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JP Morgan Analysts Say Sentiment on Oil is Neutral to Optimistic

In a research note sent to Rigzone late Tuesday by Natasha Kaneva, Head of Global Commodities Strategy at J.P. Morgan, analysts at the company, including Kaneva, said “based on numerous recent discussions with institutional and corporate clients”, they “conclude that the sentiment on oil is neutral to optimistic, particularly within the corporate community”. “Many believe […]

In a research note sent to Rigzone late Tuesday by Natasha Kaneva, Head of Global Commodities Strategy at J.P. Morgan, analysts at the company, including Kaneva, said “based on numerous recent discussions with institutional and corporate clients”, they “conclude that the sentiment on oil is neutral to optimistic, particularly within the corporate community”.

“Many believe we are in a ‘peak Trump’ phase, suggesting that the worst is behind us and we are now entering a period of de-escalation,” the J.P. Morgan analysts stated in the research note.

“There is a prevailing view that the tailwinds from trade deal announcements and the administration’s shift in focus from tariffs to taxes and deregulation will drive oil prices back into the mid-$70s following the recent downturn,” they added.

In the note, the analysts said this perspective is evident in investor positioning and the term structure of oil and oil products.

“Money managers increased their net-long positions in Nymex WTI to the highest level since late January last week, while short positions in Brent fell by the most since October,” they highlighted.

“Brent’s prompt spread hit its strongest level since January, and open interest on Brent climbed to a new record, with Brent September $95 calls trading more than 10,000 times last Tuesday,” they added.

“Additionally, the Nymex gasoline crack settled at its highest level since the start of the month, following an eight-week consecutive drop in U.S. stockpiles, and despite concerns related to demand, product cracks in the U.S. continue to remain firmly in backwardation,” they went on to state.

The J.P. Morgan analysts noted in the publication that the recent de-escalation in trade talks has reduced the probability of a bear case but warned that “the ‘Trump put’ does not extend to energy, as the administration continues to prioritize lower oil prices to manage inflation”.

“On the demand side, markets may be underestimating the final tariff levels that the Trump administration plans to impose on U.S. imports,” the analysts said in the note. 

Rigzone has contacted the White House for comment on the research note sent to Rigzone by Kaneva. At the time of writing, the White House has not responded to Rigzone.

The J.P. Morgan research note showed that the company is projecting that Brent crude oil will average $66 per barrel in 2025 and $58 per barrel in 2026. The company expects WTI crude oil to average $62 per barrel this year and $53 per barrel next year, the note outlined.

According to the note, J.P. Morgan sees Brent averaging $67 per barrel in the second quarter of this year, $63 per barrel in the third quarter, $61 per barrel in the fourth quarter, $55 per barrel in the first quarter of next year, $57 per barrel across the second and third quarters of 2026, and $60 per barrel in the fourth quarter of next year.

J.P. Morgan expects the WTI price to come in at $63 per barrel in the second quarter of 2025, $59 per barrel in the third quarter, $57 per barrel in the fourth quarter, $51 per barrel in the first quarter of 2026, $53 per barrel across the second and third quarters of next year, and $56 per barrel in the fourth quarter of 2026, the note showed.

J.P. Morgan’s research note highlighted that Brent averaged $82 per barrel and WTI averaged $76 per barrel in 2024. It pointed out that the former averaged $81 per barrel in 2023 and the latter came in at $76 per barrel again in 2023.

On its site, J.P. Morgan describes itself as a leading global financial services firm with assets of $3.9 trillion and operations worldwide. The company has “a legacy dating back to 1799”, its site points out.

