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9 US electric power sector issues to watch in 2025

Listen to the article 23 min This audio is auto-generated. Please let us know if you have feedback. 2024 was a busy year for the U.S. power sector with a number of significant policy advancements in renewables, transmission, nuclear energy and other areas. The year ahead will undoubtedly be an active one, too, as the […]

2024 was a busy year for the U.S. power sector with a number of significant policy advancements in renewables, transmission, nuclear energy and other areas.

The year ahead will undoubtedly be an active one, too, as the sector navigates ongoing business challenges and the impacts of the 2024 elections. Here are nine key issues to watch in 2025. 

Electricity prices continue perpetual ascent, driven by demand and gas exports

The price U.S. consumers pay for electricity will continue to ascend in 2025, driven by a range of factors including rising demand, transmission and distribution cost increases, and an anticipated rise in the price of natural gas, experts say.

Across all customer classes, U.S. electricity prices are expected to average 13.2 cents/kWh in 2025, up from 12.68 cents/kWh in 2023, according to data from the U.S. Energy Information Administration. Residential electricity prices across all regions will average 16.7 cents/kWh in 2025, up from 15 cents/kWh in 2022.

“Both transmission and distribution cost increases are driven by decarbonization and that is expected to continue nationwide,” Paul Cicio, chair of the Electricity Transmission Competition Coalition, said in an email.

Natural gas prices were low in 2024 but as liquefied natural gas export terminals come on-stream in late 2025 and in 2026 and more U.S. natural gas is shipped out of the country, “we expect higher natural gas prices and resulting higher electricity prices,” Cicio said.

U.S. LNG exports have tripled over the past five years, are expected to double again by 2030 and could increase even further under existing authorizations, Secretary of Energy Jennifer Granholm said in December.

The rise in natural gas exports is also a threat to reliability, Cicio said, “because there is inadequate natural gas pipeline capacity on a regional basis, to add generation.”

The increased LNG exports are happening at a time when building and transportation electrification, data center growth, artificial intelligence, cryptocurrency mining and battery and fuel cell manufacturing are contributing to higher electricity consumption and rising electricity prices.

U.S. electricity 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, ICF said.

Rising demand threatens reliability as 2025 kicks off with grid warnings

The North American Electric Reliability Corp. rang in the New Year with a stark call to action for the electric power sector, signaling years of warnings may now be an immediate threat.

“I’m asking everyone in the electricity supply chain … to take all appropriate actions,” NERC CEO Jim Robb said in a Dec. 31 recorded address, ahead of the cold weather now blanketing parts of the United States.

After nearly two decades of stagnant electricity demand growth, the United States is seeing data centers and electrification drive consumption higher. Combined with generator retirements and a changing resource base, the nation’s grid reliability watchdog says this is a perilous moment for the power system.

Data centers could account for 44% of U.S. electricity load growth from 2023 to 2028, Bain & Co. said in an October analysis. U.S. utilities are facing “potentially overwhelming demand,” the consulting firm said.

NERC published an assessment in December concluding more than half of the U.S. electric grid could see energy shortfalls in the next five to 10 years, particularly under extreme weather conditions. Peak summer demand is forecast to rise by more than 122 GW in the next decade, adding 15.7% to current system peaks, NERC said, while generation retirements of up to 115 GW are possible by 2034.

Federal policies are needed to support energy production, manufacturing and infrastructure, according to National Rural Electric Cooperative Association CEO Jim Matheson. NERC’s report “continues painting a grim picture of our nation’s energy future and growing threats to reliable electricity,” he said.

NERC said it is now worried about the potential for arctic cold to bring extremely low temperatures, damaging winds, snow and freezing rain to Midwestern, Eastern, and Southern states.

“NERC is especially concerned about natural gas supply given the significant amount of [gas] production in the mid-Atlantic and Northeast,” the reliability organization said in a Dec. 31 warning

Natural gas producers have taken “a multitude of proactive measures to prepare for winter weather so that we can provide safe and reliable service to our customers,” according to Natural Gas Supply Association President and CEO Dena Wiggins.

Grid operators plan market changes amid challenging supply/demand dynamics

Making sure there is enough power supply to meet the growing needs of U.S. energy users is one of the top issues facing the operators of U.S. wholesale power markets.

With demand forecasts growing sharply for the first time in years, grid operators like the Midcontinent Independent System Operator are working to ensure their markets send appropriate signals to spur new generation while also working to unclog their interconnection queues.

