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USA Crude Oil Stocks Increase Week on Week

U.S. commercial crude oil inventories, excluding those in the Strategic Petroleum Reserve (SPR), increased by 3.6 million barrels from the week ending January 9 to the week ending January 16, the U.S. Energy Information Administration (EIA) highlighted in its latest weekly petroleum status report. Crude oil stocks, not including the SPR, stood at 426.0 million […]

U.S. commercial crude oil inventories, excluding those in the Strategic Petroleum Reserve (SPR), increased by 3.6 million barrels from the week ending January 9 to the week ending January 16, the U.S. Energy Information Administration (EIA) highlighted in its latest weekly petroleum status report.

Crude oil stocks, not including the SPR, stood at 426.0 million barrels on January 16, 422.4 million barrels on January 9, and 411.7 million barrels on January 17, 2025, the EIA report, which was released on January 22 and included data for the week ending January 16, showed. Crude oil in the SPR stood at 414.5 million barrels on January 16, 413.7 million barrels on January 9, and 394.6 million barrels on January 17, 2025, the report revealed.

Total petroleum stocks – including crude oil, total motor gasoline, fuel ethanol, kerosene type jet fuel, distillate fuel oil, residual fuel oil, propane/propylene, and other oils – stood at 1.722 billion barrels on January 16, the report highlighted. Total petroleum stocks were up 8.3 million barrels week on week and up 100.3 million barrels year on year, the report pointed out.

“At 426.0 million barrels, U.S. crude oil inventories are about two percent below the five year average for this time of year,” the EIA said in its latest weekly petroleum status report.

“Total motor gasoline inventories increased by 6.0 million barrels from last week and are about five percent above the five year average for this time of year. Both finished gasoline and blending components inventories increased last week,” it added.

“Distillate fuel inventories increased by 3.3 million barrels last week and are about one percent below the five year average for this time of year. Propane/propylene inventories decreased 2.1 million barrels from last week and are about 39 percent above the five year average for this time of year,” it continued.

U.S. crude oil refinery inputs averaged 16.6 million barrels per day during the week ending January 16, the EIA noted in its report, highlighting that this was 354,000 barrels per day less than the previous week’s average.

“Refineries operated at 93.3 percent of their operable capacity last week,” the EIA said in its latest weekly petroleum status report.

“Gasoline production decreased last week, averaging 8.8 million barrels per day. Distillate fuel production decreased by 210,000 barrels per day last week, averaging 5.1 million barrels per day,” it added.

U.S. crude oil imports averaged 6.4 million barrels per day last week, according to the report, which outlined that this was a decrease of 645,000 barrels per day from the previous week.

“Over the past four weeks, crude oil imports averaged about 6.2 million barrels per day, 5.3 percent less than the same four-week period last year,” the EIA said in its report.

“Total motor gasoline imports (including both finished gasoline and gasoline blending components) last week averaged 412,000 barrels per day, and distillate fuel imports averaged 215,000 barrels per day,” it added.

Total products supplied over the last four-week period averaged 19.9 million barrels per day, 1.5 percent above the same period last year, the EIA stated in its report.

“Over the past four weeks, motor gasoline product supplied averaged 8.2 million barrels per day, down by 0.6 percent from the same period last year,” it noted.

“Distillate fuel product supplied averaged 3.5 million barrels per day over the past four weeks, down by 1.1 percent from the same period last year. Jet fuel product supplied was up 10.2 percent compared with the same four-week period last year,” it added.

In an oil and gas report sent to Rigzone by the Macquarie team ahead of the release of this week’s EIA report, Macquarie strategists revealed that they were forecasting that U.S. crude inventories would be up by 2.0 million barrels for the week ending January 16.

“This follows a 3.4 million barrel build in the prior week, with the crude balance realizing somewhat tighter relative to our expectations, alongside a large gasoline build,” the strategists, including Macquarie energy strategist Walt Chancellor, said in the Macquarie report.

The EIA’s latest weekly petroleum status report also highlighted that the price for West Texas Intermediate (WTI) crude oil was $59.40 per barrel on January 16, which it pointed out was $0.44 more than a week ago and $19.16 less than a year ago.

The EIA report noted that the national average retail price for regular gasoline decreased to $2.806 per gallon on January 19. It highlighted that this was $0.027 more than last week’s price and $0.303 less than the year-ago price. The national average retail diesel fuel price increased $0.071 to $3.530 per gallon, the EIA stated in its report, outlining that this was $0.185 less than the price one year ago.

