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Record US Gulf Oil Output to Soften 2026 Production Decline

US oil production will likely decline next year, but the scale of the dropoff will be substantially reduced by an old source of new supplies: the Gulf of Mexico.  Producers in the body of water – which President Donald Trump renamed the Gulf of America – will bring on 300,000 barrels of new daily output this year […]

US oil production will likely decline next year, but the scale of the dropoff will be substantially reduced by an old source of new supplies: the Gulf of Mexico. 

Producers in the body of water – which President Donald Trump renamed the Gulf of America – will bring on 300,000 barrels of new daily output this year and a further 250,000 barrels in 2026 due to projects many years in the making, according to forecaster Wood Mackenzie Ltd. These will increase production in the region to more than 2 million barrels a day, about 40 percent higher than in 2020.

The growth comes against a backdrop of slowing US shale production due to weaker oil prices, as onshore producers cut rigs and costs to counter rising supplies from OPEC and its allies. Overall US production will decline 0.4 percent to 13.37 million barrels a day next year, the first drop since 2021, according to the Energy Information Administration’s Short-Term Energy Outlook released Tuesday.

The Gulf’s rising importance represents a turnaround from the past two decades, when the region – tarnished by the Deepwater Horizon oil spill, spiraling costs and pandemic shutdowns – took a backseat to the shale boom that has made the US the world’s largest oil producer. But now tumbling crude prices are hurting shale drillers while major, longer-term Gulf projects are starting to come online. 

“Most people are focused on onshore, when the real growth this year will come from offshore,” Miles Sasser, a senior research analyst at Wood Mackenzie, said in an interview. “The projects in the Gulf of America are ramping up nicely, and that should come as a surprise to many.”

Trump has promised to unleash US oil and gas production, and his administration is reworking policies to help boost flows, including from the Gulf. He has also created a National Energy Dominance Council to help expand production. But his global trade war and the OPEC+ supply increases that he has encouraged have hammered crude prices, spurring the pullback by shale drillers. 

Chevron Corp. will grow Gulf production 50 percent from last year, to 300,000 barrels a day by 2026. Shell Plc has Sparta, a 90,000 barrel-a-day project coming online in 2028, while BP Plc has a series of projects through the end of the decade that will increase production capacity by about 20% to more than 400,000 barrels a day. These are all coming at a time when frackers are warning US shale production may have peaked.  

Production growth in the Gulf has only outperformed shale in three of the past 10 years, and each of those instances came amid low oil prices and slowing demand, said Jesse Jones, a senior upstream analyst at Energy Aspects.

“Shale producers react more quickly to weaker prices,” he said.

Chevron’s most-recent developments break even at crude prices below $20 a barrel, making them among the lowest cost anywhere in the world, according to Bruce Niemeyer, the company’s president of production in the Americas. Brent crude settled at just above $67 a barrel Monday, down 10 percent since April 1. 

“If you can drive breakevens down, you make your investments more resilient, you make the company more resilient,” Niemeyer said in an interview. “That’s the ultimate scorecard.”

The secret to the Gulf’s rebound is a fundamental change in the offshore business model.

When oil consistently traded at $100 a barrel between 2008 and 2015, producers designed large, complex and expensive production vessels. They’ve since focused on smaller, simpler structures. BP reduced the cost of its Mad Dog 2 project by more than half, to $9 billion, by the time it came online in 2023. Shell cut the expense of its Vito platform 70 percent from its initial design. Both companies say they their new approach is to “design one, build many.” 

“Deepwater is no longer high-cost by default,” Colette Hirstius, Shell’s executive vice president for Gulf of America, said in response to questions. “It’s proving to be highly efficient, capital-lean and resilient” through the oil-price cycle. 

Chevron is working to fill up old production platforms rather than building new ones, Niemeyer said. Ballymore began producing its 75,000 barrels a day in April, but doesn’t have a dedicated platform. Instead, the field is connected to its Blind Faith platform, which was built in 2008, through three miles of subsea pipelines, or “tiebacks.” About 80 percent of Chevron’s exploration leasehold is in tieback range of existing facilities. 

