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Data Centers

Topic24 articles · Updated April 24, 2026

Data Center News

The AI-era data center story: hyperscaler build-outs and capacity announcements, power purchase agreements, cooling and efficiency, and the physical supply chain for modern AI.

anthropic
6.8
Apr 24, 2026
Anthropic Seeks European Data Center Capacity Deals
Anthropic is expanding its infrastructure strategy into Europe and Australia, hiring senior leasing and transaction specialists to secure data center capacity. The company posted a London-based principal role paying between £225,000 and £270,000 to lead sourcing, RFPs, term-sheet negotiations and lease execution across multiple countries. This signals a shift from sole reliance on public cloud partners toward direct leasing or developer-sourced capacity to support frontier AI models. Anthropic already has major commercial relationships with Microsoft, Google, and AWS, plus hardware partnerships including Broadcom and access agreements for TPUs. The hires will work with the internal Compute Markets team and position Anthropic to navigate Europe's complex regulatory, power, and development landscape as demand for colocated AI compute grows.
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small-modular-reactors
6.9
Apr 24, 2026
Oklo Targets AI Data Center Power Demand
Oklo is positioning its vertically integrated small modular reactor platform to serve rapidly growing AI data center power demand. The company pairs an in-house SMR design with proprietary fuel recycling and is pursuing regulatory acceleration through the Department of Energy Pilot Program to collect operational data prior to full NRC licensure. Strategic commercial agreements with Meta, Switch, and Equinix create a 14 GW pipeline of customer interest and potential high-margin revenue. With $1.4B in liquidity and a market cap near $12.6B, even partial contract execution could translate into substantial EBITDA upside. The tradeoff is execution risk: permitting, construction, and fuel cycle commercialization remain the gating items for Oklo to deliver on its AI-infrastructure thesis.
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data-centers
6.6
Apr 23, 2026
Populist Movements Target AI Data Centers
There is a rising trend of populist outrage directed at physical AI infrastructure, with data centers becoming visible symbols of perceived elite accumulation. Investor David Friedberg characterized the data center as the modern "temple of the wealthy," a focal point for anger about uneven economic gains. Opinion writers like Ben Shapiro frame these attacks as the political expression of economic populism, distinct from older moral populism. For practitioners, this is not only rhetoric: physical attacks and heightened opposition create real operational, security, and regulatory risks for AI deployments that depend on centralized compute, power, and fiber connectivity.
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brookfield
6.9
Apr 23, 2026
Brookfield Builds Backbone for AI Infrastructure
Brookfield Corporation is positioning itself as a critical AI infrastructure provider through three linked plays: selling renewable power to hyperscalers, developing and owning AI data-center real estate, and offering compute via its new subsidiary, Radiant. The company is also packaging AI-themed investment products through Brookfield Asset Management to capture institutional demand. Brookfield's scale, long-term contracts, and balance-sheet capacity let it absorb capital intensity and lock in customers, creating an infrastructure moat rather than competing on software. Key financial context: market cap $103.41B, recent share price about $45.80, PE 95.45, and trailing revenue growth at -12.48%. For practitioners, Brookfield's moves matter because they affect capacity, energy sourcing, and procurement options for large-scale model training and inference workloads.
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data-centers
6.8
Apr 23, 2026
L&T Launches Vyoma.AI To Build AI Infrastructure
Larsen & Toubro has incorporated a wholly owned subsidiary, Vyoma.AI, to develop data centres and AI infrastructure in India. The company launched Vyoma.AI on April 22, 2026 with an authorised capital of INR 500,000, and L&T along with nominee shareholders hold 100% of the equity. Vyoma.AI is positioned as a sovereign cloud and digital infrastructure platform focused on hyperscale cloud engineering, GPU computing, and running advanced AI workloads. For practitioners this signals a large industrial player moving from systems and construction into end-to-end AI infrastructure provision, with potential implications for onshore capacity, colocations, and partnerships with cloud and GPU suppliers.
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ai-infrastructure
7.2
Apr 23, 2026
Gartner Forecasts IT Spending Growth Driven by AI Infrastructure
Gartner projects worldwide IT spending will reach $6.31 trillion in 2026, a 13.5% increase from 2025, led by massive investment in AI infrastructure and data center expansion. Spending on data center systems is expected to surge 55.8%, approaching $788 billion, while IT services will remain the largest category at over $1.87 trillion. Software spending, buoyed by generative AI development, is set to grow 15.1%. The forecast highlights supply-driven price inflation in high-bandwidth memory, which is reshaping device replacement cycles and margins. The report describes a multi-speed IT market: hyperscalers and AI-focused segments outpace traditional IT categories, creating strong demand for GPUs, accelerators, memory, and high-throughput interconnects.
