Stay Ahead, Stay ONMINE

Oil Rises on U.S. Stockpile Drop

Oil rose to the highest in a week after a government report showed a decline in domestic product stockpiles, while strength in broader markets supported crude prices. West Texas Intermediate climbed 1.3% to trade above $62 a barrel, aided by gains in US equities. The Energy Information Administration reported a 763,000-barrel weekly drop at the […]

Oil rose to the highest in a week after a government report showed a decline in domestic product stockpiles, while strength in broader markets supported crude prices.

West Texas Intermediate climbed 1.3% to trade above $62 a barrel, aided by gains in US equities. The Energy Information Administration reported a 763,000-barrel weekly drop at the Cushing hub in Oklahoma, as well as lower oil-product holdings across the board. US distillate stocks, in particular, saw the largest decline since late June.

Price gains are still capped by the outlook for ample global supplies, with OPEC+ ramping up production and the US forecasting record domestic output this year. Russian exports are also close to a 16-month high as Ukrainian drone strikes against refineries cut domestic processing.

“The disconnect continues between paper pricing and the predicted glut in global balances,” said Keshav Lohiya, founder of consultant Oilytics. “We are back to an oil trading world where flat price is firmly in the $65 to $70 world.”

Goldman Sachs Group Inc. reaffirmed its bearish outlook on oil, saying the global market faces an average daily surplus of about 2 million barrels from this quarter through next year. That will drag prices lower, with Brent expected to average $56 a barrel in 2026, analysts including Yulia Grigsby said in a note.

In corporate news, Exxon Mobil Corp. signed agreements that lay the groundwork for it to explore Iraq’s giant Majnoon oil field, ending the company’s near two-year hiatus in the country.

Oil Prices

  • West Texas Intermediate for November delivery advanced 1.3% to settle at $62.55 a barrel in New York.
  • Brent for December settlement climbed 1.2% to settle at $66.25 a barrel.

What do you think? We’d love to hear from you, join the conversation on the

Rigzone Energy Network.

The Rigzone Energy Network is a new social experience created for you and all energy professionals to Speak Up about our industry, share knowledge, connect with peers and industry insiders and engage in a professional community that will empower your career in energy.

Shape
Shape
Stay Ahead

Explore More Insights

Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

Shape

Zscaler, café-inspired branch networks, and mobile security

In Japan, I met with Nathan Howe, senior vice president of innovation and product management for Zscaler, and talked to him about the Zscaler Cellular service. Without getting into the technical nuances, the service works by integrating zero trust into the mobile network. This makes it ideally suited to secure

Read More »

India Refiners May Buy More Russian Oil

Indian refiners are expected to boost oil imports from Russia in the coming months, as trade talks with Washington drag on and discounts widen amid ample supplies. Discounts on Urals crude loading in November are $2-to-$2.50 a barrel to Dated Brent, making it attractive, according to people familiar with the developments. That’s cheaper than discounts of about $1 a barrel in July-to-August, when supplies were tight due to Moscow’s prioritizing local customers. For the current month, ship-tracking data point to an uptick in arrivals. Crude imports from Russia could average about 1.7 million barrels a day in October, according to Kpler Ltd. That would be about 6% higher on-month, but slightly lower than last year’s pace. The US imposed a punitive 50% levy on US imports of Indian goods in August in a bid to pressure New Delhi to curb its appetite for Russian oil, although it’s refrained from similar action against China, another major buyer. In response, India made plain the deals are price-driven and would continue, although it’s also signaled it wants to buy more US energy amid talks with Washington. Still, at this stage it remains unclear whether Indian refiners will continue to maximize purchases of discounted Russian crude given the talks with the US, said the people. Last month, officials from New Delhi described meetings as “constructive”, even with Washington’s demand India stop buying Russian oil. Meanwhile, India’s state processors have begun talks with national oil companies in the Middle East and Africa for term deals for 2026, the people said. Refiners would be seeking for greater volumes from suppliers able to provide flexibility around volumes, such as allowing buyers to resell or optimize cargoes should Russian imports become more viable, they added. Spokespeople for Indian Oil Corp, Bharat Petroleum Corp. and Hindustan Petroleum Corp. didn’t reply