“We begin with the end in mind,” Niemeyer said. “That sets us up to be very disciplined in the design choices and execution, and that ultimately turns into falling breakeven” costs.  

Like all established oil fields, the Gulf faces limits. There haven’t been any big new discoveries since 2017, when Shell struck oil in the Whale field, Wood Mackenzie’s Sasser said. The region “lacks high-impact projects that will sustain growth in the years to come,” he said.  

But Big Oil is demonstrating that technology can help overcome these obstacles. 

Chevron made the Anchor discovery in the Paleogene geologic strata in 2015, but its 440 million barrels were located six miles under the seabed at ultra-high pressure and temperatures. After years of working with industry suppliers to safely access the oil, Chevron began producing Anchor’s oil in August at pressures of up to 20,000 pounds per square inch, among the highest in the world and equivalent to an elephant standing on a quarter. 

BP has discovered about 10 billion barrels of resources in the Paleogene and will begin producing from it through its Kaskida project in 2029. 

The Gulf is “a key strategic region for BP” due to its high volumes and low costs, Andy Krieger, senior vice president for the Gulf of America and Canada, said in response to questions. 

“That’s a big reason why we’ve made significant investments in this region for many years,” he said, “and why we fully intend to keep investing there, in a disciplined way, for many more.”

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Trump Overturns California Phaseout of Fossil Fuel Cars

President Donald Trump on Thursday signed into law congressional resolutions that overturn three California regulations for cleaner transport, including one that would phase out the sale of new fossil fuel vehicles by 2035. Last February the Environmental Protection Agency (EPA) said it was letting Congress review waivers it had issued

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Why people love Linux

The people who love Linux love it for a wide variety of reasons. Some of them appreciate having access to source code and the ability (if they’re so inclined) to modify it. Most love that the majority of Linux distributions are completely free. Some understand and appreciate that Linux is

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AMD steps up AI competition with Instinct MI350 chips, rack-scale platform

Other announcements included ROCm 7, the latest version of AMD’s open-source AI software stack, and the broad availability of its Developer Cloud, a fully managed platform aimed at accelerating high-performance AI development. Openness and Nvidia challenge AMD underscored its commitment to open standards and ecosystem collaboration, positioning itself in contrast

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Oil Spikes as Israel’s Attacks on Iran Stoke Fears of Wider War

Oil surged the most in more than three years after Israel carried out airstrikes against Iran, raising fears of a wider war in a region that accounts for a third of global crude production. West Texas Intermediate crude futures advanced more than 7% to settle near $73 a barrel, the biggest one-day jump since March 2022. The price of European natural gas — also a major Middle Eastern export — rallied, and haven demand pushed gold closer to a record. US President Donald Trump urged Tehran to make a deal “before it is too late,” in a post on Truth Social. The next attacks already being planned will be “even more brutal,” he said. The attack marks the most dramatic escalation yet in a conflict that has loomed in the background of the oil market for about 20 months, but had yet to result in a significant loss of barrels. A broader regional clash in the Middle East threatens a major rerouting of global oil flows by restricting supplies through the Strait of Hormuz in addition to the possible reduction of Iranian exports, with JPMorgan Chase & Co. pegging the potential impact at more than 2.1 million barrels a day.  Israel launched another round of attacks on several locations in Iran, including the Natanz nuclear site and Tabriz. Israeli Prime Minister Benjamin Netanyahu earlier said strikes targeted Iran’s nuclear and ballistic missile programs and that the operation would continue until the threat was removed.  Hours after the first Israeli strikes, Tehran launched more than 100 drones, Israel Defence Forces said. Israel expects Iran to respond with missiles and further drone attacks, according to a military official. The Qatari Ministry of Foreign Affairs said in a post on X that it will work with regional and international partners to urgently stop the aggression on Iran, taking

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Trump Urges Iran to Agree Nuclear Deal to Avoid More Attacks

