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Chevron, Engine No1 Announce Power Solution Partnership for US Data Centers

In a recent joint release, Chevron U.S.A Inc. and Engine No. 1 announced “the formation of a partnership to build a new company to develop scalable, reliable power solutions for U.S. based data centers running on U.S. natural gas”. The release highlighted that the joint development is “in conjunction with GE Vernova” and “aims to […]

In a recent joint release, Chevron U.S.A Inc. and Engine No. 1 announced “the formation of a partnership to build a new company to develop scalable, reliable power solutions for U.S. based data centers running on U.S. natural gas”.

The release highlighted that the joint development is “in conjunction with GE Vernova” and “aims to establish the first multi gigawatt-scale co-located power plant and data center during President Trump’s second term”.

The first projects are expected to leverage seven U.S. made GE Vernova 7HA natural gas turbines, secured under a slot reservation agreement, on an accelerated timeline, the release noted. The projects are expected to serve co-located data centers in the U.S. Southeast, Midwest, and West regions, the release added, stating that power generation is not designed to flow initially through the existing transmission grid, “reducing the risk of increasing electricity prices for consumers”.

According to the release, the joint development plans to deliver up to four gigawatts, “the equivalent of powering 3-3.5 million U.S. homes, with initial in-service targeted by the end of 2027 and potential for project expansion beyond this capacity”. The release noted that the projects are expected to be designed with the flexibility to integrate lower carbon solutions.

The release said the companies’ plans directly address the need for affordable, reliable energy to meet the significant demand for electricity to power U.S. data centers, enabling current and future generations of AI to be developed in the United States.

The joint release also stated that the joint development is expected to create thousands of jobs and help the reindustrialization of the United States.

Rigzone has asked Chevron, Engine No. 1, and GE Vernova what kind of jobs these are likely to be and roughly when recruitment will take place. At the time of writing, none of the companies have responded to Rigzone yet.

“We are proud to play our part in bringing to fruition President Trump’s vision for a new American golden age, powered by our enormous energy resources and unrivaled workforce,” Mike Wirth, chief executive officer and chairman, Chevron Corporation, said in the release.

“President Trump’s pro-American energy policies and commitment to energy and AI dominance give us the confidence to invest in projects that will create American jobs and strengthen our national security,” he added.

Chris James, founder and chief investment officer of Engine No. 1, said in the release, “energy is the key to America’s AI dominance”.

“By using abundant domestic natural gas to generate electricity directly connected to data centers, we can secure AI leadership, drive productivity gains across our economy, and restore America’s standing as an industrial superpower,” he added.

“This partnership with Chevron and GE Vernova addresses the biggest energy challenge we face,” he continued.

Scott Strazik, chief executive officer at GE Vernova, said in the release, “we are excited to enable the advancement of data center growth in the U.S. by supporting delivery of critical power needs to customers using innovative solutions”.

“GE Vernova is uniquely positioned to provide the energy systems and support required to make this large-scale endeavor possible, as the leading U.S. energy manufacturer,” he added.

In a separate release posted on its website on Wednesday, GE Vernova said it is planning to invest nearly $600 million in its U.S. factories and facilities over the next two years to help meet the surging electricity demands around the world.

The new investments are expected to create more than 1,500 new U.S. jobs, according to the release. GE Vernona noted in the release that the new investments are the first part of a larger $9 billion cumulative global capex and R&D investment plan through 2028 that was announced at the company’s investor update on December 10.

An executive order published on the White House website on January 23 states that it “revokes certain existing AI policies and directives that act as barriers to American AI innovation, clearing a path for the United States to act decisively to retain global leadership in artificial intelligence”.

