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JLL: Hyperscale and AI Demand Push North American Data Centers Toward Industrial Scale

JLL’s North America Data Center Report Year-End 2025 makes a clear argument that the sector is no longer merely expanding but has shifted into a phase of industrial-scale acceleration driven by hyperscalers, AI platforms, and capital markets that increasingly treat digital infrastructure as core, bond-like collateral. The report’s central thesis is straightforward. Structural demand has […]

JLL’s North America Data Center Report Year-End 2025 makes a clear argument that the sector is no longer merely expanding but has shifted into a phase of industrial-scale acceleration driven by hyperscalers, AI platforms, and capital markets that increasingly treat digital infrastructure as core, bond-like collateral.

The report’s central thesis is straightforward. Structural demand has overwhelmed traditional real estate cycles. JLL supports that claim with a set of reinforcing signals:

  • Vacancy remains pinned near zero.

  • Most new supply is pre-leased years ahead.

  • Rents continue to climb.

  • Debt markets remain highly liquid.

  • Investors are engineering new financial structures to sustain growth.

Author Andrew Batson notes that JLL’s Data Center Solutions team significantly expanded its methodology for this edition, incorporating substantially more hyperscale and owner-occupied capacity along with more than 40 additional markets. The subtitle — “The data center sector shifts into hyperdrive” — serves as an apt one-line summary of the report’s posture.

The methodological change is not cosmetic. By incorporating hyper-owned infrastructure, total market size increases, vacancy compresses, and historical time series shift accordingly. JLL is explicit that these revisions reflect improved visibility into the market rather than a change in underlying fundamentals; and, if anything, suggest prior reports understated the sector’s true scale.

The Market in Three Words: Tight, Pre-Leased, Relentless

The report’s key highlights page serves as an executive brief for investors, offering a concise snapshot of market conditions that remain historically constrained.

Vacancy stands at just 1%, unchanged year over year, while 92% of capacity currently under construction is already pre-leased. At the same time, geographic diversification continues to accelerate, with 64% of new builds now occurring in so-called frontier markets. JLL also notes that Texas, when viewed as a unified market, could surpass Northern Virginia as the top data center market by 2030, even as capital availability and investor appetite remain notably strong.

Taken together, JLL argues these metrics undercut persistent bubble narratives and instead point to a market defined by durable structural demand. By year-end 2025, North America reached 39 GW of installed capacity, split almost evenly between 19 GW of leased colocation space and 20 GW of hyperscaler-owned inventory.

The pace of expansion remains striking. Nine gigawatts of new capacity were delivered in 2025 alone, with another 35 GW currently under construction, and the vast majority of that pipeline already spoken for.

While Northern Virginia, Dallas–Fort Worth, and the Pacific Northwest continue to anchor industry leadership, new and proposed development activity is now swelling rapidly across the Midwest and the South.

Bubble? What Bubble?

JLL directly addresses one of the loudest external critiques of the sector: vacancy risk. Despite record levels of new delivery, North American vacancy has held at just 1% for two consecutive years, underscoring the depth of current demand.

What little availability does exist tends to consist of small, fragmented blocks that are largely unsuitable for large-scale (particularly AI-scale) deployments. Most major tenants entering the market today are securing capacity for 2027–2028 delivery windows.

Crucially, with 92% of the development pipeline already precommitted, JLL suggests the risk of near-term oversupply remains limited.

The report does acknowledge pockets of risk tied to newer business models but estimates that exposure at less than 10% of future tenancy. In JLL’s view, the combination of roughly 99% sector occupancy and an investment-grade tenant base supports the case for continued structural durability.

Frontier Markets Are Taking Over

One of the report’s most consequential findings is geographic: of the 35 GW currently under construction in North America, fully 64% is located in frontier markets. Pressured by tightening constraints around land, water, and especially power in established hubs, the industry is increasingly pushing into territories that until recently were considered secondary.

Key beneficiaries include West Texas, Tennessee, Wisconsin, and Ohio:  markets where energy availability, land access, and permitting dynamics offer developers a clearer path to scale.

The underlying drivers are straightforward: power, land, and politics.

The report also documents a meaningful shift toward hyperscaler self-build. A decade ago, owner-occupied development represented roughly 20% of projects underway; today that figure has climbed to about 40%. At the same time, project scale continues to expand. JLL is now tracking more than ten campuses at or above the 1-gigawatt threshold, a level that would have been exceptional only a few years ago.

