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After Moss Landing, what’s next for battery storage?

The U.S. energy storage industry finds itself at a crossroads in the aftermath of the January blaze at the 300-MW first phase of Vistra’s Moss Landing energy storage facility near Santa Cruz, California.  Nearby residents reported feeling ill in the days after the blaze, and a legal team that includes celebrity environmental activist Erin Brockovich […]

The U.S. energy storage industry finds itself at a crossroads in the aftermath of the January blaze at the 300-MW first phase of Vistra’s Moss Landing energy storage facility near Santa Cruz, California. 

Nearby residents reported feeling ill in the days after the blaze, and a legal team that includes celebrity environmental activist Erin Brockovich cited possible soil contamination in a lawsuit filed earlier this month. One local elected official compared the incident to the 1979 accident at the Three Mile Island nuclear power plant. Another sponsored a bill to increase zoning setbacks for new energy storage facilities. Elsewhere in California, elected officials in San Luis Obispo and Orange counties enacted moratoriums on utility-scale energy storage development.

Energy storage experts note that the Moss Landing facility was housed indoors and used a type of battery more prone to thermal runaway, among other potential safety issues. Utility-scale lithium-ion battery installations’ overall safety track record is impressive, with just 20 fire-related incidents over the past decade despite a 25,000% increase in installed capacity since 2018, a spokesperson for the American Clean Power Association told Utility Dive last month.

But the Moss Landing incident has nevertheless focused utilities, regulators and lawmakers attention on lithium-ion battery safety. It could also create an opening for non-lithium energy storage technologies to compete, some experts say.

Backlash fears spur renewed focus on lithium-ion battery safety

Despite the political backlash, the Moss Landing incident is unlikely to dent demand for battery systems in the long run, according to experts interviewed by Utility Dive.

“We don’t think Moss Landing will have a very material impact,” said Tim Woodward, managing director at Prelude Ventures. Woodward’s firm is an investor in Element Energy, which offers a proprietary battery management system it says significantly improves battery safety, efficiency and longevity.

The industry has made great strides on battery safety since Vistra commissioned Moss Landing One in 2020, said Ravi Manghani, senior director of strategic sourcing at Anza, a solar and storage analytics firm. He cited the advent of national energy storage safety standards like UL 9540, UL 9540A and NFP 855, all of which factor into a model energy storage ordinance framework released in June by the American Clean Power Association.

“We expect the industry to use this incident as a learning opportunity and push the envelope on safe operations of the multiple gigawatt-hours of projects that are projected to go online in the coming years,” Manghani said.

Such envelope-pushing could benefit technology providers like Element, which claims to “eliminate fire risk” while reducing total cost of ownership by 20% in first-life battery storage systems and 40% in second-life systems. Whereas legacy BMS technology treats the entire battery as a static system, Element’s BMS enables real-time monitoring, diagnostics and controls at the cell level, it says. 

“Fundamentally, we think this technology could predict the elements that may result in thermal runaway 50 to 80 cycles in advance,” allowing operators to take cells offline and avoid potentially catastrophic outcomes like Moss Landing, Woodward said. 

This capability is particularly important for second-life battery installations, where individual modules “are already in a state of divergence,” Woodward added. Element has nearly 2 GWh of used electric vehicle batteries in inventory and in November deployed about 900 of them to create the world’s largest second-life stationary storage installation, a 53-MWh facility in West Texas.

Dramatic improvements in lithium-ion battery safety require fundamental changes to battery management and architecture, said Jon Williams, CEO of Viridi.

UL 9540 and UL 9540A are “observation standards based on putting the technology into failure mode … not an acknowledgement of safety [but rather] what you can do to avoid burning everything down,” he said.

Viridi’s mobile and large-scale lithium-ion battery systems have a “defense in depth” approach that uses the company’s proprietary “fail-safe anti-propagation architecture” alongside other physical and software-based safety systems, according to a presentation shared by Williams. A Viridi 50-kWh battery pack has a predicted failure rate of 1 in 158.5 GWh, compared with 1 in 3.3 GWh for traditional BESS, Viridi says. 

