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Led by "Shark Tank" investor Kevin O'Leary, a massive data center project is near final approval in Utah — including tax deals aimed at helping it “lure the hyperscalers” like Amazon, Microsoft and Google to the state.
Fermi America is emerging as a high-profile test of ambitious AI data center projects.
WIRED reports the U.S. Energy Information Administration plans a mandatory nationwide survey of data center electricity use, including behind-the-meter generation, to improve transparency on grid and ratepayer impacts.
Residents of a St. Louis suburb turned out in droves to unseat four incumbents just days after the council approved a development agreement for a $6 billion data center.
The Wall Street Journal reports that rapid AI buildout is pushing against electricity and computing capacity limits, highlighting energy as a bottleneck for near-term AI infrastructure expansion.
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SoftBank is seeking to build the AI computing complex at a former uranium enrichment complex owned by the U.S. Energy Department.
A proposed small data center in Inver Grove Heights is drawing resident concern over community impact, reflecting broader Twin Cities anxiety about AI-driven data center growth and its local infrastructure footprint.
The AI industry is desperate for every electron, and regulators don't want data center boom to strain grids.
Lack of sufficient cover means some investors are walking away from deals
A startup backed by Nvidia plans to invest billions of dollars in a South Korea data center buildout, underscoring escalating AI infrastructure spending and regional competition with China.
Escalating conflict risk in Iran is pushing up costs for fertilizers and helium, a critical gas for semiconductor manufacturing and advanced chip production. The commodity shock could tighten upstream supply chains and create a bottleneck for AI infrastructure deployment by raising hardware input costs and extending lead times.
The U.S. Department of Energy announced a $1.9 billion investment focused on reconductoring and advanced transmission technologies to modernize grid infrastructure, improve reliability, and lower electricity costs.
The NAACP has accused Mississippi regulators of rushing a meeting to approve xAI plans for a massive, methane-burning power plant in Southaven.
Bloomberg reports that Nvidia-backed AI startup Firmus secured a new contract ahead of its planned IPO, signaling continued enterprise demand for AI infrastructure capacity.
Nvidia said it has provided $3.5 billion in guarantees to companies leasing land, power and data center facilities, four times the amount it disclosed the previous quarter. The guarantees could help companies without credit ratings, such as AI cloud startups, secure coveted power resources and debt financing to build data centers. Nvidia said it provided the guarantees to “early-stage
Investors attracted by high yields as companies look to shift debt off their balance sheets
The Trump administration signaled that large AI data center projects should secure dedicated power arrangements rather than relying on already constrained public grids, raising planning, permitting, and capital requirements for hyperscaler expansions. The policy stance could accelerate private generation, long-term power purchase agreements, and colocated energy infrastructure for new AI campuses.
Texas is about to unseat Virginia as the world's largest data market, according to a new report from JLL.
Amazon plans a $12 billion AI data center buildout in Louisiana, part of up to $200 billion in 2026 AI infrastructure spending across data centers, chips and networking equipment.
Axios reports Emerald AI, led by former U.S. climate official Varun Sivaram and backed by NVIDIA, is focused on software that improves when and how AI data centers consume electricity to lower grid strain and operating costs. The initiative highlights growing demand for energy-intelligent orchestration as hyperscalers scale GPU infrastructure.
Google has secured geothermal power from Ormat for its Nevada data center operations, signaling continued investment in firm, low-carbon electricity procurement to support energy-intensive AI infrastructure growth in the region.
Bloomberg reports Meta plans to invest over $10 billion in a new Indiana data center, highlighting ongoing hyperscale AI infrastructure expansion in the U.S. and increased demand for regional power and construction capacity.
The Trump administration is reportedly considering agreements related to data center expansion as power prices rise, highlighting policy focus on balancing AI infrastructure growth with electricity cost pressures.
Tem has built an AI-powered transaction engine to reduce electricity market costs, and the startup raised $75 million in a Lightspeed-led round to expand into the U.S. and Australia.
