TCS Chairman Predicts AI Agents Will Equal Human Workforce Within 3 Years

Tata Consultancy Services Ltd. is preparing for a major shift in its workforce, with N. Chandrasekaran forecasting that automated assistants will match human staff numbers within three years. The Chairman told shareholders that this change will define the company’s next phase. Chandrasekaran framed the plan as central to work TCS carries out for clients and for India.

Chandrasekaran said, "I predict that over the next 3 years, TCS will have as many AI agents as human employees. What we build in this next chapter - for our clients, for India, and for you - will be the most consequential work this company has ever done," during the Annual General Meeting. The statement underlined how central artificial intelligence has become inside TCS.

Enterprise AI, context and trust shape TCS strategy

Chandrasekaran argued that technology models alone will not decide leadership in enterprise AI. According to Chandrasekaran, "In enterprise AI, the scarcest resource will not be the model. It will be context and trust," pointing to regulatory familiarity and long client ties. Chandrasekaran said these factors matter more as companies scale AI across borders and sectors.

Chandrasekaran explained that TCS has worked for years inside client systems, handling upgrades and difficult exceptions. "TCS has spent years with customers, maintaining software, managing change and learning the exceptions that never appear in architecture diagrams," Chandrasekaran said. Chandrasekaran added that new entrants can close skill gaps, but not experience. "Of course, the AI talent gap between established firms and new challengers can be closed. But established firms still have the edge on what matters most: context and trust. This derives from deep regulatory knowledge, strong client relationships and decades delivering projects across borders. All will be of profound importance in the era of enterprise AI," Chandrasekaran said.

Enterprise AI extends from software to physical operations

Chandrasekaran noted that artificial intelligence mainly sits inside software and computing systems at present. Chandrasekaran said AI will soon spread into physical spaces such as shops, factories, warehouses, energy grids, vehicles and supply chains. "This will require experts who understand how to link IT, AI and physical equipment and infrastructure," Chandrasekaran said, outlining new skill needs for enterprise AI projects.

To show how enterprise AI can work on the ground, Chandrasekaran described a project for a global agribusiness client. TCS deployed an “agentic + physical AI” system with a four-legged robot carrying cameras and sensors. The robot patrols dangerous warehouse zones that earlier depended on human staff. Chandrasekaran did not disclose the company’s name while sharing the example.

Within TCS, Chandrasekaran said the shift towards enterprise AI is visible in revenue data. In the last quarter of fiscal 2026, the company reported annualised artificial intelligence revenue of $2.4 billion. Chandrasekaran said this figure is expanding at a compounded quarterly growth rate of 22.4%. The numbers suggest AI work is becoming a key business line for TCS.

Chandrasekaran also stressed that organisations cannot benefit from enterprise AI if data remains scattered in legacy systems. Companies must organise information and connect long-running IT platforms that have grown over decades. Chandrasekaran said these integration tasks sit within TCS’s traditional strengths. "Across all five areas, TCS is already building, delivering and proving," Chandrasekaran said, arguing that the company is already acting on these opportunities.