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AI-powered automation set for gains in 2025

AI-driven automation could help close staffing gaps Research firm Enterprise Management Associates (EMA), too, cites the infrastructure complexity that has resulted from hybrid and multi-cloud networks and the need for more advanced automation. “EMA research finds that hybrid clouds are particularly problematic for network operations teams today. They’re struggling with

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New MISO demand response rules could bar resources from capacity auction: Voltus complaint

Newly imposed requirements by the Midcontinent Independent System Operator could disqualify all of Voltus’ 450 MW of demand response resources from the grid operator’s upcoming capacity auction, according to a complaint filed on Friday by the company at the Federal Energy Regulatory Commission. MISO’s tariff requires that market participants give the grid operator the results of “real power tests” to register demand resources as load modifying resources for capacity auctions if they do not have performance results from an actual MISO event, Voltus said in its complaint. The market participant must also have contractual rights to the demand resources, according to Voltus. On Dec. 19, MISO changed its testing methodology days before the deadline for conducting the tests for the grid operator’s 2025/26 planning year, according to Voltus. On Jan. 15, MISO changed the testing requirements again and set contracting requirements for “aggregators of retail customers,” such as Voltus, according to the complaint. Utilities face a different standard, Voltus said. “MISO’s beyond the eleventh hour changes to these requirements will have catastrophic impacts on market participants,” Voltus said. Load modifying resources face a March 1 deadline to be registered for MISO’s next capacity auction, according to the complaint. It is unlikely that contracts between demand response aggregators and their customers will include the exact information MISO now requires, and it will be impossible to renegotiate contracts ahead of auction deadlines, Voltus said. Hundreds of megawatts will be unable to participate in the auction, reducing resource adequacy and driving up clearing prices, according to the demand response company. MISO’s changes should have been made through its tariff, not by a market notice and at a stakeholder meeting, Voltus said. The company urged FERC to order MISO to revise its demand response-related requirements by changing its tariff. Voltus asked FERC to make a decision

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North Sea ruling branded ‘fudgement’ as Rosebank and Jackdaw live on

North Sea supporters have claimed a win despite a landmark court ruling found two major oil and gas developments were “unlawful”. Scotland’s Court of Session has overturned approvals handed out on the Rosebank North Sea oil field and the Jackdaw gas field, but allowed developers to continue working on them while they resubmit assessments on their environmental impact. Campaign groups Greenpeace and Uplift, which had lodged the case against the fields, claimed the ruling was “historic victory”. But others said decision subjects developers Shell (LON: SHEL) and Equinor (OSL: EQNR) to a “mere tick box exercise”. Norway’s Equinor and Shell, who are both planning to merge all their North Sea assets into a standalone joint venture by the end of the year, also both welcomed the ruling in Scotland’s Court of Session. The outcome of the assessment demanded by Judge Ericht depends on a review currently being undertaken by the UK government on its approach to oil and gas licensing and whether  Jackdaw, and Rosebank, currently the North Sea’s largest undeveloped field, compromise the UK’s net zero targets. At stake is billions of investment and thousands of jobs both projects could secure. Rosebank is a $3.8 billion project, targeting 300 million barrels of oil in the West of Shetland over two phases. Developer Equinor said it will create up to 2,000 jobs. Shell’s Jackdaw,  which is around 155 miles east of Aberdeen, is now set to be the first project to try out the new UK’s environmental assessment criteria when its review completes. © DC ThomsonEd Miliband (Secretary of State for Energy Security and Net Zero of the United Kingdom) now faces having to decide on the fate of Rosebank and Jackdaw. Image: Kenny Elrick/DC Thomson Panmure Liberum analyst Ashley Kelty branded the ruling a “fudgement” which benefited the oil

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Gran Tierra To Drill 10-14 Development Wells in 2025

