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2025 Renewable Energy Outlook: Full speed ahead as second Trump administration begins

The renewables industry begins 2025 with the Inflation Reduction Act continuing to spur record investment, and spiking load growth providing new opportunities for deployment. At the same time, interconnection queues across the country remain clogged, siting, permitting, financial and other challenges continue, and industry critic Donald Trump just began his second term as president. “It’s an […]

The renewables industry begins 2025 with the Inflation Reduction Act continuing to spur record investment, and spiking load growth providing new opportunities for deployment. At the same time, interconnection queues across the country remain clogged, siting, permitting, financial and other challenges continue, and industry critic Donald Trump just began his second term as president.

“It’s an interesting moment, because there is this really rapid change, and yet we’re stuck in some really key ways,” said Heather O’Neill, president and CEO of Advanced Energy United. “The interconnection queue is one really clear example where, yes, there’s some progress — FERC’s putting out reform measures — and yet we’re not unleashing the full promise and the economic opportunity and activity that we could.”

After decades of flat load growth, U.S. electricity demand could rise 128 GW over the next five years, according to a report last month from Grid Strategies. At the same time, the number of new transmission interconnection requests has risen by 300% to 500% over the last decade, with 2.5 TW of clean energy and storage capacity currently waiting to connect to the grid, said an October report from the Department of Energy.

However, O’Neill said, the “the macro trends are incredibly positive … We are in the middle of an energy transformation.” She attributed some of her optimism to the scale of investment and growth that the industry has been seeing. 

The energy storage sector is especially dynamic right now, O’Neill said: “A few years ago, [there was] very little in the way of storage capacity showing up, but with so much innovation in the technology, the cost curves are coming down. When we think about how to manage load, storage plays a key role in that.”

Global energy storage installations boomed 76% in 2024 and are projected to continue that streak in 2025, according to a November report from BloombergNEF, but BNEF noted that growth may be impacted by “uncertainties stemming from the new Trump administration.”

Trump has spoken out against electric vehicles and said he will “rescind all unspent funds under the misnamed Inflation Reduction Act.” Congress is expected to try to claw back EV tax credits from the IRA, which could impact the battery industry. Trump has also said he would end offshore wind “on day one” and embraced oil and gas generation, but vowed last month to expedite federal permits and environmental reviews for construction projects that represent an investment of $1 billion or more — a move that could benefit clean energy.

Felisa Sanchez, a partner with law firm K&L Gates’ maritime and finance practice groups, said that Trump’s goal to end offshore wind may come into conflict with his goal of boosting the U.S. economy and its domestic manufacturing. 

“It’s hard to say ‘we’re going to end offshore wind’ when you’re also impacting a vast supply chain that has already been going for the last few years that has been implemented — when ports have been developed, and vessels have started to either be under construction or have come out of the yard ready to work in offshore wind,” she said.


The need to meet load growth on the electric side is not going away. And any administration – Republican, independent, Democratic – foremost in their mind is going to be a strong resilient economy. That’s going to be dependent upon a best-in-class electric distribution grid.

Paul DeCotis

Senior partner and head of East Coast energy and utilities at West Monroe


John Northington, a government affairs advisor and a member of K&L Gates’ public policy and law practice group, said he anticipates that the offshore wind industry may adapt to the new administration by shifting away from “‘steel in water is good for the environment’ as the main message.”

“Maybe for the next four years, it’s that steel in water is good for jobs, it’s money, it’s good for America,” he said. “Talking about the business benefits, rather than environmental benefits, could be a change in trend for some of these companies.”

When speaking to Utility Dive in December, Northington said he was also hopeful about the bipartisan Energy Permitting Reform Act of 2024, sponsored by Sen. Joe Manchin, I-W.Va., and Sen. John Barrasso, R-Wyo. — but the bill was not included in the continuing resolution passed later that month, “taking permitting off the table for this Congress,” said Manchin, who retired in early January.

