At Tata Consultancy Services' (TCS) 31st Annual General Meeting on June 9, 2026, Tata Sons Chairman N. Chandrasekaran made a striking prediction: TCS is set to have as many artificial intelligence agents as human employees within the next three years. Chandrasekaran positioned AI not as a threat, but as the most significant growth opportunity in the company's history.
Addressing investor concerns about AI's impact on the IT services industry, Chandrasekaran emphasized that AI fundamentally expands the scope of what technology can achieve. He stated, "Far from being a mortal threat, AI is the most significant opportunity yet for enterprise IT." He likened the AI transition to previous technological revolutions, such as steam engines and cloud computing, asserting that reduced intelligence costs will unlock entirely new business transformations.
TCS is already experiencing substantial growth in this area, with annualized AI revenues reaching $2.4 billion in the final quarter of fiscal year 2026, demonstrating a compound quarterly growth rate of 22.4%. Chandrasekaran described AI as "infrastructure – an infrastructure of intelligence," highlighting its pervasive potential to reinvent processes, decisions, and customer interactions across all industries.
Five Key Opportunities for AI Growth
Chandrasekaran outlined five major areas that will define the next phase of growth for TCS and the broader IT services sector:
- Modernizing enterprise technology infrastructure.
- Redesigning business processes using AI.
- Managing and governing AI systems.
- Building sovereign AI capabilities.
- Deploying AI in the physical world through robotics and connected infrastructure.
Among these, AI governance was singled out as a potentially significant recurring revenue stream. "If maintaining applications was the defining annuity of the last era, governing intelligence will be the defining annuity of the next," he noted, stressing that AI agents learn, act, and can drift, necessitating continuous oversight.
Context and Trust: The Scarcest Resources
The Chairman also underscored that successful enterprise AI adoption hinges less on access to AI models and more on an organization's ability to integrate them into existing systems while maintaining trust, compliance, and regulatory oversight. He asserted, "In enterprise AI, the scarcest resource will not be the model. It will be context and trust." The global enterprise IT industry, currently valued at approximately $1.6 trillion, is projected to reach $3 trillion over the next decade, fueled by AI-driven ambition across sectors.