Read More »

Oil Rises on U.S. Stockpile Drop

Oil rose to the highest in a week after a government report showed a decline in domestic product stockpiles, while strength in broader markets supported crude prices. West Texas Intermediate climbed 1.3% to trade above $62 a barrel, aided by gains in US equities. The Energy Information Administration reported a 763,000-barrel weekly drop at the Cushing hub in Oklahoma, as well as lower oil-product holdings across the board. US distillate stocks, in particular, saw the largest decline since late June. Price gains are still capped by the outlook for ample global supplies, with OPEC+ ramping up production and the US forecasting record domestic output this year. Russian exports are also close to a 16-month high as Ukrainian drone strikes against refineries cut domestic processing. “The disconnect continues between paper pricing and the predicted glut in global balances,” said Keshav Lohiya, founder of consultant Oilytics. “We are back to an oil trading world where flat price is firmly in the $65 to $70 world.” Goldman Sachs Group Inc. reaffirmed its bearish outlook on oil, saying the global market faces an average daily surplus of about 2 million barrels from this quarter through next year. That will drag prices lower, with Brent expected to average $56 a barrel in 2026, analysts including Yulia Grigsby said in a note. In corporate news, Exxon Mobil Corp. signed agreements that lay the groundwork for it to explore Iraq’s giant Majnoon oil field, ending the company’s near two-year hiatus in the country. Oil Prices West Texas Intermediate for November delivery advanced 1.3% to settle at $62.55 a barrel in New York. Brent for December settlement climbed 1.2% to settle at $66.25 a barrel. What do you think? We’d love to hear from you, join the conversation on the Rigzone Energy Network. The Rigzone Energy Network is

Read More »

Cenovus Sweetens Offer for MEG

Canada’s Cenovus Energy Inc. increased its takeover bid for rival MEG Energy Corp. one day before investors were due to vote on it, signaling the companies’ original deal didn’t have enough shareholder support.  The new cash-and-stock offer from Cenovus values MEG at C$29.80 per share, or C$7.6 billion ($5.4 billion), based on Tuesday’s closing price. That’s a bump of about 5% from the previous offer, which the MEG board agreed to in August. Including debt, the offer values MEG at about C$8.6 billion. MEG shares were up 5.5% Wednesday at noon in Toronto and Cenovus shares were up 1%. Cenovus is also offering more stock this time: the new proposed transaction is half shares, half cash. The previous bid would have paid shareholders three-quarters cash, and was criticized by some investors for limiting the potential upside for MEG investors.  “While the market will likely express some disappointment from the raised bid, we think the improved offer should support approval from MEG holders and we do believe in the strategic merits of the transaction,” JPMorgan analyst Arun Jayaram said in a note to investors.  MEG’s largest shareholder is Strathcona Resources Ltd., which owns 14% of the company and has put forward its own competing all-stock takeover proposal, which MEG’s board turned down. Strathcona didn’t immediately respond to a request for comment. The MEG shareholder vote has been delayed until Oct. 22. Cenovus needs two-thirds support for the takeover to succeed.  “We received support from the majority of MEG’s shareholders for our transaction, Cenovus Chief Executive Officer Jon McKenzie said in a statement. “However, many MEG shareholders indicated that they would prefer to receive greater Cenovus share consideration, so that they can more fully participate in the upside of the combined company.”  A takeover of MEG, which operates a single oil-sands site

Read More »

