India’s artificial-intelligence infrastructure expansion is beginning to draw the kind of long-duration financing traditionally associated with power, transport and other heavy infrastructure. The National Bank for Financing Infrastructure and Development, or NaBFID, has sanctioned more than ₹3,000 crore each to at least four data centre projects, highlighting the scale of capital now required to expand domestic computing capacity. The state-run infrastructure financier expects data centers to remain a significant source of project-finance demand as hyperscalers and large cloud providers deepen their Indian operations. The lending comes as AI workloads push developers toward larger facilities that require substantial commitments to power, cooling, servers and associated infrastructure before operators can generate revenue.

NaBFID Builds Long-Duration Data Center Financing

The structure of the loans reflects the unusually long development cycles attached to large digital infrastructure projects. According to NaBFID Managing Director Rajkiran Rai G., the sanctioned facilities can carry moratoriums of as much as five years, followed by repayment over the subsequent decade. Rai said such projects generate “good” cash flows despite their extended construction periods, while NaBFID has seen strong traction from hyperscalers and major cloud service providers. The financing model gives developers more time to move projects from construction into stable operations before significant principal repayments begin.

The timing also shows how India’s AI investment cycle is widening beyond chip procurement and software into physical infrastructure. Companies need reliable electricity, high-density cooling, network connectivity and increasingly sophisticated power systems to support expanding computing loads. Meanwhile, international capital is moving alongside domestic investment, with EQT AB, Blackstone Inc. and Alphabet Inc. among companies and investors announcing significant commitments involving India’s data centre and AI infrastructure. Domestic groups such as the Adani Group are also pursuing opportunities in the sector, adding another layer of capital behind the country’s capacity expansion.

India Faces ₹1 Trillion Data Center Funding Need

NaBFID estimates that India’s data centers will require about ₹1 trillion in funding through March 2031, placing financing capacity alongside land and power as a strategic constraint for developers. The estimate captures the capital intensity of facilities that can require large upfront commitments long before their computing infrastructure reaches full utilization. For lenders, operational data centers can offer recurring cash flows that make them compatible with longer-tenor infrastructure financing, provided projects secure adequate power, credible customers and sustainable operating economics. The distinction matters as developers increasingly pursue facilities designed around AI workloads, where power density and cooling requirements can materially reshape project costs.

However, NaBFID’s role extends beyond individual data centrer loans as the institution expands its own funding base for infrastructure lending. The lender plans to raise about ₹1 trillion during the financial year ending March, with roughly 40% of that borrowing expected from overseas sources by the end of December. NaBFID has already raised close to $1 billion through offshore loans under a concessional window available from the Reserve Bank of India until Dec. 31, and it has mandated foreign banks to arrange a 10-year dollar bond of a similar size by the end of September. That funding strategy could give the lender additional capacity to finance large infrastructure projects as India’s digital economy becomes a larger component of the national capital cycle. 

AI Infrastructure Turns Into Infrastructure Finance

The significance of NaBFID’s data center exposure extends beyond the immediate loan pipeline. India’s effort to build domestic computing capacity requires financing structures that can accommodate long construction periods, high initial capital requirements and cash generation that develops only after facilities become operational. The emergence of data centers as a lending category shows how AI is changing the definition of infrastructure, bringing computing facilities into the same long-term capital framework as other strategic assets. For developers and investors, access to institutions capable of matching financing duration with asset life could become increasingly important as India scales its AI and cloud infrastructure through the end of the decade.