Against this backdrop, the report floats a provocative possibility: Texas, when treated as a unified market, could emerge as the world’s largest data center hub by 2030, supported by abundant energy resources and comparatively flexible development conditions.

Northern Virginia remains the industry’s center of gravity today. But the forward pipeline suggests momentum is steadily drifting southwest as developers confront mounting political friction, community pushback, and tightening resource constraints in legacy strongholds.

Demand Concentrates Around Hyperscalers and AI

Hyperscalers continue to dominate the demand landscape, accounting for roughly 65% of North American data center absorption, while enterprise verticals including finance, healthcare, and media have collectively slipped to about 27% as workloads continue migrating cloudward.

At the same time, two emerging buyer cohorts are beginning to register in a meaningful way. Neocloud providers were associated with roughly 1 GW of announced projects in 2025, often in nontraditional markets and with alternative development partners. Pure-play AI firms (most notably OpenAI and Anthropic) were linked to approximately 10 GW of project announcements, with deployments expected to roll out in phases.

The report’s most attention-grabbing signal, however, may be at the hyperscale level. JLL notes that the five largest hyperscalers have announced plans for approximately $710 billion in 2026 capital expenditures, a level theoretically sufficient to support about 35 GW of new or refreshed global capacity. The figure underscores how hyperscaler investment cycles now set the tempo not only for the data center sector, but increasingly for utilities, generation developers, and the broader digital infrastructure supply chain.

That demand pressure is arriving alongside continued pricing momentum. Average data center lease rates rose another 9% in 2025, bringing cumulative increases to roughly 60% since 2020. Larger capacity blocks – particularly those above 1 MW – saw the fastest growth, reflecting the premium attached to AI-scale deployments.

For tenants, the leasing environment remains firm. Annual escalators of 3% or more are now typical, concessions are limited, and renewal spreads remain meaningful. Notably, some frontier markets are now pricing near major metros, driven in part by perceived execution and delivery risk.

JLL nevertheless forecasts continued rent expansion, projecting a roughly 7% CAGR through 2030.

If vacancy is tight, power availability is tighter.

Grid interconnection timelines now average four years or longer across many regions. Developers able to bring flexibility to utility negotiations (through phased load strategies, bridge generation, or onsite power) are often able to accelerate their position in the queue.

Natural gas remains the dominant interim solution, with mobile turbines widely deployed to bridge near-term capacity gaps. Even so, most operators continue to view a permanent grid connection as the preferred long-term outcome.

At the same time, hyperscalers are increasingly pairing load growth with renewable procurement strategies. In parallel, battery energy storage systems (BESS) have surged into the multi-gigawatt range of announced deployments in 2025, evolving rapidly from optional reliability tools into core infrastructure components.

Capital Is Not the Constraint

JLL characterizes current financing conditions as an extraordinary vote of confidence in the sector. Data center debt origination surged from $27 billion in 2020 to $92 billion in 2025, underscoring the depth of institutional appetite. The year’s most eye-catching headline was the announced $40 billion consortium acquisition of Aligned Data Centers, expected to close in 2026 pending approvals.

While traditional asset sales totaled roughly $1.5 billion, the more important evolution is structural. Forward sales, joint ventures, and preferred equity structures are becoming increasingly common, highlighted by the $30 billion Blue Owl–Meta private capital joint venture. In effect, ownership models are becoming more programmable and capital stacks more engineered.

Securitization is also moving firmly into the mainstream. Asset-backed securities issuance exceeded $17 billion in 2025, nearly double the prior year, as lenders and investors grow more comfortable treating stabilized data center assets as durable income vehicles.

The appeal is straightforward: long lease terms, investment-grade tenants, and highly predictable cash flows. Increasingly, data center investments are being underwritten less like speculative real estate and more like infrastructure credit.

Stepping back across leasing fundamentals, geographic expansion, utility dynamics, and capital flows, JLL’s through-line is clear. Data centers have crossed the threshold from niche specialty into core global infrastructure. The tenant base includes some of the most profitable companies in the world. Capital providers are underwriting facilities with utility-like time horizons. And governments are actively competing to attract development.

Viewed holistically, the report advances five macro conclusions: demand appears structural rather than cyclical; most new supply is effectively pre-absorbed; growth is migrating toward energy-rich regions; pricing power remains with landlords; and capital markets show every sign of continuing to fund expansion.

