India’s second-largest information technology (IT) firm, Infosys, has reported that its Generative AI (Gen AI) projects surged by over 75 percent to over 400 in FY25.
“We have successfully delivered over 400 generative AI projects by bringing Infosys Topaz, our generative and agentic AI-powered services and solutions,” the company said on June 2 in its Annual Report 2025.
Last year, Infosys had said it was working on 225 Gen AI programmes for clients.
Addressing shareholders last year, Nilekani had said the company has created 23 AI industry blueprints to solve industry-specific challenges.
Meanwhile, the Bengaluru-headquartered company said more than 2.7 lakh of its 3.2 lakh employees are now “AI-aware,” thanks to the company’s extensive digital reskilling programs at the end of FY25.
Infosys’ AI work now spans critical business functions such as process improvement, engineering, customer service, cybersecurity, and employee productivity.
Earlier, Infosys had announced that it had developed four small language models (SLMs) targeted at banking, IT operations, cybersecurity, and broad enterprise use.
“Our digital transformation is today enhanced with AI,” the company further said, adding that the move has positioned it as a leader in 58 digital offerings.
Nilekani’s Caution on AI, Geopolitics
Meanwhile, Infosys Chairman Nandan Nilekani, in the Annual Report, cautioned that enterprises must brace for unprecedented uncertainty.
“As we contemplate the developments of the last few months, we know we are in an era of uncertainty that we have never seen before. Multiple trends are colliding and leading us to re-examine the fundamentals of our businesses,” he was quoted as saying.
Nilekani highlighted that challenges posed by a fragmented geopolitical landscape, with tariffs and regional trade rules are reshaping supply chains. “As geopolitics becomes front and centre in our lives, we are having to take cognizance of the world not as one single global market but as fragmented blocs and countries,” he said, warning that firms must diversify sourcing and plan for “just-in-case” scenarios rather than relying solely on just-in-time.
The Aadhaar architect said modernising legacy systems and building data architectures that can be effectively leveraged by AI can no longer be delayed.
He also warned of regulatory variations across regions that could complicate AI adoption, adding that early enterprise AI experiences already reveal some of these hurdles.
Energy Transition
The IT and tech industry veteran further pointed to climate change and the energy transition as uncertainties, with technologies like solar, wind, batteries, and green hydrogen playing important roles. He said that “electricity will play a much bigger role” in the future, though progress will depend on grid expansions, new transmission lines, and regulatory adjustments.
Different industries are already trying to find a solution to their own unique transformations: automakers with EVs, pharma with AI-driven drug discovery, financial services with tokenisation, and logistics with supply chain reordering.
Nevertheless, Nilekani is bullish on Infosys’ unique value propositions: diversified portfolio of products and services across geographies, verticals, and technologies, and a consistent investment in workforce skilling.
“Even as Infosys strives to be a truly AI-first company, there is a simultaneous and equal focus on being at the forefront of sustainability. In every way, we seek to continue to rank among the world’s most respected companies,” he said.
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