The PJM Interconnection may be facing the most challenges as it is trying to overhaul its capacity market amid warnings that it may soon face major supply shortfalls.

PJM has for several years taken steps to reform its capacity markets — which led to capacity auction delays and a condensed auction schedule — but the record-high prices of its last capacity auction in July sparked unprecedented turmoil.

The auction will cost ratepayers across the grid operator’s footprint $14.7 billion for the delivery year that begins in June, up from $2.2 billion in the previous auction. Since the results were released, at least three market-related complaints were filed at the Federal Energy Regulatory Commission, PJM has proposed a one-time, fast-track process for shovel-ready projects and more market changes are in the works.

Other grid operators are responding to similar supply/demand challenges. MISO, for example, in November proposed, for a second time, setting a megawatt cap on its annual interconnection queue to limit its study size, as well as exemptions to the cap.

Meanwhile, the California Independent System Operator and the Southwest Power Pool are planning to expand wholesale markets in the West. CAISO aims to launch the Extended Day-Ahead Market in 2026 while SPP plans to start its Markets+ initiative in 2027, pending approval of the tariff by FERC.

Renewables sector is cautious but determined heading into Trump’s second term

In 2025, ongoing load growth in the U.S. will continue driving demand for renewable energy, while the sector simultaneously faces uncertainty due to President-elect Donald Trump’s vow to prioritize fossil fuel-based generation.

Beyond the incoming administration, connecting renewable energy to the grid remains a challenge, with wind and solar constituting the vast majority of capacity in interconnection queues across the country. A lack of sufficient transmission to deliver renewable energy to where it’s needed is also seen as a key challenge. Congress has been considering bipartisan permitting reform legislation that aims to facilitate transmission buildout, but the prospects for such legislation remain uncertain.

Advanced Energy United President and CEO Heather O’Neill said the renewable energy industry is currently “stymied” by bottlenecks, “whether it’s interconnection or siting.”

Despite federal uncertainty, work to solve these bottlenecks is ongoing at the state level, O’Neill said – bolstered by the Federal Energy Regulatory Commission’s Order 1920, which affirmed states’ role in transmission planning, and by emerging solutions to get more out of the current power system like grid-enhancing technologies.

“We know we need to build more, but we also know that we can get a heck of a lot more out of the existing transmission grid,” she said. “When we talk to governors, their staff, commissioners – they want to attract economic development in their state.”

Felisa Sanchez, a partner with law firm K&L Gates’ maritime and finance groups, said that permitting reform legislations could play a significant role if Trump attempts to block offshore wind projects.

“One of the big, key ways that Trump could affect projects is by delaying that permitting process over the next four years,” she said. 

While Trump’s reelection and his strong anti-offshore wind stance have created concerns for the offshore wind industry, Sanchez said project developers “are still engaged in these conversations with the understanding that even if there is a slowdown or a halt to the industry, they anticipate being able to pick up again in four years.” 

Trump is expected to implement even stricter tariffs in his second term, including on imported solar components, which could increase costs and contribute to supply chain constraints. However, as solar technology advances and domestic supply grows to meet demand, prices continue to drop.

NRC reforms expected to benefit nuclear industry amid policy uncertainty

From game-changing federal legislation, to groundbreaking on what could be the United States’ first new grid-connected non-light-water reactor in decades, to commitments by some of the world’s biggest tech companies to power data centers with existing or next-generation reactors, 2024 was a busy year for the U.S. nuclear industry.

Momentum for nuclear energy gathered amid rapidly rising projections of future load growth due to the electrification of buildings and transport, reshoring and decarbonization of heavy industry, and above all, the expected proliferation of power-hungry AI models.

“2024 was the year that we all woke up to the need for nuclear,” said Craig Piercy, CEO of the American Nuclear Society. “2025 is the year we really get down to serious business.”

A reinvigorated U.S. Nuclear Regulatory Commission will be instrumental, experts say. More than a dozen advanced reactor developers are engaging with the NRC on licensing-related matters, “but licensing timelines and costs remain uneven, often attributable to inconsistent quality in mundane but important practices,” Nuclear Innovation Alliance Executive Director Judi Greenwald said in a December paper

In 2025, the agency must continue work on the new, technology-neutral Part 53 licensing framework as Congress holds it accountable for implementing ADVANCE Act provisions like lower application fees, early-mover prizes and hiring incentives to expand its own workforce, Greenwald said. 