Viridi’s systems cost more than standard BESS, but “over the full lifecycle, it’s more cost-effective not to have to build more ventilation and fire suppression,” he said. “It’s also cheaper to run diesel engines with no emissions controls, but we acknowledge that there is more cost embedded in that emission than just the fuel and hardware.”

In the longer term, efforts to develop solid-state lithium-ion vehicle batteries by automakers like Toyota and technology developers like QuantumScape could benefit the stationary storage industry, said Ric O’Connell, founding executive director of GridLab. That’s because stationary storage is a “technology taker” dwarfed by the electric mobility industry, which is likely to continue driving battery innovation.

“You can’t afford to build a technology just for stationary storage,” he said.

Is 2025 the year for electrochemical alternatives?

Some non-lithium battery technology companies would disagree. 

“[Moss Landing] has been a disruptor for the energy storage industry in general [and offers] an opportunity to highlight the alternatives to lithium-ion batteries,” said Giovanni Damato, president of CMBlu Energy’s U.S. subsidiary.

With no high-toxicity materials, almost 50% water in its active chemistry and better performance in extreme weather conditions, safety is a key part of Damato’s pitch for CMBlu’s organic flow battery systems. The modular systems also scale well, making them economical at durations longer than four hours, Damato told Utility Dive last year. And the supply chain is straightforward to localize thanks to off-the-shelf modules and a polymer-based chemistry that can be sourced wherever plastic feedstocks are available, he said this month.

CMBlu recently secured funding to build a 4-GWh factory in Greece that it aims to commission next year, followed by a “copy-paste” production facility in the United States, Damato said. In the meantime, it’s running at least two utility pilots: a 5-MW/50-MWh deployment for Arizona’s Salt River Project and a “1-2 MWh” installation at a WEC Energy Group cogeneration plant in Milwaukee, Wisconsin.

The Wisconsin deployment sits “just feet away from the boiler unit, so that gives you an indication of what they think the safety profile is,” Damato said.

Utilities and other customers are piloting other non-lithium battery technologies as well. In September, the Viejas Band of Kumeyaay Indians and the U.S. Department of Energy Loan Programs Office closed on a $72.8 million loan to build out a microgrid pairing 15 MW of solar with 10 MWh of vanadium flow batteries and 60 MWh of aqueous zinc batteries. Form Energy — another Prelude Ventures portfolio company — is demonstrating its 100-hour iron-air battery system with utilities in California, New York, Washington and Minnesota

Outside the U.S., sodium-ion chemistry is making inroads into the Chinese battery market thanks to a growing cohort of homegrown technology developers and manufacturers, said Cam Dales, cofounder of Peak Energy, which aims to produce and deploy sodium-ion batteries in the U.S. at utility scale.

NFPP, a variant of sodium-ion battery similar to the lithium-iron-phosphate chemistry popular with American BESS developers, “is fantastically suited to stationary storage,” Dales said. Peak is targeting its first deployments with U.S. utilities and independent power producers this year and intends to stand up the country’s first gigawatt-scale sodium-ion battery factory in 2027, according to its website.

Sodium-ion chemistry is less energy-dense than lithium-ion, trading higher stability — and lower risk of thermal runaway — for lower space efficiency. In addition, the U.S. happens to have one of the highest-quality, lowest-cost sources of raw sodium in the trona fields of Wyoming, Dales said, potentially mitigating supply chain risk as trade tensions rise between the U.S. and China, which continues to dominate the lithium battery supply chain.

Sodium-ion batteries also have “drop-in compatibility with Li-ion manufacturing infrastructure,” which “suggests rapid scaling timelines,” Stanford University researchers Adrian Yao, Sally Benson and William Chueh said in a study published last month. But the technology might not be cost-competitive with lower-cost lithium-ion variants until sometime in the 2030s, “assuming that substantial progress can be made along technology roadmaps via targeted research and development,” they said.

An August analysis by DOE likewise cast doubt on sodium-ion’s near-term cost-competitiveness, projecting 2030 costs between $0.23/kWh and $0.553/kWh against $0.067/kWh to $0.143/kWh for lithium-ion.

Dales is more optimistic, predicting sodium-ion batteries would reach cost parity with LFP at the cell level by 2027. And sodium-ion chemistry promises significantly lower 20-year cost of ownership thanks to a simpler balance-of-system, higher round-trip efficiency and “a long list of improvements that the chemistry enables,” he said.

