July 12, 2026, (Inside AI) — Tata Consultancy Services, India’s largest software services firm, is assembling a forward-deployed engineering force of up to 8,900 specialists and actively hunting for AI acquisitions. The strategy, confirmed by two top executives, signals a bold bet that artificial intelligence will expand its business rather than undercut the outsourcing model that built India’s $315 billion IT sector.
CEO K Krithivasan told Reuters the company aims to designate 1% to 1.5% of its workforce as forward-deployed engineers (FDEs). Based on TCS’s end-June headcount, that translates to roughly 5,900 to 8,900 employees. These engineers embed directly with clients to speed up AI adoption and customize tools. Krithivasan did not specify if the roles would be filled through external hiring or retraining existing staff.
The move comes as investors worry that AI could disrupt the industry by shrinking demand for traditional engineering teams, compressing project timelines, and forcing price cuts as clients push for productivity gains. Yet TCS is doubling down on a high-touch, client-embedded model that echoes strategies at OpenAI, Anthropic, and Microsoft, all of which have expanded FDE hiring to help enterprises deploy AI.
CFO Samir Seksaria revealed the company is evaluating acquisitions in AI, data security, and cybersecurity. This marks a shift for the Mumbai-based giant, which historically favored organic growth and only began reconsidering deals in late 2025. “We are looking at where we can find things which will help us enable or enhance our strategic positioning,” Seksaria said.
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The Talent Gambit Behind TCS’s AI Pivot
Krithivasan pushed back against the narrative that AI will hollow out outsourcing. He argued that companies still need partners like TCS to integrate complex systems. “What you need is a deep knowledge of the customer environment to make it work. That is where we differentiate ourselves. This has nothing to do with cost arbitrage. It’s essentially because of the talent pool that we have built,” he said.
He noted that enterprises increasingly juggle multiple AI models and rely on integrators to connect those models with legacy systems and manage data flows. The FDE role has become a rare hiring bright spot in a sector grappling with AI-driven efficiency. TCS spends about $1 billion annually on talent development and internal AI accessibility, focusing on training, targeted hiring, and niche recruitment in AI-native technologies.
However, TCS’s own AI revenue growth slowed to 13% annualized in the first quarter, down from 28% the previous quarter. Krithivasan said he would like the business to grow about 25% quarter-on-quarter over the long term but cautioned against expecting a linear trajectory. The deceleration underscores the challenge of scaling AI services even as demand for deployment expertise rises.
The FDE model is not new. Tech firms like Palantir pioneered embedding engineers with clients to solve messy integration problems. TCS’s version leverages its massive bench of 600,000+ employees and decades of client relationships. But skeptics question whether retraining existing staff can match the specialized skills of AI-native competitors. The company’s acquisition hunt suggests it may buy rather than build some capabilities.
India’s IT sector has weathered disruption before, from the Y2K boom to cloud computing. Each wave forced firms to retool. This time, the stakes are higher because AI threatens the core labor-arbitrage model. TCS’s response—doubling down on proximity to clients and domain expertise—could set a template for the industry or prove a costly misstep if AI tools become self-service.
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Meanwhile, TCS’s acquisition appetite could heat up dealmaking in India’s startup ecosystem. AI and cybersecurity startups may find a ready buyer as the company seeks to plug gaps. The strategy also pits TCS against global giants like Accenture, which has invested billions in AI and cloud capabilities. The battle for AI deployment talent is only beginning.