New demands on the grid

Regardless of how Trump’s second term shapes the U.S. generation mix, his administration will be dealing with an anticipated 3% annual average load growth over the next five years — a level which hasn’t been seen since the 1980s, according to a December report from Grid Strategies

“The need to meet load growth on the electric side is not going away. And any administration — Republican, independent, Democratic — foremost in their mind is going to be a strong resilient economy,” said Paul DeCotis, a senior partner and head of East Coast energy and utilities at West Monroe. “That’s going to be dependent upon a best-in-class electric distribution grid.”

Surging load growth is driven largely by data center demand, which a December report from Lawrence Berkeley National Laboratory found has tripled over the past decade and is projected to double or triple again by 2028. The increase in demand is also the result of industry electrification and growth in domestic manufacturing.

That growth “means continued capital investment in the [energy] industry, regardless of the administration,” DeCotis said. “I don’t think any administration is going to want to come in and all of a sudden see brownouts and blackouts and not enough capacity to meet demand, or have to stall demand and the job growth that goes with it, because they can’t meet energy needs.”

O’Neill said she believes that states will also continue to drive the clean energy transition forward, as they’re where “energy policies happen …. where the investments become real.”

State governors and commissioners “want manufacturing in their state,” she said. “They want data centers in their state. The siting reform conversation is one that I think is not a partisan conversation. It’s: how do we help unlock some of this desired economic activity? For us, the siting and building issues will be something that we’re going to work on in the states, regardless of the landscape in D.C.”


The projects that are being facilitated through [the IRA] are not isolated in blue states. For example, we’re doing projects all over the country and seeing projects work in states like Ohio and Pennsylvania that didn’t used to work.

Dan Smith

Vice president of markets at DSD Renewables


In addition to states and utilities, companies like Microsoft, Amazon and Meta are also helping to drive the demand for clean energy — investing billions in renewable energy deployment in addition to seeking nuclear and natural gas generation to handle load from their data centers.

Molly Jerrard, head of demand response at Enel North America, said she expects that in 2025, “significant load growth …. will challenge our grid’s flexibility and put the reliability of local systems to the test.”

“Combine this with aging infrastructure, congestion, and the uptick in climate-driven grid stress, utilities and grid operators will need to put a bigger focus on adoption of demand response programs and distributed energy resources to address these challenges and increase grid stability,” Jerrard said.

However, she said, “inconsistent data access standards” from utilities continue to limit the scalability of virtual power plants, a potent demand response solution.

O’Neill is excited about VPPs, she said, as she sees “a ton of innovation” flowing into the sector and expanding the ways that VPPs can offer grid flexibility.

“We’re seeing virtual power plants across different regions of the country — whether it’s coastal or Texas — where you’ve got utilities and commissions really putting virtual power plants to the test,” she said. “They’re managing the load, they’re shaving peak loads, and they don’t have to build as much [generation].”

Solar and offshore wind

In 2025, the American Clean Power Association forecasts that utility-scale U.S. solar installations will shrink 16% from 2024, due to the risk of new tariffs under a second Trump administration and concerns that he might work with Congress to repeal aspects of the IRA.

The industry’s residential segment “continued to decline” last year, driven by California, where residential solar cratered following the state’s switch from net metering to net billing in 2023, said a third quarter 2024 report from the Solar Energy Industries Association.

While solar projects in the state “definitely don’t offer the same amount of savings that they used to,” said Dan Smith, vice president of markets at DSD Renewables, “we are continuing to see California be our largest market.”

This is due in part to utility rates “[continuing] to escalate at really extreme levels in California,” he said. “So while we’re experiencing [NEM 3.0] adversely, as utility rates increase, that increases our customers’ savings. So that’s making up a bit of that gap.”

Smith said that DSD Renewables is entering 2025 apprehensive about any potential repeal or reforms to the IRA’s solar tax credits, but hopeful that the Trump administration and Congress will see their value.

“The projects that are being facilitated through that are not isolated in blue states,” he said. “For example, we’re doing projects all over the country and seeing projects work in states like Ohio and Pennsylvania that didn’t used to work.” 

