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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 […]

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 autonomous underwater vehicle (AUV), focused on the offshore wind sector, in November.

But now former Beam employees have expressed shock on social media at the sudden closure of the company.

Beam lead photogrammetrist Ruth Garner wrote she was “absolutely devastated” after working for the company for more than seven years.

“I have seen the company grow from when I started as employee number 7 to over 200 incredibly talented people,” Garner said.

© Supplied by Beam
Beam’s ‘Scout’ autonomous underwater vehicle (AUV).

“As of today, everyone will be made redundant and words can’t express how gutted I feel for everyone.”

Beam senior geomatics analyst Anthony O’Reilly said the redundancies marked the “end of a really special chapter” at Beam.

“Like the rest of the team, I’ve been made redundant – and I’m honestly gutted for everyone,” he said.

O’Reilly said it felt like the team at Beam were “getting ready to kick off this season stronger than ever”.

“And then suddenly – it’s over just like that,” he said.

Aberdeen firms offer support to Beam staff

Former Beam employee Rhea Fraser wrote that she was “truly saddened” to hear that her former colleagues in Aberdeen had lost their jobs.

“These are some of the most dedicated, capable, and genuinely brilliant people I’ve had the privilege to work with,” Fraser said.

“Whether in engineering, operations, offshore, or support roles — this team consistently went above and beyond, solving tough challenges with creativity, resilience, and heart.

“The level of talent in that Aberdeen office was something special, and it’s incredibly tough to see such good people impacted by circumstances beyond their control.”

Other firms operating in the offshore energy sector have offered their support to Beam employees.

Rovtech chief executive John Polson said the company is extending applications for several Aberdeen-based roles to to give former Beam staff a chance to apply.

“Whilst Rovtech are not able to support everyone, we are keen at least to provide a fair opportunity to talented individuals in finding their next challenge,” Polson said.

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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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BP to Supply Woodside’s Louisiana LNG

Woodside Energy Group Ltd. has tapped BP PLC for the supply of up to 640 billion cubic feet of natural gas for the Louisiana LNG project on the United States Gulf Coast. The British energy giant will deliver the volumes starting 2029, a joint statement said Wednesday. “This agreement represents the first tranche of a diversified portfolio of feedgas that will support the Louisiana LNG project, enabled by the project’s extensive interconnectivity to multiple producing basins and interconnecting pipelines”, the companies said. Woodside chief executive Meg O’Neill commented, “Woodside has a long history of successful collaboration with bp. By drawing upon bp’s experience with MiQ certificates, we can access verifiably low methane intensity molecules for the Louisiana LNG project. This supports Woodside’s goals as a member in the UN Environment Program’s OGMP [Oil and Gas Methane Partnership] 2.0 initiative”. A day prior Woodside announced a positive final investment decision (FID) on the project, which it acquired as Driftwood LNG as part of its $1.2 billion takeover of Tellurian Inc. last year. “The forecast total capital expenditure for the LNG project, pipeline and management reserve is US$17.5 billion (100 percent)”, the Australian oil and gas explorer and producer said. New York City-based Stonepeak Partners LP will provide a staggered contribution of $5.7 billion in exchange for a 40 percent stake, under an agreement announced earlier this month. Louisiana LNG has an Energy Department permit to export a cumulative 1.42 trillion cubic feet a year of natural gas equivalent, or 27.6 million metric tons per annum (MMtpa) of liquefied natural gas (LNG) according to Woodside, to both FTA and non-FTA countries. The FID announced Tuesday is for phase 1, which will build 3 liquefaction trains with a collective capacity of 16.5 MMtpa, Louisiana has already been under construction by Reston, Virginia-based Bechtel Corp.

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IPR Announces ‘Significant Hydrocarbon Discovery’ in Egypt’s Western Desert

In a release sent to Rigzone by the IPR Energy Group (IPR) team recently, the company announced “another significant hydrocarbon discovery” in the Yidma field, which is situated in the Yidma-Alamein concession in Egypt’s Western Desert. “The well was drilled to a total depth of 8,910 feet, targeting untapped reserves following recent successes in the adjacent Alamein field,” IPR said in the release, adding that the well encountered “a substantial oil column of 73 feet [of] hydrocarbons beneath a tight stratigraphic barrier within the Alamein Dolomite formation”.  “A highly porous dolostone interval was perforated, yielding initial rates of 1,926 barrels of oil per day, stabilizing at a rate of 1,250 barrels of oil per day with high quality light oil at 43°API, with minimal water cut (0.5 percent BS&W) through a 64/64-inch choke,” IPR noted in the release. The company highlighted in the release that the well is currently producing under natural flow and revealed that output is expected to reach 1,500 barrels of oil per day following the installation of an electric submersible pump. “This well’s success, and previous successes last year within the concession, adds additional reserves and production wedges as a result of IPR employing new conceptional exploration and redevelopment plans to all mature and legacy field activities in the concession,” IPR stated in the release. The company pointed out that a follow up well, Yidma-14X, is under final drilling, where IPR said “similar completion practices will be used for the deeper exploration target, Alam El Bueib”. An IPR spokesperson said in the release, “this new discovery again emphasizes the outstanding exceptional value of the untapped potential of the Yidma-Alamein concession that has been produced for over 60 years and still exhibits sizable value and potential that can be accessed using newly improved exploitation methodologies, upgrading production technology,