Alphabet launched a seven-tranche U.S. corporate bond offering, tapping debt markets amid ongoing AI infrastructure and data-center spending. The deal underscores hyperscaler financing for compute, networking, and power-intensive capacity expansion.
A Wall Street Journal report highlights how non-technology companies are making significant investments to capture AI-driven demand, signaling that the AI infrastructure boom is extending beyond traditional tech firms.
PJM announced a plan aimed at managing expected AI-driven electricity demand growth, outlining steps to maintain grid reliability as power needs rise.
Microsoft says it will contribute to grid upgrades and energy costs as it expands data centres, aiming to ease political and community backlash over AI-driven power demand. The company faces scrutiny as soaring electricity use from AI becomes a hot-button issue for Big Tech and the Trump administration.
Meta CEO Mark Zuckerberg announced a new top-level Meta Compute initiative to build tens of gigawatts of AI infrastructure this decade, potentially hundreds over time, positioning infrastructure scale as a long-term strategic advantage. The effort will be led by infrastructure chief Santosh Janardhan and AI executive Daniel Gross, with Dina Powell McCormick focused on government and sovereign partnerships and financing as Meta ramps up large-scale data center investments amid growing local scrutiny.
Bloomberg reports Meta has signed multi-gigawatt nuclear power agreements intended to supply electricity for its AI data centers, reflecting the scale of power demand for new AI infrastructure. The deals highlight hyperscalers turning to nuclear generation for reliable, carbon-free baseload as they expand data-center capacity.
The Washington Post reports growing local opposition to data center developments, highlighting community concerns over land use, power and water demand, and quality-of-life impacts that are slowing or complicating new projects.
Goldman Sachs commodities research warns nearly every US power grid could run short on reserve capacity by 2030 as AI data center demand surges, with transmission bottlenecks risking slower buildouts and potentially giving China an edge in the AI race.
Brookfield Asset Management is creating a Radiant cloud unit to lease AI chips directly to developers, using capacity from its own data center builds to lower compute costs versus hyperscalers. The Information reports the plan ties to Brookfield's $100B AI infrastructure program anchored by a new $10B fund backed by partners including Nvidia and the Kuwait Investment Authority, with priority access to upcoming campuses in France, Qatar, and Sweden.
Financial Times reports that some developers are installing aeroderivative jet-engine gas turbines to provide tens of megawatts of on-site power for new hyperscale and AI data centres while they wait years for grid interconnections. The fast-to-deploy units let sites start training workloads sooner but rely on fossil fuels and underscore how grid bottlenecks are reshaping build plans.
Alphabet agreed to acquire longtime data center development partner Intersect for $4.75 billion to lock in power-secure capacity for Google Cloud and Gemini AI infrastructure. The deal would give Google control of 25 contracted colocation campuses across North America and Europe and fold a 1.5GW development pipeline into Alphabet, with closing expected in 2H25 pending regulatory review.
Rest of World mapped 8,808 operational data centers and found nearly 7,000 outside the optimal 18–27°C range, with all facilities in 21 countries located in areas averaging above 27°C. Hot-climate buildouts like Singapore, India, and the UAE face higher cooling costs, grid strain, and water demand, accelerating adoption of liquid, immersion, and hybrid cooling plus efficiency mandates.
FT reports that the AI data center boom is hitting severe US grid constraints: soaring electricity demand, long interconnection queues, and permitting hurdles are delaying hyperscale builds. Developers are exploring on-site gas or nuclear generation and lobbying for faster approvals to keep GPU capacity on track.
Financial Conduct Authority chief Nikhil Rathi said current financial rules are not built for foundation models and generative AI, arguing regulators need a cross-sector regime that looks at data, compute and cloud concentration before firms deploy new systems. He called for coordinated oversight with the CMA and ICO so banks and fintechs can prove model governance, avoid bias, and reduce reliance on a handful of hyperscale infrastructure providers.