Gran Tierra Energy Inc. is planning to drill 10 to 14 net development wells in 2025, including several with its new joint venture partner in Canada. The Calgary, Alberta-based company said in a news release that it plans to drill five to seven gross development wells in the Cohembi oil field located in the Southern Putumayo Basin of Colombia. Gran Tierra is also planning facility expansion, gas-to-power generation upgrades, and continued social investment in the area. The company has allotted a capital expenditure budget of $240 million to $280 million for the year. In Colombia’s Acordionero, Gran Tierra said it plans to focus on the optimization of the field through continued waterflood expansion activities, including facility expansions, and gas-to-power generation upgrades. The company is planning an active development drilling program for 2026. Meanwhile, in Ecuador’s Chanangue, the company plans to continue its appraisal program on the highly prospective Arawana/Zabaleta productive trend by drilling two to three appraisal wells. At Simonette in Canada, Gran Tierra plans to drill 2.5 net wells, “targeting two-layer co-development of the Lower and Middle Montney offering improved capital efficiency and lower proportionate infrastructure spending,” it said. Gran Tierra and its joint venture partner, Logan Energy, have started drilling the first two wells being drilled. Both wells are planned to be stimulated by the end of the first quarter or the beginning of the second quarter of 2025. For 2024, Gran Tierra reported total company average production of approximately 34,710 barrels of oil per day, an increase of 6 percent over 2023 and 13 percent compared to 2022. Gran Tierra President and CEO Gary Guidry said, “Following up on a strong 2024, which included a very successful exploration campaign and a new country entry into Canada, we are looking forward to our 2025 development and exploration program”.

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Chevron, Engine No1 Announce Power Solution Partnership for US Data Centers

In a recent joint release, Chevron U.S.A Inc. and Engine No. 1 announced “the formation of a partnership to build a new company to develop scalable, reliable power solutions for U.S. based data centers running on U.S. natural gas”. The release highlighted that the joint development is “in conjunction with GE Vernova” and “aims to establish the first multi gigawatt-scale co-located power plant and data center during President Trump’s second term”. The first projects are expected to leverage seven U.S. made GE Vernova 7HA natural gas turbines, secured under a slot reservation agreement, on an accelerated timeline, the release noted. The projects are expected to serve co-located data centers in the U.S. Southeast, Midwest, and West regions, the release added, stating that power generation is not designed to flow initially through the existing transmission grid, “reducing the risk of increasing electricity prices for consumers”. According to the release, the joint development plans to deliver up to four gigawatts, “the equivalent of powering 3-3.5 million U.S. homes, with initial in-service targeted by the end of 2027 and potential for project expansion beyond this capacity”. The release noted that the projects are expected to be designed with the flexibility to integrate lower carbon solutions. The release said the companies’ plans directly address the need for affordable, reliable energy to meet the significant demand for electricity to power U.S. data centers, enabling current and future generations of AI to be developed in the United States. The joint release also stated that the joint development is expected to create thousands of jobs and help the reindustrialization of the United States. Rigzone has asked Chevron, Engine No. 1, and GE Vernova what kind of jobs these are likely to be and roughly when recruitment will take place. At the time of writing, none of the

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Tamboran Starts New Well Stimulation Campaign in Australia’s Beetaloo Basin

Tamboran Resources Corp. has launched what it says is the biggest well stimulation campaign in the Beetaloo Sub-Basin onshore Australia’s Northern Territory. The campaign consists of the Shenandoah South 2H sidetrack (SS-2H ST1) and Shenandoah S2-4H (SS4H), with up to 119 stimulated stages planned across the two wells. “The SS-2H ST1 well is planned to include 43 stages over a 5,427-foot (1,654-meter) horizontal section and the SS-3H well is planned to include 76 stages over a 9,766-foot (2,977-meter) horizontal section”, Tamboran said in a regulatory filing. The wells are planned to supply the proposed Shenandoah South Pilot Project, which is expected to produce 40 million cubic feet of natural gas a day with production expected to start mid-2026. An additional four-well campaign is planned for 2025 to complete the project’s drilling phase. For the new stimulation campaign, Tamboran has deployed Liberty Energy Inc.’s modern stimulation equipment, which it said is “the first 80,000-hydraulic-horsepower frac spread imported into the Beetaloo Basin from the US”. “The increased horsepower of this equipment is expected to deliver a step change in stimulation efficiency and proppant intensity compared to previous wells completed in the Basin”, commented Tamboran managing director and chief executive Joel Riddle. “This stimulation campaign is planned to be the largest in the Beetaloo Basin to date, with up to 119 stages over a full lateral length of 15,193 feet (~4,631 meters) across the two wells, an average of ~127 feet per stimulated stage. “Importantly, these wells are planned to be among the first to provide reliable energy to the Northern Territory”. “We have successfully undertaken stimulation programs during the wet season in the Basin over the last two years, with campaigns at Amungee 2H (2022/23) and Shenandoah South 1H (2023/24)”, Riddle added. “This experience gives us confidence in our ability to safely and