If a limiting factor does emerge, JLL suggests it is far more likely to be power availability and permitting friction than a shortage of capital or customers.

A Sector Growing — and Being Re-Measured

One additional nuance in JLL’s latest edition deserves attention. By expanding its methodology to incorporate owner-occupied hyperscale capacity and more than 40 additional markets, the firm has effectively reset the statistical baseline for tracking the sector. Historical comparisons to prior reports should be viewed through this wider aperture as one that more fully captures the true scale of hyperscale-driven growth.

That scale is already approaching utility-level magnitude. JLL notes that the 35 GW currently under construction in North America alone is roughly equivalent to the annual electricity consumption of the United Kingdom or Italy; a striking illustration of how far the industry has moved beyond its traditional real estate framing.

At the same time, the report subtly underscores a new competitive reality. Developers that can bring flexible load profiles, bridge generation, or onsite solutions to utility negotiations are increasingly able to accelerate grid access. In an era of multi-year interconnection queues, power strategy is fast becoming one of the sector’s defining execution advantages.

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Equinor lets EPC contract for Gullfaks field

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } Equinor Energy AS has let an engineering, procurement, and construction (EPC) contract to SLB to upgrade the subsea compression system for Gullfaks field in the Norwegian North Sea. Under the contract, SLB OneSubsea will deliver two next-generation compressor modules to replace the units originally supplied in 2015 as part of the world’s first multiphase subsea compression system. The upgraded modules will increase differential pressure and flow capacity, enhancing recovery and extending field life, SLB said, while installation within the existing subsea infrastructure will minimize downtime and reduce overall campaign costs, the company continued. Gullfaks field lies in block 34/10 in the northern part of the North Sea. Three large production platforms with concrete substructures make up the development solution for the main field.

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Oxy cutting oil-and-gas capex by $300 million, eyes 1% production growth

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } Occidental Petroleum Corp., Houston, will spend $5.5-5.9 billion on capital projects this year, an 8% drop from 2025 and $800 million less than executives’ early forecast late last year, as the company continues to emphasize efficiency gains. Spending on oil-and-gas operations will be $300 million less than last year. Sunil Mathew, chief financial officer, late last week told investors and analysts that Occidental’s capital spending budget for 2026 (adjusted for the recently completed divestiture of OxyChem) will focus on short-cycle projects and be roughly 70% devoted to US onshore assets. Still, onshore capex will drop by $400 million from last year in part because of a drop in Permian basin activities and efficiency improvements. Other elements of Occidental’s spending plan include: A reduction of about $100 million compared to last year for exploration work A $250 million drop in spending at the company’s Low Carbon Ventures group housing Stratos Mathew said capex, which will be weighted a little to the first half, sets up Occidental’s production to average 1.45 MMboe/d for the full year, a tick up from 2025’s average of 1.434 MMboe/d but down from the roughly 1.48

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Diamondback’s Van’t Hof growing ‘more confident about the macro’

The early Barnett production will help Diamondback slightly increase its oil production this year from 2025’s average of 497,200 b/d. Van’t Hof and his team are eyeing 505,000 b/d this year with total expected production of 926,000-962,000 boe/d versus last year’s 921,000 boe/d. On a Feb. 24 conference call with analysts and investors, Van’t Hof said he’s feeling better than in recent quarters about that production number possibly moving up. The bigger picture for the oil-and-gas sector, he said, has grown a bit brighter. “Some people have been talking about [oversupplying the market] for 2 years. It just hasn’t seemed to happen as aggressively as some expected,” Van’t Hof said. “As we turn to higher demand in the summer and driving season […] people will start to find reasons to be less bearish […] In general, we just feel more confident about the macro after a couple of big shocks last year on the supply side and the demand side.” In the last 3 months of 2025, Diamondback posted a net loss of more than $1.4 billion due to a $3.6 billion impairment charge because of lower commodity prices’ effect on the company’s reserves. Adjusted EBITA fell to $2.0 billion from $2.5 billion in late 2024 and revenues during the quarter slipped to nearly $3.4 billion from $3.7 billion. Shares of Diamondback (Ticker: FANG) were essentially flat at $173.68 in early-afternoon trading on Feb. 24. Over the past 6 months, they are still up more than 20% and the company’s market value is now $50 billion.