To contact the author, email [email protected]

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Pantheon of college football gets a Wi-Fi upgrade

Notre Dame has fully adopted mobile ticketing and introduced grab-and-go concession stands, with plans to expand them further. Alcohol sales were recently approved, prompting efforts to support new services like mobile carts. In premium areas, fans can stream various games during events. Notre Dame also tested mobile ordering for concessions

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The U.S. leads the world in AI (job) anxiety

The Americans have the highest search volume with a population-adjusted value of 440,000 search queries on the topic of AI job loss, while their attitude towards AI is moderately positive at 54.5%. The intensity score of 3 for the U.S. shows that the concern of losing jobs to AI is

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Tigera extends cloud-native networking with Calico 3.30

This logging capability is exposed through two new components: Goldmane: A gRPC-based API endpoint that aggregates flow logs from Calico’s Felix component, which runs on each node. Whisker: A web-based visualization tool built with React and TypeScript that connects to the Goldmane API. The combination of these components provides detailed

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PD Ports announces green hub plans to rival neighbouring Teesworks

A Teesside port operator has announced plans to build an offshore wind manufacturing hub, alongside a similar project by neighbours who had unsuccessfully attempted to sue them. PD Ports has announced plans for its Teesport Offshore Gateway, which includes developing 180 acres of land on its estate on the river Tees where it also has container and bulk terminals, as well as RORO facilities. The new development will see a brand-new 1 km long deep-water riverside quay built on the south side of the river, roughly one mile closer to the sea than similar infrastructure opened last year by neighbouring Teesworks. Teesport is the sixth-biggest port in the UK. PD Ports says the new development will be suitable “for a range of offshore manufacturers, assembly, marshalling and supply chain support services.” PD Ports chief executive Frans Calje said: “One of Teesside’s great strengths is its ability to reinvent itself in the face of change. “As the UK and the wider world turns its attention to large-scale renewable energy sources, here at PD Ports we see the opportunity – and the responsibility – to play our part by offering an offshore wind development site that is perfectly positioned to unlock the capability of our region – not only as a hub for trade and industry, but also to deliver the clean energy revolution.” The site has both planning and marine consent to extend an existing berth to develop the new 15.5m deep-water mooring, to provide access to all current and planned offshore installation vessels. High Court PD Ports’ estate is surrounded by former steelworks land, which was acquired via compulsory purchase by the public sector South Tees Development Corporation (STDC), which is chaired by Conservative mayor Ben Houchen. The surrounding site is more commonly known as Teesworks, and is marketed by Teesworks

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USA Crude Oil Inventories Drop Week on Week

U.S. commercial crude oil inventories, excluding those in the Strategic Petroleum Reserve (SPR), decreased by 2.7 million barrels from the week ending April 18 to the week ending April 25, the U.S. Energy Information Administration (EIA) highlighted in its latest weekly petroleum status report. That EIA report was released on April 30 and included data for the week ending April 25. It showed that crude oil stocks, not including the SPR, stood at 440.4 million barrels on April 25, 443.1 million barrels on April 18, and 460.9 million barrels on April 26, 2024. Crude oil in the SPR stood at 398.5 million barrels on April 25, 397.5 million barrels on April 18, and 366.3 million barrels on April 26, 2024, the report outlined. Total petroleum stocks – including crude oil, total motor gasoline, fuel ethanol, kerosene type jet fuel, distillate fuel oil, residual fuel oil, propane/propylene, and other oils – stood at 1.610 billion barrels on April 25, the report showed. Total petroleum stocks were up 5.3 million barrels week on week and up 2.8 million barrels year on year, the report revealed. “At 440.4 million barrels, U.S. crude oil inventories are about six percent below the five year average for this time of year,” the EIA noted in its latest weekly petroleum status report. “Total motor gasoline inventories decreased by four million barrels from last week and are about four percent below the five year average for this time of year. Finished gasoline and blending components inventories decreased last week,” it added. “Distillate fuel inventories increased by 0.9 million barrels last week and are about 13 percent below the five year average for this time of year. Propane/propylene inventories increased by 0.6 million barrels from last week and are eight percent below the five year average for this time

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USA, Ukraine Sign Resources Deal After Fraught Negotiations