According to the AAA Fuel Prices website, as of January 23, the average U.S. regular gasoline price is $2.862 per gallon and the average U.S. diesel price is $3.554 per gallon.

To contact the author, email [email protected]

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USA Crude Oil Stocks Increase Week on Week

U.S. commercial crude oil inventories, excluding those in the Strategic Petroleum Reserve (SPR), increased by 3.6 million barrels from the week ending January 9 to the week ending January 16, the U.S. Energy Information Administration (EIA) highlighted in its latest weekly petroleum status report. Crude oil stocks, not including the SPR, stood at 426.0 million barrels on January 16, 422.4 million barrels on January 9, and 411.7 million barrels on January 17, 2025, the EIA report, which was released on January 22 and included data for the week ending January 16, showed. Crude oil in the SPR stood at 414.5 million barrels on January 16, 413.7 million barrels on January 9, and 394.6 million barrels on January 17, 2025, the report revealed. Total petroleum stocks – including crude oil, total motor gasoline, fuel ethanol, kerosene type jet fuel, distillate fuel oil, residual fuel oil, propane/propylene, and other oils – stood at 1.722 billion barrels on January 16, the report highlighted. Total petroleum stocks were up 8.3 million barrels week on week and up 100.3 million barrels year on year, the report pointed out. “At 426.0 million barrels, U.S. crude oil inventories are about two percent below the five year average for this time of year,” the EIA said in its latest weekly petroleum status report. “Total motor gasoline inventories increased by 6.0 million barrels from last week and are about five percent above the five year average for this time of year. Both finished gasoline and blending components inventories increased last week,” it added. “Distillate fuel inventories increased by 3.3 million barrels last week and are about one percent below the five year average for this time of year. Propane/propylene inventories decreased 2.1 million barrels from last week and are about 39 percent above the five year average for this

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Alaska LNG Secures Preliminary Deals with Suppliers, Offtakers

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Texas Governor Issues Disaster Declaration for 134 Counties

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Kinder Morgan Reports Record Year

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Shell Announces Executive Committee Changes

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New Equinor Gas Discovery in Norway Eyed to Supply Poland

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DCN becoming the new WAN for AI-era applications

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Edged US Builds Waterless, High-Density AI Data Center Campuses at Scale

Edged US is targeting a narrow but increasingly valuable lane of the hyperscale AI infrastructure market: high-density compute delivered at speed, paired with a sustainability posture centered on waterless, closed-loop cooling and a portfolio-wide design PUE target of roughly 1.15. Two recent announcements illustrate the model. In Aurora, Illinois, Edged is developing a 72-MW facility purpose-built for AI training and inference, with liquid-to-chip cooling designed to support rack densities exceeding 200 kW. In Irving, Texas, a 24-MW campus expansion combines air-cooled densities above 120 kW per rack with liquid-to-chip capability reaching 400 kW. Taken together, the projects point to a consistent strategy: standardized, multi-building campuses in major markets; a vertically integrated technical stack with cooling at its core; and an operating model built around repeatable designs, modular systems, and readiness for rapidly escalating AI densities. A Campus-First Platform Strategy Edged US’s platform strategy is built around campus-scale expansion rather than one-off facilities. The company positions itself as a gigawatt-scale, AI-ready portfolio expanding across major U.S. metros through repeatable design targets and multi-building campuses: an emphasis that is deliberate and increasingly consequential. In Chicago/Aurora, Edged is developing a multi-building campus with an initial facility already online and a second 72-MW building under construction. Dallas/Irving follows the same playbook: the first facility opened in January 2025, with a second 24-MW building approved unanimously by the city. Taken together with developments in Atlanta, Chicago, Columbus, Dallas, Des Moines, Kansas City, and Phoenix, the footprint reflects a portfolio-first mindset rather than a collection of bespoke sites. This focus on campus-based expansion matters because the AI factory era increasingly rewards developers that can execute three things at once: Lock down power and land at scale. Standardize delivery across markets. Operate efficiently while staying aligned with community and regulatory expectations. Edged is explicitly selling the second

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CBRE’s 2026 Data Center Outlook: Demand Surges as Delivery Becomes the Constraint

