Google defends $15 billion Vizag AI hub as water fears, land disputes and protests put project under scrutiny

A data centre is a facility filled with powerful computer systems, storage equipment, networking hardware and supporting infrastructure. It processes and stores digital information. This matters because AI services depend on large facilities that can handle demanding computing workloads reliably.

Google is planning a major AI and digital infrastructure hub in Visakhapatnam, Andhra Pradesh. The company describes it as its largest AI hub outside the United States. The facility is part of Google’s planned $15 billion investment in India between 2026 and 2030.

The centre is expected to become operational in 2028. Its location offers connectivity and access to international submarine internet cables, according to Google. The project could bring economic activity, but residents and campaigners remain concerned about water, electricity, ecosystems, land acquisition and local employment.

Google’s planned investment in India is $15 billion over five years, from 2026 to 2030. The Visakhapatnam facility is expected to begin operating in 2028. These figures show the project’s exceptional financial scale and its intended long-term role in India’s AI infrastructure.

Google says a typical data-centre project employs about 4,200 construction workers each year during a three-to-five-year building period. Once operating, it supports hundreds of specialist on-site roles. Google estimates this development could generate around $688 million in local economic activity annually.

The Andhra Pradesh government has projected 188,000 direct and indirect jobs from the development. Campaigners question that number, arguing that a capital-intensive industry may not provide enough work for local residents. The difference reflects uncertainty about how widely the benefits will be shared.

Air cooling uses moving air and cooling equipment to remove heat from computer systems, rather than relying primarily on water-based cooling. Google chose it because freshwater availability is already a major concern in the Visakhapatnam region. The decision matters because large computing facilities can create significant cooling needs.

Alexander Smith said Google assessed the local watershed before selecting the technology. The findings indicated pressure on local water resources. Google therefore decided to use advanced air cooling instead of water-based systems for the planned facility.

The pledge addresses one prominent concern, but it has not ended opposition. Google says it will replenish 120 per cent of freshwater used for non-cooling needs across its operations by 2030. Residents and campaigners still seek clearer information about wider water, ecological and infrastructure impacts.

The project could add pressure to a region that already faces water shortages. Residents also fear that the data centre and other proposed facilities could strain electricity supplies. These concerns matter because essential resources and local environments may have to support several large developments at once.

Google says the facility will use air cooling, after a watershed assessment found local water pressure. It also promises to fund necessary power-infrastructure upgrades and invest in additional clean-energy projects in Visakhapatnam. Those measures are intended to reduce some infrastructure risks, but they do not resolve every concern.

Residents and campaigners remain worried about local ecosystems, land acquisition and whether communities will receive enough employment and benefits. Environmental petitions allege that water-related risks were inadequately assessed. The eventual effects will depend on project implementation, other developments and how transparently impacts are monitored.

Environmental clearances are government approvals that allow a project to proceed after its likely environmental effects have been examined. They are intended to identify risks and set conditions for development. Such approvals matter because large facilities can affect water, ecology, land and nearby communities.

In this case, Google says it conducts independent assessments 12 to 24 months before projects begin. Its reviews examine power supply, grid stability, water risks, ecology and noise. Campaigners, however, allege that the Visakhapatnam project’s environmental and water-related risks were not assessed adequately.

According to The Guardian, three petitions challenging the environmental clearances have been filed before India’s National Green Tribunal. The tribunal proceedings add a formal legal challenge to the public protests. The dispute remains unresolved, so the project’s approvals and potential impacts will continue to face scrutiny.

Capital-intensive means a project depends heavily on expensive equipment, land, buildings and infrastructure rather than large numbers of workers. A data centre can therefore generate substantial spending while creating relatively few permanent jobs. This distinction matters in a region seeking employment on a much larger scale.

Google says a typical project employs about 4,200 construction workers annually during a three-to-five-year building period. After completion, it supports hundreds of specialist on-site roles. The project could still generate around $688 million in local economic activity each year through construction and related spending.

Campaigners question whether those gains will reach enough local residents. Gutta Rohith of the Human Rights Forum said the region needed mass employment and labour-intensive industries. The government’s projection of 188,000 direct and indirect jobs therefore remains contested, especially because many roles may be temporary, indirect or highly specialised.

Training AI involves processing large datasets through repeated calculations so a system can identify patterns and adjust its internal settings. Running AI also requires computing power to answer requests. The larger or more demanding the system, the more processing capacity it needs.

That processing uses electricity and produces heat, so facilities need cooling systems to keep equipment operating. Data centres also need dependable power supplies, stable grids and strong internet links to move data. Google’s planned Visakhapatnam hub is connected to this need for expanded AI and digital infrastructure.

The article identifies power supply, grid stability, water risks, ecology and noise as factors Google assesses before projects begin. It also points to Visakhapatnam’s connectivity and access to international submarine internet cables. These requirements explain the project’s scale, while also creating concerns about resources and local infrastructure.