The US and Ukraine reached a deal over access to the country’s natural resources, offering a measure of assurance to officials in Kyiv who had feared that President Donald Trump would pull back his support in peace talks with Russia. The deal will grant the US privileged access to new investment projects to develop Ukraine’s natural resources including aluminum, graphite, oil and natural gas. It’s been seen as critical to fostering Trump’s goodwill as his administration pushes to end the war that began when Russia mounted its full-scale invasion more than three years ago. “This agreement signals clearly to Russia that the Trump administration is committed to a peace process centered on a free, sovereign and prosperous Ukraine over the long term,” Treasury Secretary Scott Bessent said in a statement. “And to be clear, no state or person who financed or supplied the Russian war machine will be allowed to benefit from the reconstruction of Ukraine.” Ukrainian Economy Minister Yulia Svyrydenko said in a social media post that “together with the United States, we are creating the Fund that will attract global investment into our country.” Trump, in a NewsNation town hall on Wednesday night, said he told Ukrainian President Volodymyr Zelenskiy when they both attended the funeral of Pope Francis at the Vatican last weekend that “I was telling him that it’s a very good thing if we can produce a deal that you sign.” The signing ceremony on Wednesday concluded weeks of contentious negotiations and pulled the two countries back from a rift. Zelenskiy had come to Washington in February to sign the resources deal but went away empty-handed after he got into a testy back-and-forth with Trump and Vice President JD Vance in the Oval Office as the cameras rolled.  The accord was reached as Trump marked

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Houston-Based HYCO1 Signs MoU with Malaysia LNG for CCU Project

Houston, Texas-based HYCO1, Inc. said it has signed a memorandum of understanding (MoU) with Malaysia LNG Sdn. Bhd. (MLNG) to collaborate on a project for the potential utilization and conversion of 1 million tons per annum (mtpa) of carbon dioxide (CO2). The carbon capture and utilization (CCU) project will be located in Bintulu in Sarawak, Malaysia, the location of PETRONAS subsidiary Malaysia LNG, which is the CO2 supplier for the project. Bintulu is one of the oil and gas regions of Malaysia and has been recognized as an emerging global low-carbon industrial hub, HYCO1 said in a news release. Malaysia LNG plans to supply an initial of 1 mtpa of raw CO2 to HYCO1 for a term of 20 years, beginning no later than 2030. The CCU plant is expected to be completed by 2029, according to the release. The two companies expect the project to become one of the largest CO2 utilization projects in history, HYCO1 said. Unlike traditional efforts focused solely on CO2 capture and high-cost sequestration, the company said the project “pioneers a new approach by fully utilizing captured CO2 emissions to profitably and competitively generate valuable products”. Under the MoU, the two companies will conduct a joint feasibility study to evaluate design alternatives to produce low-cost, low-carbon syngas that best meets demand from a wide range of potential downstream syngas users. The project will use HYCO1’s CUBE technology, which uses CO2 as a primary feedstock to displace higher cost natural gas to produce equivalent industrial-grade syngas in customizable ratios of hydrogen (H2) and carbon monoxide (CO), according to the release. “This is very exciting for all stakeholders, including HYCO1, MLNG, and PETRONAS, and will benefit all Malaysians,” HYCO1 CEO Gregory Carr shared. “We approached PETRONAS and MLNG in the hopes of helping them solve their decarbonization

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INEOS to Supply LNG for Covestro Operations in Europe

INEOS Group Ltd. and Covestro AG have signed a deal for the British diversified conglomerate to supply the German major polymer materials producer with liquefied natural gas (LNG) for up to eight years from 2027. The LNG will be used at Covestro’s facilities in Europe. The Leverkusen-based company uses LNG as feedstock and fuel. “This strategic collaboration addresses the critical need for secure and diversified energy sources in Europe”, a joint statement said. David Bucknall, chief executive of INEOS’ energy business, said the partnership with Covestro will provide “reliable, cost-effective energy to help our industrial partners manage volatility and avoid shortages”. “This agreement with INEOS provides us with the long-term security we need to maintain our production and contribute to the European economy”, Covestro chief technology officer Thorsten Dreier commented. “This contract is an important building block for our transition as a company in the energy-intensive industry towards an affordable renewable energy supply”, Dreier added. Covestro, which is in the process of being acquired by Abu Dhabi National Oil Co., has set aims to achieve neutrality in terms of Scope 1 and 2 emissions by 2035 and Scope 3 by 2050. The companies did not disclose the agreed volume. INEOS ventured into the LNG sector 2022 by placing a 20-year offtake from United States producer Sempra Infrastructure. The purchase of about 1.4 million metric tons per annum (MMtpa) will be fulfilled by the under-construction Port Arthur LNG in Texas, which Sempra co-owns with ConocoPhillips and KKR. The agreement, announced December 1, 2022, provides for an additional supply of 200,000 tons a year from the second phase of the project. The two-train phase 1, which Sempra estimates to have a capital expenditure of $13 billion, has a nameplate capacity of 13 MMtpa. The first train is expected to start operation 2027,

