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ArcLight Completes Buy of Phillips 66 Stake in Gulf Coast Express Pipeline

ArcLight Capital Partners LLC said Monday it had completed the acquisition of Phillips 66’s DCP GCX Pipeline LLC, which owns a 25 percent non-operating stake in the Gulf Coast Express Pipeline (GCX), for $865 million. “Going forward, GCX will be jointly owned by subsidiaries of Kinder Morgan Inc. (NYSE: KMI) and ArcLight”, infrastructure investor ArcLight said in […]

ArcLight Capital Partners LLC said Monday it had completed the acquisition of Phillips 66’s DCP GCX Pipeline LLC, which owns a 25 percent non-operating stake in the Gulf Coast Express Pipeline (GCX), for $865 million.

“Going forward, GCX will be jointly owned by subsidiaries of Kinder Morgan Inc. (NYSE: KMI) and ArcLight”, infrastructure investor ArcLight said in a press release. Houston, Texas-based Kinder Morgan remains as operator.

“GCX is a premier, 500-mile natural gas pipeline with approximately 2 Bcf/d [billion cubic feet a day] of capacity that is underpinned by a high-quality array of shippers under long-term committed contracts”, Boston, Massachusetts-based ArcLight said.

“GCX provides critical residue gas takeaway service from the Permian Basin to key U.S. Gulf Coast end-markets, including key growing demand regions such as the growing liquefied natural gas export market in South Texas”.

ArcLight founder Dan Revers said, “As the U.S. seeks to meet the rapidly growing power demand needs associated with AI and data center infrastructure, we believe more natural gas-related infrastructure, both power and midstream assets, will be needed to meet this objective”.

“This acquisition builds on our history dating back to 2001 of investing in critical gas infrastructure, ability to be a value-added partner, and expands our strategic partnership with Kinder Morgan”, Revers added.

Lucius Taylor, partner at ArcLight, commented, “As one of the largest, lowest cost transmission assets in the region, we believe GCX is well positioned to capitalize on the dual tailwinds of growing Permian production and long-term LNG, power, and industrial demand growth”.

Barclays Capital Inc. acted as ArcLight’s financial advisor in the transaction, announced December 16, 2024. Latham & Watkins LLP served as legal counsel.

For downstream oil and gas player Phillips 66, the transaction was part of a $3 billion divestment package to support its shareholder return target and other long-term priorities. The GCX sale exceeded the Houston-based company’s divestment plan.

“We intend to continue to optimize the portfolio and rationalize non-core assets going forward”, chief executive Mark Lashier said December about the agreement with ArcLight. “The evolution of our portfolio underscores our position as a leading integrated downstream energy provider, enhancing shareholder value and positioning the company for the future”.

Phillips 66 said, “Proceeds from the sale will support the strategic priorities of Phillips 66, including returns to shareholders and debt reduction”.

“The sales price represents an implied Enterprise Value/EBITDA multiple of 10.6x based on expected 2025 EBITDA [earnings before interests, taxes, depreciation and amortization]”, it said.

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AI-Powered Policing: The Future of Traffic Safety in Kazakhstan

Traffic management is a growing challenge for cities worldwide, requiring a balance between enforcement, efficiency, and public trust. In Kazakhstan, the Qorgau system is redefining road safety through an innovative fusion of artificial intelligence (AI), computer vision, and mobile technology. Designed to assist traffic police in real-time violation detection and

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Quantum networking advances on Earth and in space

“Currently, the U.S. government is not investing in such testbeds or demonstrations, ensuring it will be a follower and not a leader in the development of technical advances in the field,” said a report released last year by the Quantum Economic Development Consortium, a global association of more than 250

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Who wins in networking in 2025 and beyond?