US President Donald Trump urged Iran to accept a nuclear deal to avoid further attacks, hours after Israel bombed the Islamic Republic’s atomic facilities and killed some of its top commanders. “There is still time to make this slaughter, with the next already planned attacks being even more brutal, come to an end,” Trump said on Truth Social. Tehran must make a deal “before it is too late,” he said. Israel said it struck around 100 targets across Iranian cities on Friday morning, using 200 planes. The attacks, which Israel has said will likely continue over the coming days, caused oil to surge as much as 13 percent, though it later pared its gains, and investors to buy havens such as gold and US Treasuries. Iran quickly responded by sending a wave of drones toward Israel, though it was unclear if they caused any damage. Some were intercepted over Jordan. Still, Israel expects Iran to retaliate with more drone strikes and also by firing ballistic missiles, according to a military official speaking on condition of anonymity. Explosions were heard across Tehran, Natanz – home to a key atomic site – and other cities, according to local and social media. Israeli Prime Minister Benjamin Netanyahu said Israel “struck at the heart of Iran’s nuclear-enrichment program.”  The head of the Islamic Revolutionary Guard Corps, Hossein Salami, and the military’s chief of staff, Mohammad Bagheri, were both killed, according to Iranian media. At least two other senior IRGC members also died. The United Nations’ atomic watchdog said there were no indications of increased radiation levels at Iran’s main uranium-enrichment site of Natanz, an early sign the strikes haven’t penetrated the layers of steel and concrete protecting the Islamic Republic’s nuclear stockpile. Still, Netanyahu said the strikes “will continue for as many days as it takes

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Qualitas Leads Bidding for $8 Billion Clean Energy Firm Cubico

Spain’s largest renewable fund Qualitas Energy is the frontrunner to acquire clean-energy company Cubico Sustainable Investments, according to people with knowledge of the matter. Qualitas has emerged as the leading bidder for the business after interest from KKR & Co.’s ContourGlobal, the other remaining suitor, has cooled, the people said, asking not to be identified as the information is private. London-based Cubico is owned by Ontario Teachers’ Pension Plan and PSP Investments. The Canadian pension funds have been working with Bank of America Corp. on the potential deal, seeking a valuation of about EUR 7 billion ($7.9 billion), Bloomberg News reported last year. A sale of Cubico could rank as one of the largest renewable energy deals this year globally and comes at a time the US administration’s refocus on boosting oil and gas supplies has reduced investor appetite for such assets. Qualitas may consider bringing in partners to help fund the acquisition or seek to divest some of Cubico’s assets shortly after a deal is completed, one of the people said. There’s no certainty the deliberations will lead to a transaction, and ContourGlobal’s interest could still be rekindled, the people said.  Representatives for Qualitas, KKR, OTPP and PSP declined to comment. Cubico was launched in 2015 by its current owners alongside Spain’s largest lender, Banco Santander SA, which sold its stake a year later. The company’s portfolio includes onshore wind and solar assets as well as battery energy storage systems and transmission lines, according to its website. It has a total installed capacity of 2.8 gigawatts, as well as 450 megawatts under construction and a development pipeline of more than 17 gigawatts. The firm has more than 500 employees globally. Qualitas chiefly invests in energy transition and sustainability-related assets. It has raised EUR 4.6 billion since its inception in 2006,

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Batteries are making the grid more reliable: NERC

