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Srikanth Velamakanni

Cofounder, Fractal

Search every verified Srikanth Velamakanni interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Srikanth Velamakanni, co-founder and group CEO of Fractal Analytics and chairperson of Nasscom, has recently discussed the impact of AI on the technology industry and workforce. In an October 2026 interview on The Core Report, he commented on US immigration enforcement actions against Indian tech companies, stating that every country has the right to enforce its immigration policies and that accusations of fraud should be treated as accusations until due process is completed. He also said the industry is shifting toward a focus on talent density over volume, noting that fewer, highly qualified workers can achieve more with AI tools. In other appearances, Velamakanni described the current period as an era of "artificial jagged intelligence," where AI excels at some tasks but remains weak at others, and argued that human judgment and ethics remain essential. He has compared AI to electricity, saying companies that rebuild their operations around it will gain an advantage, and has advised that CEOs must personally lead AI transformation efforts. He also discussed Fractal's history, including its decision to focus on large global clients and its recent initial public offering, and said that as AI becomes cheaper and more accurate than human labor, more work will shift to AI systems.

Recent appearances

Verified interview transcripts

Notable quotes

“If you look at the tech services companies, you have two pools of revenue that they're seeing. One is a shrinking pool and another is an expanding pool. So if you look at legacy tech services that Indian tech services companies have been doing for the last 20 years 25 years some of those like application maintenance services or business process management services infrastructure management services there's some expec”

“The world is moving to a place where the density of talent matters a lot more than the volume of talent. Essentially means that we need fewer but much more qualified people because with very powerful tools like AI, a very good developer can build 10x or 100x of what she or he was capable of let's say 5 years ago. It's just a different world. So in this the quality of talent matters a lot because well everyone can get”

“Any large scale transformation of this kind has to be owned by the CEO. I was in a bank last month in Australia, I was meeting the chief AI officer of the bank and he was telling me that their CEO is the fourth largest token user in the bank. So just imagine this is a very large bank like say five times the size of ICICI bank right or maybe even bigger and the CEO of the bank who's only 45 years old is the fourth lar”

“The question is at what duration of a task can AI match and exceed human performance in a reliable way and that number has been going up as new models are getting released. We've gone to almost 16 hours right now which means that a task that human being takes 16 hours of meticulous work AI can complete it in half an hour to 1 hour or maybe even less and do it better than human beings. That's beginning to happen in a ”

“We said, India is a market we will not serve. That was a big decision we made. And strategy is about not just about what to do, but actually about what not to do. And by saying we will not serve India, we created a rule, we call it the must-win client. And the definition was the company has to be at least 10 billion in revenue, 20 billion in market cap, or have 30 million end customers. And we made a list of about 1,”

“The cost of AI to do a piece of work is significantly cheaper and more accurate than the human cost of doing that, you will see that AI will replace that human time. It's going to happen. It's going to go down. So it's going to become more and more attractive and cost of human time is going to go up as we become more and more developed as a civilization. Cost of human time goes up. Cost of AI goes down. So that econo”

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