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Bullish Weather Shift Sparks NatGas Revival

In an EBW Analytics Group report sent to Rigzone by the EBW team on Monday, Eli Rubin, an energy analyst at the company, noted that a “bullish weather shift spark[ed]… [a] natural gas revival”. “After testing as low as $2.893 per million British thermal units (MMBtu) intraday Friday – and with weekend Henry Hub spot […]

In an EBW Analytics Group report sent to Rigzone by the EBW team on Monday, Eli Rubin, an energy analyst at the company, noted that a “bullish weather shift spark[ed]… [a] natural gas revival”.

“After testing as low as $2.893 per million British thermal units (MMBtu) intraday Friday – and with weekend Henry Hub spot prices falling to $2.66 [per MMBtu] – a cooler weekend weather shift has revived bullish fortunes for the November contract,” Rubin said in the report.

“Further, weekly average LNG was at a record high over the weekend and natural gas production readings slumped in the Permian and Marcellus,” Rubin added.

In the report, Rubin noted that “some meteorologists reflect a larger heating demand gain, helping to explain the pop at the front of the curve”.

“Cooler weather (the next three EIA [U.S. Energy Information Administration] weeks are expected to be below long-term normals) slashes risks of bearish outcomes akin to early November 2024,” Rubin said.

The energy analyst stated in the report that “shorts covering some positions likely underlies the market reaction higher”.

“Still, lofty storage, mild weather, and returning production remain,” Rubin warned in the report.

“The $3.22-3.24 per MMBtu level is a key technical battleground, however, and if weather models continue colder or bulls lift November above key resistance, extended near-term upside potential may occur,” he added.

EBW’s report highlighted that the November natural gas contract closed at $3.008 per MMBtu on Friday. This was up 7.0 cents, or 2.4 percent, from Thursday’s close, the report outlined.

In a separate EBW report sent to Rigzone by the EBW team on Friday, Rubin warned that “near to medium term natural gas weakness extend[ed]”.

“Yesterday’s [Thursday] EIA-reported 80 billion cubic foot injection confirmed a lofty storage trajectory, driving the November 2025 natural gas contract to post its first sub-$3.00 per MMBtu close in four years,” Rubin said in that report, which highlighted that the November natural gas contract closed at $2.938 per MMBtu on Thursday. This was down 7.8 cents, or 2.6 percent, from Wednesday’s close, the report outlined.

“The South Central continues to pare storage surpluses amid constructive regional fundamentals, but technicals indicating further bearish risk and a weak seasonal backdrop suggest downside,” Rubin noted in this report.

“Late-season tropical activity may emerge next week,” he added.

In that report, Rubin warned that “continued mild weather into Week 3 is primed to extend the injection season into November.”

“Estimates of current storage are near 3,800 Bcf, with another 4-5 weekly builds ahead. Seasonally suppressed supply is likely to rebound – offering another bearish medium-term headwind,” he said.

“Historically, storage peaking above 3,900 Bcf has translated to November pricing sub- $2.75 per MMBtu. We remain bullish on long-term fundamentals, but filling storage, mild weather and rebounding production are likely to weigh on pricing near-term,” Rubin went on to state in that report.

In its latest weekly natural gas storage report, which was released on October 16 and includes data for the week ending October 10, the EIA said working gas in storage was 3,721 Bcf as of October 10, according to its estimates.

“This represents a net increase of 80 Bcf from the previous week,” the EIA highlighted in its report.

“Stocks were 26 Bcf higher than last year at this time and 154 Bcf above the five-year average of 3,567 Bcf. At 3,721 Bcf, total working gas is within the five-year historical range,” it added.

The EIA’s next weekly natural gas storage report is scheduled to be released on October 23. It will include date for the week ending October 17.

In a BMI report sent to Rigzone by the Fitch Group on October 10, BMI projected that the front month Henry Hub natural gas price will average $3.50 per MMBtu in 2025 and $3.80 per MMBtu in 2026.

In a report sent to Rigzone by the Standard Chartered team on October 8, Standard Chartered forecast that the NYMEX basis nearby future Henry Hub natural gas price will average $3.55 per MMBtu this year and $4.03 per MMBtu next year.