Dive Brief: There were 30 weather-related events in the United States and Canada that caused more than $1 billion in damages last year, but “none resulted in operator-initiated load shed, unlike previous events of a similar scale,” the North American Electric Reliability Corp. said Thursday in its annual State of Reliability report. On whole, the bulk power system “remained reliable but challenged by adverse weather conditions and transitions in resource mix and usage,” according to the report. “Today’s transmission system is demonstrably more reliable and resilient with the severity and duration of outages declining,” the reliability watchdog said. The North American grid is challenged by the proliferation of large loads, such as data centers, and the operating profile of inverter-based resources, NERC said. But “reliability improvements were observed in areas with high concentrations of battery energy storage systems,” also known as BESS. Dive Insight: The size and speed with which data centers are expanding across the country presents “a significant near-term reliability challenge,” NERC said. Though there is uncertainty surrounding how much data center capacity will be built, and how quickly, experts agree they are driving up electricity demand. Data centers could account for 44% of U.S. electricity load growth from 2023 to 2028, Bain & Company said in an October analysis. These large loads can be developed faster than the generation and transmission infrastructure needed to support them, “resulting in lower system stability,” NERC said in its report. “Additionally, the voltage sensitivity and rapidly changing, often unpredictable, power usage of these facilities creates new operating challenges.” NERC said more accurate models of the operational characteristics of data centers “are essential to reliability to prevent instability caused by these large changes in electricity demand.” There was also more than 45 GW of new inverter-based capacity added to the bulk power system in

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LCOE has ‘significant limitations’ and is overused, says CATF

The popular levelized cost of electricity metric doesn’t consider several key variables that are important for long-term system planning and deep decarbonization, according to a Tuesday report from the Clean Air Task Force. LCOE is widely used by regulators and developers, but system planning “should rely on more in-depth analyses,” the task force said. The LCOE “is an economic assessment of the cost of the energy-generating system including all the costs over its lifetime: initial investment, operations and maintenance, cost of fuel, cost of capital,” according to the National Renewable Energy Laboratory. “[The] LCOE is the minimum price at which energy must be sold for an energy project to break even.” Examining the LCOE does not consider a power system’s needs, CATF said, nor a technology’s generation profile or generation characteristics such as dispatchability and inertia. “While the cost of projects is relatively straightforward to estimate, the value of projects requires a system assessment of needs, which often requires complex modeling analysis,” the report said. LCOE “often does not account for the full electricity system cost necessary to deploy a generator at a large scale, such as the transmission and distribution infrastructure necessary to deliver power to consumers,” the report argued. Clean firm technologies like nuclear fission and fusion, geothermal, combustion with carbon capture and storage, and zero-carbon fuel combustion “have been shown to significantly reduce the cost of decarbonization despite having a higher LCOE than wind and solar due to their offsetting impacts on reducing infrastructure and costs,” the report said. CATF noted that others have recognized LCOE’s limitations and devised more comprehensive measures, like the International Energy Agency’s Value-Adjusted LCOE, or VALCOE. LCOE is a “good metric to track historical technology cost evolution,” the report said, but “jurisdiction-specific system-level analysis” would better serve “decarbonization policy, industry strategy, and

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Meeting the challenge of FERC Order 881: Why open source matters for AAR implementation

Tory McKeag is principal software architect at GE Vernova and lead maintainer of LF Energy TROLIE. Federal Energy Regulatory Commission Order 881 introduces a markedly new approach to managing transmission system capacity in the United States. By requiring the use of ambient-adjusted ratings, known as AARs, for transmission lines, the order enables operators to more accurately reflect real-time and forecasted weather conditions when determining power flow limits. This can unlock significantly more capacity on the existing grid, without the need for costly and time-consuming new transmission construction. And the anticipated benefits are substantial. Improved accuracy in line ratings should help ease interconnection backlogs, increase grid reliability during periods of extreme heat and improve safety by addressing cases where traditional seasonal ratings may be too optimistic. Additionally, dynamic ratings can serve as a valuable bridge while awaiting long-term infrastructure upgrades. Order 881 also impacts wholesale electricity markets by requiring AARs to be incorporated into both day-ahead and real-time energy and ancillary service market models. These ratings must be archived and made transparent to all stakeholders, including market monitors, energy traders and regulators. This level of transparency is unprecedented and supports more efficient market outcomes; however, it also introduces a new level of technical and operational complexity. AAR compliance: A shared burden Unlike many FERC orders that place primary implementation responsibility on independent system operators and regional transmission organizations, Order 881 imposes significant obligations on both ISOs and transmission owners, or TOs. While ISOs must aggregate AAR data, integrate it into market and reliability systems and ensure transparency, TOs are now responsible for computing these ratings in the first place and transmitting them to the ISOs. For many utilities operating bulk electric system facilities, this means adopting new AAR forecasting capabilities, implementing rating calculation software and integrating that output into ISO processes —

