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Google’s Utah Deal Puts Geothermal Power on the Data Center Map

In Taiwan, the Work Begins With Access to Land Google’s first geothermal procurement agreements in Asia call for an initial 10 MW of new generation on Taiwan’s grid to support local data centers and offices. When Google and developer Baseload Capital announced the agreements in April 2025, a Google energy executive told Taiwan Public Television […]

In Taiwan, the Work Begins With Access to Land

Google’s first geothermal procurement agreements in Asia call for an initial 10 MW of new generation on Taiwan’s grid to support local data centers and offices. When Google and developer Baseload Capital announced the agreements in April 2025, a Google energy executive told Taiwan Public Television Service that the companies expected operations to begin in 2029. The original timetable allowed roughly four years between signing a customer and delivering electricity.

Baseload’s development work in Hualien County illustrates one reason such projects take time. In November 2025, the company reported that members of the Hongye Tribe had voted to approve a public-land lease for geothermal exploration. Baseload opened a local office, reached an agreement with the community, and secured an exploration permit for a two-year program of drilling in stages. The company has described Hongye separately from Google’s contracted supply. What the Hualien project documents is an early milestone rarely visible in a power purchase announcement: the developer secured community consent before drilling could establish what the field might produce.

Kenya Has the Generating Field. The Campus Remains Unresolved.

In Kenya’s Rift Valley, the appeal of Olkaria was evident when Microsoft and G42 announced their digital investment initiative in 2024. Kenya already had a fleet of geothermal generating stations at Olkaria. G42 and local partners proposed building a campus there, powered by geothermal electricity and hosting Microsoft Azure services for a new East Africa cloud region.

Two difficulties emerged. In May 2026, Semafor reported that President William Ruto had cited insufficient available power as an obstacle to the project. Separately, Reuters, citing Bloomberg, reported disagreements over payment guarantees. Microsoft and G42 had sought a commitment from the Kenyan government to buy a certain amount of computing capacity annually. Kenya’s principal secretary for information said discussions remained active at the time. The project was reported delayed, with its scale and terms still under discussion.

Olkaria exposes two decisions that often get folded into the phrase geothermal-powered campus. The electricity supplier needs to establish how much power it can reserve after serving existing customers. The campus developer needs customers prepared to buy enough computing capacity to support the investment. In Beaver County, Google has settled the first question for 396 MW even if its campus plans change. In Kenya, the terms on both sides of the meter became subjects of negotiation.

New Zealand and Iceland Offer a View From Operations

Near Taupō on New Zealand’s North Island, the distinction between what a plant produces and what a technology company purchases is written into the contract. Contact Energy’s 51.4 MW Te Huka Unit 3 began supplying the national grid in December 2024. Under a ten-year agreement with Contact, Microsoft purchases all the renewable energy attributes associated with the plant’s output. Electricity flows into the national system. Microsoft gains the contractual right to claim the renewable generation without having to put its data halls beside the wells.

Iceland offers the view from the customer’s rack. At its campus on a former NATO base near Keflavík, Verne identifies geothermal and hydroelectric generation as its power sources. Its campus specifications also list two 33 kV transmission feeds, diverse power routes, and 2N generator redundancy. For a customer choosing where to install a high-performance computing cluster, those details belong together. The generation mix describes the electricity available to the campus. The feeds and backup generators describe how Verne keeps equipment energized when a supply route or a piece of electrical infrastructure goes out of service.

Even in an established renewable market, operators negotiate additional supply campus by campus. In June, Icelandic generator Landsvirkjun and Borealis Data Center announced a 12 MW power purchase agreement supporting expansion at Blönduós. Landsvirkjun operates hydroelectric, geothermal, and wind facilities. The agreement gives Borealis a specific quantity of additional power on that system, a more useful figure for an expansion schedule than the country’s overall renewable share.

