Inside India newsletter: Asia’s hottest data center market aims to quell concerns over water and power use

A data center is a facility that houses computer systems, storage, networking equipment, and related infrastructure. The source does not provide a formal definition, but this is the standard meaning. Hyperscale companies need many such facilities because their online services and artificial-intelligence systems operate at very large scale and need dependable capacity.

India is being targeted by major U.S. technology companies building digital infrastructure. Google is constructing a reported $15 billion AI data-center project in Visakhapatnam. Amazon is also developing a facility near Mumbai. These projects need suitable land, reliable electricity, cooling, water planning, and high-quality connectivity.

The scale creates public-policy challenges. India wants to attract investment, but local governments must ensure that projects do not strain supplies used by households and businesses. The proposed national policy is expected to guide locations, approvals, sustainability, and resource planning before shortages or public resistance become more serious.

India’s data-center sector is attracting investments worth billions of dollars from several U.S. Big Tech companies. The projects are intended to expand digital infrastructure and make India a major location for hyperscale capacity. However, the article does not provide one combined figure for all planned investments.

The clearest project figure is Google’s reported $15 billion AI data center in Visakhapatnam. Amazon is also building or developing a data center near Mumbai, though the article gives no value for that facility. The article describes the companies’ broader spending as billions of dollars.

This scale explains why the government is preparing a national policy. Large projects can bring digital capacity and investment, but they can also create pressure on electricity, water, land, and local approvals. The policy is expected to make investment easier while requiring stronger evidence that infrastructure and safeguards are ready.

Objections focus on whether data centers could compete with communities for basic resources. Residents worry that large facilities may receive priority access to water and electricity when supplies are already short. Environmental groups also question whether projects can be built sustainably and whether existing permissions adequately protect local interests.

Near Mumbai, residents are resisting Amazon’s data center because they fear it could receive priority access to water and electricity during shortages. In Visakhapatnam, environmental activists are demanding cancellation of permissions given to AI data centers, including Google’s reported $15 billion project. These disputes show how local impacts can trigger resistance to national investment plans.

The conflict is partly about planning. Experts say local governments have proposed projects in places already facing infrastructure constraints. The proposed policy would encourage locations with available water, reliable electricity, cooling infrastructure, and connectivity, while adding clearer approvals and local safeguards.

Data centers can become major users of electricity and, depending on their cooling arrangements, water. When supplies are limited, competition with large facilities could leave less capacity for homes, shops, and businesses. It could also make infrastructure planning and public services more difficult in already constrained areas.

The article gives a direct warning from Jitin Prasada, a junior minister, who said India wants to avoid consumers paying more for power because they compete with data centers for supply. Residents near Amazon’s Mumbai project separately fear priority access to water and electricity during shortages. Amazon disputes some concerns, saying its facilities do not use water for cooling and do not draw electricity from the local distribution network serving nearby users.

The proposed policy aims to prevent these outcomes through better location decisions and approval rules. Faster approvals would apply when resource readiness, local safeguards, and public value are demonstrated. Without that planning, public opposition and execution delays could grow.

The proposed national policy is expected to balance data-center investment with infrastructure readiness and sustainability. India currently lacks a dedicated national data-center policy. Projects are approved under existing environmental and building rules, while states apply different variations and incentives. This fragmented system can create uncertainty for developers and communities.

The policy is expected to provide clear, consistent approval guidelines. Niti Aayog has already shared a framework for local governments to assess sustainability and identify suitable locations based on grid readiness and water availability. Faster approvals would be appropriate only when resource readiness, local safeguards, and public value are proven.

The change could also address land acquisition and coordination across agencies. Regional governments will remain important because they control decisions about land, water, and power. The intended result is investment directed toward places with reliable electricity, cooling infrastructure, water, and connectivity, rather than locations chosen mainly to announce large projects.

Data centers may reduce pressure on local resources through water-saving cooling systems, cleaner electricity, and careful site selection. These approaches are established options in data-center planning, but the article does not compare technologies or quantify their benefits. It does identify resource readiness as central to responsible development.

The article provides one company-specific example. Amazon says its data centers do not use water for cooling and do not draw electricity from the local distribution network serving homes, shops, and businesses. Niti Aayog’s framework also asks local governments to evaluate grid readiness and water availability before selecting locations.

The proposed policy could make these principles part of project approvals. Experts want states to identify sites with reliable electricity, substantial cooling infrastructure, available water, and high-quality connectivity. Better choices could reduce local conflict, but the article does not state which cooling systems or power sources will be required.

Data centers support large digital systems, so they require dependable electricity, cooling infrastructure, land, and high-quality internet connectivity. The article does not explain the engineering in detail, but these resources are necessary to build and operate facilities reliably. Hyperscale companies need especially large capacity because they are establishing major digital infrastructure in India.

The practical mechanism is visible in the proposed planning framework. Niti Aayog wants local governments to assess sustainability, grid readiness, and water supply before approving locations. Experts also say states should identify areas with reliable electricity, substantial cooling infrastructure, water availability, and high-quality connectivity.

These requirements matter because some proposed sites already face constraints. Nikhil Narendran said local governments are proposing projects in places with limited electricity, water, and other infrastructure. India’s policy is therefore expected to connect approvals with resource readiness, rather than rewarding announcements without adequate local capacity.