Arinox AI Flags Sustainability Risks in Hyperscale AI Expansion
The artificial intelligence industry is entering an unusual phase. While AI models are becoming smaller, faster, and more efficient, the infrastructure supporting them is moving in the opposite direction. v are becoming larger, more centralised, and increasingly resource-intensive.
That shift is raising difficult questions around sustainability, sovereignty, resilience, and operational control, particularly in countries like India where power, water, and land availability are becoming critical infrastructure concerns. India is expected to see more than USD 100 billion in data center investments by 2027. At the same time, an S&P Global study estimates that 60–80% of India’s data centers could face high water stress this decade.
The debate is no longer limited to AI capability alone. Enterprises are also beginning to question where their AI systems run, who controls them, and how dependent organizations should become on centralized cloud infrastructure.
Bengaluru-based Arinox AI believes the next phase of AI infrastructure may...
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