Developers of smaller-scale reactors, like Oklo and Last Energy, could begin to benefit in 2025 from an ADVANCE Act provision that establishes an 18-month licensing timeline for microreactors and may enable even faster approvals for subsequent microreactor license applications. 

“The NRC has acknowledged that these timelines are doable,” said Ryan Duncan, vice president of government relations at Last Energy. 

While it remains to be seen if the Trump administration will aim to maintain current funding levels for emerging nuclear technologies, the U.S. Department of Defense is likely to remain “very interested” in procuring nuclear reactors for on-base resiliency and could advance initiatives announced by the U.S. Army, Navy and Air Force, Duncan said. 

In the civilian world, Holtec could reactivate its 800-MW Palisades nuclear generating station in Michigan by the end of 2025, the company said last fall. Meanwhile, utilities are looking at about 2 GW of uprate opportunities to “wring as much performance out of the existing fleet as possible” and may propose additional nuclear capacity — possibly SMRs at existing nuclear or coal power sites — in integrated resource plans published this year, Piercy said.

Declining battery costs may counter tariff risk as emerging storage technologies look to break out

The United States installed 3,806 MW/9,931 MWh of energy storage in Q3 2024, and the industry is on track for 30% growth in storage deployments for the full year, Wood Mackenzie and the American Clean Power Association said in December.

Though Wood Mackenzie sees annual deployment growth decelerating to 10% from 2025 to 2028 due to “early-stage development constraints,” the industry has powerful tailwinds, including recent and expected future declines in battery input costs and ambitious storage procurement targets in states like New York, California and Massachusetts. Increasingly, state storage procurements focus on installations capable of full-power discharge over durations longer than four hours.

“No one in their right mind would bet against longer and longer duration energy storage at lower cost,” said Intersect Power CEO Sheldon Kimber, whose company in December announced plans to colocate gigawatt-scale wind, solar and battery plants with Google data centers beginning later this decade.

Non-lithium technologies like Form Energy’s iron-air and CMBlu’s redox flow battery are more economical for discharge durations beyond approximately four to eight hours, experts say. Form expects to commission a 1.5 MW/150 MWh commercial demonstration project in Minnesota later this year as it expands its West Virginia factory to meet near-term demand.

The potential for higher tariffs on imported lithium-ion battery components could benefit emerging storage technologies with simpler, easier-to-onshore supply chains, including iron-air, Kimber said. 

But “lithium-ion has a huge head start [and it will be] hard to overcome that leadership position,” especially with lithium battery costs expected to decline further, said Mark Repsher, partner and energy markets expert at PA Consulting.

Load growth prompts states, utilities to embrace virtual power plants

Only 19.5%, or 33 GW, of total North American distributed energy resource capacity — residential and commercial solar arrays and batteries, electric vehicles, smart thermostats, water heaters and more — is enrolled in a virtual power plant, according to a July report from Wood Mackenzie. Smart thermostats alone could provide up to 70 GW of dispatchable VPP capacity, said Renew Home CEO Ben Brown.

Inadequate policy, overcomplicated program design and technological challenges conspire to slow uptake, Wood Mackenzie said. But DER experts interviewed by Utility Dive are optimistic that the tide is turning as load growth outpaces generation capacity additions

“[Utilities] are running out of levers to flip to keep up with capacity and demand,” said Viridi CEO Jon Williams.

In November, Renew Home and NRG announced plans to deploy a 1-GW smart thermostat VPP in Texas by 2035. The following month, the Electric Reliability Council of Texas proposed a doubling of capacity in its aggregated distributed energy resource pilot program. In addition, the Electric Power Research Institute is leading two initiatives to advance common DER interoperability standards.

In 2025 and beyond, state policy could take center stage with DERs, Brown and Williams said. With most parts of the U.S. distribution grid running well below full capacity outside of peak periods and an average five-year wait for bulk interconnections, Williams said policymakers should incentivize distribution-connected energy storage over new transmission-connected generation assets.

“You can’t just add a gas plant because you’re too lazy to use technology,” Williams said.

In October, California Gov. Gavin Newsom, D, ordered the California Public Utilities Commission and other state agencies to find ways to reduce electricity bills in a move that could pave the way for CPUC to set new targets and incentives for utilities to adopt VPPs and make it easier for consumers to get rewarded for participating in VPPs, Brown said. 

