·The Hindu·15 marks·250–350 words

India is emerging as a global hub for AI data centres. Critically evaluate the water and energy sustainability challenges this poses.

In this answer
  1. The scale of the emerging hub
  2. Energy sustainability challenges
  3. Water sustainability challenges
  4. The other side — trade-offs, not dead ends

A hyperscale data centre converts almost all the electricity it draws into heat that must be removed continuously — making power and cooling water its twin sustainability pressure points. India's AI-hub ambition therefore promises real gains, but on conditional terms.

The scale of the emerging hub

  • Google's 1-GW campus in Visakhapatnam — India's first gigawatt-scale AI hub — involves an estimated $15 billion investment (2026–30), is projected to generate about ₹10,000 crore for Andhra Pradesh and 5,000–6,000 direct jobs [1].
  • TCS's separate 1-GW "HyperVault" facility signals that this is a wave, not a one-off [2].

Energy sustainability challenges

  • Global data-centre electricity use was about 415 TWh (1.5% of world consumption) in 2024, and is set to roughly double to ~945 TWh by 2030, with AI-optimised demand rising fastest [3].
  • A single 1-GW near-continuous load strains state grids and, in India's coal-heavy mix, adds emissions unless matched by round-the-clock renewable supply.

Water sustainability challenges

  • Conventional evaporative cooling is water-intensive and can draw on potable supply, competing with drinking and irrigation needs.
  • India already has nearly 600 million people under high-to-extreme water stress, with demand projected at twice supply by 2030 (NITI Aayog CWMI, 2018) [4]. Local protests in Visakhapatnam over anticipated water use reflect this [2].

The other side — trade-offs, not dead ends

  • Google's shift to air-cooling at Vizag sharply cuts water withdrawal, but imposes an efficiency and performance "tax" — more energy per unit of compute [2]. Water is saved by spending power.
  • Direct-to-chip/immersion liquid cooling raises capital cost yet removes heat far more efficiently; renewable-linked power purchase, recycled non-potable water and waste-heat reuse can compress both footprints.

Water and energy stress here flow from design and siting choices, not from digitalisation itself. Mandatory water- and energy-disclosure norms, green-power procurement and siting in water-surplus zones can make India's data-centre boom consistent with SDG-6 and SDG-7 — turning a resource dilemma into a template for sustainable digital infrastructure.

Sources

  1. 1Google's 1-GW Hyperscale Data Centre in Visakhapatnam to Generate ₹10,000 Crore for Andhra Pradesh — PIB (Union MoS Dr Pemmasani)investment, revenue and employment figures for the Vizag project
  2. 2Can air-cooling handle the heat from a 1-GW data centre? — The HinduVizag protests, shift to air-cooling and its efficiency trade-off; TCS HyperVault
  3. 3Energy and AI, Executive Summary — International Energy Agencyglobal data-centre electricity consumption in 2024 and 2030 projection
  4. 4Composite Water Management Index — NITI Aayog (2018)600 million people under high-to-extreme water stress; demand twice supply by 2030

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