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Vaalco Energy advances offshore drilling, development in Gabon and Ivory Coast

Vaalco Energy Inc. is drilling Etame field offshore Gabon and a preparing a field development plan (FDP) off Ivory Coast.  In Gabon, Vaalco drilled, completed, and placed Etame 15H-ST development well on production in Etame oil field in 1V block. The well has a 250 m lateral interval of net pay in high-quality Gamba sands near the top of the reservoir. The well had a stabilized flow rate of about 2,000 gross b/d of oil with a 38% water cut through a 42/64-in. choke and ESP at 54 Hz, confirming expectations from the ET-15P pilot well results. The company is working to stabilize pressure and manage the reservoir. West Etame step out exploration well spudded in mid-February. Drilling the well from the S1 slot on the Etame platform Etame West (ET-14P) exploration prospect has a 57% chance of geologic success and is expected to reach the target zone by mid-March. Etame Marin block lies in Congo basin about 32 km off the coast of Gabon. The license area is spread over five fields covering about 187 sq km. Vaalco is operator at the block with 58.8% interest. In Ivory Coast, Vaalco has been confirmed as operator (60%) of Kossipo field on the CI-40 Block southwest of Baobab field with partner PetroCI holding the remaining 40%. An FDP is expected to be completed in second-half 2026. New ocean bottom node (OBN) seismic data is expected to drive and derisk Vaalco’s updated evaluation and development plan. Estimated Gross 2C resources are 102-293 MMboe in place. The Baobab Ivorien (formerly MV10) floating production storage and offloading vessel (FPSO) is currently off the East coast of Africa and is expected to return to Ivory Coast by late March.  

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Ovintiv sets 2026 plan around Permian, Montney after declaring portfolio shift ‘complete’

2026 guidance For 2026, Ovintiv plans to invest $2.25–2.35 billion, up slightly from the $2.147 billion spent in 2025. McCracken said capital spend will be highest in first-quarter 2026 at about $625 million, “largely due to $50 million of capital allocated to the Anadarko and some drilling activity in the Montney that we inherited from NuVista.” The program is designed to deliver 205,000–212,000 b/d of oil and condensate, some 2 bcfd of natural gas, and 620,000–645,000 boe/d total company production. For full-year 2025, the company produced 614,500 boe/d.  The company is pursuing a “stay‑flat” oil strategy, maintaining liquids output through steady activity rather than aggressive volume growth.  Permian Ovintiv plans to run 5 rigs and 1-2 frac crews in the Permian basin this year, bringing 125–135 net wells online. Oil and condensate volumes are expected to average 117,000–123,000 b/d, with natural gas production of 270–295 MMcfd. The company projects 2026 drilling and completion costs below $600/ft, about $25/ft lower than 2025. Chief operating officer Gregory Givens credited faster cycle times and ongoing application of surfactant technology. Ovintiv has now deployed surfactants in about 300 Permian wells, generating a 9% uplift in oil productivity versus comparable control wells. Givens also reiterated that Ovintiv remains committed to its established cube‑development model. Responding to an analyst question, he said the company continues completing entire cubes at once, then returning “18 months later” to develop adjacent cubes—an approach that stabilizes well performance and reduces parent‑child degradation, he said. “We are getting the whole cube at the same time, and that is working quite well for us,” he said. The company plans to drill its first Barnett Woodford test well across Midland basin acreage in 2026. Ovintiv holds Barnett rights across roughly 100,000 acres and intends to move cautiously given the zone’s depth, higher pressure,

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Interior trims environmental reviews to speed project development

The US DOI issued a final rule to reform NEPA, aiming to speed up energy project approvals on federal lands by reducing procedural delays and clarifying review processes, despite criticism from environmental groups. Feb. 24, 2026 2 min read Key Highlights The final rule streamlines environmental review processes for energy projects on federal lands, aiming to reduce approval times. It clarifies roles for federal, state, local, and tribal agencies, including procedures for public comments on significant projects. Environmental groups and Democratic attorneys general have challenged the rule, citing concerns over diminished public participation and environmental protections. Interior Secretary Doug Burgum emphasizes that the reforms restore NEPA to its original purpose of informing decisions without unnecessary delays. The rule adopts over 80% of provisions from the draft NEPA reform.