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EOG Wins Two New PSCs in Trinidad

Trinidad and Tobago signed Wednesday two new production sharing contracts (PSCs) with EOG Resources Ltd., which is already producing in the Caribbean country. The licenses are part of shallow water areas offered in a 2023-24 bidding round in the twin islands, which opened October 2023 and closed May 2024, according to an online statement by the Ministry of Energy and Energy Industries (MEEI). “EOG continues to be very important to the fabric of the energy sector here in Trinidad and Tobago”, said Energy and Energy Industries Minister Stuart R Young. “We at the Ministry of Energy and Energy Industries have to continue to ensure the relationship is as we have built it to be, with open communication and then we proceed to get more done”, Young added. EOG managing director George Viera said, “The last time we signed a PSC was in 2005 so it has been a while, approximately 20 years ago and we are excited to get this going”. The new PSCs are Lower Reverse L and NCMA 4(a), out of three for which the United States oil and gas exploration and production company bid. Block Lower Reverse L is on the southeast coast of Trinidad island. It has water depths of about 80-200 meters (262.47-656.17 feet). It is near existing EOG infrastructure and producing assets, the MEEI said. NCMA 4(a) sits on the North Coast Marine Area with water depths of around 100-200 meters. “Entry into NCMA marks a significant milestone for EOG, as it ventures into an area predominantly operated by other companies”, the ministry said. NCMA hosts seven gas fields to the north of Trinidad: Bougainvillea, Chaconia, Heliconia, Hibiscus, Ixora, Poinsettia and Poinsettia Southwest. The fields, discovered between the late 1970s and the early 1980s and put into production twenty years later, lie on trend with

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Verizon brings AI suite to enterprise infrastructure customers

Verizon Business has launched AI Connect, an integrated suite of products designed to let businesses deploy generative artificial intelligence (AI) workloads at scale. Verizon is building its AI ecosystem by repurposing its existing infrastructure assets in its intelligent and programmable network, which consists of fiber, edge networking, and data center assets, along with its metro and long-haul fiber, ILEC and Fios footprint, its metro network build-out, lit and dark fiber services, and 5G network. Verizon believes that the drive toward real-time decision-making using inferencing will be what drives demand for additional computing power.  The company cites a McKinsey report, which states that 60% to 70% of AI workloads are expected to shift to real-time inference by 2030. That will create an urgent need for low-latency connectivity, compute and security at the edge beyond current demand.

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Trump’s 100% tariff threat on Taiwan chips raises cost, supply chain fears