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Dorian LPG Q4 Profit Slashed 79 Percent as Shipping Rates Down

Dorian LPG Ltd. has reported $21.36 million in net income for the fourth quarter of 2024 (third quarter of fiscal year 2025), down 78.63 percent compared to the same three-month period 2023 as freight rates fell. The Stamford, Connecticut-based owner and operator of very large gas carriers (VLGCs) logged $18.5 million in adjusted net profit, or $0.43 per diluted share, according to results it published online. That was down from $106 million for the fourth quarter of 2023. The adjusted net earnings per share figure missed the $0.56 Zacks Consensus Estimate, an average of projections by brokerage analysts. “The $87.5 million decrease in adjusted net income for the three months ended December 31, 2024, compared to the three months ended December 31, 2023, is primarily attributable to (i) a decrease of $82.4 million in revenues; (ii) increases of $2.2 million in charter hire expenses, $2.2 million in vessel operating expenses, $0.2 million in voyage expenses, and $0.1 million in depreciation and amortization expenses; and (iii) decreases of $1.1 million in realized gain on derivatives and $1.6 million in other gain/(loss), net, partially offset by (i) decreases of $1.2 million in interest and finance costs and $0.2 million in general and administrative expenses and (ii) an increase of $0.9 million in interest income”, Dorian LPG said. Revenues for the October-December 2024 period totaled $80.67 million, compared to $163.06 million for the comparable period in the prior year. Dorian LPG’s time charter equivalent rate per available day in the fourth quarter of 2024 dropped 49.86 percent year-on-year to $36,071. Available days decreased from 2,256 to 2,210. “Weaker import demand from China, driven in part by lower steam cracking demand, resulted in a decline in LPG imports from high levels of 3.5 MMT [million metric tons] in July 2024 to 2.3 MMT in

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Trump Signs Memorandum ‘Restoring Maximum Pressure’ on Iran

A fact sheet posted on the White House website on Tuesday stated that U.S. President Donald J. Trump signed a National Security Presidential Memorandum (NSPM) “restoring maximum pressure on the government of the Islamic Republic of Iran”. “The NSPM directs the Secretary of the Treasury to impose maximum economic pressure on the Government of Iran, including by sanctioning or imposing enforcement mechanisms on those acting in violation of existing sanctions,” the fact sheet noted. “The Secretary of State will also modify or rescind existing sanctions waivers and cooperate with the Secretary of Treasury to implement a campaign aimed at driving Iran’s oil exports to zero,” it went on to state. Rigzone has contacted Iran’s ministry of foreign affairs for comment on the fact sheet. At the time of writing, the ministry has not yet responded to Rigzone’s request. In a report sent to Rigzone by the Skandinaviska Enskilda Banken AB (SEB) team on Wednesday morning, Bjarne Schieldrop, the chief commodities analyst at the company, said Brent “turned higher yesterday as Trump ramps up pressure on Iran” but added that it was “slightly lower this morning”. “Brent traded as low as $74.15 per barrel (-2.4 percent) yesterday but managed to close with a gain of 0.3 percent at $76.2 per barrel,” Schieldrop highlighted in the report. “The almost linear downward trend since the recent peak in mid-January seems to have faded a bit with price action now a little more sideways it seems,” he added. In the report, Schieldrop pointed out that, on Tuesday, “Trump signed actions for harder pressure on Iran with the potential to drive its exports significantly lower”. “That Trump would try to drive Iranian oil exports lower has been our expectation all along,” he said in the report. “The oil market is now caught between increasing fears

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Orsted, PGE Make FID on 1.5-GW Wind Farm Near Poland

Danish wind developer Ørsted A/S and PGE Polska Grupa Energetyczna S.A. (PGE) have made a final investment decision (FID) on the Baltica 2 Offshore Wind Farm, planned to have a capacity of 1.5 gigawatts (GW). The project will be built, owned and operated in a 50/50 partnership between the two firms. Baltica 2, which will be located approximately 25 miles (40 kilometers) off the Polish coast near Ustka, is expected to be fully commissioned in 2027, Orsted said in a news release. Baltica 2 has a 25-year inflation-protected contract for difference (CfD) in place with the Polish state. The wind farm has obtained all permits and has signed a grid connection contract with the Polish transmission system operator PSE, according to the release. The wind farm will use the Port of Gdansk for the storage, pre-assembly, and offshore installation of wind turbine components. All major component and vessel contracts for Baltica 2 have been signed, locking in the majority of the project’s capital expenditures, “which significantly de-risks the project,” Orsted noted. According to a separate report from PGE, the total budget for the project, including capital expenditures in development and construction, is estimated at approximately $7.41 billion (PLN 30 billion). Newly appointed Orsted CEO Rasmus Errboe said, “With today’s announcement, we’re ready to build Baltica 2, a flagship project for offshore wind in Poland. We’re satisfied with the value creation of the project, which has an attractive risk-reward profile. I wish to thank the Polish government for its support, and I want to thank our partner PGE for working with us to reach this moment. Together, we’re writing a new chapter in the Polish energy sector, and we’re setting up an industry that will bring jobs and industrial development to Poland for decades to come”. PGE CEO Dariusz Marzec said,