Navigating the One Big Beautiful Bill era in US power markets

Kushal Patel, Gregory Gangelhoff, Tali Perelman and Amber Mahone are colleagues at Energy and Environmental Economics. The U.S. electric system is embroiled in a phase of rapid change and great uncertainty. Demand growth is accelerating and sudden policy changes threaten project viability. The path forward will hinge less on predicting exact outcomes and more on preparing for a wide range of possibilities. After years of relatively flat load growth at the national level, electricity demand is growing at the fastest rate in decades. E3’s modeling projects national growth of between 1.1% and 2.2% annually through 2035, driven by data centers, electric vehicles, heat pumps and manufacturing. These sectors continue to expand robustly, despite federal rollbacks on clean energy and advanced manufacturing incentives. Both scenarios show federal trade and tax policy as of July 2025; Low and High scenarios reflect uncertainty in macroeconomic outlook and adoption trends. Even under scenarios with a more conservative outlook on data center growth and adoption of electrified technologies (OBBBA Low), demand increases significantly, driven especially by data centers, EVs and industrial growth. Permission granted by Energy and Environmental Economics But just when new generation development is becoming indispensable for meeting rapidly increasing demand, the economics of building resources have been thrown into turmoil. Federal actions, most notably the One Big Beautiful Bill Act, combined with recent tariffs, have reshaped costs and created unprecedented uncertainty around answering a seemingly simple question: “How much do new renewables, energy storage and natural gas generation cost?” Restrictions associated with Foreign Entities of Concern, or FEOC, in the OBBBA also cast doubt on federal incentives in the near term, separate from the cost impacts above. Trade restrictions are especially affecting the economics of solar and wind. Reciprocal tariffs and Anti-Dumping and Countervailing Duties, or AD/CVD, have been finalized on imported

Read More »

SLB, SBM Enter Into Exclusive Digital Alliance

SLB and SBM Offshore announced, in a recent joint statement, an agreement “to enter into an exclusive digital alliance to optimize the performance of offshore production systems”. The companies noted in the statement that the alliance “brings together SLB’s digital and domain expertise in subsurface, subsea, surface production and recovery with SBM Offshore’s digital and full FPSO lifecycle capabilities”. SLB and SBM added in the statement that they “will leverage their respective digital capabilities to create an AI-powered digital ecosystem that enhances FPSO digital asset management – improving uptime performance and reducing total cost of ownership for offshore operators”. The digital ecosystem will integrate SBM Offshore’s operational workflows, data, and lifecycle expertise with SLB’s digital technologies, including its OptiSite solutions which are enabled by Cognite Data Fusion as part of SLB’s Lumi data and AI platform, the companies said in the statement, adding that, “once fully realized, the digital ecosystem will empower offshore asset operators – across operations, maintenance, and engineering – to proactively identify and resolve emerging challenges before they escalate”. This will be achieved through real-time, contextualized insights drawn from the full asset infrastructure, including subsea wells, risers, flowlines and topside systems workflows, according to the statement, which noted that, “by integrating intelligence across domains, the ecosystem will enable more efficient and agile decision-making throughout the lifecycle of offshore production”. In the statement, Rakesh Jaggi, President, Digital & Integration, SLB, said, “this exclusive alliance with SBM Offshore marks a pivotal moment in offshore assets production and recovery”. “By integrating decades of operational data and domain expertise through SLB’s scalable digital platform, we’re not only unlocking actionable insights – we are optimizing the FPSO value chain to enhance asset performance,” Jaggi added. “Together, we are committed to delivering measurable value and operational excellence to our customers,” Jaggi continued. Olivier Icyk,

Read More »