FERC, DOE advance major transmission policies as permitting, other challenges remain

2024 saw several major developments in U.S. transmission with more to come in the year ahead as new policies move closer to implementation.

“With increased load from AI and other drivers, and resource adequacy needs as highlighted by NERC’s 2024 Long Term Reliability Assessment, transmission will continue to play a key role in meeting these needs as cost effectively as possible,” said Christina Hayes, executive director of Americans for a Clean Energy Grid.

In terms of interregional transmission, the Federal Energy Regulatory Commission on Nov. 21, largely upheld its Order 1920 on transmission planning and cost allocation, first issued in May, but gave state regulators a bigger role in shaping scenario development and cost allocation. Grid operators must now file plans with FERC indicating how they will comply with the order.

In addition, on Oct. 3, the Department of Energy released the National Transmission Planning Study, which provides a framework for interregional transmission development.

Siting and permitting issues have been a persistent challenge for new transmission. While permitting reform legislation failed to pass in 2024, efforts will continue in the next Congress.

“It will be incumbent upon policymakers to streamline regulatory processes and actively and effectively incentivize investment in new transmission if meaningful progress is to be made on building a robust and modernized grid,“ said Larry Gasteiger, executive director at WIRES.

“The prior Trump administration took significant steps to streamline siting and permitting; the Biden administration pushed a number of individual projects over the finish line and issued [Coordinated Interagency Authorizations and Permits] rules on implementing section 216(h) of the Federal Power Act,” Hayes noted.

Some key questions around transmission, according to Hayes, include “how will the next administration support siting and permitting of transmission through the federal process …. Will it support backstop siting in FERC’s Order No. 1977? What else will this administration do to support siting and permitting of transmission projects?”

Momentum, private sector expected to drive electrification in 2025

The last four years have seen a major push to electrify building and transportation systems, with federal incentives helping to drive the popularity of heat pumps and electric vehicles. But with a second Trump administration set to begin this month, supporters of the shift away from fossil fuels are counting on momentum and the private sector to continue progress.

“As we move into the deployment phase and the implementation phase, it’s going to be more and more important that folks are using that money well,” said Jeff Allen, executive director of Forth, a nonprofit focused on EV adoption. “That’s probably going to be a lot of the funding you have to live off, for the next few years.”

“There’s also going to be a lot more people looking over your shoulder,” Allen said, speaking during a Dec. 17 webinar focused on the outlook for electrification.

Through the Infrastructure Investment and Jobs Act and the Inflation Reduction Act, President Biden has made billions available to support the clean energy transition. Heat pump incentives have been rolled out on the state-level and more than half of the authorized funds will be distributed to the states before Trump takes office, experts say.

But Trump has talked about ending EV tax credits, which can total up to $7,500 per vehicle. The incentives helped push sales of EVs to almost 9% of U.S. light-duty vehicle sales in the third quarter of last year. 

JD Power in August said it expects EV sales to achieve a 36% market share by 2030.

“I do think we’re going to see some of these tax incentives really come under fire,” said Lynda Tran, CEO of Lincoln Room Strategies.

But the bulk of the EV transition work will continue, Tran said, with the private sector continuing to ramp up investments in clean energy manufacturing. “They’re planning to double down,” she said.

Development of EV charging infrastructure is also key.

The $5 billion National Electric Vehicle Infrastructure program authorized by the IIJA aims to install thousands of EV chargers around the country but relatively few have been rolled out so far, said Ryan McKinnon, spokesperson for the Charge Ahead Partnership. “The slow pace has turned the program into a poster child for sluggish federal bureaucracy,” he said.

If the NEVI program is scaled back “it will not have a major impact. Businesses that are poised to turn a profit, gain new customers and expand into a new revenue stream will continue to build, own and operate EV charging stations.”