Smith said that if the domestic content adder in the IRA remains in place, and domestic solar supply continues to come online, he won’t be as concerned about potential tariffs. 

“But that’s the question that I think the whole industry has right now — do those suppliers continue to make investments in their domestic factories?” he said. “There are many factories either under construction or planned, and the big question on many of our minds right now is, will any of that federal policy change in such a way that it causes those companies to pull back on those commitments?”

The offshore wind industry also contains a lot of people “holding their breath,” Sanchez said, “waiting to see what happens when [Trump] does come into power at the end of January.”

The stock prices for offshore wind companies like Ørsted and Vestas fell following the election and have yet to recover. Sanchez said she sees this as a “temporary signal” that will depend on what actions Trump takes on offshore wind.

“There’s been a tremendous level of investment, and that has continued this year, even with the more cautious approach that the industry has taken,” Sanchez said. “And I do see that going forward. But again, I think everyone at this moment is in a pause waiting to see what happens over the next couple of months, to see whether it’s worth continuing additional investment.”

On his first day in office, Trump issued an executive order pausing offshore wind lease sales in federal waters and the issuance of approvals, permits and loans for onshore and offshore wind projects. The pauses don’t have a set expiration date, according to the order, but will remain in effect until revoked.


We don’t expect, and I think lots of people out there don’t expect, the IRA to completely be blown up and be obliterated.

Marlene Motyka

Deloitte’s U.S. renewable energy leader


Northington said he finds it promising that Trump’s pick to head the Department of the Interior, former North Dakota governor Doug Burgum, has overseen the development of onshore wind in his state.

“I think that the Trump energy policies are, yes, anti-wind, but when it comes to getting something done, it’s more pro-oil and gas,” he said. “At the end of the day, to dismantle something requires effort and energy, and to ignore something takes much less energy.” 

However, Northington said he’s concerned that the high bureaucratic turnover of Trump’s first administration may continue in his second, and civil servants at agencies like the Bureau of Ocean Energy Management may decide to retire. People might say, “‘Okay. I stuck through round one — am I going to stick through round two?’” he said. “I think that can have a certain deleterious effect on things like getting permits through, or holding lease sales.”

Both solar and offshore wind continue to advance technologically, with promising innovations on the horizon. There are still “a lot of discussions going on about the future of offshore wind, about floating wind, about the development of the technology and the infrastructure needed on the West Coast to support floating wind,” Sanchez said.

The solar industry benefits each year from “continued improvements in efficiency of solar modules,” Smith said. “Now we’re using almost exclusively bifacial solar modules, which increase the energy yield.”

Marlene Motyka, Deloitte’s U.S. renewable energy leader, said she’s hopeful that solar cell technology will continue to advance with further innovations in materials like silicon and perovskite, and she’s excited about a December report from SEIA and Wood Mackenzie that said U.S. solar module factories are now equipped to meet nearly all domestic demand.

Motyka said Deloitte expects “good momentum” for the industry in 2025: “We don’t expect, and I think lots of people out there don’t expect, the IRA to completely be blown up and be obliterated.”

“There are a lot of things that have been coming together over time, and that’s not going to be stopped on a dime,” she said. “I’ve been involved in renewable energy for 17 years, and all of it is kind of coming together now. I think it’s still an exciting time.”

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Fluent Bit vulnerabilities could enable full cloud takeover

Attackers could flood monitoring systems with false or misleading events, hide alerts in the noise, or even hijack the telemetry stream entirely, Katz said. The issue is now tracked as CVE-2025-12969 and awaits a severity valuation. Almost equally troubling are other flaws in the “tag” mechanism, which determines how the records are

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USA Crude Oil Inventories Rise Almost 3MM Barrels WoW