Taking Geothermal to the Load

The larger opportunity for data center developers is to widen the map beyond places with established geothermal fields. Conventional plants depend on finding accessible heat, fluid, and a pathway through the rock. Enhanced geothermal developers use drilling and reservoir engineering to circulate fluid through hot rock. For an operator with land, fiber, and customers already lined up, the attraction is the prospect of developing generation closer to the proposed load. As Sage Geosystems CEO Cindy Taff remarked in a DCF Show conversation about geothermal and time to power, “Now the primary challenge is just enough energy.”

Meta is pursuing two approaches. Its partnership with Sage targets up to 150 MW using a geopressured geothermal system, with an initial phase originally aimed at 2027. Separately, XGS Energy’s planned 150 MW project in New Mexico would use closed-loop technology to supply the Public Service Company of New Mexico grid in support of Meta’s operations. In March, XGS placed an initial order for Baker Hughes engineering services. The milestones to watch are wells completed, net electricity available after the plant powers its own equipment, and the first deliveries accepted by the grid.

A dozen years ago, the solar field serving QTS Princeton gave visitors something they could see and measure: 57,000 panels and 14.1 MW of generating capacity. At Cape Station, the equivalent field report is the status of three adjoining units. One sells electricity. The second is sending test power to the grid. Crews are commissioning the third. Google’s eight units follow those. For a data center operator deciding when to order servers or promise capacity to a customer, that sequence is the part of the gigawatt story that sets the calendar.

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Venture Global moves up first LNG date for CP2

The leaders of Venture Global Inc., Arlington, Va., have moved up to July the date at which they expect to produce the company’s first LNG from its CP2 complex in Louisiana. Chief executive officer Mike Sabel had previously told investors that Venture Global were targeting the second half of 2027

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EIA sees Brent near $100/bbl through yearend 2026 as Middle East supply constraints persist

Global crude oil prices are expected to remain near $100/bbl through yearend 2026 as continued Middle East supply disruptions, tanker attacks, and constrained shipping capacity keep oil markets tight, the US Energy Information Administration (EIA) said in its November Short-Term Energy Outlook (STEO). EIA forecasts Brent crude oil spot prices will average about $100/bbl in November and December before gradually declining in 2027 as Middle East production recovers and global inventories rebuild. Brent is projected to average $97/bbl in 2026 and $86/bbl in 2027, falling to $77/bbl by fourth-quarter 2027. Brent averaged $124/bbl in October, up $10/bbl from September and the highest monthly average since July 2022 on an inflation-adjusted basis. Prices rose for a third consecutive month as declining inventories, tanker attacks in the Middle East and Black Sea, and higher shipping costs disrupted global oil flows. However, Middle East exports increased slightly in October following the restart of Saudi Arabia’s East-West Pipeline, according to Vortexa vessel-tracking data cited by EIA. Continued shipments through the Strait of Hormuz, supported by ship-to-ship transfers along Oman’s coast, also helped ease supply constraints. Brent fell below $100/bbl on Nov. 4. Middle East crude oil production shut-ins averaged an estimated 2.5 million b/d in October, down sharply from a peak of 10.9 million b/d in May. EIA expects disruptions to remain near 2.5 million b/d through fourth-quarter 2026 before declining to 1.9 million b/d in first-half 2027 and 1.3 million b/d in the second half. EIA assumes most Middle East production outside Iran will return to pre-conflict levels by mid-2027, supported by pipeline bypass routes, ship-to-ship transfers, and additional pipeline capacity in the United Arab Emirates. Iranian exports, however, are expected to remain constrained throughout the forecast period. Global oil inventories declined by an estimated 1.2 million b/d in third-quarter 2026 but are

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Salt Creek advances Delaware basin gas processing expansion

