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Corning increased solar Michigan facility investment to $1.5B

Dive Brief: Corning Inc. announced plans on Tuesday to invest another $600 million in its upcoming solar component facility in Richland Township, Michigan, aiming to accelerate advanced manufacturing operations. The additional funds will create 400 more jobs, bringing the total to 1,500 roles. The money builds on its February 2024 announcement through a $900 million investment. […]

Dive Brief:

  • Corning Inc. announced plans on Tuesday to invest another $600 million in its upcoming solar component facility in Richland Township, Michigan, aiming to accelerate advanced manufacturing operations.
  • The additional funds will create 400 more jobs, bringing the total to 1,500 roles. The money builds on its February 2024 announcement through a $900 million investment.
  • Production at the now $1.5 billion factory, which will be operated under Corning’s subsidiary Solar Technology, is expected to come online in the second half of the year, Chairman and CEO Wendell Weeks said in an earnings call Tuesday.

Dive Insight:

The solar industry experienced unprecedented growth in domestic capacity in 2024, accounting for 66% of the energy-generating segment space — which includes wind, natural gas and coal — in the United States, according to a U.S. solar market insight report from Wood Mackenzie and the Solar Energy Industries Association.  

The increase was due to investments in capacity that were driven by the Inflation Reduction Act, as well as more resilient supply chains and growing interest from utility and power companies, the report stated. 

Corning is experiencing increased demand for its solar products as well, which Weeks said makes the company’s solar assets “even more valuable.” Corning sold out its solar wafer capacity for the year, including from the Michigan facility under construction, EVP and CFO Edward Schlesinger said in the earnings call.

Furthermore, the company sold 80% of its planned capacity for the next five years, Weeks said last month at the company’s investor event.

Corning also launched a new solar market access platform, which it expects to generate $2.5 billion in revenue by 2028, Weeks said last month at the company’s investor event.

The company expects to see a “positive incremental impact” on its sales, profits and cash flow in the second half of the year, Schlesinger said in the earnings call.

“We are commercializing our new Made in America ingot and wafer products this year,” Schlesinger said. “We have committed customers for 100% of our capacity available in 2025 and 80% of our capacity for the next five years.”

While other companies and industries are adjusting their earnings forecasts for the year due to recent tariffs, the current levies are not significant for Corning due to stronger demand for their U.S.-made products, Weeks said. 

“Our customers in optical communications, in solar, in mobile consumer electronics, and in life sciences are seeking to leverage our U.S. manufacturing footprint,” Weeks said. “And we expect to close and potentially announce commercial agreements in the coming months.”

Corning has taken further action to keep production in the U.S. and mitigate the impact of tariffs.

Last month, the company announced a partnership with solar component manufacturers Suniva and Heliene to develop a U.S. supply chain, producing solar modules domestically made with polysilicon, wafers and cells. Corning will supply the wafers while Hemlock Semiconductor, its joint venture with Japan-based Shin-Etsu Handotai, will supply extremely pure polysilicon from its Hemlock, Michigan, facilities.

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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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Is $100 Oil Possible In 2025?

Is $100 oil possible this year? That was the question Rigzone asked Carole Nakhle, the Chief Executive Officer of London based consultancy Crystol Energy. Responding to the question, Nakhle said “anything is possible”, but added that “the likelihood of a $100 oil price is very slim under existing market conditions”. “Unless we have a major disruption to supply, I don’t see how that is possible, especially when demand is not booming and unlikely to suddenly do so this year,” Nakhle told Rigzone. In a research note sent to Rigzone earlier this week by Natasha Kaneva, the 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”. “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,” the J.P. Morgan analysts highlighted in that note. “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. 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. 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.