“There’s a lot of chatter across the industry based on incomplete information,” Dales said. “Even today, [NFPP] wins by a large margin on cost at the project level.”  

But as lithium-ion battery prices continue to fall and system safety improves, the technology could prove difficult to dislodge, at least in the energy storage industry, Woodward said.

“We’ve tried in the past to invest on the thesis that people will say lithium is not safe, and it just hasn’t happened,” he said. “[Lithium] keeps coming down the cost curve and will keep getting deployed as people find ways to minimize the risk.”

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SATORP halts processing activities at Jubail refinery

Saudi Aramco Total Refinery & Petrochemicals Co.—a joint venture of Saudi Aramco (62.5%) and TotalEnergies SE (37.5%)—has temporarily shuttered units at its 460,000 b/d full-conversion refinery complex at Jubail, on Saudi Arabia’s eastern coast, following disruptions resulting from the ongoing war in the Middle East. In an Apr. 10 update

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Intel secures Google cloud and AI infrastructure deal

“Scaling AI requires more than accelerators – it requires balanced systems. CPUs and IPUs are central to delivering the performance, efficiency and flexibility modern AI workloads demand,” said Lip-Bu Tan, CEO  of Intel in a statement. Google does offer custom Armv9-based Axion processors as an alternative to x86 based instances

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Broadcom strikes chip deals with Google, Anthropic

Anthropic said this week that the AI startup’s annual revenue run rate has now crossed $30 billion, up from about $9 billion the previous year. “We are making our most significant compute commitment to date to keep pace with our unprecedented growth,” said Krishna Rao, CFO of Anthropic, in a

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BW Energy granted 25-year extension of license offshore Gabon

BW Energy Gabon has received approval from the Ministry of Oil and Gas of the Gabonese Republic to extend the Dussafu Marin production license offshore Gabon, West Africa. The license period has been extended to 2053 from 2028, inclusive of three 5-year option periods from 2038 onwards. The prior contract was until 2038 inclusive of two 5-year option periods from 2028 onwards. The extra time “provides long-term visibility for production, investments, and reserve development” of the operator’s “core producing asset,” the company said in a release Apr. 7. Ongoing license projects include MaBoMo Phase 2, with planned first oil in second-half 2026, and the Bourdon development following its discovery last year. The timeline also “strengthens the foundation for future infrastructure‑led growth opportunities across the adjacent Niosi and Guduma licenses, both operated by BW Energy,” the company continued. The Dussafu Marin permit is a development and exploitation license with multiple discoveries and prospects lying within a proven oil and gas play fairway within Southern Gabon basin. To the northwest of the block is the Etame-Ebouri Trend, a collection of fields producing from the pre-salt Gamba and Dentale sandstones, and to the north are Lucina and M’Bya fields which produce from the syn-rift Lucina sandstones beneath the Gamba. Oil fields within the Dussafu Permit include Moubenga, Walt Whitman, Ruche, Ruche North East, Tortue, Hibiscus, and Hibiscus North. BW Energy Gabon is operator at Dussafu (73.50%) with partners Panoro Energy ASA (17.5%) and Gabon Oil Co. (9%). Dussafu.

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Santos plans development of North Slope’s Quokka Unit

Santos Ltd. has started development planning in the Quokka Unit on Alaska’s North Slope after further delineating the Nanushuk reservoir. The Quokka-1 appraisal well spudded on Jan. 1, 2026, about 6 six miles from the Mitquq-1 discovery well drilled in 2020. It was drilled to 4,787 ft TD and encountered a high-quality reservoir with about 143 ft of net oil pay in the Nanushuk formation, demonstrating an average porosity of 19%. Following a single stage fracture stimulation, the well achieved a flow rate of 2,190 bo/d. Reservoir sands correlated between the two discoveries, coupled with fluid analyses, confirm the presence of high‑quality, light‑gravity oil, supporting strong well performance and improved pricing relative to Pikka oil. Together with additional geological data, these results underpin the potential for a two‑drill‑site development with production capacity comparable to Pikka phase 1, the company said.  Rate and resource potential for the two-drill-site development is being evaluated. Resource estimation is ongoing and appraisal results will be evaluated as part of the FY26 contingent resource assessment. In FY25, Santos reported 2C contingent resources of 177 MMboe for the Quokka Unit. Based on these results, Santos has started development planning, including the initiation of key permitting activities. Santos is operator of the Quokka Unit (51%) with partner Repsol (49%).

