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Iraq to Receive 185,000 Bpd of Oil from Kurdistan

Iraq will receive around 185,000 barrels of crude oil a day from the semi-autonomous region of Kurdistan after exports resume via a pipeline to Turkey, a deputy Iraqi oil minister told the state-run Iraqi News Agency on Sunday without providing a time frame. Basim Mohammed Khudair said the halting of shipments from Kurdistan for nearly […]

Iraq will receive around 185,000 barrels of crude oil a day from the semi-autonomous region of Kurdistan after exports resume via a pipeline to Turkey, a deputy Iraqi oil minister told the state-run Iraqi News Agency on Sunday without providing a time frame.

Basim Mohammed Khudair said the halting of shipments from Kurdistan for nearly two years has left oil fields in the region in need of repair to restore their capacity to export 400,000 barrels per day, the lowest rate pursuant to Iraq’s budget law.

“The current amount available for export in the region is 300,000 barrels a day, part of which is allocated for domestic use while the remaining 185,000 barrels will be earmarked for export,” Khudair said, referring to the first phase of the export resumption. 

“The oil ministry has contacted the Turkish side to inquire about the readiness of the pipeline” that will be used to export oil to Turkey, he said, adding that “we’re waiting for the answer within the next 24 hours.” The date for the resumption of oil exports hasn’t been determined. 

The pipeline saga began in March 2023 after Turkey closed the link following an order by an arbitration court to pay Iraq $1.5 billion. Ankara, which claimed the conduit was shut because it needed repairs after two massive earthquakes, later said that it was ready for operations and it was up to Iraq to resume flows. That never happened as talks stumbled over technical and financial issues. 



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RFID boosts Amazon’s autonomous retail tech

The new RFID lanes are built for merchandise and apparel. These items are much harder to track with camera-based systems since they can be folded, stacked, or carried out of a store in bulk. RFID tags solve that problem by identifying every item. The lanes combine several systems working together

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Cisco extends Nexus 9000 support to Intel Gaudi 3 AI accelerators

Partnerships, validated designs strengthen Cisco offerings Cisco’s AI offerings also include Nvidia technologies, such as Spectrum-X-based switches that are part of Cisco Secure AI Factory with Nvidia.  Cisco also works with AMD and its Instinct AI GPUs for networking and compute stack in large AI clusters. In addition, Cisco integrates

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Seplat Starts Up ANOH Gas Project in Nigeria

Seplat Energy PLC and Nigerian Gas Infrastructure Co’s (NGIC) ANOH Gas Project, designed to produce up to 300 million standard cubic feet a day (MMscfd), has begun supplying the Indorama Petrochemical Plant. The Niger Delta project’s four wells had been on standby since November. Flows to Indorama have now begun following the completion of an 11-kilometer (6.84 miles) pipeline and clearance by the Nigerian Upstream Petroleum Regulatory Commission, the Lagos-based company said in a statement on its website. “Since first gas, wet gas production has been stabilizing, delivering 40-52 MMscfd of processed gas directly from the ANOH gas plant to the Indorama Petrochemical Plant”, Seplat said. “Condensate production has reached 2.0-2.5 kboepd and is expected to increase with gas production as the plant ramps up to design capacity. “In addition, preparations are underway to initiate sales of processed gas to the Nigeria LNG with an offtake agreement structured on an interruptible basis and will support the gas plant to further scale production towards full design capacity of 300 MMscfd. “Meanwhile, the construction of the OB3 pipeline export route by NGIC, originally designated as the primary channel for ANOH gas supply to the domestic market, has resumed and a revised completion date will be communicated in due course”. ANOH was developed by ANOH Gas Processing Co (AGPC), a joint venture equally owned by Seplat and NGIC. The integrated plant consists of two 150-MMscfd gas processing units, liquefied petroleum gas recovery units, condensate stabilization units, a 16-megawatt power plant and other supporting facilities, according to Seplat. It has been designed to operate with zero routine flares, the company said. “Across the unitized field of OML [Oil Mining Lease] 53 and OML 21, the ANOH gas plant unlocks an estimated 4.6 Tcf [trillion cubic feet] condensate-rich gas resource base”, Seplat said. “Seplat’s working interest 2P [proven and probable]

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SOCAR Ventures into Africa through Baleine Deal with Eni