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Oracle’s struggle with capacity meant they made the difficult but responsible decisions

IDC President Crawford Del Prete agreed, and said that Oracle senior management made the right move, despite how difficult the situation is today. “Oracle is being incredibly responsible here. They don’t want to have a lot of idle capacity. That capacity does have a shelf life,” Del Prete said. CEO Katz “is trying to be extremely precise about how much capacity she puts on.” Del Prete said that, for the moment, Oracle’s capacity situation is unique to the company, and has not been a factor with key rivals AWS, Microsoft, and Google. During the investor call, Katz said that her team “made engineering decisions that were much different from the other hyperscalers and that were better suited to the needs of enterprise customers, resulting in lower costs to them and giving them deployment flexibility.” Oracle management certainly anticipated a flurry of orders, but Katz said that she chose to not pay for expanded capacity until she saw finalized “contracted noncancelable bookings.” She pointed to a huge capex line of $9.1 billion and said, “the vast majority of our capex investments are for revenue generating equipment that is going into data centers and not for land or buildings.”

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Winners and losers in the Top500 supercomputer ranking

GPU winner: AMD AMD is finally making a showing for itself, albeit modestly, in GPU accelerators. For the June 2025 edition of the list, AMD Instinct accelerators are in 23 systems, a nice little jump from the 10 systems on the June 2024 list. Of course, it helps with the sales pitch when AMD processors and coprocessors can be found powering the No. 1 and No. 2 supercomputers in the world. GPU loser: Intel Intel’s GPU efforts have been a disaster. It failed to make a dent in the consumer space with its Arc GPUs, and it isn’t making much headway in the data center, either. There were only four systems running GPU Max processors on the list, and that’s up from three a year ago. Still, it’s pitiful showing given the effort Intel made. Server winners: HPE, Dell, EVIDAN, Nvidia The four server vendors — servers, not component makers — all saw share increases. Nvidia is also a server vendor, selling its SuperPOD AI servers directly to customers. They all gained at the expense of Lenovo and Arm. Server loser: Lenovo It saw the sharpest drop in server share, going from 163 systems in June of 2024 to 136 in this most recent listing. Loser: Arm Other than the 13 Nvidia Grace chips, the ARM architecture was completely absent from this spring’s list.

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Micron joins HBM4 race with 36GB 12-high stack, eyes AI and data center dominance

Race to power the next generation of AI By shipping samples of the HMB4 to the key customers, Micron has joined SK hynix in the HBM4 race. In March this year, SK hynix shipped the 12-Layer HBM4 samples to customers. SK hynix’s HBM4 has implemented bandwidth capable of processing more than 2TB of data per second, processing data equivalent to more than 400 full-HD movies (5GB each) in a second, said the company. “HBM competitive landscape, SK hynix has already sampled and secured approval of HBM4 12-high stack memory early Q1’2025 to NVIDIA for its next generation Rubin product line and plans to mass produce HBM4 in 2H 2025,” said Danish Faruqui, CEO, Fab Economics. “Closely following, Micron is pending Nvidia’s tests for its latest HBM4 samples, and Micron plans to mass produce HBM4 in 1H 2026. On the other hand, the last contender, Samsung is struggling with Yield Ramp on HBM4 Technology Development stage, and so has to delay the customer samples milestones to Nvidia and other players while it earlier shared an end of 2025 milestone for mass producing HBM4.” Faruqui noted another key differentiator among SK hynix, Micron, and Samsung: the base die that anchors the 12-high DRAM stack. For the first time, both SK hynix and Samsung have introduced a logic-enabled base die on 3nm and 4nm process technology to enable HBM4 product for efficient and faster product performance via base logic-driven memory management. Both Samsung and SK hynix rely on TSMC for the production of their logic-enabled base die. However, it remains unclear whether Micron is using a logic base die, as the company lacks in-house capability to fabricate at 3nm.

