At 09:26 AM, Infosys shares traded at ₹1,081.50, up 19.40 points or 1.83 %. The stock hit a high of ₹1,085.50 in the opening deals, rising 2.2 % against the previous close of ₹1,062.10. The IT services giant extended its rally on Wednesday, October 14, with the share price moving 2 % higher in the early deals. Over the past five sessions, the stock has surged more than 8 %, reflecting sustained investor confidence in the company’s performance. This upward trajectory aligns with recent corporate earnings and sectoral optimism.

At 10:19 AM, the scrip stood at ₹1,088.05, up ₹25.95 or 2.44 %. It reached a high of ₹1,089.80 in the opening deals, up 2.6 % against the previous close of ₹1,062.10. The rally followed CEO and Managing Director Salil Parekh’s statement on Tuesday that Infosys’s AI services, which accounted for over 8 % of its revenue last quarter and are growing at a double‑digit rate sequentially, are likely to drive almost half of its work in two to three years. This projection underscores the company’s strategic focus on emerging technologies.

During the Bloomberg New Economy Forum 2026, Parekh elaborated that the AI services business—encompassing the building of AI agents, coding work and modernising legacy technology for clients—remains small relative to Infosys’s overall size but is expanding so rapidly that it could represent 20‑30 % of the company’s work within a few quarters if the current pace continues. He added that, extrapolating this growth, the segment might account for half of Infosys’s work in two or three years, signalling a significant shift in the firm’s service mix.

Parekh also highlighted workforce expansion, noting that Infosys hired 20,000 college graduates last year and plans to recruit another 20,000 this financial year. These graduates receive AI training before deploying the technology for clients and managing change. Of the company’s 3 lakh employees, about 80,000 are already engaged in coding tools for clients and internal projects, illustrating the growing emphasis on AI‑enabled solutions across the organisation.

Addressing client adoption, Parekh said enterprise customers already utilise AI services, yet they are evaluating lower‑cost tokens and open‑weight models to reduce expenditure. He noted that data has become critical to the AI ecosystem, and stricter sovereign data and cloud requirements are constraining some capacity build‑outs. The CEO warned of long‑term risks, including the high cost of chips, uncertainty over data‑centre relevance, and the potential for new AI models to slash inference costs. He also cautioned that a social backlash against AI, especially in Western markets, could materialise within five to ten years, affecting the industry’s trajectory.