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The biggest utilities stories of the last 3 years.
US faces 55 GW power deficit as AI data centers surge
The United States faces a potential power deficit of 30 to 55 gigawatts by 2030, driven primarily by AI data center expansion, which McKinsey & Company projects will account for 75 percent of US power demand growth over the next decade. Data centers require nearly 30 GW of new capacity annually, with 20 GW for IT chips and 10 GW for cooling. A Bain & Company report warns US data center electricity demand could double to 409 terawatt-hours by 2030, consuming 9 percent of total electricity. Despite risks of an AI bubble, analysts argue the infrastructure investment is safe, as modernized power assets can support electrification of manufacturing and electric vehicles. This buildout is also driving tech capital toward regions with stable renewable power, like Kenya's geothermal fields.
streamlinefeed.co.ke
Aug 11, 2026
AI infrastructure boom faces global energy supply bottleneck
Global AI infrastructure investment is surging, with hyperscalers committing roughly $700 billion in 2026, up from $400 billion in 2025, and Goldman Sachs projecting $7.6 trillion in cumulative spending through 2031. However, this boom is constrained by energy supply: the International Energy Agency reports grid investment will reach $550 billion in 2026, yet Deloitte estimates US AI data center power demand could grow thirtyfold to 123 gigawatts. Next-generation data centers now cost $15–$20 million per megawatt to build, double the cost of traditional facilities. Hyperscalers are signing direct power deals and building private generation to bypass grid bottlenecks, but this fragments infrastructure investment. The energy bottleneck—driven by grid upgrades, permitting delays, and labor shortages—is the central factor limiting the pace and cost of AI deployment.
eciks.org
Aug 06, 2026
AI data centre power demand strains grids, triggers global regulation
Global AI data centre power demand is straining electricity grids, with consumption reaching 415 TWh in 2024 and projected to exceed 945 TWh by 2030. The surge, driven by GPU-optimized facilities requiring up to 200 kW per rack, creates continuous baseload stress on local transmission nodes. In response, New York imposed a moratorium on hyperscale permits, the EU mandates annual energy and water reporting for data centres over 500 kW, Ireland requires on-site backup and demand reduction obligations, and Australia plans to require large operators to act as net-generators, underwriting new power supply.
discoveryalert.com.au
Jul 31, 2026
AI boom drives power demand, reshaping utility sector opportunities
The U.S. electrical grid must add capacity equivalent to over 20 New York Cities by the early 2030s to meet surging demand, primarily from AI data centers now up to 50 times larger than previous generations. A 10-percentage point increase in agentic AI adoption could boost power needs by another 25% by 2035, with leading AI companies' requirements expected to double by 2027 per IEA estimates. This has transformed utilities from a low-growth sector into a high-growth investment theme, with $600 billion in transmission and distribution spending projected through 2030. However, the grid faces severe hurdles: regulatory delays, equipment shortages, political opposition, and a lack of skilled labor. A key example is PJM Interconnection, where capacity auction prices surged over 1,000% in two years to a record $329.17 per megawatt-day in July 2025, driven by data center demand that could reach one-fifth of regional load. This has sparked price volatility, affordability concerns, and calls for price caps from governors. Investors see opportunities in power generators, engineering firms, and equipment manufacturers, but outcomes depend on local regulations and market constraints. The demand shock may be prolonged through the decade due to underinvestment since 1999, though efficiency gains in AI could temper growth. Data center operators are increasingly building their own dedicated power plants to ease grid strain and reduce consumer cost impacts, but still face multi-year waits for permits and approvals. The power sector has experienced about $3 trillion in underinvestment since 1999, and the cycle may be long-lived as the grid grows linearly while AI computing scales exponentially. Regulators are stepping in with transitional planning and emergency procurement mechanisms, but a clear path forward remains uncertain. Price volatility, demand-supply imbalance, and popular dissent are all visible at PJM, where governors push for price caps and the operator has sped up its interconnection queue. Investors also see opportunities in fast-start generation, storage for intermittent renewables, and grid build-out services, but selectivity is key as outcomes vary widely by local constraints.
