TCS pursues more AI data centers in India as demand for infrastructure surges toward 2030

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Tata Consultancy Services is in advanced discussions with multiple hyperscalers to build AI data centers in India, following its recent OpenAI partnership. CEO K Krithivasan projects India will need 10 gigawatts of AI data center capacity by 2030, with only 5-6 gigawatts announced so far, creating a significant market opportunity for TCS.

TCS Advances Talks with Hyperscalers for AI Data Centers

Tata Consultancy Services is pursuing advanced discussions with multiple hyperscalers to expand AI data centers in India, building on its recent agreement with OpenAI. CEO K Krithivasan revealed the company's aggressive push during an interview at TCS offices in London, stating "We are having discussions with multiple other hyperscalers" and confirming the talks are at an advanced stage

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. This signals a fundamental shift in the TCS business model as the Mumbai-based IT services giant seeks to distinguish itself in an AI-driven market where traditional consulting revenue faces pressure.

Source: ET

Source: ET

The 61-year-old executive projects India will need approximately 10 gigawatts by 2030 to meet surging demand for AI infrastructure, yet only 5 or 6 gigawatts have been announced so far

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. "We are very, very bullish," Krithivasan said. "There is going to be lot of latent demand or unmet demand by 2030 so there is going to be a lot of investment required." This gap represents a substantial market opportunity for TCS to position itself as a critical player in India's technology adoption trajectory.

Source: Bloomberg

Source: Bloomberg

OpenAI Partnership Anchors Infrastructure Strategy

TCS announced its agreement with OpenAI at India's AI Impact Summit in February, committing to build facilities ranging from at least 100 megawatts to as much as 1 gigawatt. The data center investments mark a notable evolution for a company that traditionally provided consulting expertise to Western banks, airlines and corporations. While a 1 gigawatt data center typically costs $35 billion to $50 billion, TCS structures its investment more strategically

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Krithivasan explained TCS will help fund the physical structure—including racks, connectivity, power and cooling—at roughly $7 billion to $8 billion. TCS will contribute $1 billion, with partner TPG Inc. matching that amount, while debt financing covers the remainder. "We are looking at a fairly attractive IRR," he noted. The real value lies in what this AI infrastructure enables: scarce access to leading models and Nvidia Corp. chips that can differentiate TCS in a competitive landscape where cloud computing and emerging technologies constantly reshape client needs.

End-to-End AI Services as Growth Driver

The strategic bet centers on offering end-to-end AI services that span the entire technology stack. "To our customers, we will be able to offer end-to-end services," Krithivasan explained. "We can offer infrastructure, we can offer model training, we can offer agents, we can offer application intelligence. The entire stack, we can offer to our customers"

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. This comprehensive approach addresses a critical challenge: corporate clients are shifting IT spending away from traditional services toward AI investments, creating pressure on legacy revenue streams.

Arun Kejriwal, founder of Kejriwal Research and Investment Services Pvt., noted the urgency: "TCS needs to set a narrative on what it is that they are doing in AI. People still don't know what to expect of an IT services company as far as AI is concerned"

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. TCS shares have declined about 20% this year and roughly 23% since Krithivasan took over in June 2023, reflecting investor uncertainty about how the Tata Group company will navigate AI disruption, rising competition, and US visa policies.

Bridging Legacy Systems with AI Capabilities

Krithivasan rejects the notion that large language models will eliminate the need for complex enterprise systems. Banks, retailers and telecom players operate intricate infrastructure built over decades that must continue supporting employees, storing data, tracking inventories and serving customers. "Will the whole value chain be replaced by an LLM? It's a far-fetched thing. That's not going to happen," he said. "It's not that you can just go drop Anthropic in there"

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This perspective shapes how TCS approaches model training and application intelligence for clients. At the company's London innovation hub, clients experiment with tools like Lovable, a "vibe coding" platform that helps prototype applications rapidly. Ved Sen, TCS's head of innovation for UK and Ireland, guides visitors through possibilities ranging from productivity gains—completing software projects in a week instead of months—to fundamental business reengineering. The data center capacity TCS is building aims to support this vision, where AI augments rather than replaces existing enterprise technology while creating new demand for consulting expertise in a market where investment in AI infrastructure will define competitive advantage through 2030.

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