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Moomba CCS in Australia on Track to Achieve Declared Work Rate, Says Santos

The Moomba carbon capture and storage (CCS) project onshore South Australia stored 340,000 metric tons of carbon dioxide equivalent (CO2e) at yearend after starting service October 2024, operator Santos Ltd. has said, touting the facility as a showcase of Australia’s potential for the technology. “The technology and reservoir is [sic] performing as expected, putting Moomba CCS on track to safely and permanently sequester up to 1.7 million tonnes per annum of CO2e, depending on CO2 availability”, the local gas and oil company said in an online statement. A recent analysis by the Institute for Energy Economics and Financial Analysis (IEEFA) of another Australian CCS project found underperformance and cast doubt about the technology’s viability for abating emissions. The Chevron Corp.-led Gorgon CCS injection system captured, in the last Australian fiscal year (July 2023-June 2024), just 30 percent of the CO2 emitted from natural gas extraction by the Gorgon LNG and domestic gas project, IEEFA reported November 28, 2024. Gorgon CCS had been approved on the condition it captures, on a five-year rolling average from 2016, at least 80 percent of CO2 emissions from wells drilled for the gas facility, according to information published online by Chevron Australia Pty. Ltd. Santos assured its project “is delivering immediate and real large-scale emissions reduction for the company and for Australia at a very competitive lifecycle cost”. “The project is providing a real confidence boost for the potential of CCS technology to help Australia reach net zero and decarbonize faster, at scale and affordably”, the Adelaide-based exploration and production company added. At a full injection rate, Moomba CCS avoids more CO2 in four days than what 10,000 electric vehicles save in one year, according to Santos. “And in just one year, Moomba CCS will achieve around 28 percent of the total emissions reduction achieved by

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SSE on track despite stormy weather

SSE (LON: SSE) has upped its energy production across its portfolio of wind, gas and coal power through the most recent quarter affected by Storm Eowyn. The Perth-headquartered firm “good operational performance against variable weather conditions” in an update on its third quarter. It added operating profit expectations across its business units “remain unchanged” albeit it cautioned full year performance remains subject to a number of factors, including more weather. Generation output from its SSE Renewables division increased 26% in first nine months to the end of December compared to same period in prior year, SSE said. It added its “renewables fleet continue to experience periods of variable weather conditions” in January when Storm Eowyn hit, which the Met Office has described as “the UK’s most powerful windstorm for over a decade“. With its growing portfolio of investments in onshore and offshore wind in the UK, it said it’s massive Dogger Bank wind farm was still expected to complete in the second half of 2025.  SSE has a 40% stake in the project alongside Equinor (OSL: EQNR) 40% and Eni (IT: ENI) 20%. It added a second vessel has been reserved for the project from 2026 to support turbine installation across the second and third phases of the project. © Supplied by ProservProserv’s holistic cable monitoring system has been deployed at Dogger Bank wind farm. It also reported it has achieved first power at its 101MW Yellow River onshore wind farm that it has made a financial investment decision (FID) in its 208MW Strathy South onshore wind farm. It said it’s SSEN Transmission business, in which it holds a 75% stake along with Ontario Teachers’ Pension Plan Board which owns 25%, published its “bold blueprint to deliver at least £22 billion of critical grid infrastructure in the five years to 2031”.

