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Texas, Utah, Last Energy challenge NRC’s ‘overburdensome’ microreactor regulations

Dive Brief: A 69-year-old Nuclear Regulatory Commission rule underpinning U.S. nuclear reactor licensing exceeds the agency’s statutory authority and creates an unreasonable burden for microreactor developers, the states of Texas and Utah and advanced nuclear technology company Last Energy said in a lawsuit filed Dec. 30 in federal court in Texas. The plaintiffs asked the […]

Dive Brief:

  • A 69-year-old Nuclear Regulatory Commission rule underpinning U.S. nuclear reactor licensing exceeds the agency’s statutory authority and creates an unreasonable burden for microreactor developers, the states of Texas and Utah and advanced nuclear technology company Last Energy said in a lawsuit filed Dec. 30 in federal court in Texas.
  • The plaintiffs asked the Eastern District of Texas court to exempt Last Energy’s 20-MW reactor design and research reactors located in the plaintiff states from the NRC’s definition of nuclear “utilization facilities,” which subjects all U.S. commercial and research reactors to strict regulatory scrutiny, and order the NRC to develop a more flexible definition for use in future licensing proceedings.
  • Regardless of its merits, the lawsuit underscores the need for “continued discussion around proportional regulatory requirements … that align with the hazards of the reactor and correspond to a safety case,” said Patrick White, research director at the Nuclear Innovation Alliance.

Dive Insight:

Only three commercial nuclear reactors have been built in the United States in the past 28 years, and none are presently under construction, according to a World Nuclear Association tracker cited in the lawsuit.

“Building a new commercial reactor of any size in the United States has become virtually impossible,” the plaintiffs said. “The root cause is not lack of demand or technology — but rather the [NRC], which, despite its name, does not really regulate new nuclear reactor construction so much as ensure that it almost never happens.”

More than a dozen advanced nuclear technology developers have engaged the NRC in pre-application activities, which the agency says help standardize the content of advanced reactor applications and expedite NRC review. Last Energy is not among them. 

The pre-application process can itself stretch for years and must be followed by a formal application that can take two years or longer for the agency to evaluate. 

Bill Gates-backed TerraPower began non-nuclear construction activities in June at the Wyoming site of its planned 345-MW commercial demonstration reactor, but an NRC timeline suggests a decision on its nuclear construction permit application will not come until 2026 at the earliest. Since December 2023, the agency has cleared Kairos Power to build two low-power, non-grid-connected test reactor facilities in Tennessee. In September, it approved Abilene Christian University’s construction permit application to build a 1-MW research microreactor.

The NRC misinterprets its authorization under the Atomic Energy Act of 1954 to regulate reactors “capable of making use of special nuclear material in such quantity as to be of significance to the common defense and security, or in such manner as to affect the health and safety of the public,” Texas, Utah and Last Energy argued in the Dec. 30 complaint. The states’ research reactors and Last Energy’s design, which “has no credible mode of radioactive release even in the worst reasonable scenario,” do not meet that definition, they said.

Rather than engage with the NRC, Last Energy has focused on developing reactors abroad “in order to access alternative regulatory frameworks that incorporate a de minimis standard for nuclear power permitting,” the plaintiffs said. Last Energy has development agreements for more than 50 nuclear reactor facilities in Europe, it said, including a $400 million project at a former coal power plant in Wales that could come online in 2027.

Reactors exempt from the NRC’s utilization facility rule would still be subject to “stringent [NRC] oversight of the special nuclear material that fuels reactors, not to mention state regulation, export controls, restrictions on nuclear weapons production, and prohibitions on weapons-grade nuclear material,” as well as state regulation of power generation, the plaintiffs said.

The NRC’s Part 53 rulemaking process recognizes the need for proportional, performance-based regulation to accommodate a wider range of technologies, including the non-light-water designs Last Energy and other advanced reactor developers are pursuing, White said. The final Part 53 rule is expected by 2027, the NRC says.

“The completion of Part 53 could potentially move us toward this idea of a more scaled regulatory framework for advanced nuclear reactors,” White said. 