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Beam employees ‘devastated’ as UK offshore wind technology firm makes all staff redundant

UK offshore and subsea technology firm Beam has made more than 100 staff redundant and ceased operations, just months after rebranding from Rovco. Writing on social media, Beam head of talent acquisition and crewing James Reynolds said: “Today marks the end of Beam. “As of today, all employees have been made redundant.” Reynolds said working for Beam has been “one of the most rewarding chapters of my career”. “From the offshore crews who braved tough conditions, to the robotics and computer vision engineers pushing the boundaries of innovation, to the brilliant minds in marketing, sales, and every team in between — it has been an honour to work alongside you,” he said. Formed from a merger of Rovco and Vaarst in September last year, the company had embarked on a recruitment drive in Edinburgh and Aberdeen as part of expansion efforts. According to its most recent accounts submitted to Companies House, Rovco reported a £8.1 million loss before tax in 2023, following an £8.7m loss in 2022. In 2023, Rovco had 106 employees across offices in Bristol, Edinburgh and Aberdeen. Rovco and Vaarst Beam chief executive officer Brian Allen founded the Bristol-based remotely operated vehicle (ROV) firm Rovco in 2016, before launching AI-focused sister company Vaarst in 2021. A Rovco employee. Since launching, the two firms have raised close to £50m from investors across three funding rounds in 2019, 2022 and 2024. In May last year, Rovco pledged to create over 100 new jobs in Scotland alongside expanding to the US and Asia. Backers of the Bristol-headquartered firm included Foresight Group, Equinor, and American defence sector investor IQT. Shock at Beam redundancies Since rebranding as Beam, the company unveiled additions to its offshore fleet including the Quantum EV ROV and the Xplorer autonomous surface vessel (ASV). Beam also launched its Scout

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AI’s energy appetite drives interest in nuclear power

In its new report, Deloitte said that its analysis of figures from the World Nuclear Association, the American Nuclear Society, the U.S. Department of Energy, and others showed that new nuclear power could potentially meet about 10% of the projected increase in data center demand over the next decade, assuming capacity is also significantly expanded by between 35GW and 62GW, and 30% of the expansion is earmarked for data centers. “Nuclear energy presents a potential solution for meeting some of the growing electricity demands of data centers, with its reliable and clean energy profile,” Deloitte’s report said, noting five key advantages of the technology: Reliable baseload power: Nuclear reactors operate 24/7, regardless of the weather, providing the reliable power so important to data centers. In addition, Deloitte said, “Their capacity factor, exceeding 92.5%, outperforms other sources like natural gas (56%) and renewables like wind (35%) and solar (25%).” High energy density: A small amount of fuel generates a lot of power, which minimizes the need for fuel storage and transportation. “This efficiency can translate to a smaller physical footprint and enhanced sustainability,” Deloitte said. Scalable power output: A full-sized reactor typically generates 800 megawatts (MW) or more of electricity, which accommodates the needs of large data centers. Low carbon emissions: Nuclear power plants produce virtually no greenhouse gas emissions during operation. Enhanced land use efficiency: Compared to other energy sources, nuclear power plants require relatively little land. Gartner’s Johnson echoed these advantages, and also predicted that nuclear energy, and small modular reactors (SMRs) in particular, will “provide a viable answer” to the question of what to do when electricity demand exceeds supply. They can, he said, “ensure independence from grid power fluctuations by providing dedicated on-site power for large data centers.” However, both Gartner and Deloitte also highlighted challenges in