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£250m Liverpool Bay CCS contract set to create 600 jobs

Eni has awarded a £250 million contract to construction firm United Living Group to deliver CO2 transportation and storage infrastructure for its Liverpool Bay carbon capture and storage (CCS) project. United Living, a subsidiary of American private equity group Apollo, said it expects to generate an additional 300 roles within the company as part of the contract. The deal with Italian energy firm Eni will also support an additional 300 roles in the immediate supply chain. United Living chairman and chief executive Neil Armstrong said the CCS project will deliver “huge benefits” to the North West of England. “We are acutely aware of the pressing need to transition to a lower-carbon future and see CCS as a crucial element to the UK achieving its net zero target,” he said. “This project will also deliver huge benefits to the North West region, bringing major investment in local skills development, employment opportunities, and strong growth prospects for local businesses.” Liverpool Bay CCS Eni’s offshore CCS plans form the focal point for the wider £2 billion HyNet North West industrial decarbonisation cluster. The plan involves capturing emissions from industrial emitters around Liverpool and Manchester before transporting and storing the CO2 offshore underneath the Irish Sea. United Living said the three-year engineering, procurement, installation and commissioning contract with Eni relates to the delivery of the HyNet CO2 pipeline. © Supplied by HyNetEni’s Point of Ayr gas terminal in north Wales, which will form part of the Liverpool Bay CCS project. The project involves the construction of 21 miles of new pipeline alongside repurposing 15 miles of existing infrastructure for CO2 transportation. The pipeline will travel from Ince in Cheshire to Eni’s Point of Ayr gas terminal in north Wales. Eni secured planning permission from the UK government for the Liverpool Bay pipeline project in

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Will tariffs help or hurt the US energy storage industry? It’s complicated, experts say

President Donald Trump’s combative, chaotic trade policy is already causing problems for the United States’ booming energy storage industry as stock analysts sour on import-reliant OEMs and project developers defer investment decisions. Absent more clarity on longer-term import duties, analysts and corporate insiders say the sector’s challenges could deepen this year and next before global supply chains rebalance. “We are in a totally different world than last month,” said Ravi Manghani, senior director of strategic sourcing at Anza Renewables. The most visible effect of the “Liberation Day” tariffs, which Trump has since dialed back for most countries while keeping triple-digit levies on imports from China, could be a dramatic reduction in merchant energy storage development in key markets like Texas, Manghani said. Though project developers with committed offtake agreements have the option to renegotiate pricing with their customers, merchant developers looking to break ground in 2025 may simply wait until next year — and hope for a resolution in the meantime. Anecdotally, that’s already happening, he said. But despite the near-term turmoil and a global supply chain that requires even most U.S.-based manufacturers to source inputs from abroad, storage insiders tell Utility Dive that they remain bullish on the sector’s prospects. Some expect protectionist policies to boost U.S. battery manufacturing in the long run and — maybe — provide an opening for lithium-ion alternatives. ‘We are watching this movie for the first time’ The average U.S. tariff on Chinese imports is now 124.1%, six times higher than at the start of Trump’s second term, according to the Peterson Institute of International Economics. That’s enough to push the U.S. deployment cost of a four-hour lithium-ion battery energy storage system above 2023 levels, said Isshu Kikuma, energy storage analyst for Bloomberg NEF. “We haven’t updated our installation forecasts, but we expect annual

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CNOOC Ltd Quarterly Profit Down YoY on Lower Prices

CNOOC Ltd. has reported CNY 36.56 billion ($4.89 billion) in net income attributable to shareholders for the first quarter, down from CNY 39.7 billion for the same three-month period in 2024 as weaker oil prices offset higher production. The oil and gas explorer and producer, majority-owned by China National Offshore Oil Corp., produced 188.8 million barrels of oil equivalent (MMboe) in the January-March 2025 period, up 4.8 percent year-on-year. Chinese output rose 6.2 percent by prior-year comparison to 130.8 MMboe. Overseas production grew 1.9 percent to 58 MMboe, it said in an online statement. CNOOC Ltd., which calls itself the biggest producer of oil and gas offshore China, announced five upstream start-ups in Chinese waters in the first quarter. Three of the projects are in the South China Sea: the Dongfang 29-1 field, the Panyu 11-12/10-1/10-2 Oilfield Adjustment Joint Development Project and the Wenchang 19-1 Oilfield Phase 2 Project. The other two are in the Bohai Sea: the Bozhong 26-6 and Luda 5-2 North fields. Abroad, the sixth development in the Buzios oilfield in Brazil’s offshore Santos Basin came online. CNOOC Ltd. holds a 7.34 percent stake in the field through CNOOC Petroleum Brasil Ltda.  “The Company made 2 new discoveries and successfully appraised 14 oil and gas structures”, CNOOC Ltd. said. “Among them, the proved in-place volume of Huizhou 19-6 oilfield has exceeded a hundred million tons of oil equivalent. Weizhou 10-5 demonstrated vast exploration prospects of the buried hills in Beibu Gulf Basin. Suizhong 36-1 South has been successfully appraised and is expected to become a medium-sized oilfield”. While production increased, benchmark Brent oil prices fell 8.3 percent year-on-year, CNOOC Ltd. said. CNOOC Ltd. confirmed its parent “plans to increase its shareholdings in A shares and Hong Kong shares of the Company, by an amount of not less than RMB2

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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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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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