AI Data Centres in India: Energy Demand & Challenges

• Rapid expansion of AI-driven data centres is reshaping India’s electricity demand profile.
• AI infrastructure requires continuous, high-quality, zero-downtime power, unlike traditional industrial or household consumption.
• As India pushes data localisation and Digital Public Infrastructure (DPI), energy governance faces new structural stress.

Why AI Data Centres Are Energy-Intensive

• Always-on Operations: AI model training, deployment, and real-time updates require a 24×7 electricity supply.
• Rising Global Demand: The IEA estimates that data centre electricity consumption has grown by 12% annually since 2017.
  • It is expected to reach ~945 TWh globally by 2030.
• Load Quality: Data centres need stable voltage and frequency, not just aggregate capacity.

Key Drivers of the Data Centre Boom

• Data Localisation Mandate: The Digital Personal Data Protection (DPDP) Act, 2023, along with sectoral mandates from the RBI and SEBI, has made domestic storage of sensitive data mandatory.
  • Data sovereignty has emerged as a market-shaping force, compelling global cloud providers to invest locally.
• Digital Demand Explosion: Growth in AI workloads, cloud computing, fintech, e-governance, OTT platforms, gaming, and IoT has created sustained demand for high-capacity, low-latency infrastructure.

Structural Gaps in India’s Energy Governance

• Fragmented Governance: Power planning is split across generation, transmission, and distribution.
  • Electricity regulated by multiple institutions (Centre, States, CERC, SERCs).
• Sectoral Silos: Data centres governed by MeitY while Land, water, and environmental approvals handled separately.
  • Furthermore, poor coordination between digital planning and grid capacity assessment.
• Outdated Planning Logic: Focus on aggregate capacity addition rather than reliability and load quality.
  • Also, limited incentives for nuclear, hydro, or storage-backed renewables.

Infrastructure Stress Points

• Grid Stress: Continuous high-load demand strains local distribution networks.
  • India’s installed data capacity is projected to reach 2.5 GW by 2027.
• Coal Dependence: Despite 235.7 GW of non-fossil capacity, coal remains the primary baseload stabiliser. This increases emissions and complicates climate commitments.
• Water Intensity: A 100 MW data centre consumes ~2 million litres of water per day.
  • Major hubs (Mumbai, Chennai, Hyderabad) already face water stress. AI-related water demand globally may reach six times Denmark’s annual usage.

Policy and Regulatory Gaps

• No National Data Centre Policy:  Absence of a comprehensive national data centre, while the Draft Data Centre Policy (2020) has not been formally adopted.
  • State-level policies prioritise investment incentives over sustainability.
• Weak Environmental Regulation: No mandatory energy-efficiency or water-use norms and sustainability standards largely voluntary.
• Institutional Capacity Deficit: Regulators lack expertise to assess long-term digital loads.
  • Energy governance and data governance are treated as separate domains.

Way Forward

For Policymakers

• With the DPDP Act setting the foundation, policy must now enable execution by streamlining approvals through single-window clearance mechanisms.
• Grid modernisation should be prioritised to support continuous, high-quality power for digital infrastructure.
• Skill development must be treated as a national strategic investment; a reliable workforce is as critical to data centre resilience as physical infrastructure.

For Data Centre Operators

• The focus has shifted from land acquisition to strategic securing of power and water resources.
• New facilities must be AI-ready by design, incorporating liquid cooling, energy efficiency, and scalability from inception.
• Long-term renewable energy procurement and retention of highly skilled operations teams will be decisive competitive differentiators.

For Enterprises

• Cloud and data centre partners are now integral to business continuity, legal compliance, and ESG commitments.
• Corporate sustainability and compliance risks are increasingly interlinked with infrastructure partners’ practices.