In its latest short term energy outlook (STEO), which was released on October 7, the EIA lowered its Henry Hub natural gas spot price forecast for both 2025 and 2026.

According to that STEO, the EIA sees the commodity coming in at $3.42 per MMBtu in 2025 and $3.94 per MMBtu in 2026. In its previous STEO, which was released in September, the EIA projected that the Henry Hub natural gas spot price would average $3.52 per MMBtu this year and $4.28 per MMBtu next year.

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Wi-Fi 8 is coming and it’s going to make AI a lot faster

Traditional Wi-Fi optimizes for 90/10 download-to-upload ratios. AI applications push toward 50/50 symmetry. Voice assistants, edge AI processing and sensor data all require consistent uplink capacity. “AI traffic looks different,” Szymanski explained. “It’s increasingly symmetric, with heavy uplink demands from these edge devices. These devices are pushing all this data

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NextDecade names Mott as interim CFO

NextDecade Corp. has appointed company senior vice-president Michael (Mike) Mott as interim chief financial officer, effective Oct. 20, 2025. Mott will take over from Brent Wahl, who resigns from the company as chief financial officer, effective Oct. 20. Wahl was named chief financial officer of NextDecade in 2021 after having served

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As cyber threats grow, utilities say lapsed information-sharing law stymies security

Dive Brief: Amid rising threats to operational systems and a chaotic geopolitical environment, electric utilities want Congress to cleanly reauthorize the Cybersecurity Information Sharing Act of 2015, which allows for greater information sharing between the power sector and federal government. The law lapsed October 1. A temporary extension was included in the government funding bill, which failed and resulted in the current shutdown. A bipartisan Senate bill could bring CISA’s protections back into force. It is vital that utilities are able to share threat information as the risks are rising, said Kristine Martz, a principal product advisor at cybersecurity firm Dragos. “Adversaries are becoming aware of the impact that they can achieve against easy to access industrial control systems,” or ICS, she said Friday at a conference hosted by Columbia University’s School of International and Public Affairs. Dive Insight: “We’ve seen a consistent rise in threat activity over the years,” Martz said, noting new threat adversaries are focused on operational technology and ICS environments where they can impact the delivery of services. “They get in through these internet-facing devices and just live off the land for a long time to perform reconnaissance, pulling down things like your GIS data, your network maps,” Martz said. “Living off the land” refers to cyber intruders using legitimate network tools to cover their presence and gain information. While utility regulations like the North American Electric Reliability Corp.’s Critical Infrastructure Protection standards have helped create a baseline of security and shored up obvious weaknesses, Dragos has identified new threat groups developing operational and ICS-specific malware which take advantage of the extensive knowledge of utility work environments that hackers can gain from their research, Martz said. Given the threat, and in an environment of rapidly growing electricity demand, it is vital that electric utilities are able to share information

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Residential electricity prices surge ahead of C&I rates: Berkeley Lab

Residential electricity retail prices rose more rapidly than commercial and industrial prices from 2019 to 2024, according to a study released last week by the Lawrence Berkeley National Laboratory. Nationwide, average residential prices jumped 27% to 16.5 cents/kWh in the five years since 2019 while average commercial prices increased 19% to 12.8 cents/kWh and industrial prices climbed 19% to 8.1 cents/kWh, the LBNL researchers said in a summary of the report examining factors that affect electricity prices. Overall retail electricity prices fell in 37 states from 2019 to 2024 when adjusting for inflation, the researchers said. Driven by wildfire-related costs, inflation-adjusted electricity prices surged 6.2% in California — the most among states, according to the report. Real prices also increased in the Northeast in the five-year period. Optional Caption Retrieved from Lawrence Berkeley National Laboratory. Last year, retail electricity prices ranged from less than 8 cents/kWh in North Dakota to more than 27 cents/kWh in California, according to the LBNL report. The LBNL researchers found that state energy policies can contribute to rising electricity prices. “States with the largest price increases in recent years typically featured shrinking customer loads — partially linked to growth in net metered behind-the-meter solar — and had [renewable portfolio standard] programs in concert with relatively costly incremental renewable energy supplies,” the researchers said. States with RPS programs that called for new supplies in the last five years increased retail electricity prices by about 0.4 cents/kWh, according to the study. However, electricity prices appear unaffected by “market-based” utility-scale renewable energy projects built outside of RPS mandates, the LBNL researchers found. Also, while behind-the-meter solar cut net electricity load in some states — by more than 5% in California, Maine and Rhode Island, for example — it is linked to higher electricity prices, according to the study.