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TriMas Completes Arrow Engine Sale

TriMas Corp., a Michigan-based manufacturer of engineered products, has completed the sale of its Arrow Engine business to IES Infrastructure Solutions LLC, a division of IES Holdings Inc. TriMas confirmed in a media release that the sale marks the end of its direct presence in the oil and gas market. “Founded in 1955, Arrow Engine was a legacy TriMas business and part of the TriMas portfolio for several decades”, Thomas Amato, TriMas President and Chief Executive Officer, said. “We are pleased to place this business with IES Infrastructure Solutions, the right partner to take Arrow Engine to the next level. This move is another important step in optimizing TriMas’ business portfolio”. Arrow Engine supplies natural gas engines commonly used in remote applications, including oil field pump jacks and compressors. These engines and replacement parts are designed for use in oil and natural gas production, as well as other industrial sectors. Arrow Engine distributes its products globally, with a primary focus on the United States and Canada, according to TriMas. Arrow Engine manufactures its engine line and offers a wide array of spare parts for various industrial engines, even those not produced by Arrow Engine, TriMas said. With estimated 2024 revenues of approximately $20 million, Arrow Engine will operate within IES’ Infrastructure Solutions segment and retain its existing brand name, TriMas said. “We remain committed to ensuring a smooth transition to IES Infrastructure Solutions while continuing to deliver the highest level of service to Arrow Engine’s customers”, said Amato. TriMas selected Holland & Knight as its outside legal counsel, while Woodward Park Partners acted as exclusive financial advisor and led the sale process. The company added that as a result of the sale, the Specialty Products business will include only Norris Cylinder’s financial performance in 2025, with just one month of Arrow

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Linux containers in 2025 and beyond

The upcoming years will also bring about an increase in the use of standard container practices, such as the Open Container Initiative (OCI) standard, container registries, signing, testing, and GitOps workflows used for application development to build Linux systems. We’re also likely see a significant rise in the use of bootable containers, which are self-contained images that can boot directly into an operating system or application environment. Cloud platforms are often the primary platform for AI experimentation and container development because of their scalability and flexibility along the integration of both AI and ML services. They’re giving birth to many significant changes in the way we process data. With data centers worldwide, cloud platforms also ensure low-latency access and regional compliance for AI applications. As we move ahead, development teams will be able to collaborate more easily through shared development environments and efficient data storage.

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Let’s Go Build Some Data Centers: PowerHouse Drives Hyperscale and AI Infrastructure Across North America

PowerHouse Data Centers, a leading developer and builder of next-generation hyperscale data centers and a division of American Real Estate Partners (AREP), is making significant strides in expanding its footprint across North America, initiating several key projects and partnerships as 2025 begins.  The new developments underscore the company’s commitment to advancing digital infrastructure to meet the growing demands of hyperscale and AI-driven applications. Let’s take a closer look at some of PowerHouse Data Centers’ most recent announcements. Quantum Connect: Bridging the AI Infrastructure Gap in Ashburn On January 17, PowerHouse Data Centers announced a collaboration with Quantum Connect to develop Ashburn’s first fiber hub specifically designed for AI and high-density workloads. This facility is set to provide 20 MW of critical power, with initial availability slated for late 2026.  Strategically located in Northern Virginia’s Data Center Alley, Quantum Connect aims to offer scalable, high-density colocation solutions, featuring rack densities of up to 30kW to support modern workloads such as AI inference, edge caching, and regional compute integration. Quantum Connect said it currently has 1-3 MW private suites available for businesses seeking high-performance infrastructure that bridges the gap between retail colocation and hyperscale facilities. “Quantum Connect redefines what Ashburn’s data center market can deliver for businesses caught in the middle—those too large for retail colocation yet underserved by hyperscale environments,” said Matt Monaco, Senior Vice President at PowerHouse Data Centers. “We’re providing high-performance solutions for tenants with demanding needs but without hyperscale budgets.” Anchored by 130 miles of private conduit and 2,500 fiber pathways, Quantum Connect’s infrastructure offers tenants direct, short-hop connections to adjacent facilities and carrier networks.  With 14 campus entrances and secure, concrete-encased duct banks, the partners said the new facility minimizes downtime risks and reduces operational costs by eliminating the need for new optics or extended fiber runs.

