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VOL. I · EST. 11.2025 
SatyaDheesh
सत्याधीश
India's Ground Truth Record
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Maharashtra data centres receive redundant power while residents face load shedding in 2026

GS3Economy · S&T · Environment · Security· Infrastructure (energy, ports, roads, railways)· Prelims + Mains·

Infrastructure prioritization and resource allocation: a GS3 case study on balancing industrial vs residential needs.

Why in news

Maharashtra faces a power supply paradox where residents experience load shedding while data centres receive redundant power, highlighting infrastructure prioritization issues.

Background

Maharashtra hosts 60% of India's data centre capability and aims for 5.7 GW capacity by 2031. In June 2026, the state faced a deficit of 28.127 million units of unsupplied power.

Facts for Prelims

  • FactMaharashtra hosts 60% of India's data centre capability
  • FactMaharashtra's target data centre capacity is 5.7 GW by 2031
  • Fact28.127 million units of power were unsupplied in June 2026
  • BodyMSEDCL (Maharashtra State Electricity Distribution Company Limited) and SLDC (State Load Despatch Centre) reported the power deficit
  • FactMaharashtra signed nearly $300 billion in MoUs for data centres

Prelims practice question

What is the target data centre capacity for Maharashtra by 2031?

  1. (a)3.2 GW
  2. (b)8.0 GW
  3. (c)10.5 GW
  4. (d)5.7 GW
Show answer

Answer: (d) 5.7 GW — The note states Maharashtra aims for 5.7 GW capacity by 2031.

For Mains

Q. Discuss the challenges of balancing industrial infrastructure demands with residential power requirements in rapidly developing states like Maharashtra.

Dimensions to cover in your answer

  • Infrastructure prioritization: Conflict between high-growth data economy and basic residential electricity access
  • Grid management: Balancing redundant power for data centres against peak demand load shedding
  • Investment vs. Supply: Disparity between $300 billion in MoUs and actual power generation capacity

Keywords: Infrastructure development · Power deficit · Data centre economy · Load shedding · Resource allocation

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