Interviewer11:10
You have said in an interview that you want to make 197 Communications and Paytm as AI-first companies. What does that mean? Earlier, Sandeep sir was talking, and if Sandeep sir is in this audience, I want to say in front of you: a leader who removed ratings in the company did this thing, and such a mesmerizing conversation was going on. I was also thinking how he is talking so much. So for him it was... Now going back to AI. Fundamentally, let's talk about the concept of what AI trigger is. Typically, we always needed something as an assistant. The computer ATM came, where you could deposit and withdraw money. Computers did a lot of work slowly, slowly. But human superiority always remained: you know what you want to do. Around us, except for humans, the maximum brain is considered, say, a chimpanzee, or the generation that we believe has intelligence. So intelligence was an exclusivity of humans. AI has just reset that. Now the machine can be equal and more intelligent in a topic, and over all topics, it's actually phenomenal for humankind. It's not a discovery of electricity or the wheel. It's literally that you now have a capability that there is somebody, something, rather than body, who is more capable than an individual could be. And that would mean extraordinary amounts of productivity, extraordinary outcomes, and productive life that we all will live. Just like right now, many of us don't know how life used to be before WhatsApp, Paytm, and QR—before smartphones, we don't know life. I can take a bet that from 2030 onwards, many of us will not be able to believe that there was a life without these machines. How are you? Very serious? You should be a link, my friend. You don't know what childhood was like. Mom used to scroll pages, right-click open, then scroll again. Then a pop-up would come. To get knowledge from one page, we used to browse so many pages. That's how we will talk. And you have already seen it. This is the nearest that is happening. So from content generation to the decision of operating something, there will be extraordinary phenomenal productivity enhancement in the world. And we are talking about credit, and I can say this very comfortably. I am very proud that we actually use Cibil. So I am very happy to say that we not only use it, but I see the progress it is making. It is a machine that will be continuously updated and will be able to take decisions. So although the chief risk officer and commandant will remain, it will be more like a pilot in an aircraft. The machine will run on Cibil-powered autopilot, but a chief risk officer and the entire underwriting team will still exist so that the aircraft doesn't automatically take off and land on its own giving loans. But the efficacy and efficiency will become so dramatic. The word we were discussing—how will you include the new generation for financial inclusion? It will be out of it. As soon as the cost of payment lowered, it reached everywhere. As soon as processing credit, disbursing it, and collecting it becomes easy, it will go further. I mean, the cost of credit servicing will reduce, cost of capital will reduce. You can see it everywhere. So, AI in my opinion, whether we talk in the context of credit, Cibil, financial inclusion, or everyday life, productivity—I am shocked that many of us are not living the euphoria and excitement that I see in myself.
You are euphoric. You mentioned productivity many times in this conversation. Does your team fear that with productivity, what will happen to them? No, our team knows that we have a rocket in our pocket, and with that rocket we are going to another planet. In other words, it is so productive. The world will be split between those who leverage technology and those who don't. Exactly this will be the split: you leverage AI or you are not part of AI. In my opinion, most of us will, and there is no reason for it not to be. So as a company, we believe we are early in this; we can build many use cases, models, and methods that will be a benchmark for many to follow. So we are happy to be the leader of trial and error and building something, and that will give us an edge in the market. So for us, it is the differentiation: what used to be done in many years in the past could be done in one year next.
Absolutely. One of the comments here about AI, and you have the IBM C? You talk about it: most of the use cases today are around efficiency, only one or two in 10 cases are around revenue.