TCS is investing in 8,900 AI deployment engineers to safeguard India's IT services model.

      Tata Consultancy Services (TCS) intends to establish a team of up to 8,900 forward-deployed AI engineers and is seeking acquisition opportunities in AI and cybersecurity, according to CEO K Krithivasan. This initiative represents a response from India’s largest IT firm to a pressing concern within the sector since the emergence of agentic AI in enterprise operations: whether the industry that sells engineering labor still has viable offerings.

      Krithivasan noted that TCS aims to convert approximately 1% to 1.5% of its associate pool into forward-deployed engineers. With a total workforce of 593,798 at the end of June, this conversion would involve around 5,900 to 8,900 individuals. The term "forward-deployed engineers" is adapted from AI labs, where these engineers work directly within client organizations to implement models effectively. Chief Operating Officer Aarthi Subramanian characterized them as specialists with broad skills but deep expertise in specific areas, often called upon when initial implementations do not transition smoothly to production.

      Krithivasan has positioned this program as proof that AI generates jobs rather than eliminating them. He did not clarify whether these engineers would be hired externally or retrained internally, and given the large employee base, this distinction is quite significant.

      In the June quarter, TCS added 9,279 employees, marking its second consecutive quarter of workforce growth after a period of contraction. Net profit increased around 5% year-on-year to ₹13,349 crore, with revenue rising 14% to ₹72,275 crore and an operating margin of 24%. Krithivasan stated that the results, which also included a ₹12 interim dividend, reflect ongoing growth momentum and strong strategic positioning amidst geopolitical and macroeconomic challenges. A 14% growth rate does not suggest a company in decline, but it remains to be seen if this trend holds.

      During the quarter, TCS reported an order backlog of $9.5 billion, including an AI-driven transformation agreement with the Swedish company SKF. The firm indicated that its AI division is now generating an annualized revenue rate of $2.6 billion, according to its own reporting. This figure is crucial for investors, as it distinctly separates AI revenue from other streams.

      The underlying concern prompting this strategy is clear. India’s $315 billion IT services sector thrives on labor, and clients who perceive that AI could reduce project durations will likely expect a portion of that productivity increase to result in lower pricing.

      Acquisitions form another part of the strategy. Krithivasan mentioned that TCS is exploring potential targets in AI and cybersecurity, though he did not reveal any specific candidates, budget, or timeline.

      TCS is not the only company trying to align more closely with the model layer. Anthropic's $100 million Claude Partner Network attracted Accenture, Deloitte, Cognizant, and Infosys into its enterprise ecosystem in March, indicating where integrators anticipate profit margins will settle.

      Additionally, India is aiming to ascend the value chain in both hardware and services, with CG Semi commencing commercial chip production at its $870 million facility in Gujarat this month. For the first time, service giants and semiconductor manufacturers are pursuing the same clientele.

      However, TCS has not shared how it plans to price the forward-deployed engineers. Consulting firms have traditionally charged by the hour, and pricing an engineer whose role is to reduce labor hours poses a challenge in terms of billing.

      The company will release another report in October, by which time the pivotal metric will not just be the 8,900 figure, but whether the $2.6 billion AI revenue rate has grown at a pace surpassing that of the business it is expected to impact.