LandBridge to Acquire Over 37,000 Acres in Delaware Basin

LandBridge Co LLC said Tuesday it had signed a deal to buy about 37,500 acres on Texas’ side of the Delaware Basin from 1918 Ranch & Royalty LLC. “The acreage to be acquired consists of approximately 22,000 fee surface acres, approximately 3,500 surface acres held pursuant to a long-term management agreement and approximately 12,000 leasehold surface acres”, Houston, Texas-based LandBridge said in a press release. These are spread across the counties of Loving, Reeves, Ward and Winkler. Expected to be completed in the fourth quarter, the transaction will increase LandBridge’s holdings to around 300,000 acres, said the oil and gas-focused land management business operating primarily in the Permian sub-basin. Currently LandBridge owns around 277,000 acres across Texas and New Mexico, according to the company. “Upon closing, this transaction will provide LandBridge with immediate access to high-quality pore space adjacent to its large contiguous surface acreage position in Loving County, Texas”, LandBridge said. “This acreage position is expected to support additional water handling infrastructure necessary to handle escalating commercial produced water volumes in the Stateline region of the Delaware Basin, expanding LandBridge’s ability to deliver economic pore space alternatives to a broader customer base. “Beyond subsurface assets, the contiguous acreage in northern Reeves County to be acquired in this transaction is well-positioned for alternative energy development due to its proximity to industry demand and current and planned transmission infrastructure, aligning with LandBridge’s commitment to continue optimizing the commercial and strategic value of its acreage position”. Last month LandBridge announced an agreement with NRG Energy Inc for a potential 1.1-gigawatt gas power plant that would be built by NRG on a LandBridge site in Reeves County, Texas, to support data center electricity demand. LandBridge chief executive Jason Long said, “This acquisition not only bolsters LandBridge’s capacity to meet rising demand for high-quality pore

Read More »

Cisco seriously amps-up Silicon One chip, router for AI data center connectivity

Some say deep buffers shouldn’t be used to handle this type of traffic; the contention is that these buffers fill and drain, creating jitter in the workloads, and that slows things down, Chopra told Network World. “But the real source of that challenge is not the buffers. It’s a poor congestion management scheme and poor load balancing with AI workloads, which are completely deterministic and predictable. You can actually proactively figure out how to place flows across the network and avoid the congestion,” he said. The 8223’s deep-buffer design provides ample memory to temporarily store packets during congestion or traffic bursts, an essential feature for AI networks where inter-GPU communication can create unpredictable, high-volume data flows, according to Gurudatt Shenoy, vice president of Cisco Provider Connectivity. “Combined with its high-radix architecture, the 8223 allows more devices to connect directly, reducing latency, saving rack space, and further lowering power consumption. The result is a flatter, more efficient network topology supporting high-bandwidth, low-latency communication that is critical for AI workloads,” Shenoy wrote in a blog post. NOS options Notably, the first operating systems that the 8223 supports are the Linux Foundation’s Software for Open Networking in the Cloud (SONiC) and Facebook open switching system (FBOSS) – not Cisco’s own IOS XR.  IXR will be supported, too, but at a later date, according to Cisco.  SONiC decouples network software from the underlying hardware and lets it run on hundreds of switches and ASICs from multiple vendors while supporting a full suite of network features such as Border Gateway Protocol (BGP), remote direct memory access (RDMA), QoS, and Ethernet/IP. One of the keys to SONiC is its switch-abstraction interface, which defines an API to provide a vendor-independent way of controlling forwarding elements such as a switching ASIC, an NPU, or a software switch in a uniform

Read More »