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nuclear-energy
6.7
Apr 23, 2026
Nuclear Leaders Highlight Power Needs for AI Era
Global nuclear industry leaders convened in Busan under the theme "Nuclear energy for the AI era," positioning nuclear power as a core response to surging electricity demand driven by AI and hyperscale data centers. The joint Korea Atomic Industrial Forum and Pacific Basin Nuclear Conference mobilized roughly 19,000 participants, with 156 companies from 19 countries exhibiting technologies and project proposals. Delegates flagged a projected 1,300 terawatt-hours of data center demand by 2035 and cited AI-related power growth above 120% annually through 2028, prompting major tech firms to invest over $30 billion in nuclear projects during the past 18 months. Policy targets such as the United States' goal of 400 gigawatts by 2050 and planned reactor startups this year underline a tangible shift toward deploying large reactors and SMR options, with supply-chain players like Hyundai Engineering & Construction and Doosan Enerbility playing active roles.
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indigenous-rights
6.9
Apr 22, 2026
Indigenous Groups Resist Data Centers on Tribal Lands
Indigenous organizers, led by Krystal Two Bulls and Honor the Earth, are mobilizing against a wave of proposed hyperscale data centers targeting Native lands. Trackers run by Honor the Earth show roughly 103 to 160 proposed projects near or on tribal and rural territories across the United States. Activists say promised jobs and revenue often fail to materialize while environmental, health, water, and sovereignty harms compound historical patterns of extraction. Some tribes are passing moratoria or outright bans, with the Seminole Nation enacting a moratorium and other communities mounting legal and public campaigns. The story reframes AI infrastructure expansion as a social license and supply chain risk that practitioners should factor into long-term capacity, sustainability, and community engagement strategies.
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data-centers
7.1
Apr 22, 2026
AI Companies Prioritize Expansion Over Emissions Commitments
A recent analysis reveals major AI data center projects are planning to rely on dedicated, gas-fired power plants that bypass local grids, producing large direct greenhouse gas emissions. Eleven projects alone could emit more than 129 million tons of greenhouse gases per year, a footprint larger than an entire nation. Notable items include a Microsoft Texas project authorized for 11.5 million tons per year and the Stargate campus cleared for over 24 million tons annually. Operators prefer behind-the-meter plants because they are quick to build and scale, but they often burn natural gas or methane, undermining corporate net-zero pledges. Permitted emissions are the basis for these estimates, and actual emissions could track higher as demand grows. For engineers, capacity planners, and sustainability teams, the finding reframes tradeoffs between latency, reliability, and climate commitments, and raises immediate regulatory and procurement risks.
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data-centers
7.1
Apr 22, 2026
Utilities Coordinate to Supply AI Data Center Power
AI-driven data centers are reshaping power planning; the solution is not a single technology but coordinated utility-data center partnerships. The blueprint centers on integrated capacity forecasting, accelerated interconnection and permitting, flexible contractual structures like PPAs and demand-response agreements, and deployment of on-site generation and energy storage to manage peak loads and resilience. Operators must treat power as a strategic, long-lead capital item and embed grid operators early in site selection, design, and operational planning. For engineers and infrastructure planners, the priority is synchronized timelines, clearer queue management, and financial mechanisms that align utility investments with data center growth.
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energy-costs
6.8
Apr 22, 2026
UK Firms Shift AI Infrastructure Abroad Over Energy Costs
Rising electricity prices and constrained grid capacity are pushing British AI teams to run models and training workloads outside the UK. A CUDO Compute study, using a Censuswide survey of 700 senior AI decision makers, finds one in five UK firms have already moved AI workloads overseas and 32% of AI-first companies are considering relocation because of power costs. At the same time about 30% of organizations prioritize sovereign or regionally controlled compute despite higher expense. The mismatch between policy ambitions for domestic AI leadership and the realities of local energy and grid constraints is acute, prompting government moves on electricity contracts and levy changes to blunt gas-price-driven spikes.