Salt Creek Midstream LLC has ordered long-lead equipment for a fourth cryogenic natural gas processing plant at its Pecos Processing Complex in Reeves County, Tex. Slated for final investment decision by yearend 2026, the proposed Pecos IV train project, if approved, would add up to 300 MMcfd of capacity and enter service in second-half 2028, the operator said in a release Nov. 11. Depending on a final capacity decision for the project, the expansion could lift the company’s overall installed Permian gas processing capacity to as much as 900 MMcfd. With the Pecos site designed for further expandability up to 1.2 billion bcfd from its current 600-MMcfd capacity, Salt Creek said it has also now secured grid power to support that potential buildout. The proposed project follows customer and volume growth across Salt Creek’s Delaware basin system, which the company said will exceed its existing system’s 600 MMcfd of processing capacity in first-half 2027. To support its planned Permian growth program, Salt Creek confirmed it has also secured strategic offloading contracts to provide firm processing capacity as a bridge to the planned expansions. Those offloads are scheduled to enter service by the end of first-quarter 2027, according to the operator. Salt Creek reported the addition of nearly 300,000 acres dedicated across the Permian’s eight core counties, following additional acreage commitments signed earlier in the year. The dedications cover more than 20 unidentified customers. The operator said it expects about 75% of anticipated 2027 throughput to come from investment-grade counterparties, while customer volume commitments to support about 35% of projected volumes. The company’s acreage position includes about 40,000 dedicated acres in the liquids-rich core of the Woodford fairway, along with additional exposure to prospective areas. Salt Creek estimated Woodford volumes to exceed 200 MMcfd by yearend 2027 based on more than

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No home left behind: Scaling VPP participation while maintaining customer control

Listen to the article 5 min This audio is auto-generated. Please let us know if you have feedback. Gisela Glandt is vice president of virtual power plants at Uplight, a provider of utility demand management solutions. Load growth is back, and it isn’t slowing down. Electrification, data centers and extreme weather are pushing utilities to find flexible capacity faster than they can build it. Demand-side programs including demand response, virtual power plants, time-varying rates and energy efficiency are one of the few levers that scale quickly and cost-effectively — yet the industry keeps hitting the same wall. Gisela Glandt Roughly 80% of customers say they want help managing their energy, but utilities are still seeing enrollment in demand management programs around 10% — despite larger incentives, more innovative technology, and more targeted marketing. What if the problem isn’t the customers and instead is the process of asking them to raise their hand? Opt-in utility program enrollment puts the burden on the customer: to understand the program, check to see if they are eligible, decide it’s worth it, and then take action. The benefits and incentives can show up months down the road, and they may even forget about them. Most people don’t make it past enrollment and it’s not because of lack of interest. It simply involves too many steps and too much brain power.  The industry is shifting from programs customers must join to flexibility that’s already embedded as a default or activated at the point of sale of a device, with no enrollment required. Where utilities have made this shift, customer participation climbs from 10% into the 70% to 100% range. One Midwestern utility that restructured a program from opt-in to opt-out scaled capacity four to five times faster — and had 70% to 80% of customers participate. 

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Planet One encounters hydrocarbons at Nya Gyidie-1X offshore Ghana

Planet One Oil & Gas has encountered hydrocarbons in the Nya Gyidie-1X exploration well on the Deepwater Cape Three Points (DWCTP) Block offshore Ghana, opening what the company describes as a new carbonate exploration play in the country. The well, drilled about 148 km offshore in 2,289 m of water, encountered hydrocarbons in carbonate reservoirs between 3,364 m and 3,499 m measured depth. Planet One said further technical evaluation is under way to determine the discovery’s size and commercial potential. According to the operator, Nya Gyidie-1X is Ghana’s first successful test of a Cenomanian-Turonian carbonate reservoir system as a primary exploration target. Most of the country’s commercial oil and gas discoveries to date have been associated with sandstone reservoirs. “The significance of Nya Gyidie-1X goes beyond the hydrocarbons encountered in this well,” said Kwame Ntow Amoah, chief executive officer of Ghana National Petroleum Corp. “For the first time in Ghana, we have tested and confirmed hydrocarbons in a carbonate reservoir system, opening up a new geological play for further exploration.” The DWCTP block covers about 1,454 sq km in the Deepwater Tano basin. Planet One operates the block with partners GOIL Upstream Ltd. and Ghana National Petroleum Corp.