The NRC is in the early stages of a separate process to streamline licensing of microreactors smaller than 20 MW. The bipartisan ADVANCE Act also requires the NRC to evaluate combined license applications for new reactors within 25 months of the application date and make other reforms to improve licensing efficiency. That could ultimately shorten “subsequent custom combined license” applications to as little as six to 18 months, advanced reactor developer Oklo said in an August shareholder letter

Though the NRC is pursuing “a larger constellation of activities that are going to apply to these smaller reactors … that allow them to be deployed rapidly with safety features,” further Congressional action or a new NRC rulemaking would be needed to address the specific issues raised in the Dec. 30 lawsuit, White said.

But the suit “demonstrates the level of interest from states and developers about how we get nuclear technology quickly on the market,” White said. “I can’t imagine this happening 10 or 15 years ago.”

Last Energy said it was unable to provide comment by press time.

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Delays in TSMC’s Arizona plant spark supply chain worries

Delays at TSMC’s Arizona plant could compel its customers to rely on Taiwan-based facilities, leaving them vulnerable to geopolitical risks tied to Taiwan’s dominance in semiconductor production. “This situation could also delay the rollout of next-generation products in the US market, affecting timelines for AI, gaming, and high-performance computing innovations,”

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Trump freezes IRA funding

President Donald Trump suspended all Inflation Reduction Act funding disbursements in an executive order Monday, part of a sweeping set of directives to begin setting the new administration’s energy agenda.  The action, dubbed “Terminating the Green New Deal,” also pauses all funding disbursements for the Infrastructure Investment and Jobs Act, commonly known as the bipartisan infrastructure law. The two laws were hallmarks of former President Joe Biden’s domestic policy agenda, rolling out billions of dollars in federal funding for clean energy construction and manufacturing projects.  Federal agencies have 90 days to submit reviews and spending recommendations to the Office of Management and Budget and National Economic Council.  While it is not uncommon for new presidential administrations to pause funding disbursements for review, the move underscores Trump’s commitment to roll back the Biden administration’s climate policies. Trump also signed an executive order Monday withdrawing the U.S. from the Paris Agreement.  The funding pauses were part of a larger “Unleashing American Energy” executive order, which specifically called out the National Electric Vehicle Infrastructure Formula Program and the Charging and Fueling Infrastructure Discretionary Grant Program for review of their processes for issuing grants, loans and contracts.  The various moves were part of a broader slate of executive actions from Trump as he sets his energy agenda, focused on unleashing “America’s affordable and reliable energy and natural resources.” Trump also called for the end of the “electric vehicle mandate,” and revoked President Biden’s 2021 executive order that called for half of new vehicles sold in the U.S. to be electric by 2030. The president has been critical of the mandate in the past, as well as of EV tax credits provided under the IRA.  Tax credits make up much of the IRA’s spending, compared to grants and loans. A Biden administration official told reporters Friday that roughly 84%,

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Ignoring Chinese offshore wind investment “would be crazy”, GB Energy chair says

The chairman of the UK Labour government’s publicly-owned GB Energy says the company will be “unapologetically long-term’ in its approach to investment. Speaking at the Scottish Offshore Wind Conference in Glasgow, Juergen Maier said GB Energy will be a “national energy champion” for the UK, but he warned it “can’t solve all of the policy challenges”. He also said ignoring potential investment from Chinese firm Mingyang, which is exploring building a turbine facility in Scotland, “would be crazy”, and urged the renewable energy industry to increase engagement with communities to combat net zero “naysayers”. What will GB Energy do? Since its establishment last year, questions have been raised about the exact role GB Energy will play in the UK energy sector and how the company will operate, as well as how many jobs it will create. Prior to the election, Prime Minister Sir Keir Starmer said floating wind will be the “priority” for GB Energy. But there have also been calls for the company to invest its initial £8.3 billion budget in other sectors including green hydrogen, tidal energy and long duration energy storage. While Labour has made GB Energy a central component of its political messaging, Maier reiterated he himself is not politician. © Supplied by DESNZGB Energy chairman Juergen Maier. Image: DESNZ “I am heading and building a state-owned, arm’s length independent energy body, which is different to being a politician,” he said. “We have a strong role to play in that [policy discussion]… but we can’t solve all of the policy challenges.” The former chief executive of Siemens Energy UK said GB Energy will invest “very strategically” and be “unapologetically long-term” in its approach. “That is the role of Great British Energy, we want to be here in 20 years’ time, and who knows how many governments