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Fluor, Axens secure contracts for US grassroots refinery project

Fluor Corp. and Axens Group have been awarded key contracts for America First Refining’s (AFR) proposed grassroots refinery at the Port of Brownsville, Tex., advancing development of what would be the first new US refinery to be built in more than 50 years. Fluor will execute front-end engineering and design (FEED) for the project, while Axens will serve as technology licensor of core refining process technologies to be used at the site, the service providers said in separate Apr. 7 releases. The AFR refinery is designed to process more than 60 million bbl/year—or about 164,400 b/d—of US light shale crude into transportation fuels, including gasoline, diesel, and jet fuel. Contract details Without disclosing a specific value of its contract, Fluor said the scope of its FEED study will cover early-stage engineering and design required to define project execution, cost, and schedule based on a complex that will incorporate commercially proven technologies to improve efficiency and emissions performance while processing domestic shale crude. As technology licensor, Axens said it will deliver process technologies for key refining units at the site, including those for: Naphtha, diesel hydrotreating. Continuous catalytic reforming. Isomerization. Alongside supporting improved fuel-quality specifications, the unspecified technologies to be supplied for the refinery will also help to reduce overall energy consumption at the site. Axens—which confirmed its involvement since 2017 in working with AFR on early-stage development of the project—said this latest licensing agreement will also cover engineering support, equipment, catalysts, and services across the refinery’s process configuration. Project background, commercial framework Upon first announcing the project in March 2026, AFR said the proposed development came alongside an already signed 20-year offtake agreement with a global integrated oil company covering 1.2 billion bbl of US light shale crude, as well as capital investment to support construction. As part of the

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EIA: US crude inventories up 3.1 million bbl

US crude oil inventories for the week ended Apr. 3, excluding the Strategic Petroleum Reserve, increased by 3.1 million bbl from the previous week, according to data from the US Energy Information Administration (EIA). At 464.7 million bbl, US crude oil inventories are about 2% above the 5-year average for this time of year, the EIA report indicated. EIA said total motor gasoline inventories decreased by 1.6 million bbl from last week and are about 3% above the 5-year average for this time of year. Finished gasoline inventories increased while blending components inventories decreased last week. Distillate fuel inventories decreased by 3.1 million bbl last week and are about 5% below the 5-year average for this time of year. Propane-propylene inventories increased by 600,000 bbl from last week and are 71% above the 5-year average for this time of year, EIA said. US crude oil refinery inputs averaged 16.3 million b/d for the week ended Apr. 3, which was 129,000 b/d less than the previous week’s average. Refineries operated at 92% of capacity. Gasoline production decreased, averaging 9.4 million b/d. Distillate fuel production increased, averaging 5.0 million b/d. US crude oil imports averaged 6.3 million b/d, down 130,000 b/d from the previous week. Over the last 4 weeks, crude oil imports averaged about 6.6 million b/d, 9.1% more than the same 4-week period last year. Total motor gasoline imports averaged 571,000 b/d. Distillate fuel imports averaged 152,000 b/d.

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Oil prices plunge as Iran war tensions ease amid tentative Hormuz reopening