“I don’t think we will see a near-term impact, as it takes years to build fabs, but by the end of the decade, the US share could rise by a few percentage points,” Gupta said. “It’s hard to give an exact number, but if I were to estimate, I’d say 14-15%. That isn’t a lot, but for the US to gain share, someone else must lose it, and while the US is making efforts, we see similar developments across Asia.” Yet, if Washington imposes smaller tariffs on imports from countries such as India, Japan, or Malaysia, Taiwanese chipmakers may shift production there rather than to the US, according to Stephen Ezell, vice president at the Information Technology and Innovation Foundation (ITIF). “Additionally, if the tariffs applied to Chinese chip exports were lower than for Taiwanese exports, Trump would be helping Chinese semiconductor manufacturers, whose exports to the US market would then be less expensive,” Ezell said in a recent note. “So, for this policy to have any real effect, Trump effectively must raise tariffs on all semiconductors, and that would likely lead to global tit-for-tat.” Enterprise IT faces tough choices If semiconductor tariffs drive up costs, enterprises will be forced to reassess spending priorities, potentially delaying or cutting investments in critical IT infrastructure. Rising chip prices could squeeze budgets for AI, cloud computing, and data center expansions, forcing businesses to make difficult trade-offs. “On the corporate side, hyperscalers and enterprise players need to brace for impact over the next 2-3 years if high tariffs continue along with the erosion of operating margin,” Faruqui said. “In addition, the boards and CEOs have to boldly make heavy CAPEX investment on US Soil via US and Asian partners as soon as possible to realize HVM on US soil and alleviate operating margin erosion due to

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New tweak to Linux kernel could cut data center power usage by up to 30%

When network traffic is heavy, it is most efficient, and delivers the best performance, to disable interrupts and run in polling mode. But when network traffic is light, interrupt-driven processing works best, he noted. “An implementation using only polling would waste a lot of resources/energy during times of light traffic. An implementation using only interrupts becomes inefficient during times of heavy traffic. … So the biggest energy savings arise when comparing to a high-performance always-polling implementation during times of light traffic,” Karsten said. “Our mechanism automatically detects [the amount of network traffic] and switches between polling and interrupt-driven to get the best of both worlds.” In the patch cover letter, Damato described the implementation of the new parameter in more detail, noting: “this delivery mode is efficient, because it avoids softIRQ execution interfering with application processing during busy periods. It can be used with blocking epoll_wait to conserve CPU cycles during idle periods. The effect of alternating between busy and idle periods is that performance (throughput and latency) is very close to full busy polling, while CPU utilization is lower and very close to interrupt mitigation.” Added Karsten: “At the nuts and bolts level, enabling the feature requires a small tweak to applications and the setting of a system configuration variable.” And although he can’t yet quantify the energy benefits of the technique (the 30% saving cited is best case), he said, “the biggest energy savings arise when comparing to a high-performance always-polling implementation during times of light traffic.”

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Macquarie’s Big Play in AI and HPC: $17+ Billion Invested Across Two Data Center Titans

Macquarie Asset Management (MAM) is making bold moves to position itself as a dominant force in the rapidly growing sectors of AI and high-performance computing (HPC). In a single week, MAM has made two pivotal investments in Applied Digital and Aligned Data Centers, committing over $17 billion to fuel innovation, growth, and capacity expansion in critical infrastructure markets across the Americas. Both deals highlight the immense demand for AI-ready and HPC-optimized data centers, underscoring the ongoing digitization of the global economy and the insatiable need for computing power to drive artificial intelligence (AI), machine learning (ML), and other resource-intensive workloads. Applied Digital Partners with Macquarie Asset Management for $5 Billion HPC Investment On January 14, Applied Digital Corporation announced what it billed as a transformative partnership with Macquarie to drive growth in HPC infrastructure. This agreement positions Applied Digital as a leading designer, builder, and operator of advanced data centers in the United States, catering to the growing demands of AI and HPC workloads. To account for the $5 billion commitment, funds managed by MAM will invest up to $900 million in Applied Digital’s Ellendale HPC Campus in North Dakota, with an additional $4.1 billion available for future HPC projects. This could support over 2 gigawatts (GW) of HPC data center development. MAM is a global asset manager overseeing approximately $633.7 billion in assets. Part of Australia-based Macquarie Group, it specializes in diverse investment solutions across real assets, real estate, credit, and equities. With its new landmark agreement with Macquarie, Applied Digital feels it is poised to redefine the HPC data center landscape, ensuring its place as a leader in the AI and HPC revolution. In terms of ownership structure, MAM’s investment here includes perpetual preferred equity and a 15% common equity interest in Applied Digital’s HPC business segment, allowing