privatebank.jpmorgan.com
Jul 29, 2026
Brookfield, NextEra plan $100B AI data center campus in Kentucky
NextEra Energy and Brookfield Corporation, alongside three smaller power companies, are building a $100 billion AI data center campus at a former Cold War-era uranium enrichment site in Paducah, Kentucky—the largest economic investment in the state's history. The project targets over 1.2 gigawatts of computing capacity by 2032, with NextEra supplying up to 2 gigawatts of natural gas-fired power and 2.6 gigawatts of battery storage in stages to protect local ratepayers. Brookfield, leasing land from the U.S. Department of Energy, will manage the campus and leverage existing transmission, water, and fiber infrastructure. The initiative aligns with the Trump administration’s ratepayer protection pledge and underscores surging AI-driven electricity demand. For NextEra, it supports a base case of 15 gigawatts of data center hubs by 2035, while Brookfield uses it as a seed for its $100 billion AI infrastructure fund backed by Nvidia and the Kuwait Investment Authority. Both companies aim for significant earnings growth, though the project remains subject to final agreements.
fool.com
Jul 29, 2026
PJM scrambles as AI data centers drive capacity shortfall
PJM Interconnection, the largest US power grid serving 67 million people across 13 states and DC, faces its first-ever capacity shortfall as AI data centers drive unprecedented electricity demand. The grid's capacity auction failed to secure sufficient supply for June 2027–May 2028, with data centers projected to add over 30 gigawatts of peak demand by 2030—equivalent to 30 nuclear plants. Capacity prices surged tenfold from $28.92 to $329.17 per megawatt-day. In response, the Department of Energy issued a May 2026 emergency order allowing PJM to curtail power to data centers with backup generation during emergencies. PJM also approved a $6.7 billion transmission investment plan targeting Northern Virginia congestion and plans a reliability backstop auction for Autumn 2026. The capacity price increases could cost consumers over $100 billion through 2033.
cryptobriefing.com
Jul 28, 2026
Data Center Power Demand Set to Triple, Pushing Sustainability Shift
Global data center power demand is set to triple over the next decade, with CO2 emissions projected to double, driven by the AI boom. Grid interconnection delays are pushing short-term reliance on off-grid gas turbines, as seen with xAI's Colossus 2, but long-term solutions include solar-plus-storage microgrids, enhanced geothermal systems (e.g., Sage Geosystems' partnership with Meta), hydrogen fuel cells (Ballard and Plug Power with Microsoft and Vertiv), and even orbital data centers (SpaceX, Blue Origin, Starcloud). At grid scale, wind, solar, and nuclear power will deliver the most low-carbon electricity, with small modular nuclear reactors (SMRs) potentially supplying up to 15% of data center power by 2037. Energy efficiency improvements, such as liquid cooling and 800VDC architecture, are being adopted to manage rising rack densities, with component-level gains from NVIDIA, AMD, and Infineon. Scope 3 supply chain emissions remain the largest source of data center CO2, forecast to exceed 0.8 gigatonnes annually by 2036, prompting strategies like carbon credits, low-carbon construction materials (green concrete, steel, timber), and lower-embodied-carbon IT hardware.
idtechex.com
Jul 27, 2026
AI Power Demand Drives Asia's Nuclear Revival
Asia is leading a global nuclear power revival driven by the insatiable energy demands of AI infrastructure and data centers, where electricity availability has become the toughest constraint for buildout. Global nuclear capacity is projected to increase by 44% over the next decade, with China spearheading reactor construction and rapidly expanding its nuclear portfolio. Japan and South Korea are also expanding nuclear programs and exploring fusion potential, positioning nuclear power as a critical solution for immense energy needs.
