Tata Consultancy Services (TCS) plans to invest between $6 billion and $7 billion over the next five to seven years to build up to 1 gigawatt (GW) of data center capacity dedicated to artificial intelligence (AI) infrastructure. Announced during its Q2 FY2026 earnings call, the initiative marks a major shift toward capital-intensive AI infrastructure, positioning TCS as a key contributor to India’s sovereign AI ambitions.
CEO K. Krithivasan said the company aims to become the “world’s largest AI-led technology services company,” with a new subsidiary focused on AI infrastructure. The planned facilities will function as “passive data centers” – standby infrastructure supporting clients during disruptions. TCS expects to spend about $1 billion per 150 megawatts of capacity, with revenue generation beginning in 18–24 months. The company plans to fund the buildout through a mix of partner equity and debt.
The data centers will be hosted entirely within India, targeting AI startups, hyperscalers, and government entities – a move aligning with India’s data localization and sovereign cloud goals. CFO Samir Sekhsaria called the initiative a “natural adjacency” to TCS’s core business. For Q2 FY2026, TCS reported $7.47 billion in revenue, up 0.6% sequentially, with a 25.2% operating margin. The company expects long-term, annuity-based revenue to offset near-term capex impacts.
• TCS aims to reach 1 GW of AI data center capacity within 5–7 years.
• Initial phase to generate revenue in 18–24 months.
• India’s current installed data center capacity is ~1.2 GW.
• ICRA projects India to reach 2.5 GW by FY2028; Colliers forecasts 3.5–4.5 GW by 2030.
• Competing projects: Reliance Industries (3 GW in Gujarat) and Adani–EdgeConneX (1 GW).
“We have set a target of 1 GW. We will be doing it in phases. We expect to do 1 GW in 5–7 years,” said K. Krithivasan, CEO of TCS.
🌐 Analysis: TCS’s entry into AI data center infrastructure signals a strategic pivot from its traditionally asset-light services model. The move aligns with national initiatives for digital sovereignty and mirrors global trends as Microsoft, Amazon, and Google commit tens of billions to AI infrastructure. Its success will hinge on managing capital efficiency while securing anchor tenants and ensuring energy reliability within India’s expanding AI ecosystem.
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