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He added, “geopolitical events would be the most likely origin of any type of medium to long term disruption, think China-Taiwan, expansion of the Russia-Ukraine conflict, or escalation in the US-China trade war.” For lower impact events, he said, “[Nvidia] does a nice job of setting conservative shipment goals and targets for Wall Street, which they almost invariably beat quarter after quarter. This provides some cushion for them to absorb a labor, process, or geopolitical hiccup and still meet their stated goals. Shipment volumes may not exceed targets, but shipments would continue to flow; the spice must flow after all.” In a worst-case scenario where shipments are materially impacted, there is little recourse for enterprises that are not large-scale cloud consumers with clout with the limited providers in the space, Bickley added. Enterprises joining a ‘very long queue’ According to Sanchit Vir Gogia, the chief analyst at Greyhound Research, the Nvidia earnings call “confirms that the bottleneck in enterprise AI is no longer imagination or budget. It is capacity. Nvidia reported $57 billion in quarterly revenue, with more than $51 billion from data center customers alone, yet still described itself as supply-constrained at record levels.” Blackwell and Blackwell Ultra, he said, have become the default currency of AI infrastructure, yet even at a build rate of roughly 1,000 GPU racks per week, the company cannot meet demand. Long-term supply and capacity commitments, said Gogia, “now stand at around $50.3 billion, and multi-year cloud service agreements have jumped to $26 billion, implying that much of the next wave of capacity has already been pre-booked by hyperscalers and frontier labs. Enterprises are not stepping into an open market. They are joining the back of a very long queue.”

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Nvidia is flying high: Is there anything left to say?

Supply chain risks, he said, “are numerous in nature; however, it is clear that Nvidia is customer Number One with all of their suppliers, which drives an inordinate allocation of resources to ensure that production flows. Any disruption would likely be materials-based as opposed to a process or labor issue from their vendor base.” He added, “geopolitical events would be the most likely origin of any type of medium to long term disruption, think China-Taiwan, expansion of the Russia-Ukraine conflict, or escalation in the US-China trade war.” For lower impact events, he said, “[Nvidia] does a nice job of setting conservative shipment goals and targets for Wall Street, which they almost invariably beat quarter after quarter. This provides some cushion for them to absorb a labor, process, or geopolitical hiccup and still meet their stated goals. Shipment volumes may not exceed targets, but shipments would continue to flow; the spice must flow after all.” In a worst-case scenario where shipments are materially impacted, there is little recourse for enterprises that are not large-scale cloud consumers with clout with the limited providers in the space, Bickley added. Enterprises joining a ‘very long queue’ According to Sanchit Vir Gogia, the chief analyst at Greyhound Research, the Nvidia earnings call “confirms that the bottleneck in enterprise AI is no longer imagination or budget. It is capacity. Nvidia reported $57 billion in quarterly revenue, with more than $51 billion from data center customers alone, yet still described itself as supply-constrained at record levels.” Blackwell and Blackwell Ultra, he said, have become the default currency of AI infrastructure, yet even at a build rate of roughly 1,000 GPU racks per week, the company cannot meet demand.

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Server memory prices could double by 2026 as AI demand strains supply

Limited options for enterprise buyers As supply tightens, most enterprises face limited leverage in selecting suppliers. “Enterprise will have less control over what memory supplier they can choose unless you are a hyperscaler or tier-2 AI datacenter scale enterprise,” Neil Shah, VP for research and partner at Counterpoint Research, told NetworkWorld. “For most enterprises investing in AI infrastructure, they will rely on vendors such as Dell, Lenovo, HPE, Supermicro, and others on their judgment to select the best memory supplier.” Shah advised enterprises with control over their bill of materials to negotiate and lock in supply and costs in advance. “In most cases for long-tail enterprises, smaller buyers without volume leverage, they will have little control as demand outstrips supply, so the prudent thing would be to spread out the rollout over time to average out the cost spikes,” he said. Legacy shortage opens door for Chinese suppliers The current pricing pressure has its roots in production decisions made months ago. According to Counterpoint, the supply crunch originated at the low end of the market as Samsung, SK Hynix, and Micron redirected production toward high-bandwidth memory for AI accelerators, which commands higher margins but consumes three times the wafer capacity of standard DRAM. That shift created an unusual price inversion: DDR4 used in budget devices now trades at approximately $2.10 per gigabit, while server-grade DDR5 sells for around $1.50 per gigabit, according to the firm. This tightness is creating an opportunity for China’s CXMT, noted Shah. “DDR4 is being used in low- to mid-tier smart devices and considering bigger vendors such as Samsung and SK Hynix planned to ramp down DDR4 capacity, CXMT could gain advantage and balance the supply versus demand dynamics moving into the second half of next year,” Shah said.