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Liberty Energy, DC Grid partner on off-grid power for data centers and EV hubs

Dive Brief: A new partnership between off-grid power systems provider DC Grid and energy services firm Liberty Energy seeks to provide data centers and EV hubs with modular, scalable off-grid power solutions in a matter of months, the companies announced Jan. 7.  The partners expect to be able to deploy “small scale power output” within three months for fleet EV charging hubs and “hundreds of megawatts” within 12-18 months for data centers, they said in the announcement. The partnership expects to be “especially useful for data centers and fleet EV hubs that are in long queues for service upgrades from the local utilities,” said DC Grid CEO and founder Vic Shao. Dive Insight: In many parts of North America, utilities and regional power grid operators have seen a surge in requests for heavy power users to connect to the grid. In the Houston area, for example, electric utility CenterPoint Energy saw a 700% year-over-year increase in interconnection requests from data center developers in 2024, Bloomberg reported on Oct. 28.  FTI Consulting expects global electricity demand from data centers and AI clusters to increase from 41 gigawatts in 2023 to 71 GW in 2027 as the average facility in some areas, like Northern Virginia, grows from about 30 megawatts to as much as 90 MW. Utilities are racing to upgrade their grids in response. CenterPoint invested about $3.7 billion in its Houston network in 2024 and plans to spend another $4.9 billion in 2025, Data Center Dynamics reported. But major infrastructure upgrades, such as new transmission lines, require lengthy planning and permitting processes that can take five to 10 years to bring online, FTI Consulting noted. And in congested power markets with lots of existing data centers, new data centers face long waits to connect to the grid, it said. The DC Grid

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AI improvements, DERs and new generation needed to meet power demand: USEA panel

The long lead time to build new dispatchable generation has electric utilities scouring their distribution systems for available electrons — but ultimately, new gas and nuclear resources will be required to meet skyrocketing demand, experts said Jan. 15 during a U.S. Energy Association discussion. A combination of data centers, manufacturing and electrification is driving U.S. electricity consumption higher after two decades of stagnant growth. Demand is projected to grow 9% by 2028 and 18% by 2033 — an increase of 2% per year, on average, relative to 2024 levels — consulting firm ICF said in a September report. Peak demand could grow 5% over the next four years. What must utilities do in order to meet the coming demand? “Build everything you can, as fast as you can,” said Duane Highley, CEO of Tri-State Generation and Transmission Association. “The supply chains are lengthening. To get a turbine on order might be 2030, 2031, delivery. We’re going to need some gas in the mix to make it all happen, even as we build massive amounts of renewables. So I’d say just move as fast as you can today,” he said. “We have to definitely build more, but we also have to expand the capacity of the existing systems that we have,” said Karen Wayland, CEO of GridWise Alliance, a group focused on electric system innovation. Distribution utilities facing significant load growth will likely need new and expanded transmission capacity and generation, but those projects will lag the new load, Wayland said. “So many utilities … are looking much more closely at local resources.” Electricity demand could rise 128 GW over the next five years, with data centers and manufacturing growth leading the increase, Grid Strategies said in December.  Portland General Electric is aiming to have 25% of its peak power come from customers and distributed

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ADNOC, AIQ Complete Trial Phase of Agentic AI Solution