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Oil’s Billion Barrel Sea Surplus Expands

A flotilla of crude oil on the world’s oceans expanded to a fresh high as producer nations keep adding barrels and the tankers sail further for deliveries. A total of 1.24 billion barrels of crude and condensate, a light form of oil recovered from gas fields, was moving on tankers in the week to Oct. 17, according to data from analytics firm Vortexa. That was up from a revised 1.22 billion barrels a week earlier.  Oil traders warned last week that a long-anticipated surplus is finally starting to materialize and the amount of cargo at sea is one indicator of that.  Production is rising from members of the OPEC+ group of nations, which are unwinding earlier output cuts — as well as countries outside the group, predominantly in the Americas, where Guyana recently started pumping from a new offshore field and US output hit a new high. The build-up comes at a time when demand growth is slowing, with forecasters predicting a surplus that could rise to as much as 4 million barrels a day in the early months of next year. Oil prices fell 0.8% on Monday, taking their decline so far this year to 18%. Eight members of the Organization of the Petroleum Exporting Countries and their allies, which together make up the OPEC+ grouping, raised their collective production target by almost 2.5 million barrels a day between March and September. While increases in actual production have lagged, the group still added more than 2 million barrels a day to supply over that period. Vortexa’s figures exclude oil in floating storage, defined as being on vessels that have been stationary for at least seven days. The biggest increases have come from Saudi Arabia, the United Arab Emirates and Russia, whose combined output has risen by 1.77 million barrels a day.

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Bullish Weather Shift Sparks NatGas Revival

In an EBW Analytics Group report sent to Rigzone by the EBW team on Monday, Eli Rubin, an energy analyst at the company, noted that a “bullish weather shift spark[ed]… [a] natural gas revival”. “After testing as low as $2.893 per million British thermal units (MMBtu) intraday Friday – and with weekend Henry Hub spot prices falling to $2.66 [per MMBtu] – a cooler weekend weather shift has revived bullish fortunes for the November contract,” Rubin said in the report. “Further, weekly average LNG was at a record high over the weekend and natural gas production readings slumped in the Permian and Marcellus,” Rubin added. In the report, Rubin noted that “some meteorologists reflect a larger heating demand gain, helping to explain the pop at the front of the curve”. “Cooler weather (the next three EIA [U.S. Energy Information Administration] weeks are expected to be below long-term normals) slashes risks of bearish outcomes akin to early November 2024,” Rubin said. The energy analyst stated in the report that “shorts covering some positions likely underlies the market reaction higher”. “Still, lofty storage, mild weather, and returning production remain,” Rubin warned in the report. “The $3.22-3.24 per MMBtu level is a key technical battleground, however, and if weather models continue colder or bulls lift November above key resistance, extended near-term upside potential may occur,” he added. EBW’s report highlighted that the November natural gas contract closed at $3.008 per MMBtu on Friday. This was up 7.0 cents, or 2.4 percent, from Thursday’s close, the report outlined. In a separate EBW report sent to Rigzone by the EBW team on Friday, Rubin warned that “near to medium term natural gas weakness extend[ed]”. “Yesterday’s [Thursday] EIA-reported 80 billion cubic foot injection confirmed a lofty storage trajectory, driving the November 2025 natural gas contract to

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Analysts Talk Oil and Gas Bust Cycle