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Chevron signs Namibia license farm-out deal with QatarEnergy

@import url(‘https://fonts.googleapis.com/css2?family=Inter:wght@100..900&display=swap’); .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; color: color-mix(in srgb, currentColor 60%, transparent); } Chevron Corp. has agreed to farm out to QatarEnergy a partial, non-operated interest in an exploration block offshore Namibia. Financial details were not disclosed.   Through the agreement, Chevron subsidiary Chevron Namibia Exploration II Ltd. will farm out 25% interest in Petroleum Exploration License 0082 (PEL82), comprising blocks 2112B and 2212A in Walvis basin, QatarEnergy said in a release this week. Upon completion of the deal, Chevron will remain operator of the block with 55% interest. Namcor E&P and Custos Energy will each hold a 10% interest. PEL82 covers an area of about 11,444 sq km in water depths of 350-2,300 m. Chevron acquired an 80% operated interest in the license in 2024 through a farm-in deal with National Petroleum Corp. of Namibia (Namcor). At the time of Chevron’s farmout with Namcor, about 70% of the total block area was covered by existing seismic (3,500 km of 2D and 9,500 sq km of 3D) data. Previous drilling activity on the license included the Murombe-1 and Wingat-1 wells. Results confirmed regional extension and presence of the Barremian-Aptianoil-prone source rock (Kudu shale). The Murombe-1 penetrated the Baobab sands with about 20% porosity. The Wingat-1 well recovered 38-41° API oil to surface.

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Energy Department Closes $480 Million Loan to Expand American Energy Production and Strengthen Offshore Infrastructure in the Gulf of America

The U.S. Department of Energy’s (DOE) Office of Energy Dominance Financing (EDF) today announced the financial close of a $480 million loan for Arena Energy’s Project Elkhorn to increase oil and natural gas production across the Gulf of America shelf. The project will modernize 22 offshore platforms off the coast of Louisiana and, at peak production, is expected to add up to 38,600 barrels of oil per day and up to 77 million cubic feet of natural gas per day to U.S. energy production. Today’s announcement is made possible by President Trump’s Working Families Tax Cut and marks the Energy Department’s first closed loan supporting domestic oil and natural gas production, underscoring DOE’s commitment to advancing American energy dominance and delivering affordable, reliable, and secure energy for American families and businesses. “The United States is the world’s largest producer and exporter of oil and natural gas, and thanks to President Trump, American energy production will continue to grow,” said U.S. Secretary of Energy Chris Wright. “Project Elkhorn will increase oil production by up to 38,600 barrels per day and create thousands of jobs. By providing financing for projects like Project Elkhorn, the Energy Department is expanding domestic production and strengthening our energy security to power American prosperity for decades to come.” Arena Energy currently produces approximately 30,000 barrels of oil per day offshore in the Gulf of America. Project Elkhorn will modernize existing offshore infrastructure and expand production capacity—adding approximately 125 million barrels of oil and 250 billion cubic feet of natural gas to U.S. energy production over the life of the project. The project will create 2,400 construction-related jobs and 400 operations jobs in one of the nation’s most important offshore energy corridors. “Thanks to President Trump and Secretary Wright’s leadership, EDF is putting existing energy infrastructure back to work for the American people,” said EDF Director Gregory A. Beard. “Project Elkhorn will expand domestic oil and natural gas production, create good-paying

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Google’s Utah Deal Puts Geothermal Power on the Data Center Map