In a release sent to Rigzone recently by the ADNOC team, the company revealed that it and AIQ had completed the trial phase of an agentic AI solution dubbed ENERGYai, which ADNOC described as “the world’s first of its kind agentic artificial intelligence solution tailored for the energy sector”. “The 90 day proof of concept trial demonstrated that ENERGYai’s agentic AI – AI ‘agents’ that are trained in specific tasks across the energy value chain – can deliver significant improvements in the pace and accuracy of upstream exploration through rapid, precise, and detailed seismic survey analysis, alongside relevant, actionable insights to support production optimization at ADNOC’s existing wells,” ADNOC stated in the release. The company noted that the results of the trial “delivered promising real-world results, including a 70 percent improvement in accuracy in major seismic interpretation aspects and significant improvements in advanced reservoir monitoring and anomaly detection”. ADNOC also said the trial “showed promising results in enhancing data quality, as it vastly improved the reliability and usability of operational data inputs by detecting errors, standardizing formats and enriching datasets”. The company revealed in the release that the first operational, scalable version of ENERGYai is expected to be completed in the first half of this year. This version will include five fully operational AI agents covering tasks within subsurface operations and will be test-deployed across a number of upstream assets, with plans to scale its application to thousands of additional wells, ADNOC stated in the release. “The successful completion of this proof of concept for ENERGYai has shown extremely promising results and has confirmed the potential of the solution to be a powerhouse for value creation and sustainable energy production,” Musabbeh Al Kaabi, ADNOC Upstream CEO, said in the release. “Building on this initial achievement, ENERGYai will leverage petabytes of

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Advanced reactors, interstate cooperation part of New York’s nuclear future: Gov. Hochul

Dive Brief: New York will develop a “master plan” for advanced nuclear development, participate in a multi-state initiative on nuclear cost-sharing and development risk-reduction, and support Constellation Energy’s efforts to study advanced nuclear reactor siting at its Nine Mile Point nuclear plant, Gov. Kathy Hochul, D, said Jan. 14. The Master Plan for Responsible Advanced Nuclear Development in New York will build on the New York State Energy Research and Development Authority’s final Blueprint for Advanced Nuclear Technologies and is expected to be published by the end of 2026, Hochul said. Hochul’s announcements come amid an ongoing state request for information seeking input from entities pursuing or considering advanced nuclear development in upstate New York. Dive Insight: Hochul discussed New York’s nuclear ambitions as part of a $1 billion slate of climate and clean energy investments detailed during her annual State of the State address on Jan. 14. Characterizing the investment as “a monumental step towards a greener, more affordable future for New York State,” Hochul described the nuclear initiatives as well as plans to run state agencies on 100% renewable energy by 2030, decarbonize New York’s state and city university campuses and advance the state’s cap-and-invest emissions reduction program. Constellation Energy plans to apply for a U.S. Department of Energy grant “to support the company’s efforts to seek an early site permit from the Nuclear Regulatory Commission for one or more advanced nuclear reactors at the Nine Mile Point Clean Energy Center in Oswego, New York,” the publicly traded power producer said Jan. 15.  An early site permit approves a specific site for future nuclear reactor development. Each permit is valid for 10 to 20 years and can be extended for another 10 to 20 years, according to the NRC. DOE is expected to name grant awardees in early

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US GPU export limits could bring cold war to AI, data center markets

Eighteen countries, including the UK, Canada, Sweden, France, Germany, Japan, and South Korea, are exempted from the AI export caps. The Biden administration had previously banned the export of some powerful AI chips to China, Russia, and other adversaries in rules from 2022 and 2023. But other countries friendly to the US, including Mexico, Israel, India, and Saudi Arabia, would be subject to the quotas. The export limits would take effect 120 days from the Jan. 13 order, and it’s unclear whether the incoming Trump administration will amend or rewrite the rule, although Trump has targeted China as a primary economic competitor of the US. The cost of AI In addition to cutting off most of the world from large AI chip purchases, the rule will force countries such as China and Russia to pump up their own AI capabilities, ultimately reducing US AI leadership, claims Aible’s Sengupta.