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Nvidia AI supercluster targets agents, reasoning models on Oracle Cloud

Oracle has previously built an OCI Supercluster with 65,536 Nvidia H200 GPUs using the older Hopper GPU technology and no CPU that offers up to 260 exaflops of peak FP8 performance. According to the blog post announcing the availability, the Blackwell GPUs are available via Oracle’s public, government, and sovereign clouds, as well as in customer-owned data centers through its OCI Dedicated Region and Alloy offerings. Oracle joins a growing list of cloud providers that have made the GB200 NVL72 system available, including Google, CoreWeave and Lambda. In addition, Microsoft offers the GB200 GPUs, though they are not deployed as an NVL72 machine.

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Deep Data Center: Neoclouds as the ‘Picks and Shovels’ of the AI Gold Rush

In 1849, the discovery of gold in California ignited a frenzy, drawing prospectors from around the world in pursuit of quick fortune. While few struck it rich digging and sifting dirt, a different class of entrepreneurs quietly prospered: those who supplied the miners with the tools of the trade. From picks and shovels to tents and provisions, these providers became indispensable to the gold rush, profiting handsomely regardless of who found gold. Today, a new gold rush is underway, in pursuit of artificial intelligence. And just like the days of yore, the real fortunes may lie not in the gold itself, but in the infrastructure and equipment that enable its extraction. This is where neocloud players and chipmakers are positioned, representing themselves as the fundamental enablers of the AI revolution. Neoclouds: The Essential Tools and Implements of AI Innovation The AI boom has sparked a frenzy of innovation, investment, and competition. From generative AI applications like ChatGPT to autonomous systems and personalized recommendations, AI is rapidly transforming industries. Yet, behind every groundbreaking AI model lies an unsung hero: the infrastructure powering it. Enter neocloud providers—the specialized cloud platforms delivering the GPU horsepower that fuels AI’s meteoric rise. Let’s examine how neoclouds represent the “picks and shovels” of the AI gold rush, used for extracting the essential backbone of AI innovation. Neoclouds are emerging as indispensable players in the AI ecosystem, offering tailored solutions for compute-intensive workloads such as training large language models (LLMs) and performing high-speed inference. Unlike traditional hyperscalers (e.g., AWS, Azure, Google Cloud), which cater to a broad range of use cases, neoclouds focus exclusively on optimizing infrastructure for AI and machine learning applications. This specialization allows them to deliver superior performance at a lower cost, making them the go-to choice for startups, enterprises, and research institutions alike.

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Soluna Computing: Innovating Renewable Computing for Sustainable Data Centers

Dorothy 1A & 1B (Texas): These twin 25 MW facilities are powered by wind and serve Bitcoin hosting and mining workloads. Together, they consumed over 112,000 MWh of curtailed energy in 2024, demonstrating the impact of Soluna’s model. Dorothy 2 (Texas): Currently under construction and scheduled for energization in Q4 2025, this 48 MW site will increase Soluna’s hosting and mining capacity by 64%. Sophie (Kentucky): A 25 MW grid- and hydro-powered hosting center with a strong cost profile and consistent output. Project Grace (Texas): A 2 MW AI pilot project in development, part of Soluna’s transition into HPC and machine learning. Project Kati (Texas): With 166 MW split between Bitcoin and AI hosting, this project recently exited the Electric Reliability Council of Texas, Inc. planning phase and is expected to energize between 2025 and 2027. Project Rosa (Texas): A 187 MW flagship project co-located with wind assets, aimed at both Bitcoin and AI workloads. Land and power agreements were secured by the company in early 2025. These developments are part of the company’s broader effort to tackle both energy waste and infrastructure bottlenecks. Soluna’s behind-the-meter design enables flexibility to draw from the grid or directly from renewable sources, maximizing energy value while minimizing emissions. Competition is Fierce and a Narrower Focus Better Serves the Business In 2024, Soluna tested the waters of providing AI services via a  GPU-as-a-Service through a partnership with HPE, branded as Project Ada. The pilot aimed to rent out cloud GPUs for AI developers and LLM training. However, due to oversupply in the GPU market, delayed product rollouts (like NVIDIA’s H200), and poor demand economics, Soluna terminated the contract in March 2025. The cancellation of the contract with HPE frees up resources for Soluna to focus on what it believes the company does best: designing