The State Oil Company of the Azerbaijan Republic (SOCAR) has signed an agreement to acquire a 10 percent stake in the producing Baleine field offshore Côte d’Ivoire from operator Eni SpA, the companies said Thursday. “This transaction represents SOCAR’s entry to Africa’s vast oil and gas resources and aligns strategically with SOCAR’s global expansion vision”, SOCAR said in a statement on its website. Currently Italy’s state-controlled energy major Eni owns 47.2 percent stake in Baleine, to be reduced to 37.2 percent after the completion of the sale to SOCAR. Global energy trader Vitol Group owns 30 percent, acquired from Eni last year. Société Nationale d’Opérations Pétrolières de la Côte d’Ivoire has 22.75 percent. “The transaction aligns with Eni’s strategy of optimizing its upstream portfolio by accelerating the monetization of exploration discoveries through the divestment of equity stakes, a model known as the dual exploration model”, Eni said separately. SOCAR noted, “Baleine is considered one of the largest oil and gas discoveries made in West Africa in recent years”. Baleine, developed in two phases, produces over 62,000 barrels a day of oil and more than 75 million cubic feet per day of natural gas, Eni said. It plans to raise the field’s daily capacity to 150,000 barrels of oil and 200 million cubic feet of gas under phase 3. Baleine in 2021 became the Ivory Coast’s first commercial hydrocarbon discovery since 2001 and is now the country’s “main offshore development”, according to Eni. The agreement with SOCAR, executed on the sidelines of the World Economic Forum in Davos, is subject to regulatory approvals and other customary conditions, the companies said. They did not disclose the price of the transaction. The agreement is part of a broader collaboration between the two that involves pursuing hydrocarbon exploration and production to secure fuel for Europe,

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Strategists Project WoW USA Crude Inventory Rise

In an oil and gas report sent to Rigzone by the Macquarie team ahead of the release of this week’s U.S. Energy Information Administration (EIA) weekly petroleum status report, Macquarie strategists revealed that they are forecasting that U.S. crude inventories will 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. “For the week ending 1/16, from refineries, we look for a meaningful reduction in crude runs (-0.4 million barrels per day); we see some potential for continued outperformance here as turnarounds have been slow to materialize,” the strategists added. “Among net imports, we model a moderate reduction, with exports (-0.1 million barrels per day) and imports (-0.5 million barrels per day) lower on a nominal basis,” they continued. The strategists warned in the report that timing of cargoes remains a source of potential volatility in the weekly crude balance, “as does timing of turnarounds”. “From implied domestic supply (prod.+adj.+transfers), we look for a modest nominal decrease (-0.2 MBD),” the strategists said in the report. “Rounding out the picture, we anticipate a larger increase (+0.8 million barrels) in SPR [Strategic Petroleum Reserve] stocks for the week ending 1/16,” they added. The Macquarie strategists went on to state in the report that, “among products”, they “again look for another healthy build led by gasoline (+5.0 million barrels), with distillate (+1.0 million barrels) and jet stocks (+0.9 million barrels) also modestly higher”. “We model implied demand for these three products at ~13.8 million barrels per day for the week ending January 16,” the Macquarie strategists noted. The EIA’s next weekly

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Santos Expects to Exceed 100 MMboe in 2026

Santos Ltd expects to produce 101-111 million barrels of oil equivalent (MMboe) this year, compared to 87.7 MMboe in 2025, according to the Australian company’s quarterly report Thursday. In the last three months of 2025 Santos’ output totaled 22.3 MMboe, up five percent quarter-on-quarter. Full-year production was up one percent from 2024, the Adelaide-based natural gas-focused producer said. Santos said a project to unlock new gas for Darwin LNG in the Northern Territory through the Barossa field had been completed and that liquefied natural gas (LNG) production has restarted. “Following the end of the quarter, the first LNG cargo has been sold on a delivered ex-ship basis”, the quarterly report said. “The cargo is currently being loaded at Darwin LNG and will be delivered to the Sakai terminal in Japan”. In the Cooper basin on the Australian east coast, production recovered to pre-flood levels. “Drilling activity continued uninterrupted in 2025, with 104 wells drilled for the full year despite flood-related disruptions, supporting a near-term increase in production compared to the previous quarters”, Santos said. “Western Australia domestic gas production increased by approximately 19 percent compared to the prior quarter, following successful shutdowns in the third quarter at the Varanus Island and Macedon facilities, and implementation of the Varanus Island compression project phase 2, which developed around 24 MMboe of 2P [proven and probable] reserves”, it said. In Alaska in the United States, phase 1 of the Pikka oilfield development was 98 percent complete, on track to start production this quarter, Santos said. Managing director and chief executive Kevin Gallagher said, “The performance of the base business has been a real highlight in 2025 with strong production despite the impact of the biggest floods in the Cooper Basin since the 1970s”. “Once at full rates, Barossa LNG and Pikka phase 1 together