In Taiwan, the Work Begins With Access to Land Google’s first geothermal procurement agreements in Asia call for an initial 10 MW of new generation on Taiwan’s grid to support local data centers and offices. When Google and developer Baseload Capital announced the agreements in April 2025, a Google energy executive told Taiwan Public Television Service that the companies expected operations to begin in 2029. The original timetable allowed roughly four years between signing a customer and delivering electricity. Baseload’s development work in Hualien County illustrates one reason such projects take time. In November 2025, the company reported that members of the Hongye Tribe had voted to approve a public-land lease for geothermal exploration. Baseload opened a local office, reached an agreement with the community, and secured an exploration permit for a two-year program of drilling in stages. The company has described Hongye separately from Google’s contracted supply. What the Hualien project documents is an early milestone rarely visible in a power purchase announcement: the developer secured community consent before drilling could establish what the field might produce. Kenya Has the Generating Field. The Campus Remains Unresolved. In Kenya’s Rift Valley, the appeal of Olkaria was evident when Microsoft and G42 announced their digital investment initiative in 2024. Kenya already had a fleet of geothermal generating stations at Olkaria. G42 and local partners proposed building a campus there, powered by geothermal electricity and hosting Microsoft Azure services for a new East Africa cloud region. Two difficulties emerged. In May 2026, Semafor reported that President William Ruto had cited insufficient available power as an obstacle to the project. Separately, Reuters, citing Bloomberg, reported disagreements over payment guarantees. Microsoft and G42 had sought a commitment from the Kenyan government to buy a certain amount of computing capacity annually. Kenya’s principal secretary for

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Alberta’s Gigawatt Play: Why Building Data Centers Means Building an Industry

For Alberta’s emerging data center industry, the difference between a roadmap and an excavator has become increasingly consequential. A few years ago, Western Canada’s data center conversation revolved around the possibilities: abundant energy resources, available land, a favorable climate and the prospect of attracting hyperscale investment to a region better known for oil, gas and other industrial development. Today, earthmoving equipment is preparing the ground for what is expected to become Canada’s largest data center, and the questions facing the province have changed accordingly. The shift was on display at Data Centre West 2026, held in Calgary in September, where some 500 industry and government leaders gathered to examine the infrastructure and policy requirements of Alberta’s rapidly expanding digital economy. But for conference founder Vlad Oujegov, the most revealing development wasn’t simply the appearance of projects measured in gigawatts. It was the growing recognition that building those projects will require Alberta to develop an entire supporting industry, while confronting the environmental, political and community questions that increasingly accompany large-scale AI infrastructure. “The theme last year was the data center roadmap,” Oujegov told Data Center Frontier Editor in Chief Matt Vincent during a new episode of the Data Center Frontier Show podcast. “This year’s theme really to me was about execution and actually getting things done, actually seeing projects materialize and construction beginning.” Oujegov is president and founder of the Western Canada Data Centre Alliance, which organizes Data Centre West, and serves as National Data Center Power Systems Lead at Schneider Electric. His perspective draws on both Alberta’s emerging development pipeline and the wider industrial ecosystem now being assembled around it. In DCF’s earlier reporting from Data Centre West 2026, the central question was how quickly Alberta could convert growing hyperscale demand into deliverable capacity. The latest podcast conversation takes that

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Data center champions lose badly as ballot initiatives target AI infrastructure

In other locales, data centers lost badly. In Joliet Township, Illinois, a restriction on new data centers passed with 80% of the vote. In Hubbard, Ohio, more than three-quarters of voters gave data centers a thumbs down. Ohio emerged as the main battleground, accounting for 21 of the 50 measures tracked by Ballotpedia. The votes covered several different approaches to controlling development: outright bans, power-consumption thresholds, temporary permitting moratoriums, mandatory public votes and requirements for developers seeking tax incentives. California and Florida saw outright bans. California voters in the cities of Alhambra and Monterey Park, where voters approved a measure prohibiting data centers. In Florida, Edgewater voters approved a charter amendment opposing new data centers and expansions of existing facilities.