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Quiet Genius at the Neutral Line: How Onics Filters Are Reshaping the Future of Data Center Power Efficiency

Why Harmonics Matter In a typical data center, nonlinear loads—like servers, UPS systems, and switch-mode power supplies—introduce harmonic distortion into the electrical system. These harmonics travel along the neutral and ground conductors, where they can increase current flow, cause overheating in transformers, and shorten the lifespan of critical power infrastructure. More subtly, they waste power through reactive losses that don’t show up on a basic utility bill, but do show up in heat, inefficiency, and increased infrastructure stress. Traditional mitigation approaches—like active harmonic filters or isolation transformers—are complex, expensive, and often require custom integration and ongoing maintenance. That’s where Onics’ solution stands out. It’s engineered as a shunt-style, low-pass filter: a passive device that sits in parallel with the circuit, quietly siphoning off problematic harmonics without interrupting operations.  The result? Lower apparent power demand, reduced electrical losses, and a quieter, more stable current environment—especially on the neutral line, where cumulative harmonic effects often peak. Behind the Numbers: Real-World Impact While the Onics filters offer a passive complement to traditional mitigation strategies, they aren’t intended to replace active harmonic filters or isolation transformers in systems that require them—they work best as a low-complexity enhancement to existing power quality designs. LoPilato says Onics has deployed its filters in mission-critical environments ranging from enterprise edge to large colos, and the data is consistent. In one example, a 6 MW data center saw a verified 9.2% reduction in energy consumption after deploying Onics filters at key electrical junctures. Another facility clocked in at 17.8% savings across its lighting and support loads, thanks in part to improved power factor and reduced transformer strain. The filters work by targeting high-frequency distortion—typically above the 3rd harmonic and up through the 35th. By passively attenuating this range, the system reduces reactive current on the neutral and helps stabilize

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New IEA Report Contrasts Energy Bottlenecks with Opportunities for AI and Data Center Growth

Artificial intelligence has, without question, crossed the threshold—from a speculative academic pursuit into the defining infrastructure of 21st-century commerce, governance, and innovation. What began in the realm of research labs and open-source models is now embedded in the capital stack of every major hyperscaler, semiconductor roadmap, and national industrial strategy. But as AI scales, so does its energy footprint. From Nvidia-powered GPU clusters to exascale training farms, the conversation across boardrooms and site selection teams has fundamentally shifted. It’s no longer just about compute density, thermal loads, or software frameworks. It’s about power—how to find it, finance it, future-proof it, and increasingly, how to generate it onsite. That refrain—“It’s all about power now”—has moved from a whisper to a full-throated consensus across the data center industry. The latest report from the International Energy Agency (IEA) gives this refrain global context and hard numbers, affirming what developers, utilities, and infrastructure operators have already sensed on the ground: the AI revolution will be throttled or propelled by the availability of scalable, sustainable, and dispatchable electricity. Why Energy Is the Real Bottleneck to Intelligence at Scale The major new IEA report puts it plainly: The transformative promise of AI will be throttled—or unleashed—by the world’s ability to deliver scalable, reliable, and sustainable electricity. The stakes are enormous. Countries that can supply the power AI craves will shape the future. Those that can’t may find themselves sidelined. Importantly, while AI poses clear challenges, the report emphasizes how it also offers solutions: from optimizing energy grids and reducing emissions in industrial sectors to enhancing energy security by supporting infrastructure defenses against cyberattacks. The report calls for immediate investments in both energy generation and grid capabilities, as well as stronger collaboration between the tech and energy sectors to avoid critical bottlenecks. The IEA advises that, for countries

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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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