Crude oil prices plunged sharply on Apr. 7 after US President Donald Trump announced a conditional 2-week ceasefire agreement with Iran, contingent on reopening the Strait of Hormuz and restoring safe passage for energy shipments. Both Brent and WTI crude oil fell towards $95/bbl, marking their largest single-day decline since 2020. Under the agreement, Iran signaled willingness to halt attacks on shipping and allow transit through Hormuz while broader negotiations continue. The US also indicated it would assist in clearing a backlog of tankers and stabilizing maritime traffic. Benchmark crude prices initially surged above $110/bbl in early April amid fears of prolonged supply disruption after Iran effectively restricted traffic through the strait—a corridor responsible for roughly 20% of global oil flows. The blockade, triggered by escalating US-Iran hostilities, caused tanker traffic to collapse and stranded millions of barrels of crude and refined products in the region. Despite the price correction, analysts caution that supply disruptions and infrastructure damage will continue to constrain markets. The conflict has already impaired regional energy assets, including LNG infrastructure in Qatar, and forced producers across the Middle East to curtail output or delay exports. The US Energy Information Administration (EIA) warned that fuel prices may remain elevated for months even if flows normalize, citing logistical bottlenecks, depleted inventories, and continued geopolitical uncertainty. “In theory, the 10–13 million b/d of crude oil and product supply stranded behind the Strait should now be gradually released. Whether the pre-March status quo will be re-established depends entirely on whether the truce can be turned into a permanent peace during the negotiations in Pakistan,” said Tamas Varga, analyst, PVM Oil Associates. “What appears evident, at least for now, is that the current quarter, the April–June period, will be the tightest, as the scarcity of available oil, both crude and refined

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EIA: Brent crude to reach $115/bbl in second-quarter 2026

Global oil markets have entered a period of acute volatility, with prices expected to surge into second-quarter 2026 as war-driven supply disruptions in the Middle East constrain flows through the Strait of Hormuz, according to the US Energy Information Administration (EIA)’s April Short-Term Energy Outlook. The agency estimates that Brent crude averaged $103/bbl in March and will climb further to a quarterly peak of about $115/bbl in second-quarter 2026, reflecting a sharp tightening in global supply following widespread production shut-ins across key Gulf producers. The disruption stems from the effective closure of the Strait of Hormuz, a critical chokepoint that typically carries nearly 20% of global oil supply. The US-Iran war in the region has forced producers including Saudi Arabia, Iraq, Kuwait, and the UAE to curtail output significantly. EIA estimates that crude production shut-ins averaged 7.5 million b/d in March and will rise to a peak of 9.1 million b/d in April. In this outlook, EIA assumes the conflict does not persist past April and that traffic through the Strait of Hormuz gradually resumes. Under those assumptions, EIA expects production shut-ins will fall to 6.7 million b/d in May and return close to pre-conflict levels in late 2026. The scale of the outage has rapidly flipped the market from prior expectations of oversupply into a pronounced deficit, with global inventories drawing sharply during the second quarter. Despite an assumption that the conflict does not persist beyond April, the agency warns that supply chains will take months to normalize, keeping a geopolitical risk premium embedded in prices through late 2026. EIA forecasts the Brent crude oil price will fall below $90/bbl in fourth-quarter 2026 and average $76/bbl in 2027, about $23/bbl higher than in its February STEO forecast. This price forecast is highly dependent on EIA’s assumptions of both the

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AI is a Positive Catalyst for Grid Growth

Data centers, particularly those optimized for artificial intelligence workloads, are frequently characterized in public discourse as a disruptive threat to grid stability and ratepayer affordability. But behind-the-narrative as we are, the AI‑driven data center growth is simply illuminating pre‑existing systemic weaknesses in electric infrastructure that have accumulated over more than a decade of underinvestment in transmission, substations, and interconnection capacity. Over the same period, many utilities operated under planning assumptions shaped by slow demand growth and regulatory frameworks that incentivized incremental upgrades rather than large, anticipatory capital programs. As a result, the emergence of gigawatt‑scale computing campuses appears to be a sudden shock to a system that, in reality, was already misaligned with long‑term decarbonization, electrification, and digitalization objectives. Utilities have been asked to do more with aging grids, slow permitting, and chronically constrained capital, and now AI and cloud are finally putting real urgency — and real investment — behind modernizing that backbone. In that sense, large‑scale compute is not the problem; it is the catalyst that makes it impossible to ignore the problem any longer. We are at a moment when data centers, and especially AI data centers, are being blamed for exposing weaknesses that were already there, when in reality they are giving society a chance to fix a power system that has been underbuilt for more than a decade. Utilities have been asked to do more with aging grids, slow permitting, and limited investment, and now AI and cloud are finally putting real urgency — and real capital — behind modernizing that backbone. In that sense, data centers aren’t the problem; they are the catalyst that makes it impossible to ignore the problem any longer. AI Demand Provided a Long‑Overdue Stress Test The nature of AI workloads intensified this dynamic. High‑performance computing clusters concentrate substantial power

