The artificial intelligence boom is no longer just a technology story. In 2026, it has become an energy story, an infrastructure story, and increasingly, a commercial real estate story.
Across the United States, electricity demand from AI-driven data centers is rising at a pace utilities, grid operators, and developers did not anticipate only a few years ago. The result is a growing power crisis that is reshaping where billions of dollars in commercial real estate investment flow, how industrial land is valued, and which regions emerge as the next infrastructure hubs.
What began as a race to build more AI capacity has evolved into a nationwide competition for electricity access.
America’s Electricity Demand Is Rising Again After Years of Stability
For nearly two decades, U.S. electricity demand remained relatively flat due to efficiency improvements and slower industrial growth. That trend has now reversed sharply.
According to the U.S. Energy Information Administration’s (EIA) Short-Term Energy Outlook published on May 12, 2026, total U.S. electricity consumption is projected to rise from a record 4,195 billion kilowatt-hours in 2025 to 4,248 billion kWh in 2026 and 4,379 billion kWh in 2027. The agency specifically identified large computing facilities, including AI and crypto data centers, as major drivers of the increase.
EIA Administrator Tristan Abbey reinforced this trend in a January 2026 statement, noting that electricity demand growth through 2027 is being driven “largely by increasing demand from large computing facilities, including data centers.”
The scale of this demand surge is extraordinary because the United States power grid was not designed for hyperscale AI infrastructure operating continuously at massive energy intensity.
AI Is Creating an Unprecedented Power Consumption Boom
Artificial intelligence workloads consume far more electricity than traditional cloud computing.
Training large language models, operating inference systems, and supporting AI-driven enterprise applications require enormous computational power. Advanced GPU clusters operate around the clock and generate substantial cooling requirements, dramatically increasing total energy usage.
The International Energy Agency (IEA), in its updated Energy and AI Report, estimated that global data center electricity consumption reached approximately 415 terawatt-hours in 2024, representing about 1.5% of total global electricity demand.
The agency projects that demand could reach nearly 945 TWh by 2030 in its base-case scenario and potentially exceed 1,200 TWh by 2035.
The United States represents the largest share of this expansion. The IEA estimates U.S. data center demand could increase by roughly 240 TWh from 2024 levels, adding that “data centres account for nearly half of electricity demand growth between now and 2030” in the U.S.
That projection is already influencing financial markets, utility planning, and commercial property valuations.
Data Centers Could Consume Up to 12% of U.S. Electricity
One of the most cited research studies in 2026 continues to be the Lawrence Berkeley National Laboratory (LBNL) analysis prepared for the U.S. Department of Energy.
The report estimated U.S. data centers consumed approximately 176 TWh in 2023, or about 4.4% of national electricity usage. However, researchers projected that consumption could climb to between 325 TWh and 580 TWh by 2028, potentially accounting for 6.7% to 12% of all U.S. electricity demand.
Brookings Institution analysis referencing the study warned that AI expansion may fundamentally alter long-term energy planning assumptions nationwide.
Anthropic, cited in Brookings research published April 10, 2026, estimated that training a single frontier AI model by 2027 could require as much as 5 gigawatts of power capacity. The company also suggested the U.S. AI sector may need 50 GW of new electricity generation by 2028 — roughly double New York City’s peak electricity demand.
Former Google CEO Eric Schmidt echoed similar concerns during congressional testimony referenced by Brookings, stating data centers may require an additional 29 GW of electricity by 2027 and 67 GW by 2030.
Commercial Real Estate Is Being Redefined by Power Availability
For decades, commercial real estate developers prioritized factors such as transportation access, labor availability, tax incentives, and fiber connectivity. In 2026, power availability has become the dominant variable.
CBRE’s 2026 U.S. Real Estate Market Outlook and North American Data Center Investor Intentions Survey identified power access as the top challenge facing the data center industry for the third consecutive year.
The report noted several major shifts:
- Power now outweighs fiber connectivity in site selection decisions.
- Hyperscalers increasingly seek sites capable of supporting 250+ megawatts.
- Grid connection timelines in many markets have stretched to 24–48 months or longer.
- Vacancy rates in primary data center markets remain historically low.
This shift is transforming industrial land economics nationwide.
Properties located near substations, transmission corridors, natural gas infrastructure, or utility-ready industrial zones are commanding significant premiums. In some cases, land with strong electrical interconnection potential is becoming more valuable than traditional logistics-oriented industrial real estate.
Developers are also targeting secondary and tertiary markets where utility constraints are less severe and permitting timelines are shorter.
Grid Operators Are Warning About Potential Supply Shortages
The rapid rise in AI-driven electricity demand is creating serious concerns for regional grid operators.
PJM Interconnection, the largest U.S. power grid serving parts of the Mid-Atlantic and Midwest, warned in early 2026 that supply shortfalls could reach as much as 60 GW by 2027 if generation additions fail to keep pace with demand growth.
Bloomberg reported on May 14, 2026, that AI infrastructure expansion contributed to a projected 76% increase in power bills within PJM territory, intensifying political and regulatory pressure on utilities and policymakers.
The Electric Power Research Institute (EPRI), cited during Reuters coverage of CERAWeek 2026, estimated that electricity consumption from data centers could more than quadruple by the end of the decade and potentially consume as much as 17% of U.S. power supplies.
This is creating a growing conflict between economic development ambitions and grid reliability concerns.