U.S. commercial crude oil inventories, excluding those in the Strategic Petroleum Reserve (SPR) increased by 2.8 million barrels from the week ending November 14 to the week ending November 21, the U.S. Energy Information Administration (EIA) highlighted in its latest weekly petroleum status report. The report, which was released on November 26 and included data for the week ending November 21, showed that crude oil stocks, not including the SPR, stood at 426.9 million barrels on November 21, 424.2 million barrels on November 14, and 428.4 million barrels on November 22, 2024. The report highlighted that data may not add up to totals due to independent rounding. Crude oil in the SPR stood at 411.4 million barrels on November 21, 410.9 million barrels on November 14, and 390.4 million barrels on November 22, 2024, the report revealed. Total petroleum stocks – including crude oil, total motor gasoline, fuel ethanol, kerosene type jet fuel, distillate fuel oil, residual fuel oil, propane/propylene, and other oils – stood at 1.682 billion barrels on November 21, the report showed. Total petroleum stocks were up 2.1 million barrels week on week and up 49.8 million barrels year on year, the report pointed out. “At 426.9 million barrels, U.S. crude oil inventories are about four percent below the five year average for this time of year,” the EIA said in its latest weekly petroleum status report. “Total motor gasoline inventories increased by 2.5 million barrels from last week and are about three percent below the five year average for this time of year. Finished gasoline inventories decreased, while blending components inventories increased last week,” it added. “Distillate fuel inventories increased by 1.1 million barrels last week and are about five percent below the five year average for this time of year. Propane/propylene inventories decreased 1.1 million

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Ivory Coast Sees Oil and Gas Spurring Growth in Next 5 Years

Ivory Coast’s economic growth is poised to accelerate in the next five years as the country sees an increase in oil and gas activity, Planning and Development Minister Kaba Niale said. “We can do a much stronger growth rate in the coming five years,” Niale said in an interview at an African Development Bank conference in Rabat, Morocco’s capital, on Wednesday. A “strong increase” in production of fossil fuels will raise oil output to at least 200,000 barrels per day in the years 2027 to 2028, she said. The world’s top cocoa producer pumped 44,000 barrels a day in 2024, according to the government. Ivory Coast has been positioning itself as a major regional energy hub, attracting companies such as Eni SpA, Houston-based Vaalco Energy Inc. and Brazil’s Petrobras in the last decade. The entry of these global players stems from a government policy to partner with the private sector in areas it thinks would contribute significantly to long-term economic expansion, Patrick Achi, minister of state and special advisor to President Alassane Ouattara, said during an online press conference.  “It’s a paradigm shift where you don’t find the administration sitting there, waiting, asking you questions instead of moving the journey with you,” Achi said. Ivory Coast aims to accelerate economic growth to 7.2% by 2030, from an average of 6.5% achieved between 2021 and 2025. The target forms part of a five-year national development plan to lift the economy to upper-middle-income status.  The energy ministry forecasts that the country could be among the top five African oil producers by 2035, when crude-oil production is expected to reach at least 500,000 barrels per day and natural gas output will account for 1 million cubic feet per day. WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views

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Romania Ready to Impose Oversight of Cos Hit by International Sanctions

Romania will set up a mechanism to place companies at risk of being hit by international sanctions under special oversight, such as the local unit of Russian state-owned Lukoil PJSC, a cabinet member said.  Justice Minister Radu Marinescu said a draft emergency decree published Wednesday, though it doesn’t name specific companies, would affect Lukoil. The Moscow-based oil producer operates Petrotel, a refinery that processes some 50,000 barrels of crude a day and is set to come under US sanctions announced last month.  “It’s necessary to establish the legal framework for such instances,” Marinescu told Bloomberg News. The decree is written broadly, “but one particular case to which this legislation could apply is Lukoil.”  The proposal, which must be approved by Prime Minister Ilie Bolojan’s government, is designed to shield Romania’s energy sector, where uninterrupted supply is critical to avoid price spikes in a country with the highest inflation and widest budget deficit in the European Union.  Under the decree, the government in Bucharest would be empowered to appoint special administrators to manage local entities affected by sanctions triggered by Russia’s war in Ukraine. The measure can be enacted after determining that “a significant economic” fallout will occur or if the company requests it.  The plan mirrors a decision by neighboring Bulgaria to take control of Lukoil’s Neftohim refinery this month. The moves by the two eastern EU member states underscore their efforts to balance compliance with Western sanctions against Russia while trying to safeguard energy security.  Lukoil didn’t immediately respond to a request for comment.  In addition to the Petrotel refinery, Lukoil has a network of more than 300 fueling stations affected US sanctions, which will come into force next month. Petrotel is currently closed for maintenance and is the third-largest in the Black Sea country.  The draft decree may be approved as early