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Proserv unveils PhaseCatcher: A revolutionary multi-phase sampling system

Proserv, a global leader in controls technology, has proudly announced the launch of its groundbreaking PhaseCatcher Multi-Phase Sampling System. This innovative system addresses longstanding challenges in multiphase fluid sampling by ensuring the collection of sufficient individual phase volumes with unparalleled precision and safety.​   About partnership content Some Energy Voice online content is funded by outside parties. The revenue from this helps to sustain our independent news gathering. You will always know if you are reading paid-for material as it will be clearly labelled as “Partnership” on the site and on social media channels, This can take two different forms. “Presented by”This means the content has been paid for and produced by the named advertiser. “In partnership with”This means the content has been paid for and approved by the named advertiser but written and edited by our own commercial content team. The PhaseCatcher system incorporates patented technology that eliminates venting and the release of toxic fluids into the atmosphere, significantly enhancing operator safety and environmental compliance. By maintaining samples at flowline conditions, PhaseCatcher preserves the integrity of the sample’s chemistry, providing accurate data essential for calibrating multiphase flow meters without relying on potentially erroneous PVT modelling.​ A key feature of the PhaseCatcher is the integration of Digital Guided Wave Radar Technology into Proserv’s piston sample cylinders. This advancement allows operators to verify that sufficient volumes of individual phases – oil, gas, and water – are collected during sampling. Additionally, the system enables sub-sampling of individual phases directly from the multiphase flowline, streamlining the sampling process and reducing manual handling.​ The inception of the PhaseCatcher system can be traced back to an Innovation and Design Thinking workshop, part of a postgraduate diploma program. During this workshop, Richard Barr, technical assurance & BD manager at Proserv, inspired by techniques taught at MIT

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OPEC Output Down in April

OPEC’s crude production fell last month despite the group’s long-awaited plans to increase, with much of the reduction stemming from looming US sanctions on Venezuela. Output from the Organization of the Petroleum Exporting Countries shrank by 200,000 barrels a day in April to 27.24 million a day, according to a Bloomberg survey. Venezuela accounted for about half of the decline as international producers such as Chevron Corp. wind down operations while President Donald Trump’s administration tightens sanctions.  It was less clear, though, why other OPEC members such as Saudi Arabia and the United Arab Emirates didn’t take advantage of the group’s agreement to finally bolster supplies. OPEC and its allies had resolved to start gradually reviving halted output in April, after delaying the plans several times for fear of undermining crude prices. Nonetheless, the United Arab Emirates – which had even secured a special carve-out to make extra increases – instead curtailed output by 80,000 barrels a day to an average of 3.25 million a day, according to the survey. Riyadh added just 20,000 barrels a day, pumping 8.97 million, only part of the agreed amount. The countries may have been trying to honor pledges to restrict output in order to compensate for previous overproduction, though the biggest quota offenders – the UAE and Iraq – remained well above their designated targets. OPEC’s surprising restraint throws more uncertainty onto what the cartel and its partners will decide on Monday, when they’re due to hold a video-conference to review production levels for June. Last month, Saudi Arabia stunned crude traders by steering the group to accelerate output increases in May, unleashing a hike of 411,000 barrels a day that was triple the originally scheduled amount. Delegates said the move was intended to punish errant OPEC+ nations like Iraq and Kazakhstan, though Riyadh may also have been

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Equinor Sells Majority Stake in Brazil Field for $3.5B

Equinor ASA announced Friday a deal to divest its 60 percent operating stake in the producing Peregrino field offshore Brazil to Prio SA for $3.5 billion. Having acquired Sinochem Holdings Corp. Ltd.’s 40 percent ownership last year, Prio would become the sole owner. Closing is subject to regulatory approvals. No expected date of completion has been given. The agreement was signed between subsidiaries Equinor Brasil Energia Ltda. and Prio Tigris Ltda. Put onstream 2011, Peregrino’s productive life has been extended to 2040 with the startup of phase 2 in 2022. The heavy oil field produces about 110,000 barrels a day. Peregrino produced 250 million barrels from start-up to 2024, according to information on Equinor’s website. Located in the Campos Basin, east of Rio de Janeiro, the field has a floating production storage and offloading platform. “Brazil will continue to be a core country for Equinor, as we focus on starting up the Bacalhau field and continue progressing the Raia gas project”, Philippe Mathieu, Equinor executive vice president for exploration and production international, said in an online statement. “With these two operated projects and our partnership in Roncador [producing field] our equity production in Brazil will be close to 200,000 barrels per day by 2030. “This deal is part of Equinor’s ongoing effort to high-grade its international portfolio through asset divestments and acquisitions. We continue to see growth potential and opportunities to extend the longevity of our international oil and gas portfolio, also in Brazil”. The Norwegian majority state-owned energy major said, “PRIO, Brazil’s largest independent oil and gas company, will pay a consideration of USD 3.35 billion and a maximum of USD 150 million in interest to Equinor for the transaction”. The transaction will be executed in two stages. Prio will initially purchase 40 percent along with the operatorship for