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From Land Grab to Structured Scale: Kirkland & Ellis Explains How Capital, Power, and Deal Complexity Are Defining the AI Data Center Boom

The AI data center market is no longer defined by speed alone. For much of the past three years, capital moved aggressively into digital infrastructure, chasing land, power, and platform scale as generative AI workloads began to reshape demand curves. But as Melissa Kalka, M&A and private equity partner, and Kimberly McGrath, real estate partner at Kirkland & Ellis, explain on the latest episode of the Data Center Frontier Show, the industry is now entering a more complex and more consequential phase. The land grab is over. Execution has begun. Capital remains abundant, but it is no longer forgiving. From Capital Rush to Capital Discipline As noted by Kalka and McGrath, the period from roughly 2022 through 2025 marked a rapid acceleration in AI infrastructure investment. Take-private deals involving CyrusOne, QTS, and Switch signaled a structural shift, while hyperscale demand scaled from tens of megawatts to hundreds, and now toward gigawatt-class campuses. But the current phase is not defined by a pullback in capital. Instead, it reflects an expansion of investment pathways and a corresponding increase in scrutiny. “There’s actually more deal flow now,” Kalka notes, pointing to the growing range of entry points across the capital stack, including development vehicles, yield-oriented structures, and private credit. With more capital chasing larger and more complex opportunities, investors are evaluating not just platforms, but the full lifecycle of assets from early-stage development through stabilization and long-term hold. That shift has pulled capital earlier into the process, where risk is higher and less defined. Power availability, permitting, and execution timelines are now central to underwriting decisions. What Defines a “Bankable” Platform In this environment, the definition of a bankable data center platform has tightened. Execution history remains foundational. Investors are looking for consistent delivery, operational reliability, and clean contractual performance. But those factors alone

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CoreWeave and Bell Canada Reset AI Data Center Scale

From GPU Cloud to AI Factory Operator In sum, CoreWeave is moving beyond its origins as a fast-scaling GPU cloud built on scarcity. The company is increasingly positioning itself as an AI infrastructure operator, where competitive advantage comes from integration across hardware, networking, cooling, platform software, workload orchestration, and early access to NVIDIA’s latest systems. That positioning has been reinforced by NVIDIA itself. In January, NVIDIA outlined a deeper alignment with CoreWeave focused on building AI factories, accelerating the procurement of land, power, and shell, and validating CoreWeave’s AI-native software and reference architecture. The partnership also includes deployment of multiple generations of NVIDIA infrastructure across CoreWeave’s platform, including Rubin systems, Vera CPUs, and BlueField data processing units, alongside a $2 billion equity investment. No simple vendor relationship, this is co-development around physical AI infrastructure. Bell Canada and the Rise of Sovereign AI Capacity Viewed through that lens, Bell Canada’s Saskatchewan announcement can be seen as part of the same structural shift. On March 16, Bell and the Government of Saskatchewan unveiled plans for a 300 MW AI Fabric data center in the Rural Municipality of Sherwood, outside Regina. CoreWeave is expected to anchor the site’s NVIDIA-based GPU infrastructure, extending its AI-native platform into a sovereign, hyperscale, power-dense environment. BCE described the project as its largest-ever investment in the province and said it is expected to become Canada’s largest purpose-built AI data center campus. Bell projects up to $12 billion (CDN) in long-term economic impact, along with at least 800 construction jobs and a minimum of 80 permanent roles once the site is operational. More importantly, Bell is explicitly framing the development as a foundation for domestic compute capacity, positioning AI infrastructure as a national asset tied to economic growth and technological sovereignty. That project extends Bell’s broader sovereign AI strategy.