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Russia Says 2 Killed, Tanks Damaged by Ukraine Attack on Port

Russia said Ukrainian drones hit a Black Sea port late Wednesday, setting four fuel terminals on fire and killing two people.  The fire at the facility in Taman in the Krasnodar region was extinguished Thursday morning, local emergency authorities said on Telegram. A total of 208 personnel and 51 pieces of equipment were deployed, including units from Russia’s Emergency Situations Ministry, the authorities said. According to preliminary information, two port employees were killed and several others were injured in the attack, Krasnodar region Governor Veniamin Kondratyev said Wednesday. Taman port is located on a peninsula across the strait from Crimea, which Russia annexed from Ukraine in 2014. The port handles oil, liquefied petroleum gas, grain, fertilizers and other cargo. It was last attacked in December, when port infrastructure and several vessels were damaged. Ukraine has been stepping up attacks on Russian assets at sea, including tankers and oil-field platforms. Russia has also been regularly striking Ukrainian energy and civilian targets, leaving thousands of people without power, water and heating amid freezing temperatures. It has also repeatedly attacked Ukraine’s Black Sea port of Odesa. The two countries are fighting an increasingly intense energy war to gain meaningful advantage after months of little movement on the frontlines, and amid continuing peace talks. 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.

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Turkey in Talks With Chevron for Joint Oil and Gas Exploration

Turkey’s state energy company is in talks with Chevron Corp to jointly explore for oil and gas, according to a Turkish official familiar with the discussions. Turkish Petroleum Corp, known as TPAO, would work with Chevron on seismic studies and drilling, the official said, asking not to be identified because the talks are private. The potential accord is the latest move by Ankara to boost energy production and comes amid a broader warming of US-Turkey ties. It would follow a January agreement with Exxon Mobil Corp on joint exploration in the Black Sea and Mediterranean.  Turkey’s Energy Ministry didn’t respond to a request for comment. TPAO couldn’t be reached for comment.  “Chevron has a diverse exploration and production portfolio globally and continues to assess potential opportunities,” a spokesperson for Chevron told Bloomberg. “As a matter of policy, we do not comment on commercial matters.” It’s not clear which projects the companies could collaborate on. TPAO is already active in the Black Sea, Iraq, Russia and Somalia, and previously drilled in the eastern Mediterranean, where Chevron operates fields in Israeli and Cypriot waters.  Ankara has sought to cut its almost total dependency on imported oil and gas in recent years by increasing domestic production and expanding TPAO’s operations abroad. The firm has expanded its fleet of specialist vessels for offshore energy exploration and recently announced plans to raise as much as $4 billion in its debut Islamic debt sale. One of TPAO’s newest ships, called Cagri Bey, is expected to begin drilling work in Somalia in April or May, Energy Minister Alparslan Bayraktar told state-run broadcaster TRT Haber last week. WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of Rigzone. All comments are subject to editorial review. Off-topic, inappropriate or insulting comments will be removed.

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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

If IT groups are to be the strategic business partners their companies need, they require solutions that can improve infrastructure life cycle management in the age of artificial intelligence (AI) and heightened security threats. To quantify the value of such solutions, Cisco recently commissioned Forrester Consulting to conduct a Total Economic Impact™ analysis of Cisco Intersight. The comprehensive study found that for a composite organization, Intersight delivered 192% return on investment (ROI) and a payback period of less than six months, along with significant tangible benefits to IT and businesses. Cisco Intersight overview Cisco Intersight is a cloud-native IT operations platform for infrastructure life cycle management. It provides IT teams with comprehensive visibility, control, and automation capabilities for Cisco’s portfolio of compute solutions for data centers, colocation facilities, and edge environments based on the Cisco Unified Computing System (Cisco UCS). Intersight also integrates with leading operating systems, storage providers, hypervisors, and third-party IT service management and security tools. Intersight’s unified, policy-driven approach to infrastructure management helps IT groups automate numerous tasks and, as Forrester found, free up time to dedicate to strategic projects. Forrester study quantifies the benefits of Cisco Intersight  A composite organization using Cisco Intersight achieved:192% ROI and payback in less than six months$3.3M net present value over three years$2.7M from improved uptime and resilience 50% reduction in mean time to resolution $1.7M from increased IT productivity$267K benefit from decreased time to value due to faster project execution and earlier return on infrastructure investments Forrester Total Economic Impact study findings The analyst firm conducted detailed interviews with IT decision-makers and Intersight users at six organizations, from which it created one composite organization: a multinational technology-driven company with $10 billion in annual revenue, 120 branch locations, and a team of six engineers managing its 1,000 servers deployed in several

