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IDCA said in a recent report that access to reliable power is increasingly becoming a strategic factor determining where future AI infrastructure can be deployed
In sum – what to know:
AI demand – IDCA says AI workloads are rapidly increasing electricity consumption, making power availability and efficiency central to future data center expansion.
Regional disparities – Electricity demand from data centers varies widely by country, with Ireland leading among major markets as facilities account for 21% of national electricity consumption.
Infrastructure planning – The report argues that long-term growth will increasingly depend on coordinated investment in power generation, transmission and more efficient digital infrastructure.
Artificial intelligence is rapidly transforming electricity demand across the global data center industry, according to the Global Energy Report 2026 published by the International Data Center Authority (IDCA), which warns that securing adequate power is becoming one of the sector’s defining challenges.
In the report, IDCA examines how AI workloads are changing power requirements, increasing infrastructure utilization, and reshaping planning priorities for operators and policymakers alike.
The report notes that data centers have become one of the fastest-growing sources of electricity demand worldwide as cloud computing, hyperscale expansion and AI training clusters continue to scale. Unlike previous waves of digital infrastructure growth, AI applications require significantly higher compute density, resulting in greater energy consumption per facility and intensifying pressure on local electricity systems, according to IDCA.
Rather than viewing electricity solely as an operational expense, the report argues that access to reliable power is increasingly becoming a strategic factor determining where future AI infrastructure can be deployed. Consequently, power generation, transmission capacity, and energy efficiency are expected to play a much larger role in data center investment decisions over the coming years.
IDCA also emphasizes that improving efficiency will remain essential. Advances in cooling technologies, higher server utilization, power management, and renewable energy integration can reduce energy intensity, but overall electricity demand is still expected to rise as AI deployments accelerate.
One of the report’s most striking graphics compares data center electricity consumption as a share of national electricity demand across several countries. According to IDCA, Ireland records the highest proportion, with data centers accounting for 21% of total national electricity consumption, illustrating how concentrated hyperscale development has become within the country.
The report shows Singapore at 15.6%, followed by the Netherlands at 12%. Data centers in the United States consume 43% of the world total data center consumption, or 26.7GW. The collective footprint in the U.S. has grown quickly over the past few years to reach 6% of the entire US electricity grids. This rapid growth has resulted in notable constraints in the Data Center Alley region of Northern Virginia, in California, and in a few other large hub areas, including Chicago and Dallas, according to the report.
IDCA notes that although percentages remain relatively modest in many markets, rapid AI deployment could substantially increase these figures over the coming years, particularly in countries experiencing large-scale hyperscale and AI data center construction.
The report concludes that balancing AI-driven infrastructure growth with reliable electricity supply, environmental objectives, and grid resilience will require closer coordination between data center operators, utilities, and governments. As AI workloads continue to expand, energy planning is becoming as critical to digital infrastructure strategy as land acquisition, connectivity, and computing capacity itself.
