Brookfield, the global investment firm, projects that India will need 6.5 gigawatts of data center capacity dedicated to artificial intelligence — a figure that dwarfs the country's existing infrastructure. The forecast, shared by the company's executives, underscores the explosive growth in AI computing demand and the massive energy requirements that come with it.
The scale of the projection
To put 6.5 GW in perspective, India's entire current data center capacity — including both traditional and AI workloads — is estimated at less than 1 GW. The Brookfield projection suggests that AI alone will require more than six times that amount. The company did not specify a timeline for when this capacity would be built, but the number signals a bet on India becoming a major hub for AI workloads.
Brookfield is already a significant player in India's data center market through its portfolio company, BAM Digital Realty. The firm has been investing heavily in hyperscale facilities across the country, including in Mumbai, Chennai, and Hyderabad. The 6.5 GW figure likely reflects both planned expansions and new developments to meet surging demand from global tech giants and domestic enterprises racing to deploy AI.
Why India?
India offers several advantages for AI data centers: a large and growing digital economy, a skilled workforce, relatively low land and construction costs, and government incentives for data center investments. The country's data consumption is skyrocketing, driven by cheap mobile data and the proliferation of digital services. AI workloads, especially training large language models, require vast amounts of compute power and data storage, making India an attractive destination for hyperscalers like Google, Microsoft, and Amazon, as well as for AI startups.
However, building 6.5 GW of capacity is a monumental task. It requires massive capital expenditure, reliable power supply, and robust fiber connectivity. India's power grid already faces challenges, and data centers are energy-intensive. Brookfield's projection implies a need for significant renewable energy investments to meet sustainability goals, as many tech companies have committed to carbon neutrality.
Challenges ahead
Land acquisition, regulatory approvals, and water usage for cooling are other hurdles. India's data center industry has grown rapidly, but scaling to 6.5 GW would require coordinated efforts between the government, utilities, and private developers. Brookfield's track record in infrastructure development could help, but the sheer size of the projection raises questions about feasibility and timeline.
The company's forecast also highlights the broader trend of AI driving unprecedented demand for data center capacity globally. In the U.S., similar projections have led to concerns about grid capacity and delays in interconnection. India's situation is no different, though the country's renewable energy push and digital infrastructure initiatives could provide a foundation.
Brookfield did not disclose specific locations or partners for the planned capacity. The company is expected to provide more details in upcoming investor presentations. For now, the 6.5 GW figure stands as a bold statement about India's role in the AI revolution — and the scale of investment needed to make it happen.