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JLL: Hyperscale and AI Demand Push North American Data Centers Toward Industrial Scale

JLL’s North America Data Center Report Year-End 2025 makes a clear argument that the sector is no longer merely expanding but has shifted into a phase of industrial-scale acceleration driven by hyperscalers, AI platforms, and capital markets that increasingly treat digital infrastructure as core, bond-like collateral. The report’s central thesis is straightforward. Structural demand has overwhelmed traditional real estate cycles. JLL supports that claim with a set of reinforcing signals: Vacancy remains pinned near zero. Most new supply is pre-leased years ahead. Rents continue to climb. Debt markets remain highly liquid. Investors are engineering new financial structures to sustain growth. Author Andrew Batson notes that JLL’s Data Center Solutions team significantly expanded its methodology for this edition, incorporating substantially more hyperscale and owner-occupied capacity along with more than 40 additional markets. The subtitle — “The data center sector shifts into hyperdrive” — serves as an apt one-line summary of the report’s posture. The methodological change is not cosmetic. By incorporating hyper-owned infrastructure, total market size increases, vacancy compresses, and historical time series shift accordingly. JLL is explicit that these revisions reflect improved visibility into the market rather than a change in underlying fundamentals; and, if anything, suggest prior reports understated the sector’s true scale. The Market in Three Words: Tight, Pre-Leased, Relentless The report’s key highlights page serves as an executive brief for investors, offering a concise snapshot of market conditions that remain historically constrained. Vacancy stands at just 1%, unchanged year over year, while 92% of capacity currently under construction is already pre-leased. At the same time, geographic diversification continues to accelerate, with 64% of new builds now occurring in so-called frontier markets. JLL also notes that Texas, when viewed as a unified market, could surpass Northern Virginia as the top data center market by 2030, even as capital

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7×24 Exchange’s Dennis Cronin on the Data Center Workforce Crisis: The Talent Cliff Is Already Here

The data center industry has spent the past two years obsessing over power constraints, AI density, and supply chain pressure. But according to longtime mission critical leader Dennis Cronin, the sector’s most consequential bottleneck may be far more human. In a recent episode of the Data Center Frontier Show Podcast, Cronin — a founding member of 7×24 Exchange International and board member of the Mission Critical Global Alliance (MCGA) — delivered a stark message: the workforce “talent cliff” the industry keeps discussing as a future risk is already impacting operations today. A Million-Job Gap Emerging Cronin’s assessment reframes the workforce conversation from a routine labor shortage to what he describes as a structural and demographic challenge. Based on recent analysis of open roles, he estimates the industry is currently short between 467,000 and 498,000 workers across core operational positions including facilities managers, operations engineers, electricians, generator technicians, and HVAC specialists. Layer in emerging roles tied to AI infrastructure, sustainability, and cyber-physical security, and the potential demand rises to roughly one million jobs. “The coming talent cliff is not coming,” Cronin said. “It’s here, here and now.” With data center capacity expanding at roughly 30% annually, the workforce pipeline is not keeping pace with physical buildout. The Five-Year Experience Trap One of the industry’s most persistent self-inflicted wounds, Cronin argues, is the widespread requirement for five years of experience in roles that are effectively entry level. The result is a closed-loop hiring dynamic: New workers can’t get hired without experience They can’t gain experience without being hired Operators end up poaching from each other Workers may benefit from the resulting 10–20% salary jumps, but the overall talent pool remains stagnant. “It’s not helping us grow the industry,” Cronin said. In a market defined by rapid expansion and increasing system complexity, that

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Aeroderivative Turbines Move to the Center of AI Data Center Power Strategy

From “Backup” to “Bridging” to Behind-the-Meter Power Plants The most important shift is conceptual: these systems are increasingly blurring the boundary between emergency backup and primary power supply. Traditionally, data center electrical architecture has been clearly tiered: UPS (seconds to minutes) to ride through utility disturbances and generator start. Diesel gensets (minutes to hours or days) for extended outages. Utility grid as the primary power source. What’s changing is the rise of bridging power:  generation deployed to energize a site before the permanent grid connection is ready, or before sufficient utility capacity becomes available. Providers such as APR Energy now explicitly market turbine-based solutions to data centers seeking behind-the-meter capacity while awaiting utility build-out. That framing matters because it fundamentally changes expected runtime. A generator that operates for a few hours per year is one regulatory category. A turbine that runs continuously for weeks or months while a campus ramps is something very different; and it is drawing increased scrutiny from regulators who are beginning to treat these installations as material generation assets rather than temporary backup systems. The near-term driver is straightforward. AI workloads are arriving faster than grid infrastructure can keep pace. Data Center Frontier and other industry observers have documented the growing scramble for onsite generation as interconnection queues lengthen and critical equipment lead times expand. Mainstream financial and business media have taken notice. The Financial Times has reported on data centers turning to aeroderivative turbines and diesel fleets to bypass multi-year power delays. Reuters has likewise covered large gas-turbine-centric strategies tied to hyperscale campuses, underscoring how quickly the co-located generation model is moving into the mainstream. At the same time, demand pressure is tightening turbine supply chains. Industry reporting points to extended waits for new units, one reason repurposed engine cores and mobile aeroderivative packages are gaining

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Cooling’s New Reality: It’s Not Air vs. Liquid Anymore. It’s Architecture.