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Cisco reinvigorates data center, campus, branch networking with AI demands in mind

“We have a number of … enterprise data center customers that have been using bi-directional optics for many generations, and this is the next generation of that feature,” said Bill Gartner, senior vice president and general manager of Cisco’s optical systems and optics business. “The 400G lets customer use their existing fiber infrastructure and reduces fiber count for them so they can use one fiber instead of two, for example,” Gartner said. “What’s really changed in the last year or so is that with AI buildouts, there’s much, much more optics that are part of 400G and 800G, too. For AI infrastructure, the 400G and 800G optics are really the dominant optics going forward,” Gartner said. New AI Pods Taking aim at next-generation interconnected compute infrastructures, Cisco expanded its AI Pod offering with the Nvidia RTX 6000 Pro and Cisco UCS C845A M8 server package. Cisco AI Pods are preconfigured, validated, and optimized infrastructure packages that customers can plug into their data center or edge environments as needed. The Pods include Nvidia AI Enterprise, which features pretrained models and development tools for production-ready AI, and are managed through Cisco Intersight. The Pods are based on Cisco Validated Design principals, which offer customers pre-tested and validated network designs that provide a blueprint for building reliable, scalable, and secure network infrastructures, according to Cisco. Building out the kind of full-scale AI infrastructure compute systems that hyperscalers and enterprises will utilize is a huge opportunity for Cisco, said Daniel Newman, CEO of The Futurum Group. “These are full-scale, full-stack systems that could land in a variety of enterprise and enterprise service application scenarios, which will be a big story for Cisco,” Newman said. Campus networking For the campus, Cisco has added two new programable SiliconOne-based Smart Switches: the C9350 Fixed Access Smart Switches and C9610

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Qualcomm’s $2.4B Alphawave deal signals bold data center ambitions

Qualcomm says its Oryon CPU and Hexagon NPU processors are “well positioned” to meet growing demand for high-performance, low-power compute as AI inferencing accelerates and more enterprises move to custom CPUs housed in data centers. “Qualcomm’s advanced custom processors are a natural fit for data center workloads,” Qualcomm president and CEO Cristiano Amon said in the press release. Alphawave’s connectivity and compute technologies can work well with the company’s CPU and NPU cores, he noted. The deal is expected to close in the first quarter of 2026. Complementing the ‘great CPU architecture’ Qualcomm has been amassing Client CPUs have been a “big play” for Qualcomm, Moor’s Kimball noted; the company acquired chip design company Nuvia in 2021 for $1.4 billion and has also announced that it will be designing data center CPUs with Saudi AI company Humain. “But there was a lot of data center IP that was equally valuable,” he said. This acquisition of Alphawave will help Qualcomm complement the “great CPU architecture” it acquired from Nuvia with the latest in connectivity tools that link a compute complex with other devices, as well as with chip-to-chip communications, and all of the “very low level architectural goodness” that allows compute cores to deliver “absolute best performance.” “When trying to move data from, say, high bandwidth memory to the CPU, Alphawave provides the IP that helps chip companies like Qualcomm,” Kimball explained. “So you can see why this is such a good complement.”

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LiquidStack launches cooling system for high density, high-powered data centers

The CDU is serviceable from the front of the unit, with no rear or end access required, allowing the system to be placed against the wall. The skid-mounted system can come with rail and overhead piping pre-installed or shipped as separate cabinets for on-site assembly. The single-phase system has high-efficiency dual pumps designed to protect critical components from leaks and a centralized design with separate pump and control modules reduce both the number of components and complexity. “AI will keep pushing thermal output to new extremes, and data centers need cooling systems that can be easily deployed, managed, and scaled to match heat rejection demands as they rise,” said Joe Capes, CEO of LiquidStack in a statement. “With up to 10MW of cooling capacity at N, N+1, or N+2, the GigaModular is a platform like no other—we designed it to be the only CDU our customers will ever need. It future-proofs design selections for direct-to-chip liquid cooling without traditional limits or boundaries.”

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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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