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Lotte and Hyundai to Merge Some Petrochem Units

Lotte Chemical and HD Hyundai Chemical agreed to combine part of their naphtha-cracking facilities as South Korea’s top petrochemicals producers respond to a prolonged oversupply and weakening margins. Lotte Chemical will split its facility at the Daesan petrochemical complex in South Chungcheong Province and fold it into HD Hyundai Chemical’s operations, according to separate statements from Lotte. The two companies had separately operated 1.1-million-ton-a-year and 850,000-ton-a-year units at the same site before Wednesday’s announcement. HD Hyundai Co., the parent company of HD Hyundai Oilbank Co. also confirmed the consolidation plan through a regulatory filing. HD Hyundai Oilbank currently owns 60% of HD Hyundai Chemical while Lotte Chemical owns the rest. South Korean plants are designed to turn naphtha — a crude oil derived product — into petrochemicals that can go into making everything from plastic bags to pipes and even paint solvents. These units are struggling to compete with big and fully integrated Chinese complexes, many of which have sprung up in the last decade. The South Korean government has been pressing for industry reform, which resulted in 10 major chemical firms pledging to curb capacity and a year-end deadline set for consolidation. The Lotte-Hyundai combination is the first restructuring under the government plan. For Korea’s chemicals industry, the Lotte–HD Hyundai deal marks a shift from incremental cost cuts to structural consolidation. For global competitors, particularly Chinese or Middle Eastern producers, it signals that South Korea is no longer sticking with the standalone, fragmented and cost-disadvantaged model. Petrochemical is one of South Korea’s major export sectors and weakening financials of a major operator became a flashpoint for the struggling industry this year. Yeochun NCC Co., one of Korea’s largest ethylene producers, faced a near default until it secured emergency financing from major shareholders.  That partly prompted the government to summon major players

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Trump Issues EO to Launch DOE Led Genesis Mission

The U.S. Department of Energy (DOE) announced, in a statement posted on its site on Monday, that U.S. President Donald Trump has issued an executive order to launch the Genesis Mission. In the statement, the DOE dubbed the Genesis Mission as “a historic national effort led by the Department of Energy” and highlighted that it “will focus on addressing three key challenges of national importance”. The DOE pointed out that these comprise “American energy dominance”, “advancing discovery science”, and “ensuring national security”.     Under a subcategory for “American energy dominance” in the statement, the DOE said the Genesis Mission “will accelerate advanced nuclear, fusion, and grid modernization using AI to provide affordable, reliable, and secure energy for Americans”. Another subcategory for “advancing discovery science” in the statement noted that, “through DOE’s investment and collaboration with industry, America is building the quantum ecosystem that will power discoveries-and industries-for decades to come”. A subcategory for “ensuring national security” in the DOE statement said the DOE “will create advanced AI technologies for national security missions, deploy systems to ensure the safety and reliability of the U.S. nuclear stockpile, and accelerate the development of defense-ready materials”.  The DOE noted in the statement that the Genesis Mission “will transform American science and innovation through the power of artificial intelligence (AI), strengthening the nation’s technological leadership and global competitiveness”. “The ambitious mission will harness the current AI and advanced computing revolution to double the productivity and impact of American science and engineering within a decade,” the DOE added. “It will deliver decisive breakthroughs to secure American energy dominance, accelerate scientific discovery, and strengthen national security,” it continued. U.S. Energy Secretary Chris Wright has designated Under Secretary for Science Darío Gil to lead the mission, the statement revealed, adding that Genesis “will mobilize the Department of Energy’s 17 National