Is the oil and gas market currently in a bust cycle? That’s the question Rigzone asked James Davis, Director of Short-Term Global Oil Service and Head of Upstream Oil at FGE London, in an exclusive interview recently. In response, Davis told Rigzone, “crude oil prices have fallen year on year, and as the supply surplus continues, as evidenced by reported stockbuilds, prices will fall further”. “We’re already seeing evidence of oil companies cutting investment as a result of lower prices,” he added. “If these are the qualities of what you want to call a bust cycle, then, we’re in a bust cycle,” he said. In the interview, Davis highlighted to Rigzone that, for producers, $60 per barrel oil today doesn’t go as far as it did back in 2019. “For the average tight oil producer, $60 per barrel today gives you very little free cash flow,” he said. “However, in 2019, the average tight oil producer might have realized $10-15 per barrel of free cash flow at $60 per barrel,” he added. “While operating expenditure and capital expenditure have crept up, it is weaker gas prices that have had the biggest impact on cost exposure,” Davis pointed out. “Nonetheless operating margins are not as good at the current price deck as they would have been six years ago,” he noted. When asked if this bust cycle is going to negatively affect future production, Davis told Rigzone that FGE is already seeing evidence that the low oil price environment is impacting oil output, particularly in the United States. “While low cost producers (oil majors and international oil companies) have managed to grow output this year, the smaller, high cost producers have seen their output slump by around 200-300,000 barrels per day,” he said. “We expect more declines from high cost producers

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JERA, Hawai’i Partner for Energy Transition

JERA Co Inc and the Hawaiian government have signed a collaboration agreement “focusing on fuel diversity and developing pathways toward decarbonization”, the Japanese integrated power company said. The “strategic partnering agreement” between JERA and the governor’s office “is designed to help realize the Hawai’i State Energy Office’s ‘Alternative Fuels, Repowering and Energy Transition Study’, published in January 2025, which concluded in the short term that the state should accelerate its shift away from oil by using affordable and reliable alternative fuels, including natural gas”, JERA said in a statement on its website. Governor Josh Green said in the statement, “By collaborating with JERA – Japan’s largest power producer and a recognized global leader in energy transition – we are gaining access to valuable expertise and experience that will help accelerate our decarbonization journey while improving reliability and affordability for our residents”. JERA global chief executive Yukio Kani said, “As island communities, Japan and Hawai’i share similar challenges and opportunities in pursuing affordability, stability and sustainability. By working together, we aim to develop practical, innovative solutions that strengthen energy resilience and reduce costs for the people of Hawai’i”. The company added, “JERA brings extensive experience in the development and operation of large-scale, reliable energy infrastructure worldwide, with a growing focus on low-carbon fuels, hydrogen, ammonia and renewable energy integration”. In the study by the Hawai’i State Energy Office (HSEO), the agency proposed a new power plant that would run on natural gas supplied by a floating storage regasification unit. “LNG emerged as the near-term fuel with the potential to cost-effectively reduce the state’s greenhouse gas emissions during the transition to economywide decarbonization in 2045, but more analysis is needed to quantify a range of potential benefits and to identify how those benefits can be maximized to residents at the appropriate level of infrastructure buildout”,

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Roundup: Digital Realty Marks Major Milestones in AI, Quantum Computing, Data Center Development

Key features of the DRIL include: • High-Density AI and HPC Testing. The DRIL supports AI and high-performance computing (HPC) workloads with high-density colocation, accommodating workloads up to 150 kW per cabinet. • AI Infrastructure Optimization. The ePlus AI Experience Center lets businesses explore AI-specific power, cooling, and GPU resource requirements in an environment optimized for AI infrastructure. • Hybrid Cloud Validation. With direct cloud connectivity, users can refine hybrid strategies and onboard through cross connects. • AI Workload Orchestration. Customers can orchestrate AI workloads across Digital Realty’s Private AI Exchange (AIPx) for seamless integration and performance. • Latency Testing Across Locations. Enterprises can test latency scenarios for seamless performance across multiple locations and cloud destinations. The firm’s Northern Virginia campus is the primary DRIL location, but companies can also test latency scenarios between there and other remote locations. DRIL rollout to other global locations is already in progress, and London is scheduled to go live in early 2026. Digital Realty, Redeployable Launch Pathway for Veteran Technical Careers As new data centers are created, they need talented workers. To that end, Digital Realty has partnered with Redeployable, an AI-powered career platform for veterans, to expand access to technical careers in the United Kingdom and United States. The collaboration launched a Site Engineer Pathway, now live on the Redeployable platform. It helps veterans explore, prepare for, and transition into roles at Digital Realty. Nearly half of veterans leave their first civilian role within a year, often due to unclear expectations, poor skill translation, and limited support, according to Redeployable. The Site Engineer Pathway uses real-world relevance and replaces vague job descriptions with an experience-based view of technical careers. Veterans can engage in scenario-based “job drops” simulating real facility and system challenges so they can assess their fit for the role before applying. They