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data-centers
7.1
Apr 22, 2026
AI Expands Data Centers, Driving Energy and Emissions
AI's growth is accelerating global data center buildout and concentrating energy, water, and material demand in large facilities. Data centers rose from about 8,000 in 2021 to over 12,000 in 2026, with some U.S. facilities exceeding 7.75 million square feet. Experts warn that the compute needed for training and large-scale inference, and the cooling and power infrastructure that supports it, create measurable environmental costs: higher electricity consumption, increased greenhouse gas emissions depending on grid mix, heavy water use for cooling, and upstream impacts from semiconductor mining and manufacturing. Practical mitigations exist, including efficiency gains, renewable power procurement, regional siting decisions, and hardware lifecycle management, but these require policy, corporate commitments, and updated engineering practice to scale effectively.
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ai-infrastructure
7.2
Apr 21, 2026
Core Scientific Raises $3.3B to Build AI Data Centers
Core Scientific is selling $3.3 billion in high-yield junk bonds to finance a strategic pivot from crypto mining into AI infrastructure. The company plans to develop six data center facilities that are contracted to be leased to CoreWeave under a 12-year agreement, a move Bloomberg and other outlets estimate could generate roughly $10 billion in revenue. The financing via junk bonds signals elevated execution and refinancing risk but accelerates capacity expansion for GPU-heavy workloads. For practitioners, the deal matters because it will increase demand for commodity GPUs such as H100-class accelerators, intensify competition for power and colocation capacity, and create more specialized AI rack inventory on the market.
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data-centers
6.9
Apr 21, 2026
AI Sparks Voter Backlash Over Data Centers
Public concern about artificial intelligence is converging with a fast-growing, energy-hungry data center boom ahead of the 2026 US midterms. Voters report anxiety about AI, and polls show majorities favor regulation, but AI is not yet the top-of-mind issue nationally. At the same time, industry money is flowing into campaigns - at least $83 million federal in 2025 and roughly $150 million when state spending is included - while data centers drove about 50% of U.S. electricity demand growth in 2025. Local fights over power, water, and property values, plus rising utility bills, have created a tangible political vulnerability that candidates and governors are trying to manage with pledges for self-generated power, even as pro-AI groups prepare large election spends.
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energy-consumption
7.2
Apr 21, 2026
Companies Face AI Expansion Versus Sustainability Goals
Corporate AI rollouts are increasing electricity use and supply-chain emissions, creating a clash with net zero and ESG targets. The International Energy Agency finds data center electricity consumption rising, with AI as a primary driver. Companies that expand model hosting, build or lease data center capacity, or increase GPU fleets are seeing higher Scope 1, 2 and 3 greenhouse gas footprints. Some renewable procurement will cover part of the demand, but a substantial share of additional power is likely to come from nonrenewable sources, risking the extension of carbon-intensive infrastructure and undermining short-term corporate climate commitments.
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data-centers
7.2
Apr 21, 2026
DataBank Raises $2B for Urban AI Inference Centers
DataBank, a Dallas-based data center developer, secured $2 billion in financing led by Mitsubishi UFJ Financial Group to build an AI inference campus in Red Oak, 20 miles south of Dallas. The deal targets smaller, latency-sensitive inference workloads rather than the remote hyperscale training campuses that dominated the earlier AI boom. Lenders required additional diligence and staged capital, reflecting cautious underwriting for high-power facilities. This financing signals a shift in infrastructure demand toward facilities located closer to population centers, driven by real-time applications, regulatory constraints, and customer preference for lower latency and regional resilience.
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digital-realty
6.6
Apr 21, 2026
Digital Realty Executes Strategic AI Buildout Retrenchment
Digital Realty is capitalizing on the uneven AI data center buildout by prioritizing disciplined capital allocation, asset recycling, and balance-sheet strength. The company is trimming speculative greenfield expansion tied to volatile demand and focusing on higher-return, fully leased facilities and interconnection-rich campuses. That pivot preserves dividend stability while keeping revenue momentum intact; key metrics include a market cap of $72.34B, forward FFO of 7.95, P/FFO of 25.61, and a dividend yield of 2.40%. For ML infrastructure planners and investors, Digital Realty's approach reduces exposure to overcapacity risks, while its portfolio and leasing strategy position it to capture durable demand from hyperscalers and enterprise AI projects.
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data-centers
6.9
Apr 20, 2026
DeSantis Pushes Back On Florida Mega AI Data Center
Florida Governor Ron DeSantis and the Florida Department of Commerce have intervened in a proposed hyperscale AI data center in Fort Meade, with Secretary Alex Kelly calling the planning process "fundamentally flawed." The Fort Meade city commission unanimously approved an agreement with a company tied to developer Stonebridge after roughly three hours of public comment, despite strong local opposition. The administration objects to the absence of a Florida Public Service Commission-approved rate structure that would shield residential customers and small businesses from bearing energy costs, and it joins broader state-level resistance to large-scale AI facilities over water, power, and siting concerns.
