegetables or coconuts. She can get a digital history of that with UPI. She can take that history and use the account aggregator system and get a loan and grow her business. So we have created a path of aspiration for a billion people. So they all see the power of technology. So because they see that they are positively disposed towards technology and that's what makes India the ideal place to try out all these things to make AI work for people.
AI work for people, good note to go to people. That's all of you there. Perhaps I could turn to the Rina fellows to start with. I see a lot of hands up. Um the Rina fellows if anyone, I'm going to privilege you first. So if you have any particular questions, how would you know he's a Rina fellow? Yeah they're all in one block sir so we've got them in. Yeah. Any questions from this side of the room? Yeah, please go ahead. Can we get the gentleman a mic? Um I think you just have to walk up to the mic there.
Yeah. Hello. Uh sir, I am Abhishek Jen. Uh I am the raisin young fellow for this year. So I am a semiconductor professional and my question is basically on what you said. So as AI models are becoming concentrated in a few global com, as you know like in semiconductor we have lost on the manufacturing in India, are we risking the same thing with the AI LLM models and technology? So from consumer to producer how can we actually on the back to the models question.
Yeah. So I think the way to think about it is it's about timing. Right now we should deploy it to make it make a difference and that's very hard to do by the way. It's not easy to pull it off. We have to make that happen and over time the models will proliferate as it is already happening. The models will become cheaper to build and the knowledge of building models will become ubiquitous. At that time you build your own model. It's not a big deal. Why? It's just a question of sequencing it.
Okay, thank you. It's a good challenge I think for you guys there. Yeah, next one. Please go ahead.
Good afternoon, sir. My name is Utkash. I'm a Rena young fellow from the 19 cohort. You touched upon productivity at national levels, individual levels, society levels. I was wondering if you had any comments on what happens to achievement which is far more subjective and a lot of philosophers say that the sense of achievement with the infusion of AI tends to drop.
Well, I think that's why I think we need to think of AI as a way of amplifying human potential, amplifying human ability, achieving allowing humans to strive to achieve more. And I think that's the way to get that AI going. I think if you agree with you, it's something that makes you does everything for you, then you know you stop thinking. So definitely at least the work that we do is how to make AI amplify human skills and achievements.
Yeah, we got another question there. Please go ahead.
Hi, I'm Wim, co-founder of a quantum tech startup based in London. My question is where do you see and also how do you see AI and quantum technologies converging in the future to have the most impact in India?
AI and quantum, what's the equation there? No, I think there are many implications of quantum when it comes. It's going to have an impact on cryptography. It'll have an impact on building a computer that will be even more powerful which AI will use. So I think they will have an interplay in the future but that's still down the road.
Namaskar. My name is Srian Kumar Prasad. So I have a question related to Aadhaar like why masked Aadhaar is not implemented for the nationwide because unmasked Aadhaar when you say that a woman at a village can get her rasan or any other essential services easily but she can also be a victim for the cyber crime because of the unmasked Aadhaar. So why not implement masked Aadhaar throughout the nation?