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USA Data Center Electricity Demand Projected to Triple

U.S. data center electricity consumption is projected to more than triple from 2021, the last full year without ChatGPT, to 2030, according to data sent to Rigzone by the International Energy Agency (IEA) recently. The IEA, which described U.S. data center electricity demand figures as the closest proxy available for the energy consumption of artificial intelligence (AI), modelled that U.S. data center electricity demand came in at 120.65 Terawatt hours (TWh) in 2021, IEA data sent to Rigzone showed. In other data sent to Rigzone, which is available in the IEA’s Energy and AI report released earlier this year, the IEA forecasts that this consumption will rise to well over 400 TWh in 2030, in its base case. In data sent to Rigzone, the IEA modelled that U.S. data center electricity consumption stood at 108.41 TWh in 2020, 134.07 TWh in 2022, 154.07 TWh in 2023, and 182.61 TWh in 2024. The IEA projected in its AI report that this demand will rise to well over 200 TWh in 2025, more than 250 TWh in 2026, over 300 TWh in 2027, around 350 TWh in 2028, and a little bit under 400 TWh in 2029. A chart included in the IEA report showing electricity generation for data centers by fuel in the U.S., in the IEA’s base case, from 2020 to 2035, outlined that natural gas has had, and will continue to have, the biggest slice of the pie. According to this chart, natural gas generated around 50 TWh of electricity for data centers in the U.S. in 2020. This figure rose slightly in 2021 and 2022, and came in a little under 100 TWh in 2024, the chart showed. The IEA chart projects that this figure will come in slightly over 100 TWh this year, go well over 100

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Microsoft loses two senior AI infrastructure leaders as data center pressures mount

Microsoft did not immediately respond to a request for comment. Microsoft’s constraints Analysts say the twin departures mark a significant setback for Microsoft at a critical moment in the AI data center race, with pressure mounting from both OpenAI’s model demands and Google’s infrastructure scale. “Losing some of the best professionals working on this challenge could set Microsoft back,” said Neil Shah, partner and co-founder at Counterpoint Research. “Solving the energy wall is not trivial, and there may have been friction or strategic differences that contributed to their decision to move on, especially if they saw an opportunity to make a broader impact and do so more lucratively at a company like Nvidia.” Even so, Microsoft has the depth and ecosystem strength to continue doubling down on AI data centers, said Prabhu Ram, VP for industry research at Cybermedia Research. According to Sanchit Gogia, chief analyst at Greyhound Research, the departures come at a sensitive moment because Microsoft is trying to expand its AI infrastructure faster than physical constraints allow. “The executives who have left were central to GPU cluster design, data center engineering, energy procurement, and the experimental power and cooling approaches Microsoft has been pursuing to support dense AI workloads,” Gogia said. “Their exit coincides with pressures the company has already acknowledged publicly. GPUs are arriving faster than the company can energize the facilities that will house them, and power availability has overtaken chip availability as the real bottleneck.”

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What is Edge AI? When the cloud isn’t close enough

Many edge devices can periodically send summarized or selected inference output data back to a central system for model retraining or refinement. That feedback loop helps the model improve over time while still keeping most decisions local. And to run efficiently on constrained edge hardware, the AI model is often pre-processed by techniques such as quantization (which reduces precision), pruning (which removes redundant parameters), or knowledge distillation (which trains a smaller model to mimic a larger one). These optimizations reduce the model’s memory, compute, and power demands so it can run more easily on an edge device. What technologies make edge AI possible? The concept of the “edge” always assumes that edge devices are less computationally powerful than data centers and cloud platforms. While that remains true, overall improvements in computational hardware have made today’s edge devices much more capable than those designed just a few years ago. In fact, a whole host of technological developments have come together to make edge AI a reality. Specialized hardware acceleration. Edge devices now ship with dedicated AI-accelerators (NPUs, TPUs, GPU cores) and system-on-chip units tailored for on-device inference. For example, companies like Arm have integrated AI-acceleration libraries into standard frameworks so models can run efficiently on Arm-based CPUs. Connectivity and data architecture. Edge AI often depends on durable, low-latency links (e.g., 5G, WiFi 6, LPWAN) and architectures that move compute closer to data. Merging edge nodes, gateways, and local servers means less reliance on distant clouds. And technologies like Kubernetes can provide a consistent management plane from the data center to remote locations. Deployment, orchestration, and model lifecycle tooling. Edge AI deployments must support model-update delivery, device and fleet monitoring, versioning, rollback and secure inference — especially when orchestrated across hundreds or thousands of locations. VMware, for instance, is offering traffic management