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BlackRock’s $40B data center deal opens a new infrastructure battle for CIOs

Everest Group partner Yugal Joshi said, “CIOs are under significant pressure to clearly define their data center strategy beyond traditional one-off leases. Given most of the capacity is built and delivered by fewer players, CIOs need to prepare for a higher-price market with limited negotiation power.” The numbers bear this out. Global data center costs rose to $217.30 per kilowatt per month in the first quarter of 2025, with major markets seeing increases of 17-18% year-over-year, according to CBRE. Those prices are at levels last seen in 2011-2012, and analysts expect them to remain elevated. Gogia said, “The combination of AI demand, energy scarcity, and environmental regulation has permanently rewritten the economics of running workloads. Prices that once looked extraordinary have now become baseline.” Hyperscalers get first dibs The consolidation problem is compounded by the way capacity is being allocated. North America’s data center vacancy rate fell to 1.6% in the first half of 2025, with Northern Virginia posting just 0.76%, according to CBRE Research. More troubling for enterprises: 74.3% of capacity currently under construction is already preleased, primarily to cloud and AI providers. “The global compute market is no longer governed by open supply and demand,” Gogia said. “It is increasingly shaped by pre-emptive control. Hyperscalers and AI majors are reserving capacity years in advance, often before the first trench for power is dug. This has quietly created a two-tier world: one in which large players guarantee their future and everyone else competes for what remains.” That dynamic forces enterprises into longer planning cycles. “CIOs must forecast their infrastructure requirements with the same precision they apply to financial budgets and talent pipelines,” Gogia said. “The planning horizon must stretch to three or even five years.”

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Nvidia, Infineon partner for AI data center power overhaul

The solution is to convert power right at the GPU on the server board and to upgrade the backbone to 800 volts. That should squeeze more reliability and efficiency out of the system while dealing with the heat, Infineon stated.   Nvidia announced the 800 Volt direct current (VDC) power architecture at Computex 2025 as a much-needed replacement for the 54 Volt backbone currently in use, which is overwhelmed by the demand of AI processors and increasingly prone to failure. “This makes sense with the power needs of AI and how it is growing,” said Alvin Nguyen, senior analyst with Forrester Research. “This helps mitigate power losses seen from lower voltage and AC systems, reduces the need for materials like copper for wiring/bus bars, better reliability, and better serviceability.” Infineon says a shift to a centralized 800 VDC architecture allows for reduced power losses, higher efficiency and reliability. However, the new architecture requires new power conversion solutions and safety mechanisms to prevent potential hazards and costly server downtimes such as service and maintenance.

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Meta details cutting-edge networking technologies for AI infrastructure

ESUN initiative As part of its standardization efforts, Meta said it would be a key player in the new Ethernet for Scale-Up Networking (ESUN) initiative that brings together AMD, Arista, ARM, Broadcom, Cisco, HPE Networking, Marvell, Microsoft, NVIDIA, OpenAI and Oracle to advance the networking technology to handle the growing scale-up domain for AI systems. ESUN will focus solely on open, standards-based Ethernet switching and framing for scale-up networking—excluding host-side stacks, non-Ethernet protocols, application-layer solutions, and proprietary technologies. The group will focus on the development and interoperability of XPU network interfaces and Ethernet switch ASICs for scale-up networks, the OCP wrote in a blog. ESUN will actively engage with other organizations such as Ultra-Ethernet Consortium (UEC) and long-standing IEEE 802.3 Ethernet to align open standards, incorporate best practices, and accelerate innovation, the OCP stated. Data center networking milestones The launch of ESUN is just one of the AI networking developments Meta shared at the event. Meta engineers also announced three data center networking innovations aimed at making its infrastructure more flexible, scalable, and efficient: The evolution of Meta’s Disaggregated Scheduled Fabric (DSF) to support scale-out interconnect for large AI clusters that span entire data center buildings. A new Non-Scheduled Fabric (NSF) architecture based entirely on shallow-buffer, disaggregated Ethernet switches that will support our largest AI clusters like Prometheus. The addition of Minipack3N, based on Nvidia’s Ethernet Spectrum-4 ASIC, to Meta’s portfolio of 51Tbps OCP switches that use OCP’s Switch Abstraction Interface and Meta’s Facebook Open Switching System (FBOSS) software stack. DSF is Meta’s open networking fabric that completely separates switch hardware, NICs, endpoints, and other networking components from the underlying network and uses OCP-SAI and FBOSS to achieve that, according to Meta. It supports Ethernet-based RoCE RDMA over Converged Ethernet (RoCE/RDMA)) to endpoints, accelerators and NICs from multiple vendors, such as Nvidia,