Utilities Race to Meet Surging Data Center Demand With New Power Models

Over the last 18 months or so, the energy generation industry and its public utilities have been significantly impacted by the AI data center boom. It has been demonstrated across North America that the increase in demand for power, as driven by the demand for hyperscale and AI data centers, greatly exceeds the ability of the industry to actually generate and deliver power to meet the demand. We have covered many of the efforts being made to control the availability of power. In response, utilities and regulators have begun rethinking how to manage power availability through means such as: temporary moratoriums on new data center interconnections; the creation of new rate classes; cogeneration and load-sharing agreements; renewable integration; and power-driven site selection strategies.  But the bottom line is that in many locations utilities will need to change the way they work and how and where they spend their CAPEX budgets. The industry has already realized that their demand forecast models are hugely out of date, and that has had a ripple effect on much of the planning done by public utilities to meet the next generation of power demand. Most utilities now acknowledge that their demand forecasting models have fallen behind reality, triggering revisions to Integrated Resource Plans (IRPs) and transmission buildouts nationwide. This mismatch between forecast and actual demand is forcing a fundamental rethink of capital expenditure priorities and long-term grid planning. Spend More, Build Faster Utilities are sharply increasing CAPEX and rebalancing their resource portfolios—not just for decarbonization, but to keep pace with multi-hundred-megawatt data center interconnects. This trend is spreading across the industry, not confined to a few isolated utilities. Notable examples include: Duke Energy raised its five-year CAPEX plan to $83 billion (a 13.7% increase) and plans to add roughly 5 GW of natural gas capacity

Read More »

Duos Pairs Mobile Power and Modular Edge Data Centers for Rapid Texas Rollout

Duos Technology Group has launched the fifth of its AI edge data centers, part of a plan to deploy 15 units by the end of 2025. The projects are executed through Duos Edge AI, a subsidiary focused on modular, rapidly installed edge data centers (EDCs) in underserved markets, beginning with school districts and regional carrier hubs across Texas. The newest site is being deployed on-premises with the Dumas Independent School District in Dumas, Texas. High-Density Edge Design Duos’ EDCs emphasize very high rack densities (100 kW+ per rack), SOC 2 Type II compliance, N+1 power with dual generators, and a 90-day build/turn-up cycle. Each site is positioned approximately 12 miles from end users, cutting latency for real-time workloads. To meet the power demands of these edge deployments, Duos formed Duos Energy and partnered with Fortress/APR Energy to deliver behind-the-meter mobile gas turbines. This approach allows compute to go live in 90 days without waiting years for utility interconnection upgrades. The goal is straightforward: move power and compute close to demand, with rapid deployment. Duos’ modular pods are designed for exurban and rural locations as localized compute hubs for carriers, schools, healthcare systems, and municipal users. The rugged design pairs high-density racks with the short deployment cycle and proximity targeting, enabling a wide range of applications. With Dumas ISD now live, Duos has five sites in Texas, including Amarillo/Region 16, Victoria/Region 3, Dumas ISD, and multiple Corpus Christi locations. Mobile Power vs. Modular Compute While Duos doesn’t consistently describe its data center units as “mobile,” they are modular and containerized, engineered for rapid, site-agnostic deployment. The “mobile” label more explicitly applies to Duos’ power strategy—a turbine fleet that can be fielded or re-fielded to match demand. From an operator’s perspective, the combined proposition functions like a mobile platform: pre-integrated compute pods

Read More »

Report: AMD could be Intel’s next foundry customer

[ Related: More Intel news and insights ] AMD has lagged behind Nvidia in the AI business but has done well in the federal supercomputing business, holding numerous top spots with supercomputers like El Capitan and Frontier. Manufacturing its chips in the United States would be a good way to get the Trump administration off its back given its push for domestic manufacturing of semiconductors. The Trump administration is pushing for 50% of chips sold in America to be manufactured domestically, and tariffs on chips that are not. It also faces outbound restrictions. Earlier this year, AMD faced export restrictions GPUs meant for China as part of U.S. export controls against China’s AI business. “I believe this is a smart move by AMD to secure capacity in the local market without fighting against Nvidia and Apple and their deeper pockets for the limited capacity at TSMC,” said Alvi Nguyen, senior analyst with Forrester Research.” With the US investment in Intel, followed by Nvidia, this is can be seen as diversifying their supply chain and providing cheaper, locally sourced parts.” For Intel, this will continue a streak of good news it has enjoyed recently. “Having customers take up capacity at their foundries will go a long way in legitimizing their semiconductor processes and hopefully create the snowball effect of getting even more US-based customers,” said Nguyen. In recent weeks, Intel has partnered with Nvidia to jointly make PC and data center chips. Nvidia also took a $5B stake in Intel. Earlier the Trump administration made a $11.1B, or 10%, stake in Intel.