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data-centers
6.1
Apr 20, 2026
Broadstaff CEO Urges Tech Workers to Join Data Centers
Broadstaff CEO Carrie Charles says the current wave of tech layoffs creates a direct hiring opportunity in data centers. Demand for skilled electricians, technicians, and hands-on installers is rising as hyperscalers and telecoms expand capacity tied to AI workloads. Broadstaff, which places talent with customers that include Oracle and Verizon, reports record inbound requests for on-site roles. The transition path she recommends is pragmatic: mid-career office workers can retrain for technical field roles that emphasize electrical, mechanical, and facility maintenance skills rather than software-only experience. For data practitioners and managers, that means stronger local hiring pipelines for physical infrastructure, higher salaries for specialized trades, and an actionable reskilling target set for career pivots.
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data-centers
6.9
Apr 18, 2026
EPA Chief Warns On AI Data Center Deals
EPA Administrator Lee Zeldin told Las Vegas business leaders that deals to attract AI data centers must be crafted to protect local energy and water supplies. He emphasized that municipalities and states need precise terms in incentive packages and permitting to avoid straining grids and aquifers. The roundtable highlighted brownfield remediation as an opportunity for development, but Zeldin urged careful environmental review and contract language that balances economic development with resource resilience. For data center operators and infrastructure planners, the message is clear: predictable, enforceable environmental safeguards and transparent utility agreements will become standard conditions for new AI-focused facilities.
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ai-capabilities
4.1
Apr 18, 2026
AI Clarifies Its Limits and Societal Consequences
AI is an engineering achievement that accelerates processing of vast data but remains neither superhuman nor intrinsically wise. The piece distinguishes intelligence, knowledge, understanding, and wisdom, arguing that modern systems deliver rapid pattern recognition and prediction without the contextual judgment that humans provide. The author flags real concerns practitioners should care about: job displacement, the environmental footprint of data centers, and overhyped expectations that obscure systems' brittleness. The right response is measured: treat AI as powerful infrastructure and toolset, not as an autonomous arbiter of values. That shift matters for how teams design validation, monitoring, governance, and deployment strategies in production systems.
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data-centers
6.9
Apr 17, 2026
AI Infrastructure Faces Delays from Permitting, Labor Shortages
Almost 40% of U.S. data center projects face schedule risk as permitting delays, local opposition, and shortages of labor, power, and equipment create bottlenecks. Satellite and AI analytics firm SynMax finds 60% of projects planned for next year have not yet started construction, exposing a pipeline gap while demand for AI compute surges. The shortfall amplifies opportunities for smaller providers known as neoclouds that lease GPU clusters, but it also raises costs and timing uncertainty for enterprises and hyperscalers planning large training and inference deployments.
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data-centers
6.9
Apr 17, 2026
Analytics Group Signals Delays at AI Data Centers
Satellite-based analysis from geospatial firm SynMax indicates roughly 40% of U.S. AI data center construction sites face schedule slippage, with some projects potentially delayed by more than three months. SynMax cross-checks satellite imagery against permits, public statements, and ground reporting to estimate construction progress, flagging slow site-clearing and limited foundation work on major builds including a 1,200-acre, 10-building campus in Shackelford County, Texas, intended for OpenAI capacity provisioning. Developers publicly deny broad delays, but the satellite signal, combined with known regulatory, utility, and supply-chain constraints, suggests timelines for late 2026 completions are at risk. Practitioners should factor potential compute-availability timing shifts into capacity planning and procurement schedules.
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data-centers
7.1
Apr 17, 2026
Apollo President Warns AI Infrastructure May Undermine Returns
Apollo Global Management president Jim Zelter says the AI-driven capex cycle is reshaping tech economics and may not deliver expected returns for investors. Zelter estimates US data centers could require $5 trillion to $6 trillion over the next five years, turning historically asset-light software businesses into asset-heavy ones. That shift amplifies funding needs, creates a potential $1 trillion to $1.5 trillion shortfall versus typical capital-raising channels, and could squeeze investment-grade credit markets. Apollo is financing the buildout-buying developers like Stream Data Centers-but Zelter warns that massive utility does not guarantee attractive economic returns for equity or credit holders. For practitioners, the story signals rising compute availability risks, higher long-term infrastructure costs, and a stronger role for private capital and infrastructure finance in shaping where and how AI systems are deployed.
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