Texas and Virginia Are Emerging as Ground Zero
Northern Virginia remains the world’s largest data center market, but mounting grid constraints and local opposition are forcing developers to explore alternatives.
At the same time, Texas is rapidly emerging as one of the most important AI infrastructure markets in the country.
ERCOT, Texas’ primary grid operator, reportedly received approximately 226 GW of large-load interconnection requests, most tied to data center development. According to analysis from Harvard’s Belfer Center, that figure is roughly three times the current installed U.S. data center capacity.
Texas offers several advantages:
- Large-scale land availability
- Competitive power markets
- Faster permitting timelines
- Significant renewable energy generation
- Access to natural gas infrastructure
Industry analysts increasingly believe Texas could rival or surpass Northern Virginia in long-term AI infrastructure growth by the early 2030s.
However, even Texas faces mounting strain as developers compete for transmission access and reliable generation capacity.
➡️ Read the related Post: How Canada’s Renewable Energy Advantage Is Attracting AI Data Center Investment
Behind-the-Meter Power Is Becoming a Major Investment Theme
Because utility connection timelines continue to lengthen, many developers are pursuing alternative power strategies.
JLL’s 2026 Global Data Center Outlook found that average grid connection wait times now exceed four years in several primary markets. As a result, developers are increasingly adopting “behind-the-meter” generation solutions.
These strategies include:
- Dedicated natural gas turbines
- On-site solar and battery storage
- Small modular reactor (SMR) exploration
- Long-term renewable power purchase agreements (PPAs)
- Hybrid energy systems
This trend is creating major investment opportunities beyond traditional real estate.
Infrastructure funds, private equity firms, utilities, and energy developers are now competing aggressively for assets linked to power generation, transmission, substations, and grid modernization.
Utilities Are Launching Massive Capital Spending Programs
The AI infrastructure boom is also driving one of the largest utility investment cycles in decades.
Reuters reported on May 5, 2026, that American Electric Power (AEP) increased its five-year capital investment plan to $78 billion. The company stated that nearly 90% of its expected incremental contracted load growth through 2030 is tied to data centers, including hyperscale AI facilities.
Similarly, GE Vernova raised its 2026 outlook amid rising demand for gas turbines and grid equipment linked to AI infrastructure expansion.
Utilities nationwide are accelerating investments in:
- Transmission lines
- Substation upgrades
- Gas-fired generation
- Renewable integration
- Grid resilience systems
This capital spending wave is likely to reshape infrastructure investment markets throughout the remainder of the decade.
Political Resistance and Local Opposition Are Growing
The AI power surge is also generating political backlash.
The New York Times reported in April 2026 that rising electricity prices, water consumption concerns, and environmental impacts are fueling local opposition to new data center projects across parts of the Mid-Atlantic and Midwest.
Some lawmakers have even discussed proposals for temporary pauses on large-scale AI data center expansion until grid reliability concerns are addressed.
Communities are increasingly questioning whether local residents should bear higher utility costs to support private AI infrastructure growth.
This tension is creating a new regulatory risk layer for commercial real estate developers and institutional investors.
Why Secondary Markets Could Become the Biggest Winners
As primary markets face power shortages and rising land costs, secondary regions may experience substantial investment inflows.
Markets with excess generation capacity, industrial infrastructure, and available land are becoming increasingly attractive.
Potential beneficiaries include:
- Ohio
- Indiana
- Oklahoma
- Iowa
- Wyoming
- Parts of the Southeast
These regions often offer lower development costs, more favorable utility relationships, and faster project approvals.
For commercial real estate investors, the next major AI infrastructure opportunities may increasingly emerge outside traditional coastal gateway markets.
➡️ Read the related Post: Why AI Infrastructure Is Reshaping Industrial Real Estate in Secondary US Cities
The AI Boom Is Becoming an Infrastructure Arms Race
The AI economy now depends on something far more fundamental than algorithms or chips: electricity.
Power availability is rapidly becoming the defining constraint on AI expansion, data center growth, and commercial real estate development across the United States.
What makes the current moment historically significant is that AI infrastructure demand is accelerating faster than the nation’s ability to expand generation and transmission capacity.
That imbalance is transforming:
- Industrial real estate valuations
- Infrastructure investment strategies
- Utility capital planning
- Regional economic competitiveness
- Energy policy debates
The winners of the next decade may not simply be the companies building the most advanced AI models. Increasingly, they may be the regions, utilities, and investors capable of delivering reliable electricity at scale.
References and Research Sources
- U.S. Energy Information Administration (EIA), Short-Term Energy Outlook, May 12, 2026
- EIA Administrator Tristan Abbey, January 13, 2026 press statement
- International Energy Agency (IEA), Energy and AI Report (2025–2026 updates)
- Lawrence Berkeley National Laboratory (LBNL), U.S. Department of Energy data center electricity analysis
- Brookings Institution, AI electricity demand analysis, April 2026
- Goldman Sachs Research, global data center power demand outlook
- CBRE, 2026 U.S. Real Estate Market Outlook and North American Data Center Investor Intentions Survey
- JLL, 2026 Global Data Center Outlook
- Reuters coverage: May 5, 2026; May 12, 2026; March 26, 2026
- Bloomberg, May 14, 2026, PJM electricity cost analysis
- The New York Times, April 27, 2026, AI data center infrastructure analysis
- Belfer Center for Science and International Affairs, ERCOT and data center demand analysis
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