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Shell latest supermajor to announce earnings growth in first quarter

Shell saw its adjusted earnings grow in the first quarter of this year, hitting $5.6 billion compared to $3.6bn in the fourth quarter of 2024. According to its first quarter results, the increase was driven by strong LNG trading and optimising the company’s capabilities. “Shell delivered another solid set of results in the first quarter of 2025,” Shell CEO Wael Sawan said. “We further strengthened our leading LNG business by completing the acquisition of Pavilion Energy, and high-graded our portfolio with the completion of the Nigeria onshore and the Singapore Energy and Chemicals Park divestments.” The company’s oil and gas production was largely flat quarter on quarter, coming in at around 1.3m barrels per day and 3mcf per day respectively. However, the group added that adjusted earnings were higher than in the fourth quarter of 2024, reflecting lower depreciation following year-end reserves updates and lower well write-offs, partially offset by lower sales volumes. Shell’s performance also reflects the restart of the Penguins field in the UK North Sea in February 2025. The field was upgraded to use a modern floating, production, storage and offloading (FPSO) facility (Shell 50%, operator; NEO Energy 50%). The previous export route for this field was via the Brent Charlie platform, which ceased production in 2021 and is being decommissioned. Shell added that it expects production to be in the region of 1.56-1.76m boe per day in the second quarter of this year. For renewables, power sales were also flat, coming in at 76TWh across both quarter one 2025 and quarter four 2024. However, Shell increased its operating capacity from 3.4GW to 3.5GW. Again, the company saw its adjusted earnings increase over the previous quarter due to higher seasonal demand and volatility driving higher trading and optimisation, particularly in the Americas. Shell also announced a $3.5bn share

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Swinney and Findlay rebuked during Holyrood clashes over energy

First minister John Swinney and his Scottish Conservative rival were both rebuked by Holyrood’s presiding officer as they clashed over the future of Scotland’s energy supply. Conservative leader Russell Findlay branded the Scottish government’s opposition to new nuclear power “nonsensical, impractical and irresponsible” as he said blocking such developments in Scotland is an act of “self-harm”. He also hit out at Swinney over the SNP’s stance on new oil and gas developments, and attacked him for having been in government with the Scottish Greens – who he branded “dangerous fanatics” and “dangerous cranks”. That prompted presiding officer Alison Johnstone to urge Findlay “to treat other members with courtesy and respect”. She issued a similar warning to the first minister when he went on to accuse his Tory rival of “barefaced dishonesty”. The attack came as Swinney told MSPs during First Minister’s Questions that Findlay had voted for climate change targets at Holyrood last November, but this year had described Conservative UK leader Kemi Badenoch’s opposition to net zero targets as “refreshingly honest”. Findlay claimed opposition to new oil and gas developments would “result in higher energy prices and greater reliance on foreign imports”. He told Holyrood: “The SNP used to say it’s Scotland oil, now they just want to just stop oil.” With a new poll on Thursday showing more than half (52%) of those who voted for the SNP in 2021 support nuclear power being included in Scotland’s energy mix, despite the party’s longstanding opposition to it, Findlay then said: “John Swinney is intent on inflicting self-harm on Scotland by blocking all new developments. “Nuclear energy is green and clean, it produces a reliable and steady supply, and it would bring down people’s bills.” However the first minister insisted: “Nuclear power will not bring down the energy prices of

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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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