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Networks, AI, and metaversing

Our first, conservative, view says that AI’s network impact is largely confined to the data center, to connect clusters of GPU servers and the data they use as they crunch large language models. It’s all “horizontal” traffic; one TikTok challenge would generate way more traffic in the wide area. WAN costs won’t rise for you as an enterprise, and if you’re a carrier you won’t be carrying much new, so you don’t have much service revenue upside. If you don’t host AI on premises, you can pretty much dismiss its impact on your network. Contrast that with the radical metaverse view, our third view. Metaverses and AR/VR transform AI missions, and network services, from transaction processing to event processing, because the real world is a bunch of events pushing on you. They also let you visualize the way that process control models (digital twins) relate to the real world, which is critical if the processes you’re modeling involve human workers who rely on their visual sense. Could it be that the reason Meta is willing to spend on AI, is that the most credible application of AI, and the most impactful for networks, is the metaverse concept? In any event, this model of AI, by driving the users’ experiences and activities directly, demands significant edge connectivity, so you could expect it to have a major impact on network requirements. In fact, just dipping your toes into a metaverse could require a major up-front network upgrade. Networks carry traffic. Traffic is messages. More messages, more traffic, more infrastructure, more service revenue…you get the picture. Door number one, to the AI giant future, leads to nothing much in terms of messages. Door number three, metaverses and AR/VR, leads to a message, traffic, and network revolution. I’ll bet that most enterprises would doubt

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Microsoft’s Fairwater Atlanta and the Rise of the Distributed AI Supercomputer

Microsoft’s second Fairwater data center in Atlanta isn’t just “another big GPU shed.” It represents the other half of a deliberate architectural experiment: proving that two massive AI campuses, separated by roughly 700 miles, can operate as one coherent, distributed supercomputer. The Atlanta installation is the latest expression of Microsoft’s AI-first data center design: purpose-built for training and serving frontier models rather than supporting mixed cloud workloads. It links directly to the original Fairwater campus in Wisconsin, as well as to earlier generations of Azure AI supercomputers, through a dedicated AI WAN backbone that Microsoft describes as the foundation of a “planet-scale AI superfactory.” Inside a Fairwater Site: Preparing for Multi-Site Distribution Efficient multi-site training only works if each individual site behaves as a clean, well-structured unit. Microsoft’s intra-site design is deliberately simplified so that cross-site coordination has a predictable abstraction boundary—essential for treating multiple campuses as one distributed AI system. Each Fairwater installation presents itself as a single, flat, high-regularity cluster: Up to 72 NVIDIA Blackwell GPUs per rack, using GB200 NVL72 rack-scale systems. NVLink provides the ultra-low-latency, high-bandwidth scale-up fabric within the rack, while the Spectrum-X Ethernet stack handles scale-out. Each rack delivers roughly 1.8 TB/s of GPU-to-GPU bandwidth and exposes a multi-terabyte pooled memory space addressable via NVLink—critical for large-model sharding, activation checkpointing, and parallelism strategies. Racks feed into a two-tier Ethernet scale-out network offering 800 Gbps GPU-to-GPU connectivity with very low hop counts, engineered to scale to hundreds of thousands of GPUs without encountering the classic port-count and topology constraints of traditional Clos fabrics. Microsoft confirms that the fabric relies heavily on: SONiC-based switching and a broad commodity Ethernet ecosystem to avoid vendor lock-in and accelerate architectural iteration. Custom network optimizations, such as packet trimming, packet spray, high-frequency telemetry, and advanced congestion-control mechanisms, to prevent collective