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Land & Expand: Texas’ AI Boom Meets a New Political Reality

Hut 8 Advances a Gigawatt-Scale Campus Near Corpus Christi Another significant development came November 4, when Hut 8 reported continued progress on its Beacon Point AI data center campus in the Corpus Christi region. The company said that its previously announced second 352 MW IT-capacity lease had fully commercialized the campus, bringing the total contracted IT capacity associated with the two phases to 704 MW. The campus is designed around approximately 1 GW of utility capacity, a separate measure from the critical IT load under lease. Hut 8 estimates approximately $19.6 billion in base-term contract value across the two phases. In its third-quarter results, the company said construction of the campus substation had begun, alongside foundation and underground utility work for the first phase. Initial data hall delivery is targeted for the third quarter of 2027, with the second phase targeted for the second quarter of 2028. The company also disclosed agreements to acquire two energized sites in West Texas, with up to 230 MW of utility capacity at full energization, subject to outstanding approvals and infrastructure development. Those acquisitions point to another important trend: the increasing value of existing electrical infrastructure and sites that can potentially be adapted to serve advanced computing. As new greenfield projects face lengthy power studies and regulatory requirements, already energized locations may offer an alternative route to capacity. The distinction is especially important in markets such as Dallas-Fort Worth, where DCF’s analysis of CBRE’s first-half 2026 data found that approximately 95% of the region’s 765 MW under construction had already been preleased. PowerHouse and Big Watt Win Approval for Taylor Technology Campus Not every large new project is meeting resistance at the municipal level. On October 8, the City of Taylor approved a development agreement with PowerHouse Data Centers and Big Watt Digital for

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Google targets AI’s next infrastructure bottlenecks with two new TPUs

“It’s like adding more lanes to the highway,” he observed. “We’re not necessarily making each car travel faster, we’re creating more capacity so more traffic can move through the system at the same time.” Handling bursts, idling However, an agentic workload doesn’t behave exactly like a traditional inference workload. “It is bursty, long running, but often idle,” Lohmeyer noted. While it might generate outputs and call tools, it still has to wait for a response, maybe from a human, “literally for days.” During that time, it doesn’t need to do anything; it just needs to preserve context. But if resources are tied up for that entire multi-day period, they’re being wasted “90% plus of the time,” he said. Google Cloud’s open source TPU Sync is designed to address these issues by unifying memory, storage, and networking in software. The model-state layer for TPUs turns chip high bandwidth memory (HBM), host DRAM, shared storage, and the data center network into a “single, co-designed memory hierarchy,” the company said. It automatically tiers KV caches off the chip in milliseconds, streams context across nodes, and synchronizes RL weights to cut transfer latency and Time to First Token (TTFT) by more than 90%.

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DCF Global: Britain’s New Bargain With the AI Data Center Industry

The Global Perspective: A New Bargain for the AI Economy? Britain’s new Data Centre Covenant may ultimately prove important well beyond the United Kingdom. Governments across the world are attempting to reconcile the economic promise of AI infrastructure with the extraordinary physical requirements of building it. Electricity networks must accommodate loads measured in hundreds of megawatts. Utilities must plan transmission and generation investments years in advance. Communities are being asked to host facilities whose construction costs can run into billions, but whose permanent employment footprints may be relatively modest. At the same time, national governments increasingly view domestic computing capacity as a strategic asset. Britain is attempting to connect those issues within a single policy framework. Its approach differs in important respects from the fragmented regulatory environment in the United States, where utility commissions, state governments, local authorities, and regional grid operators exercise separate—and sometimes competing—powers over development. Nevertheless, the underlying questions are increasingly similar. In DCF’s October examination of Virginia’s changing data center policies, the industry’s largest established market was confronting new expectations concerning infrastructure costs, utility commitments, community impacts, and the conditions under which large facilities should receive development approval. Britain’s Covenant addresses comparable pressures through a more coordinated national initiative. It effectively proposes that preferential treatment for strategically important data center development should be accompanied by demonstrable public value. That is a meaningful evolution in the relationship between government and the industry. For years, data center investment announcements have emphasized capital expenditure, construction employment, technological leadership, and economic development. Those considerations remain important. But Britain’s emerging framework asks a more demanding set of questions: Can the project obtain real electricity capacity? Will it pay its fair share of infrastructure costs? Does it contribute to domestic capability? What obligations does it have to its host community? And can

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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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