The U.S. data center market is entering 2026 with fundamentals that remain unmatched across commercial real estate, but the nature of the dominant constraint has shifted. Demand is no longer gated by capital, connectivity, or even land. It is gated by the ability to deliver very large blocks of power, on aggressive timelines, at a predictable cost. According to the CBRE 2026 U.S. Real Estate Market Outlook as overseen by Gordon Dolven and Pat Lynch, the sector is on track to post another record year for leasing activity, even as vacancy remains at historic lows and pricing reaches all-time highs. What has changed is the scale at which demand now presents itself, and the difficulty of meeting it. Large-Block Leasing Rewrites the Economics AI-driven workloads are reshaping leasing dynamics in ways that break from prior hyperscale norms. Where 10-MW-plus deployments once commanded pricing concessions, CBRE now observes the opposite behavior: large, contiguous blocks of capacity are commanding premiums. Neocloud providers, GPU-as-a-service platforms and AI startups, many backed by aggressive capital deployment strategies, are actively competing for full-building and campus-scale capacity.  For operators, this is altering development and merchandising strategies. Rather than subdividing shells for flexibility, owners increasingly face a strategic choice: hold buildings intact to preserve optionality for single-tenant, high-density users who are willing to pay for scale. In effect, scale itself has become the scarce asset. Behind-the-Meter Power Moves to the Foreground For data centers, power availability meaning not just access, but certainty of delivery, is now the defining variable in the market.  CBRE notes accelerating adoption of behind-the-meter strategies as operators seek to bypass increasingly constrained utility timelines. On-site generation using natural gas, solar, wind, and battery storage is gaining traction, particularly in deregulated electricity markets where operators have more latitude to structure BYOP (bring your own power) solutions. 

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Blue Origin targets enterprise networks with a multi-terabit satellite connectivity plan

“It’s ideal for remote, sparse, or sensitive regions,” said Manish Rawat, analyst at TechInsights. “Key use cases include cloud-to-cloud links, data center replication, government, defense, and disaster recovery workloads. It supports rapid or temporary deployments and prioritizes fewer customers with high capacity, strict SLAs, and deep carrier integration.” Adoption, however, is expected to largely depend on the sector. For governments and organizations operating highly critical or sensitive infrastructure, where reliability and security outweigh cost considerations, this could be attractive as a redundancy option. “Banks, national security agencies, and other mission-critical operators may consider it as an alternate routing path,” Jain said. “For most enterprises, however, it is unlikely to replace terrestrial connectivity and would instead function as a supplementary layer.” Real-world performance Although satellite connectivity offers potential advantages, analysts note that questions remain around real-world performance. “TeraWave’s 6 Tbps refers to total constellation capacity, not per-user throughput, achieved via multiple optical inter-satellite links and ground gateways,” Rawat said. “Optical crosslinks provide high aggregate bandwidth but not a single terabit-class pipe. Performance lies between fiber and GEO satellites, with lower intercontinental latency than GEO but higher than fiber.” Operational factors could also affect network stability. Jitter is generally low, but handovers, rerouting, and weather conditions can introduce intermittent performance spikes. Packet loss is expected to remain modest but episodic, Rawat added.

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CyrusOne Hones AI-Era Data Center Strategy for Power, Pace, and Reliability

In the second half of 2025, CyrusOne was racing to secure buildable power and faster time-to-market capacity for AI-era customers. At the same time, its reputation for mission-critical reliability took a very public hit when a disruption at a CyrusOne facility helped knock CME trading offline. The incident forced the company into an unusually open conversation about redundancy, cooling systems, and operational discipline: systems that are meant to disappear in normal operation, and dominate the story when they malfunction. From Projects to a Playbook Which projects, missteps, and strategic moves from 2025 are now shaping how CyrusOne enters 2026? Nowhere is that view clearer than in Texas. There, CyrusOne has been leaning hard into a “power + land + interconnect” model: treating deliverable power and grid position as part of the product, not just a prerequisite. If you map the company’s announcements since late July, Texas reveals the playbook. Secure power, secure substations and grid position, then build multi-phase campuses designed to scale quickly as demand materializes. The Calpine “Powered Land” Deal: From 190 MW to 400 MW in Three Months On July 30, 2025, CyrusOne and Calpine announced a 190-MW agreement tied to a hyperscale campus (DFW10) adjacent to Calpine’s Thad Hill Energy Center in Bosque County, Texas. The structure bundled power, grid connection, and land into a single development package, with CyrusOne saying the site was already under construction and targeting operation by Q4 2026. Just three months later, on November 3–4, the partners announced a second phase, adding 210 MW and taking the campus to 400 MW. The update emphasized coordination to support grid reliability during scarcity; such curtailment and operational-coordination concepts are becoming table stakes for ERCOT-scale megaprojects. Together, the two announcements show CyrusOne placing a large bet on an emerging model: power-ready campuses, or “powered

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Forrester study quantifies benefits of Cisco Intersight

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Microsoft will invest $80B in AI data centers in fiscal 2025

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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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