Google has secured state environmental approval for its planned AI data center in Andhra Pradesh. The permit covers a power capacity of 2.51 gigawatts – more than double the originally announced 1 GW. The project is part of a $15 billion investment the company plans to deploy in India between 2026 and 2030.
Key Facts
- 2.51 GW approved capacity equals the output of two large nuclear reactors
- Permit granted in just 9 days – without public hearing
- Accounts for over 30 percent of Andhra Pradesh's annual electricity consumption
- 520 families in Tarluvada had land seized; 47 Dalit farmers received compensation, but according to reports, promised replacement plots and jobs remain outstanding
Infrastructure at Gigawatt Scale
Google plans to build India's first Full-Stack AI Hub in the Visakhapatnam region. The complex includes not only gigawatt-scale data center capacity but also expanded fiber-optic connectivity, new energy infrastructure, and an international subsea cable gateway with multiple undersea cables for route diversity and resilience.
The regulatory decision came at unusual speed. Public hearings were waived – a move critics view as regulatory expediency without sufficient transparency.
Civil Society and Court Challenges
The project faces significant opposition. The Human Rights Forum has filed three petitions with the National Green Tribunal and is pursuing a separate case before the Andhra Pradesh High Court.
Criticism focuses on several fronts:
| Issue | Details |
|---|---|
| Site Selection | One of three planned complexes sits just meters from reserved forest, drinking water reservoir, and wildlife sanctuary |
| Land Seizure | 520 families in Tarluvada had land taken that the state had granted them roughly 20 years earlier |
| Incomplete Compensation | 47 affected Dalit farmers received payments; according to reports, promised replacement plots and jobs remain partially unfulfilled |
Security forces erected fences on the site in April.
What This Means for German Companies
The story reflects a global pattern: while tech giants invest heavily in AI infrastructure, regulators simultaneously establish binding frameworks – in Europe, notably through the EU AI Act. German mid-market and industrial firms deploying or developing AI systems should track two trends: first, compute capacity availability is becoming a global competition, making investments in local or European infrastructure increasingly valuable. Second, approval of such megaprojects increasingly raises societal and ecological questions – a pattern likely to matter in Europe too as large AI data centers multiply.
Sources
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