India plans to update its national cooling policy to include hyperscale AI data centers as capacity targets rise to 12 GW by 2030. For investors, this shift signals potential regulatory mandates that could increase operating costs while favoring companies adopting energy-efficient liquid cooling technologies.
India is working to align its rapid digital growth with climate goals by proposing updates to the India Cooling Action Plan (ICAP). As the nation targets a surge in data center capacity from 1.5 GW in 2025 to 12 GW by 2030, the energy required to sustain these facilities has become a focal point for policymakers. Projections suggest that data centers could draw nearly 26.3 GW of power annually by 2031-32, highlighting the urgent need for a more sustainable operational framework.
A major hurdle in this expansion is the thermal output of modern AI hardware. Data centers currently allocate between 30 and 50 percent of their total energy consumption to cooling systems. With traditional cooling methods often relying on significant water resources and electricity, the sector faces pressure to adopt more efficient alternatives. Policymakers are now considering the integration of hyperscale data centers into the ICAP, which currently focuses primarily on building HVAC and logistics.
For investors, the potential inclusion of data centers in national cooling policy could lead to stricter regulations, such as mandatory Power Usage Effectiveness (PUE) benchmarks. PUE is a standard measure of how efficiently a data center uses its energy, with lower scores indicating better efficiency. If the government mandates these benchmarks, firms that have already invested in advanced cooling tech—such as direct-to-chip liquid cooling or immersion cooling—may see a competitive advantage over those relying on older, power-hungry systems.
Beyond technology, the regulatory shift may also influence where new data centers are constructed. Experts suggest that future policies could encourage locating server farms in states that offer resource advantages, such as regions with high solar capacity for power or better water availability. This geographic optimization could help companies lower their long-term operational costs and align with environmental, social, and governance (ESG) goals.
While this policy evolution aims to prevent a strain on national power and water grids, it introduces new variables for business models. Companies that fail to adapt their cooling infrastructure to meet potential new standards could face higher compliance costs or limitations on future expansion. Investors should monitor upcoming government circulars regarding data center cooling standards, as these will likely determine the pace of capital spending required to meet future sustainability requirements. Tracking how firms manage their energy mix and water usage will be critical to understanding their long-term profitability in an increasingly energy-conscious market.