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From Reactor Designs to Real Projects: SMRs Enter the Execution Era as AI Power Demand Accelerates

The pattern emerging is clear. The SMR story is no longer about reactor design. Recent announcements are centered on permits, fuel, supply chains, financing, and customer traction, i.e. the factors that determine whether SMRs become a viable market or remain a technology narrative. The conversation has transitioned from technically compelling reactor concepts to the harder problem of industrial execution. Through the first quarter of 2026, and especially in March, vendors moved beyond partnership announcements to concrete progress in licensing, fuel access, supply-chain development, control systems, customer alignment, and capital formation. The distinction now is between companies building credible deployment pathways and those still positioned around long-dated opportunity. At a high level, these developments fall into three categories. First, regulatory progress: the most difficult and time-consuming milestone. Second, efforts to establish manufacturing and fuel ecosystems that can support repeatable, fleet-scale deployment. Third, a broad repositioning toward power-intensive industrial users, utilities, and increasingly data center–driven load growth. The result is an SMR market that looks less like a single competitive race and more like a set of parallel business models converging on the same objective: dispatchable, carbon-free power that can be financed and deployed with greater predictability than traditional gigawatt-scale nuclear. X-energy: Building a Commercial Path to Scale X-energy has emerged as one of the more credible commercialization stories in the SMR market, with recent moves spanning capital markets, customer development, and supply-chain expansion. Reuters reported on March 20 that the company has confidentially filed for an IPO, aiming to capitalize on renewed investor interest in nuclear and rising electricity demand tied to AI infrastructure. That filing followed closely on an agreement with Talen Energy to evaluate multiple four-unit Xe-100 deployments across U.S. power markets, as well as a MOU with Japan’s IHI to expand U.S.-Japan supply chain capabilities for the reactor.

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DCF Poll: Data Centers and the Public Trust Gap

Matt Vincent is Editor in Chief of Data Center Frontier, where he leads editorial strategy and coverage focused on the infrastructure powering cloud computing, artificial intelligence, and the digital economy. A veteran B2B technology journalist with more than two decades of experience, Vincent specializes in the intersection of data centers, power, cooling, and emerging AI-era infrastructure. Since assuming the EIC role in 2023, he has helped guide Data Center Frontier’s coverage of the industry’s transition into the gigawatt-scale AI era, with a focus on hyperscale development, behind-the-meter power strategies, liquid cooling architectures, and the evolving energy demands of high-density compute, while working closely with the Digital Infrastructure Group at Endeavor Business Media to expand the brand’s analytical and multimedia footprint. Vincent also hosts The Data Center Frontier Show podcast, where he interviews industry leaders across hyperscale, colocation, utilities, and the data center supply chain to examine the technologies and business models reshaping digital infrastructure. Since its inception he serves as Head of Content for the Data Center Frontier Trends Summit. Before becoming Editor in Chief, he served in multiple senior editorial roles across Endeavor Business Media’s digital infrastructure portfolio, with coverage spanning data centers and hyperscale infrastructure, structured cabling and networking, telecom and datacom, IP physical security, and wireless and Pro AV markets. He began his career in 2005 within PennWell’s Advanced Technology Division and later held senior editorial positions supporting brands such as Cabling Installation & Maintenance, Lightwave Online, Broadband Technology Report, and Smart Buildings Technology. Vincent is a frequent moderator, interviewer, and keynote speaker at industry events including the HPC Forum, where he delivers forward-looking analysis on how AI and high-performance computing are reshaping digital infrastructure. He graduated with honors from Indiana University Bloomington with a B.A. in English Literature and Creative Writing and lives in southern New Hampshire with

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OpenAI puts part of Stargate project on hold over runaway power costs

OpenAI has postponed plans to open one of the data centers central to its Stargate project. It announced its plan to open the data center in the UK with great fanfare last September, when it was regarded as a major boost for the country’s nascent AI industry, as well as proving a step up for OpenAI’s international credentials. At the time, Sam Altman, CEO of OpenAI, said, “The UK has been a longstanding pioneer of AI, and is now home to world-class researchers, millions of ChatGPT users, and a government that quickly recognized the potential of this technology.” All of that has been quietly forgotten. The plans for the data center in Northumberland, in the Northeast of England, have been put on hold, with the project ready to be revived when the conditions are ripe for major infrastructure investment, according to a report by the BBC.

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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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Financial services

This page brings together essential resources to help financial institutions evaluate, adopt, and scale AI in regulated environments. Whether you’re exploring early use cases or

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