Coatue's latest C:\Takes argues that AI's infrastructure build-out is still accelerating, with gigawatt-scale data centers needing far more generation and transmission. The note outlines three power options—new generation, regulated utilities, and independent power producers—and highlights hyperscalers paying premiums for nuclear-backed IPP deals like AWS/Talen, Microsoft/Constellation, and NextEra/Google as they chase reliable 24/7 supply.
Fox Business reports that AWS will invest up to $50 billion starting in 2026 to expand AI and supercomputing capacity for U.S. government agencies, adding nearly 1.3 gigawatts across its Top Secret, Secret, and GovCloud regions to deliver secure services like Bedrock, SageMaker, Trainium, and Nvidia-powered systems.
Bloomberg reports that Meta secured permission to buy and sell electricity directly so it can hedge soaring AI data center demand, using a trading desk to pair renewable supply with its hyperscale loads and cut exposure to wholesale price swings.
The Wall Street Journal says the wave of announced U.S. hyperscale campuses is outrunning real-world limits: the number of proposed AI data centers now dwarfs the available power and water, stalled projects are piling up, and the U.S. still hosts roughly 4,200 sites versus just 381 in China, concentrating the grid challenge domestically. Its six-chart package also notes that JPMorgan calculates AI products would need to throw off another $650 billion in annual revenue for investors to earn a 10% return, underscoring how easily today’s record capex could turn into stranded assets if deployments lag.
The Information reports that Blue Owl Capital’s technology lending arm is committing $3 billion to finance OpenAI’s Stargate supercomputer campus, providing structured capital for land, power, and GPU buildout so the startup can accelerate dedicated infrastructure outside of Microsoft’s shared Azure estate.
Financial Times warns that accelerating AI workloads are colliding with a shortage of utility-scale power, as U.S. hyperscalers face multi-year grid upgrade queues and scramble for cleaner generation deals while regions investing in new transmission and renewables pull ahead.
JPMorgan credit strategists estimate the generative AI data center build-out could require roughly $5 trillion of capital this decade, pushing hyperscalers, utilities, and developers to raise funds across investment-grade bonds, high-yield loans, securitizations, and municipal debt to cover land, power, and equipment expansion.
Deutsche Bank executives are evaluating hedging strategies to manage the bank's growing exposure to AI data centre financing, discussing options such as shorting baskets of AI equities or using derivatives to transfer risk as deal volume accelerates.
Bloomberg reports that Amazon Web Services asked federal regulators to intervene after Berkshire Hathaway Energy's PacifiCorp repeatedly missed deadlines to energize new AWS campuses in Oregon, forcing the cloud operator to buy replacement megawatts on the open market, delay planned AI capacity, and warn that wider grid constraints are undermining hyperscale expansion plans.
Reuters reports that Eaton agreed to acquire Boyd Thermal for $9.5 billion in cash to expand its sealing and thermal management products used in EVs, aerospace, and data centers. The deal, expected to close in the first half of 2026 pending approvals, adds liquid cooling and materials capabilities to support high-power electronics growth.
The New York Times reports that Saudi Arabia's Public Investment Fund is accelerating a multi-billion-dollar compute buildout across NEOM, Riyadh, and King Abdullah University of Science and Technology to position the kingdom as a supplier of advanced A.I. services. Officials are pairing long-term GPU procurement deals with U.S. chipmakers and venture stakes in Western start-ups while launching the Alat industrial platform to assemble servers and cooling gear locally. The push is intended to export Saudi-trained models and cloud capacity to partners in the Gulf, Africa, and South Asia as part of Crown Prince Mohammed bin Salman's strategy to diversify beyond oil.
CNBC highlights JPMorgan data showing AI-related capital expenditures added 1.1 percentage points to U.S. GDP growth in the first half of 2025 and propelled trillion-dollar tech valuations, even as small firms like Norton's Florist grapple with tariffs, weak consumer demand, and cost cutting. Surveys from KeyBank and Deloitte plus layoffs at Target, Starbucks, and Wyndham underscore that much of Main Street remains in survival mode despite $100 billion-plus AI infrastructure commitments from Nvidia, OpenAI and their partners.