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Cobalt 200: Microsoft’s next-gen Arm CPU targets lower TCO for cloud workloads

These architectural improvements underpin Cobalt 200’s claimed increase in performance, which, according to Stephen Sopko, analyst at HyperFRAME Research, will lead to a reduction in total cost of ownership (TCO) compared to its predecessor. As a result, enterprise customers can benefit from consolidating workloads onto fewer machines. “For example, a 1k-instance cluster can see up to 30-40% TCO gains,” Sopko said, adding that this also helps enterprises free up resources to allocate to other workloads or projects. Moor Strategy and Insights principal analyst Matt Kimball noted that the claimed improvements in throughput-per-watt could be beneficial for compute-intensive workloads such as AI inferencing, microservices, and large-scale data processing. Some of Microsoft’s customers are already using Cobalt 100 virtual machines (VMs) for large-scale data processing workloads, and the chips are deployed across 32 Azure data centers, the company said. With Cobalt 200, the company will directly compete with AWS’s Graviton series and Google’s recently announced Axion processors, both of which leverage Arm architecture to deliver better price-performance for cloud workloads. Microsoft and other hyperscalers have been forced to design their own chips for data centers due to the skyrocketing costs for AI and cloud infrastructure, supply constraints around GPUs, and the need for energy-efficient yet customizable architectures to optimize workloads.

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AWS boosts its long-distance cloud connections with custom DWDM transponder

By controlling the entire hardware stack, AWS can implement comprehensive security measures that would be challenging with third-party solutions, Rehder stated. “This initial long-haul deployment represents just the first implementation of the in-house technology across our extensive long-haul network. We have already extended deployment to Europe, with plans to use the AWS DWDM transponder for all new long-haul connections throughout our global infrastructure,” Rehder wrote. Cloud vendors are some of the largest optical users in the world, though not all develop their own DWDM or other optical systems, according to a variety of papers on the subject. Google develops its own DWDM, for example, but others like Microsoft Azure develop only parts and buy optical gear from third parties. Others such as IBM, Oracle and Alibaba have optical backbones but also utilize third-party equipment. “We are anticipating that the time has come to interconnect all those new AI data centers being built,” wrote Jimmy Yu, vice president at Dell’Oro Group, in a recent optical report. “We are forecasting data center interconnect to grow at twice the rate of the overall market, driven by increased spending from cloud providers. The direct purchases of equipment for DCI will encompass ZR/ZR+ optics for IPoDWDM, optical line systems for transport, and DWDM systems for high-performance, long-distance terrestrial and subsea transmission.”

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Nvidia’s first exascale system is the 4th fastest supercomputer in the world

The world’s fourth exascale supercomputer has arrived, pitting Nvidia’s proprietary chip technologies against the x86 systems that have dominated supercomputing for decades. For the 66th edition of the TOP500, El Capitan holds steady at No. 1 while JUPITER Booster becomes the fourth exascale system on the list. The JUPITER Booster supercomputer, installed in Germany, uses Nvidia CPUs and GPUs and delivers a peak performance of exactly 1 exaflop, according to the November TOP500 list of supercomputers, released on Monday. The exaflop measurement is considered a major milestone in pushing computing performance to the limits. Today’s computers are typically measured in gigaflops and teraflops—and an exaflop translates to 1 billion gigaflops. Nvidia’s GPUs dominate AI servers installed in data centers as computing shifts to AI. As part of this shift, AI servers with Nvidia’s ARM-based Grace CPUs are emerging as a high-performance alternative to x86 chips. JUPITER is the fourth-fastest supercomputer in the world, behind three systems with x86 chips from AMD and Intel, according to TOP500. The top three supercomputers on the TOP500 list are in the U.S. and owned by the U.S. Department of Energy. The top two supercomputers—the 1.8-exaflop El Capitan at Lawrence Livermore National Laboratory and the 1.35-exaflop Frontier at Oak Ridge National Laboratory—use AMD CPUs and GPUs. The third-ranked 1.01-exaflop Aurora at Argonne National Laboratory uses Intel CPUs and GPUs. Intel scrapped its GPU roadmap after the release of Aurora and is now restructuring operations. The JUPITER Booster, which was assembled by France-based Eviden, has Nvidia’s GH200 superchip, which links two Nvidia Hopper GPUs with CPUs based on ARM designs. The CPU and GPU are connected via Nvidia’s proprietary NVLink interconnect, which is based on InfiniBand and provides bandwidth of up to 900 gigabytes per second. JUPITER first entered the Top500 list at 793 petaflops, but

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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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