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Data Center Frontier Announces Editorial Advisory Board for 2025 DCF Trends Summit

Nashua, NH – Data Center Frontier is excited to announce its Editorial Advisory Board for the second annual Data Center Frontier Trends Summit (DCF Trends Summit), taking place August 26-28, 2025, at the Hyatt Regency Reston in Reston, Virginia.  The 2025 DCF Trends Summit Editorial Advisory Board includes distinguished leaders from hyperscale and colocation operators, power and cooling solutions companies, IT and interconnection providers, and design/build/construction specialists. This year’s board has grown to include 15 esteemed executives, reflecting DCF’s commitment to providing comprehensive and diverse insights for the data center sector.  This visionary group of leaders, representing the critical facets of the data center ecosystem, will guide the event’s content and programming to address the most pressing trends impacting the industry. The group’s unparalleled expertise ensures the Summit will deliver essential insights to help data center stakeholders make informed decisions in the industry’s rapidly evolving landscape.  The Editorial Advisory Board for the 2025 DCF Trends Summit includes:  Scott Bergs, CEO, Dark Fiber & Infrastructure (DF&I) Steven Carlini, VP, Innovation and Data Center Energy Management Business, Schneider Electric Dan Crosby, CEO, Legend Energy Advisors Rob Coyle, Director of Technical Programs, Open Compute Project (OCP) Foundation Chris Downie, CEO, Flexential Sean Farney, VP of Data Centers, Jones Lang LaSalle (JLL) Mark Freeman, VP of Marketing, Vantage Data Centers Steven Lim, SVP of Marketing & GTM Strategy, NTT Global Data Centers David McCall, VP of Innovation, QTS Data Centers Nancy Novak, Chief Innovation Officer, Compass Datacenters Karen Petersburg, VP of Construction & Development, PowerHouse Data Centers Tara Risser, Chief Business Officer, Cologix Stefan Raab, Sr. Director, Business Development – AMER, Equinix Phill Lawson-Shanks, Chief Innovation Officer, Aligned Data Centers Brenda Van der Steen, VP of Global Growth Marketing, Digital Realty “The Editorial Advisory Board for the second annual Data Center Frontier Trends Summit is

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Podcast: Data Center Trends Discussion with Industry Veteran Ron Vokoun of Everus Construction Group

For this episode of the Data Center Frontier Show Podcast, DCF Editor in Chief Matt Vincent and Senior Editor David Chernicoff sat down for a far-reaching discussion with data center industry luminary Ron Vokoun, a 35-year veteran of the construction industry with a primary focus on digital infrastructure.  “I got into telecom back in ’92, which led to data centers,” Vokoun said. “Probably worked on my first one around ’96 or ’97, and I’ve been involved ever since.” Currently the Director of National Market Development for Everus Construction Group, Vokoun has been involved in AFCOM, both regionally and nationally, for nearly two decades and is an emeritus content advisory board member for Data Center World. He has also written extensively for Data Center Dynamics. He added, “I’ve just always been curious—very much a learner. Being a construction guy, I often write about things I probably have no business writing about, which is always the challenge, but I’m just curious—a lifelong learner. Interestingly, [DCF founder] Rich Miller … gave me my first blogging opportunity.” Here’s a timeline of the podcast’s highlights: Introductions – Ron Vokoun shares his extensive background. He has been in the construction industry for 35 years. 1:46– On his role at Everus Construction Group and the company’s diverse services across the nation. 2:07– Vokoun reflects on his long-standing relationship with Rich Miller. He acknowledges Rich’s influence on his blogging career. 3:05 Nuclear Energy – A discussion about nuclear energy trends occurs. The importance of nuclear energy in data center construction is probed. 3:35– Natural gas is highlighted as a key trend. Its role as a gateway to hydrogen is emphasized. 3:51– The impact of recent nuclear developments is analyzed. The reopening of Three Mile Island is noted as significant. 4:55 Future Power Sources for Data Centers – Discussion turns to the

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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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