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Land & Expand: Hyperscale, AI Factory, Megascale

Land & Expand is Data Center Frontier’s periodic roundup of notable North American data center development activity, tracking the newest sites, land plays, retrofits, and hyperscale campus expansions shaping the industry’s build cycle. October delivered a steady cadence of announcements, with several megascale projects advancing from concept to commitment. The month was defined by continued momentum in OpenAI and Oracle’s Stargate initiative (now spanning multiple U.S. regions) as well as major new investments from Google, Meta, DataBank, and emerging AI cloud players accelerating high-density reuse strategies. The result is a clearer picture of how the next wave of AI-first infrastructure is taking shape across the country. Google Begins $4B West Memphis Hyperscale Buildout Google formally broke ground on its $4 billion hyperscale campus in West Memphis, Arkansas, marking the company’s first data center in the state and the anchor for a new Mid-South operational hub. The project spans just over 1,000 acres, with initial site preparation and utility coordination already underway. Google and Entergy Arkansas confirmed a 600 MW solar generation partnership, structured to add dedicated renewable supply to the regional grid. As part of the launch, Google announced a $25 million Energy Impact Fund for local community affordability programs and energy-resilience improvements—an unusually early community-benefit commitment for a first-phase hyperscale project. Cooling specifics have not yet been made public. Water sourcing—whether reclaimed, potable, or hybrid seasonal mode—remains under review, as the company finalizes environmental permits. Public filings reference a large-scale onsite water treatment facility, similar to Google’s deployments in The Dalles and Council Bluffs. Local governance documents show that prior to the October announcement, West Memphis approved a 30-year PILOT via Groot LLC (Google’s land assembly entity), with early filings referencing a typical placeholder of ~50 direct jobs. At launch, officials emphasized hundreds of full-time operations roles and thousands

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The New Digital Infrastructure Geography: Green Street’s David Guarino on AI Demand, Power Scarcity, and the Next Phase of Data Center Growth

As the global data center industry races through its most frenetic build cycle in history, one question continues to define the market’s mood: is this the peak of an AI-fueled supercycle, or the beginning of a structurally different era for digital infrastructure? For Green Street Managing Director and Head of Global Data Center and Tower Research David Guarino, the answer—based firmly on observable fundamentals—is increasingly clear. Demand remains blisteringly strong. Capital appetite is deepening. And the very definition of a “data center market” is shifting beneath the industry’s feet. In a wide-ranging discussion with Data Center Frontier, Guarino outlined why data centers continue to stand out in the commercial real estate landscape, how AI is reshaping underwriting and development models, why behind-the-meter power is quietly reorganizing the U.S. map, and what Green Street sees ahead for rents, REITs, and the next wave of hyperscale expansion. A ‘Safe’ Asset in an Uncertain CRE Landscape Among institutional investors, the post-COVID era was the moment data centers stepped decisively out of “niche” territory. Guarino notes that pandemic-era reliance on digital services crystallized a structural recognition: data centers deliver stable, predictable cash flows, anchored by the highest-credit tenants in global real estate. Hyperscalers today dominate new leasing and routinely sign 15-year (or longer) contracts, a duration largely unmatched across CRE categories. When compared with one-year apartment leases, five-year office leases, or mall anchor terms, the stability story becomes plain. “These are AAA-caliber companies signing the longest leases in the sector’s history,” Guarino said. “From a real estate point of view, that combination of tenant quality and lease duration continues to position the asset class as uniquely durable.” And development returns remain exceptional. Even without assuming endless AI growth, the math works: strong demand, rising rents, and high-credit tenants create unusually predictable performance relative to

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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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