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SoftBank launches software stack for AI data center operations

Addressing enterprise challenges The software provides two main services, according to SoftBank. The Kubernetes-as-a-Service component automates the stack from BIOS and RAID settings through the OS, GPU drivers, networking, Kubernetes controllers, and storage, the company said. It reconfigures physical connectivity using Nvidia NVLink and memory allocation as users create, update, or delete clusters, according to the announcement. The system allocates nodes based on GPU proximity and NVLink domain configuration to reduce latency, SoftBank said. Enterprises currently face complex GPU cluster provisioning, Kubernetes lifecycle management, inference scaling, and infrastructure tuning challenges that require deep expertise, according to Dai. SoftBank’s automated approach addresses these pain points by handling BIOS-to-Kubernetes configuration, optimizing GPU interconnects, and abstracting inference into API-based services, he said. This allows teams to focus on model development rather than infrastructure maintenance, Dai said. The Inference-as-a-Service component lets users deploy inference services by selecting large language models without configuring Kubernetes or underlying infrastructure, according to the company. It provides OpenAI-compatible APIs and scales across multiple nodes on platforms including the GB200 NVL72, SoftBank said. The software includes tenant isolation through encrypted communications, automated system monitoring and failover, and APIs for connecting to portal, customer management, and billing systems, according to the announcement.

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OpenAI shifts AI data center strategy toward power-first design

The shift to ‘energy sovereignty’  Analysts say the move reflects a fundamental shift in data center strategy, moving from “fiber-first” to “power-first” site selection. “Historically, data centers were built near internet exchange points and urban centers to minimize latency,” said Ashish Banerjee, senior principal analyst at Gartner. “However, as AI training requirements reach the gigawatt scale, OpenAI is signaling that they will prioritize regions with ‘energy sovereignty’, places where they can build proprietary generation and transmission, rather than fighting for scraps on an overtaxed public grid.” For network architecture, this means a massive expansion of the “middle mile.” By placing these behemoth data centers in energy-rich but remote locations, the industry will have to invest heavily in long-haul, high-capacity dark fiber to connect these “power islands” back to the edge. “We should expect a bifurcated network: a massive, centralized core for ‘cold’ model training located in the wilderness, and a highly distributed edge for ‘hot’ real-time inference located near the users,” Banerjee added. Manish Rawat, a semiconductor analyst at TechInsights, also noted that the benefits may come at the cost of greater architectural complexity. “On the network side, this pushes architectures toward fewer mega-hubs and more regionally distributed inference and training clusters, connected via high-capacity backbone links,” Rawat said. “The trade-off is higher upfront capex but greater control over scalability timelines, reducing dependence on slow-moving utility upgrades.”

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CleanArc’s Virginia Hyperscale Bet Meets the Era of Pay-Your-Way Power

What CleanArc’s Project Really Signals About Scaling in Virginia The more important story is what the project signals about how developers believe they can still scale in Virginia at hyperscale magnitude. To wit: 1) The campus is sized like a grid project, not a real estate project At 900 MW, CleanArc is not simply building a few facilities. It is effectively planning a utility-interface program that will require staged substation, transmission, and interconnection work over many years. The company describes the campus as a “flagship” designed for scalable demand and sustainability-focused procurement. Power delivery is planned in three 300 MW phases: the first targeted for 2027, the second for 2030, and the final block sometime between 2033 and 2035. That scale changes what “site selection” really means. For projects of this magnitude, the differentiator is no longer “Can we entitle buildings?” but “Can we secure a credible path for large power blocks, with predictable commercial terms, while regulators are rewriting the rules?” 2) It’s being marketed as sustainability-forward in a market that increasingly requires it CleanArc frames the campus as aligned with sustainability-focused infrastructure: a posture that is no longer optional for hyperscale procurement teams. That does not mean the grid power itself is automatically carbon-free. It means the campus is being positioned to support the modern contracting stack, involving renewables, clean-energy attributes, and related structures, while still delivering what hyperscalers buy first: capacity, reliability, and delivery certainty. 3) The timing is strategic as Virginia tightens around very large load CleanArc is launching its flagship in the nation’s premier data center corridor at the same moment Virginia has moved to formalize a large-customer category that explicitly includes data centers. The implication is not that Virginia has become anti-data center. It is that the state is entering a phase where it

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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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