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Sustainability, grid demands, AI workloads will challenge data center growth in 2025

Cloud training for AI models Uptime believes that most AI models will be trained in the cloud rather than on dedicated enterprise infrastructure, as cloud services provide a more cost-effective way to fine-tune foundation models for specific use cases. The incremental training required to fine-tune a foundation model can be done cost-effectively on cloud platforms without the need for a large, expensive on-premises cluster. Enterprises can leverage on-demand cloud resources to customize the foundation model as needed, without investing the capital and operational costs of dedicated hardware. “Because fine-tuning requires only a relatively small amount of training, for many it just wouldn’t make sense to buy a huge, expensive dedicated AI cluster for this purpose. The foundation model, which has already been trained by someone else, has taken the burden of most of the training away from us,” said Dr. Owen Rogers, research director for cloud computing at Uptime. “Instead, we could just use on-demand cloud services to tweak the foundation model for our needs, only paying for the resources we need for as long as we need them.” Data center collaboration with utilities Uptime expects new and expanded data center developers will be asked to provide or store power to support grids. That means data centers will need to actively collaborate with utilities to manage grid demand and stability, potentially shedding load or using local power sources during peak times. Uptime forecasts that data center operators “running non-latency-sensitive workloads, such as specific AI training tasks, could be financially incentivized or mandated to reduce power use when required.” “The context for all of this is that the [power] grid, even if there were no data centers, would have a problem meeting demand over time. They’re having to invest at a rate that is historically off the charts. It’s not just

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UK Government’s Bold AI Plan: A Game-Changer for Data Centers and Economic Growth?

The UK government has presently announced its comprehensive “AI Opportunities Action Plan,” positioning artificial intelligence as a cornerstone for economic growth and public service transformation over the next decade. The bold initiative, spearheaded by Prime Minister Keir Starmer, aims to make Britain a global leader in AI development and adoption, with significant implications for the data center industry.   Britain’s ambitious AI roadmap taps into the growing synergy between artificial intelligence and data infrastructure. With dedicated AI Growth Zones and a focus on sustainable energy, the UK is setting the stage for an AI-driven economy that aligns with the next generation of data center demands. The data center industry should watch these developments closely, as they signal opportunities for long-term growth in a rapidly evolving market.   AI Infrastructure Prioritization Meets Major Private Sector Investments    The UK government plan introduces “AI Growth Zones,” areas designed to streamline planning approvals for data centers and enhance access to energy infrastructure.  These zones will focus on de-industrialized regions, providing a dual benefit of revitalizing local economies and accelerating the rollout of AI infrastructure. The first such zone will be established in Culham, Oxfordshire, leveraging local expertise in sustainable energy research, including fusion technologies.   Leading tech firms, including Vantage Data Centers, Nscale, and Kyndryl, have committed £14 billion to AI infrastructure development under the plan, creating 13,250 jobs across the UK, according to a press release.  Vantage Data Centers alone plans to invest over £12 billion to establish one of Europe’s largest campuses in Wales and additional facilities nationwide, generating 11,500 jobs.   Plan Harnesses AI for Both Public, Private Sectors  A significant component of the plan is a proposed 20x increase in public compute capacity by 2030, starting with the development of a new supercomputer to support AI innovation. Alongside this supercharging of

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Prologis and Skybox Advance Warehouse Conversion Strategy with Illinois Data Center Sale

Prologis, among the global leaders in industrial real estate, has taken another major step into the data center market with the sale of a newly developed turnkey data center in Illinois. With the deal for the sale announced last December, partnering with Skybox Datacenters, Prologis had initially converted one of its existing warehouses into a 32 megawatt (MW) facility, demonstrating as far back as 2021 the growing appeal of adaptive reuse for digital infrastructure. As reported by Data Center Dynamics’ Dan Swinhoe: “Skybox said the facility was located in the Elk Grove village area of the city. Images shared by Skybox and Prologis suggest it was Chicago 1, the data center the two companies completed in early 2022 […] DCD reached out for more information. Prologis confirmed Chicago 1 has been sold; the powered shell has been completed, with the turnkey development is in process. The facility spans 190,000 sq ft on a ten-acre site.” The converted facility’s buyer, HMC Capital, sees this acquisition as a marquee asset for its newly launched DigiCo Infrastructure REIT, which targets high-quality data center investments across the United States and Australia. The deal highlights the rapid evolution of Prologis’ data center strategy and the increasing convergence of industrial real estate and digital infrastructure. Prologis’ Growing Presence in Data Centers Prologis is no stranger to data center development, having been featured in prior DCF coverage for its strategic moves into the rapidly burgeoning sector. The Illinois project reflects Prologis’ focus on unlocking higher-value uses for its vast portfolio of warehouses.  According to Dan Letter, President of Prologis, “Warehouse conversions in key markets offer a compelling growth opportunity while delivering outsized returns to our investors and meeting customer demand for digital infrastructure.” To support this strategy, Prologis has aggressively scaled its power procurement capabilities, securing 1.6

