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business
Published on
Sunday, July 12, 2026 at 01:09 PM

By James Kowalski — Center-Right Desk

TCS Plans 8,900 AI Hires, Eyes Acquisitions Amid Sector Shift

Tata Consultancy Services is assembling a team of up to 8,900 forward-deployed engineers and actively pursuing AI acquisitions, betting that artificial intelligence will generate new business opportunities rather than cannibalize India's $315 billion IT services sector. The strategic pivot comes as investors worry AI could shrink demand for traditional engineering teams and compress project timelines.

CEO K Krithivasan told Reuters the company plans to designate 1% to 1.5% of its workforce as forward-deployed engineers—specialists who embed with clients to accelerate AI adoption and customize tools for specific business needs. Based on TCS's end-June headcount, that translates to roughly 5,900 to 8,900 employees. Krithivasan didn't specify whether the company would hire externally or retrain existing staff.

Competing for Talent Against Tech Giants

The move puts India's largest software services firm in direct competition with OpenAI, Anthropic and Microsoft, all of which have ramped up hiring for forward-deployed engineers to help clients implement AI tools. It's a role that's emerged as one of the few hiring bright spots in a sector facing AI-driven efficiency gains that threaten to reduce headcount needs.

TCS is also evaluating acquisitions in AI, data security and cybersecurity—a departure from years of relying almost exclusively on organic growth until late 2025. CFO Samir Seksaria said the company is looking for targets that "will help us enable or enhance our strategic positioning."

Defending the Outsourcing Model

Krithivasan pushed back against concerns that AI would fundamentally disrupt the outsourcing business model. Companies still need partners like TCS to integrate and deploy AI systems, he argued. "What you need is a deep knowledge of the customer environment to make it work," he said. "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."

The CEO emphasized that companies increasingly use multiple AI models and require partners to connect those models with existing systems and manage data flows. That complexity creates opportunities for firms with deep technical expertise and client relationships.

Growth Trajectory Shows Volatility

TCS's annualized AI revenue growth slowed to 13% in the first quarter from 28% in the previous quarter, suggesting the path forward won't be smooth. Krithivasan said he'd like the business to grow about 25% quarter-on-quarter over the long term but doesn't expect a linear trajectory.

The company spends about $1 billion annually on talent development and making AI accessible internally, Seksaria said. That investment focuses on training, targeted hiring and niche recruitment in AI-native technologies—a recognition that the skills required for AI deployment differ significantly from traditional software services.

The Mumbai-based company's strategy represents a calculated bet that AI will expand the market rather than shrink it. Whether that proves correct will depend on whether enterprises need more help implementing AI than they save by automating traditional IT work.

Why This Matters:

TCS's aggressive push into AI deployment and acquisitions tests a critical question for India's IT services industry: whether AI destroys more jobs than it creates. The company's willingness to invest $1 billion annually in talent development and compete directly with Silicon Valley firms for forward-deployed engineers suggests management believes the market opportunity justifies the cost. But the slowdown in AI revenue growth from 28% to 13% in just one quarter reveals the uncertainty ahead. If TCS is right that companies need deep technical expertise to integrate multiple AI models with existing systems, the outsourcing model survives and potentially thrives. If AI tools become simple enough for clients to deploy themselves, the $315 billion industry faces serious headwinds. The next few quarters will show whether enterprise complexity creates enough demand to offset AI-driven efficiency gains.

Reviewed by the editorial desk — July 12, 2026
Last updated July 12, 2026

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