By early 2026, the data center cooling conversation has started to sound less like a product catalog and more like a systems engineering summit. The old framing – air cooling versus liquid cooling – still matters, but it increasingly misses the point. AI-era facilities are being defined by thermal constraints that run from chip-level cold plates to facility heat rejection, with critical decisions now shaped by pumping power, fluid selection, reliability under ambient extremes, water availability, and manufacturing throughput. That full-stack shift is written all over a grab bag of recent cooling announcements. On one end of the spectrum we see a Department of Energy-funded breakthrough aimed directly at next-generation GPU heat flux. On the other, it’s OEM product launches built to withstand –20°F to 140°F operating conditions and recover full cooling capacity within minutes of a power interruption. In between we find a major acquisition move for advanced liquid cooling IP, a manufacturing expansion that more than doubles footprint, and the quiet rise of refrigerants and heat-transfer fluids as design-level considerations. What’s emerging is a new reality. Cooling is becoming one of the primary constraints on AI deployment technically, economically, and geographically. The winners will be the players that can integrate the whole stack and scale it. 1) The Chip-level Arms Race: Single-phase Fights for More Runway The most “pure engineering” signal in this news batch comes from HRL Laboratories, which on Feb. 24, 2026 unveiled details of a single-phase direct liquid cooling approach called Low-Chill™. HRL’s framing is pointed: the industry wants higher GPU and rack power densities, but many operators are wary of the cost and operational complexity of two-phase cooling. HRL says Low-Chill was developed under the U.S. Department of Energy’s ARPA-E COOLERCHIPS program, and claims a leap that goes straight at the bottleneck. It can increase

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Policy Shock: Big Tech Told to Power Its Own AI Buildout

The AI data center boom has been colliding with grid reality for more than two years. This week, the issue moved closer to the policy front lines. The White House is advancing a “ratepayer protection” framework that has gained visibility in recent days, aimed at ensuring large AI data center projects do not shift grid upgrade costs onto residential customers. It’s a signal widely interpreted by industry observers as encouraging hyperscalers to bring dedicated power solutions to the table. The Power Question Moves to Center Stage Washington now appears poised to push the industry toward a structural response to the data center power conundrum. The new federal impetus for major technology companies to shoulder the cost of their own power infrastructure is quickly emerging as one of the most consequential policy developments for the digital infrastructure sector in 2026. If formalized, the initiative would effectively codify a shift already underway which has found hyperscale and AI developers moving aggressively toward behind-the-meter generation and dedicated energy strategies. For an industry already grappling with interconnection delays, utility pushback, and mounting community scrutiny, the signal is unmistakable. The era of relying primarily on shared grid capacity for large AI campuses may be ending. From Market Trend to Policy Direction Large tech firms, including the biggest cloud and AI players, have been under increasing pressure from regulators and utilities concerned about ratepayer exposure and grid reliability. Policymakers are now signaling that future large-load approvals may hinge on whether developers can demonstrate energy self-sufficiency or dedicated supply. The logic is straightforward. AI campuses are arriving at hundreds of megawatts to gigawatt scale. Transmission upgrades are measured in multi-year timelines. Utilities face growing political pressure to protect residential customers. In that context, the emerging federal posture does not create a new trend so much as accelerate

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Enterprise Spotlight: Data Center Modernization

The demands for, and challenges of, deploying AI applications has ratcheted up the urgency to bring data centers into the AI age. It’s a strategic imperative and success requires partners across the infrastructure spectrum, from servers and storage to high-performance computing, networking, software, and security. IT leaders, intensely focused on data center modernization, need strategies, roadmaps, and products that will get them there. Download the March 2026 issue of the Enterprise Spotlight from the editors of CIO, Computerworld, CSO, InfoWorld, and Network World and learn how data center modernization is taking shape in 2026.

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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