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President Biden’s Executive Order on AI Data Center Construction: Summary and Commentary

Issued this week, President Biden’s “Executive Order on Advancing United States Leadership in Artificial Intelligence Infrastructure” represents a transformative policy moment for the data center industry if implemented, underscoring the convergence of two equally transformative forces: the AI revolution and the clean energy transition. For the data center industry, the policy marks a clear shift toward a strategic, mission-critical role in national security and economic resilience. The Executive Order’s vision also aligns with definitively emerging trends in the contemporary data center industry, particularly the pivot toward sustainability and energy efficiency. The policy’s emphasis on clean energy infrastructure—whether through nuclear, geothermal, or long-duration storage—addresses the industry’s growing focus on renewable power. However, executing this vision will require massive investments in grid modernization and streamlined permitting processes, which have historically been bottlenecks for large-scale infrastructure projects. The directive to align new AI electricity demands with clean energy sources puts a spotlight on the challenges posed by AI’s computational intensity. Hyperscale operators and colocation providers will need to redouble their rethinking of power procurement strategies, with a renewed focus on distributed energy resources and partnerships with utility providers. Additionally, the Executive Order’s call for high labor standards and community engagement reflects growing federal acknowledgment of data centers’ societal footprint. While the industry has made strides in community outreach, such measures ensure data center developments are not just sustainable but also equitable, creating jobs and fostering goodwill in the communities where they operate. For what it explicitly defines as “frontier AI data centers,” the Executive Order also seeks to provide a regulatory framework to streamline development, while ensuring robust cybersecurity and supply chain integrity. Importantly though, balancing the urgency of AI infrastructure development with the complex demands of energy transition and national security will require unprecedented levels of public-private collaboration. The Executive Order apparently isn’t just

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Edged Data Centers Builds for the Future On Heels of Innovative Nuclear Power Partnership

MERLIN Properties and Edged Energy to Build Gigawatt-Scale AI Data Center Campuses in Spain To wit, in a furtherance of its groundbreaking partnership in Europe, MERLIN Properties and Edged Energy are collaborating with the regional government of Extremadura, Spain, to establish two state-of-the-art data center campuses. These facilities, designed to support the burgeoning demand for generative AI and advanced computing, promise to set new standards for sustainability and efficiency in the data center industry. A Vision for Sustainability and Growth in Extremadura The data centers, located in Navalmoral de la Mata (Cáceres Province) and Valdecaballeros (Badajoz Province), will each deliver up to 1 GW of IT capacity. Featuring industry-leading innovations, the campuses will boast an average PUE of 1.15, ensuring ultra-efficient operations. Edged says the project represents a significant leap forward in green data center development, aligning with Extremadura’s commitment to leveraging innovation and technology for economic and environmental progress. “Our mission is to create data centers for positive impact, and we are proud to contribute to the Iberian Peninsula’s growing digital economy,” said Jakob Carnemark, CEO of Edged Energy. “The region offers unprecedented fiber connectivity with massive submarine connections worldwide and boasts reliable, abundant, and low-cost renewable energy.” Harnessing Renewable Energy and Cutting-Edge Cooling Technology The Extremadura facilities will operate entirely on electricity from renewable sources, capitalizing on the region’s vast sustainable energy capacity. Extremadura currently produces six times the electricity it consumes, making it an ideal location for gigawatt-scale data centers. The project’s waterless cooling system, ThermalWorks, will enable the facilities to operate without consuming water, a critical innovation for such regions with limited water resources. The system will support ultra-high rack densities of up to 200kW per rack to accommodate the advanced computing demands of AI workloads. Strategic Location and Connectivity The Iberian Peninsula is rapidly becoming

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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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