startuphub.ai
Jul 26, 2026
AI Boom Widens Data Center Power Gap with Renewable Energy
The AI boom is widening a gap between data center power demand and clean energy supply, with global data centers consuming 67.7 GW of electricity (1.9% of worldwide generation) in 2026, up from 1.7% a year earlier. The US accounts for 43% of this sector's energy use, drawing 6% of its national supply. AI data center electricity consumption grew 50% in 2025 alone, driven by computationally intensive large language models. The International Energy Agency projects annual global data center power consumption will exceed 945 TWh by 2030, more than double current levels. Renewables supply only 29.6% of global electricity, leaving over 60% of data center power reliant on fossil fuels. The IDCA report highlights bridging technologies like small modular reactors and hydrogen fuel cells, and notes deals such as Google's 500 MW agreement with Kairos Power and Microsoft's contract to revive Three Mile Island. Regulatory shifts, including FERC orders for co-location tariffs, and a move toward 'sovereign power' models where operators generate their own supply, are emerging. Ireland now requires new facilities to bring their own generation and meet 80% of demand via renewables within six years. The report also flags inefficiencies, with 13% of US data center power wasted on zombie applications.
sustainabilitymag.com
Jul 23, 2026
OpenAI Plans $750B AI Compute Spend by 2030
OpenAI has raised its planned compute spending to $750 billion through 2030, a 25% increase from the $600 billion outlined earlier this year, according to The Wall Street Journal. The first major project is a $20 billion data center campus in Georgia called Project Camellia, spanning 1,400 acres northwest of Savannah and drawing at least 3.2 gigawatts of power from Georgia Power, with capacity expected between 2028 and 2032. OpenAI will pay full infrastructure and electric-service costs, and Georgia Power said OpenAI can reduce its draw by up to 1 gigawatt during peak demand. Effingham County granted a 50% property tax abatement for 15 years. Regulatory filings indicate most new capacity will come from natural gas, with Georgia Power adding about 5.8 gigawatts of gas generation, more than doubling its fleet, plus grid-scale batteries and solar. The Stargate data center project appears stalled. OpenAI recently hired Brett Mayo, formerly of xAI, to lead construction; xAI's Colossus data center in Memphis faces a lawsuit over unpermitted natural gas turbines and air quality issues. Despite generating roughly $24 billion in annualized revenue as of late February, OpenAI reported losses of $38.5 billion in 2025, as infrastructure and research costs outpaced income. The company relies on debt and partnerships to fund expansion, aiming to maintain AI leadership.
techcrunch.com
Jul 22, 2026
OpenAI plans $30B Georgia data center mega-project near Savannah
OpenAI is moving forward with Project Camellia, a massive AI data center in Effingham County, Georgia, near Savannah, with total costs expected to exceed $30 billion. The facility, part of Sam Altman's broader Stargate initiative, will secure up to 3.2 gigawatts of power from Georgia Power—enough for roughly 2.4 million homes—delivered in phases between 2028 and 2032, with initial capacity of several hundred megawatts coming online in 2028. Under a 25-year agreement, OpenAI will pay the full cost of electricity and supporting infrastructure, ensuring no subsidy from residential customers under 2025 Georgia Public Service Commission rules. The company also committed to up to 1,000 megawatts of flexible demand response, allowing temporary power reductions to maintain grid reliability—among the largest single-facility commitments in the U.S.—which could reduce the need for additional generation and create long-term customer savings. OpenAI will spend at least $20 billion in the county to qualify for an incentive package to be voted on this week. The project is expected to create thousands of construction and permanent jobs, generate hundreds of millions in tax revenue, and make OpenAI Effingham County's largest taxpayer. OpenAI committed $80 million in community benefits for schools, public safety, health care, workforce training, housing, utilities, veterans' services, small businesses, and working families, plus up to $71 million in Codex AI coding tool credits for eligible Georgia college students. The data center will use a closed-loop water system, with water needs similar to a comparable office building. An independent firm will conduct and publicly release an annual audit of commitments. The site, within the Savannah Gateway Industrial Hub, is expected to generate less traffic and use less water than a previously planned warehouse development. OpenAI is leading the facility's design directly, moving away from exclusive reliance on cloud partners like Microsoft, and plans to open-source the blueprints. The company recently pulled back from sites in the UK, Norway, and Texas to concentrate capital ahead of an expected IPO and is seeking partners to help finance and develop the data center, potentially operating some of it itself. Sachin Katti, OpenAI's vice president of compute strategy, confirmed the cost estimate. The investment comes as competitors like Anthropic and Meta also secure large computing capacity, though growing opposition over utility prices and environmental effects could delay some projects. A public open house is scheduled for Thursday to gather community feedback.