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Arm joins Open Compute Project to build next-generation AI data center silicon

Keeping up with the demand comes down to performance, and more specifically, performance per watt. With power limited, OEMs have become much more involved in all aspects of the system design, rather than pulling silicon off the shelf or pulling servers or racks off the shelf. “They’re getting much more specific about what that silicon looks like, which is a big departure from where the data center was ten or 15 years ago. The point here being is that they look to create a more optimized system design to bring the acceleration closer to the compute, and get much better performance per watt,” said Awad. The Open Compute Project is a global industry organization dedicated to designing and sharing open-source hardware configurations for data center technologies and infrastructure. It covers everything from silicon products to rack and tray design.  It is hosting its 2025 OCP Global Summit this week in San Jose, Calif. Arm also was part of the Ethernet for Scale-Up Networking (ESUN) initiative announced this week at the Summit that included AMD, Arista, Broadcom, Cisco, HPE Networking, Marvell, Meta, Microsoft, and Nvidia. ESUN promises to advance Ethernet networking technology to handle scale-up connectivity across accelerated AI infrastructures. Arm’s goal by joining OCP is to encourage knowledge sharing and collaboration between companies and users to share ideas, specifications and intellectual property. It is known for focusing on modular rather than monolithic designs, which is where chiplets come in. For example, customers might have multiple different companies building a 64-core CPU and then choose IO to pair it with, whether like PCIe or an NVLink. They then choose their own memory subsystem, deciding whether to go HBM, LPDDR, or DDR. It’s all mix and match like Legos, Awad said.

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BlackRock-Led Consortium to Acquire Aligned Data Centers in $40 Billion AI Infrastructure Deal

Capital Strategy and Infrastructure Readiness The AIP consortium has outlined an initial $30 billion in equity, with potential to scale toward $100 billion including debt over time as part of a broader AI infrastructure buildout. The Aligned acquisition represents a cornerstone investment within that capital roadmap. Aligned’s “ready-to-scale” platform – encompassing land, permits, interconnects, and power roadmaps – is far more valuable today than a patchwork of single-site developments. The consortium framed the transaction as a direct response to the global AI buildout crunch, targeting critical land, energy, and equipment bottlenecks that continue to constrain hyperscale expansion. Platform Overview: Aligned’s Evolution and Strategic Fit Aligned Data Centers has rapidly emerged as a scale developer and operator purpose-built for high-density, quick-turn capacity demanded by hyperscalers and AI platforms. Beyond the U.S., Aligned extended its reach across the Americas through its acquisition of ODATA in Latin America, creating a Pan-American presence that now spans more than 50 campuses and over 5 GW of capacity. The company has repeatedly accessed both public and private capital markets, most recently securing more than $12 billion in new equity and debt financing to accelerate expansion. Aligned’s U.S.–LATAM footprint provides geographic diversification and proximity to fast-growing AI regions. The buyer consortium’s global relationships – spanning utilities, OEMs, and sovereign-fund partners – help address power, interconnect, and supply-chain constraints, all of which are critical to sustaining growth in the AI data-center ecosystem. Macquarie Asset Management built Aligned from a niche U.S. operator into a 5 GW-plus, multi-market platform, the kind of asset infrastructure investors covet as AI demand outpaces grid and supply-chain capacity. Its sale at this stage reflects a broader wave of industry consolidation among large-scale digital-infrastructure owners. Since its own acquisition by BlackRock in early 2024, GIP has strengthened its position as one of the world’s top owners

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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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