Read More »

AI Infra Summit 2025 Insights: AI Factories at the Core of the Fifth Industrial Revolution

NVIDIA’s AI Factory: Engineering the Future of Compute NVIDIA’s keynote illuminated the invisible but indispensable heart of the AI revolution—the AI factory. This factory blends hardware and software innovation to achieve performance breakthroughs that transcend traditional limits. Technologies such as disaggregated rack-scale GPUs and the novel 4-bit floating point numerical representation move beyond incremental improvements; they redefine what is achievable in energy efficiency and cost-effectiveness. The software ecosystem NVIDIA fosters, including open-source frameworks like Dynamo, enables unprecedented flexibility in managing inference workloads across thousands of GPUs. This adaptability is crucial given the diverse, dynamic demands of modern AI, where workloads can fluctuate dramatically in scale and complexity. The continuous leap in benchmark performance, often quadrupling hardware capabilities through software alone, continues to reinforce their accelerated innovation cycle. NVIDIA’s framing of AI factories as both technology platforms and business enablers highlights an important shift. The value computed is not merely in processing raw data but in generating economic streams through optimizing speed, reducing costs, and creating new AI services. This paradigm is central to understanding how the new industrial revolution will operate through highly efficient AI factories uniting production and innovation. AWS and the Cloud’s Role in Democratizing AI Power Amazon Web Services (AWS) represents a key pillar in making AI capabilities accessible across the innovation spectrum. AWS’ focus on security and fault tolerance reflects maturity in cloud design, ensuring trust and resilience are priorities alongside raw compute power. The evolution towards AI agents capable of specification-driven operations signifies a move beyond traditional computing paradigms towards contextual, autonomous AI services embedded deeply in workflows. Their launch of EC2 P6-B200 instances with next-generation Blackwell GPUs and specialized Trainium chips represents a continual drive to optimize AI training and inference at scale and out-of-box improvements in performance of 85% reduction in training time;

Read More »

Data Center Jobs: Engineering, Construction, Commissioning, Sales, Field Service and Facility Tech Jobs Available in Major Data Center Hotspots

Each month Data Center Frontier, in partnership with Pkaza, posts some of the hottest data center career opportunities in the market. Here’s a look at some of the latest data center jobs posted on the Data Center Frontier jobs board, powered by Pkaza Critical Facilities Recruiting. Looking for Data Center Candidates? Check out Pkaza’s Active Candidate / Featured Candidate Hotlist Business Development Manager – Mechanical Data Center Solutions Remote / traveler This position can be located anywhere in the U.S. as long as candidate can travel and will need to be located near a major airport in the U.S. Key for this role is data center mechanical experience selling engineered products and solutions with a rolodex of either colo or hyperscale contacts.  This opportunity is working directly with a successful global OEM looking to expand market share in the critical facilities industry. They help data centers reduce energy and operating costs by providing mechanical solutions that modernize their infrastructure. By ensuring high-reliability mission-critical facilities for some of the world’s largest hyperscale, colocation, and enterprise customers, this company offers a career-growth-minded opportunity with exciting projects, cutting-edge technology, competitive salaries, and benefits. Engineering Design Director – Data CenterDenver, CO / Dallas, TX / Remote This position is a remote position in the Midwest supporting HPC / AI colo design projects being built in TX. Previous A/E experience with data center hyperscale design a must! We are seeking an experienced director of data center engineering design who will lead the development and oversight of critical power and mechanical infrastructure design for new data center builds and existing data center facilities. The ideal candidate will bring strong technical acumen, leadership skills, and extensive experience in mission-critical environments. You will oversee all aspects of engineering design, guide project teams, interface with stakeholders, and ensure best practices are upheld in quality,

Read More »

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.

Read More »

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

Read More »

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

Read More »

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

Read More »