cbsnews.com
Jul 22, 2026
AI boom to drive data centers to use 20% of US electricity by 2035
AI data centers are now forecast to consume nearly 20% of US electricity by 2035, up from about 5.9% today, according to BloombergNEF's latest projections. The power demand of these facilities could reach 194 gigawatts (GW), an 83% increase from BNEF's forecast released just seven months earlier, though earlier base-case scenarios had projected 106 GW. The Electric Power Research Institute (EPRI) has modeled high-growth scenarios where data center electricity consumption could reach 10% to 20% of US demand by 2035, with cryptocurrency mining combined with AI-driven compute as a key variable pushing toward the upper end. Nearly one-quarter of new data center projects in the pipeline exceed 500 MW in capacity. The demand is straining power grids, particularly the PJM Interconnection (spanning Virginia to Illinois), where 34% of electricity will go to data centers, and ERCOT in Texas, which will devote 22% of generating capacity. PJM has struggled with connection requests, pausing applications for four years and seeing electricity prices rise 76% over the past year; one utility, American Electric Power, has threatened to pull out. Though PJM reopened the queue to new generating sources in April 2025, data centers still represented 38% of charges in its most recent capacity auction. Annually, the record for data center capacity connecting to the grid is 7.1 GW, but analysts project a 19 GW shortfall by 2035. Globally, aggressive AI adoption could create 1,935 terawatt-hours of new electricity demand by 2033, nearly matching India's annual usage, with the US hosting 64% of AI chips by power demand by 2033. Bitcoin miners are pivoting to AI infrastructure, with companies like Core Scientific and Riot Platforms partnering with AWS and Google to retrofit mining facilities for AI workloads. Miners have secured approximately 6 GW of power capacity, with pipelines extending to 12 GW by 2027; some analysts estimate 20% of Bitcoin miners' capacity may pivot toward AI workloads by end of 2027. Texas's grid operator, ERCOT, has seen data centers account for roughly 90% of large-load demand applications, with many crypto mining sites being repurposed for AI. Core Scientific's stock trajectory reflects this shift, as the company emerged from bankruptcy and partnered with CoreWeave to convert mining capacity into AI hosting. Technology companies are increasingly investing in renewable energy, battery storage, and nuclear power partnerships to meet demand while reducing emissions, though efficiency gains may not fully offset explosive computing growth. The impact is already being felt by consumers: utilities have requested rate increases tied to rising infrastructure costs, and some households have seen electric bills double or even triple as utilities recover investments in new generation and transmission assets. This creates a second inflation problem beyond oil price shocks—electricity inflation raises the cost of living directly. Communities across the country are beginning to push back against proposed data center developments, citing higher utility costs, water consumption, and grid reliability. Major tech firms including Microsoft, Amazon, Google, Oracle, and Meta have announced investments or partnerships involving advanced nuclear power, small modular reactors, geothermal energy, hydrogen fuel cells, or large-scale battery storage, aiming to secure reliable electricity without overwhelming local utilities. However, these projects require years to develop, while AI demand continues growing today, meaning political backlash could intensify before additional generating capacity comes online. The US Energy Information Administration reports that electricity consumption reached a record 4.20 trillion kilowatt-hours in 2025, with forecasts of 4,269 billion kWh in 2026 and 4,399 billion kWh in 2027, driven by AI data centers, electrification, manufacturing, and population growth. The International Energy Agency says the US leads the world in data center electricity use per person, at around 540 kilowatt-hours per capita in 2024, potentially exceeding 1,200 kWh by the end of the decade. The US Department of Energy notes that more than 80 GW of new data center capacity could come online in the next decade, with facilities being built in states such as Virginia, Texas, Arizona, Georgia, and Ohio. The IEA estimates that global investment in electricity grids must roughly double by 2030, to $600–750 billion, to support growing electrification and clean energy deployment. The challenge is that AI is arriving just as the country is trying to modernize its electricity system, and the DOE says no single technology can meet future demand alone, requiring a balanced mix of nuclear, renewable energy, battery storage, geothermal, hydropower, and natural gas.
247wallst.com
Jul 21, 2026