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Blue Owl Swoops In As Major Backer of New, High-Profile, Sustainable U.S. Data Center Construction

With the global demand for data centers continuing to surge ahead, fueled by the proliferation of artificial intelligence (AI), cloud computing, and digital services, it is unsurprising that we are seeing aggressive investment strategies, beyond those of the existing hyperscalers. One of the dynamic players in this market is Blue Owl Capital, a leading asset management firm that has made significant strides in the data center sector. Back in October 2024 we reported on its acquisition of IPI Partners, a digital infrastructure fund manager, for approximately $1 billion. This acquisition added over $11 billion to the assets Blue Owl manages and focused specifically on digital infrastructure initiatives. This acquisition was completed as of January 5, 2025 and IPI’s Managing Partner, Matt A’Hearn has been appointed Head of Blue Owl’s digital infrastructure strategy. A Key Player In Digital Infrastructure and Data Centers With multi-billion-dollar joint ventures and financing initiatives, Blue Owl is positioning itself as a key player in the digital infrastructure space. The company investments in data centers, the implications of its strategic moves, and the broader impact on the AI and digital economy highlights the importance of investment in the data center to the economy overall. With the rapid growth of the data center industry, it is unsurprising that aggressive investment fund management is seeing it as an opportunity. Analysts continue to emphasize that the global data center market is expected to grow at a compound annual growth rate (CAGR) of 10.2% from 2023 to 2030, reaching $517.17 billion by the end of the decade. In this rapidly evolving landscape, Blue Owl Capital has emerged as a significant contributor. The firm’s investments in data centers are not just about capitalizing on current trends but also about shaping the future of digital infrastructure. Spreading the Wealth In August 2024, Blue Owl

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Global Data Center Operator Telehouse Launches Liquid Cooling Lab in the UK to Meet Ongoing AI and HPC Demand

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Flexential Partners with Lonestar to Support First Lunar Data Center

Flexential, a leading provider of secure and flexible data center solutions, this month announced that it has joined forces with Lonestar Data Holdings Inc. to support the upcoming launch of Freedom, Lonestar’s second lunar data center. Scheduled to launch aboard a SpaceX Falcon 9 rocket via Intuitive Machines, this mission is a critical step toward establishing a permanent data center on the Moon. Ground-Based Support for Lunar Data Storage Flexential’s Tampa data center will serve as the mission control platform for Lonestar’s lunar operations, providing colocation, interconnection, and professional services. The facility was chosen for its proximity to Florida’s Space Coast launch operations and its ability to deliver low-latency connectivity for critical functions. Flexential operates two data centers in Tampa and four in Florida as part of its FlexAnywhere® Platform, comprising more than 40 facilities across the U.S. “Flexential’s partnership with Lonestar represents our commitment to advancing data center capabilities beyond conventional boundaries,” said Jason Carolan, Chief Innovation Officer at Flexential. “By supporting Lonestar’s space-based data center initiative, we are helping to create new possibilities for data storage and disaster recovery. This project demonstrates how innovative data center expertise can help organizations prepare for a resilient future with off-world storage solutions.” A New Era of Space-Based Resiliency The growing demand for data center capacity, with U.S. power consumption expected to double from 17 GW in 2022 to 35 GW by 2030 (according to McKinsey & Company), is driving interest in space-based solutions. Storing data off-planet reduces reliance on terrestrial resources while enhancing security against natural disasters, warfare, and cyber threats. The Freedom data center will provide resiliency, disaster recovery, and edge processing services for government and enterprise customers requiring the highest levels of data protection. The solar-powered data center leverages Solid-State Drives (SSDs) and a Field Programmable Gate Array (FPGA) edge

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Why DeepSeek Is Great for AI and HPC and Maybe No Big Deal for Data Centers

In the rapid and ever-evolving landscape of artificial intelligence (AI) and high-performance computing (HPC), the emergence of DeepSeek’s R1 model has sent ripples across industries. DeepSeek has been the data center industry’s topic of the week, for sure. The Chinese AI app surged to the top of US app store leaderboards last weekend, sparking a global selloff in technology shares Monday morning.  But while some analysts predict a transformative impact within the industry, a closer examination suggests that, for data centers at large, the furor over DeepSeek might ultimately be much ado about nothing. DeepSeek’s Breakthrough in AI and HPC DeepSeek, a Chinese AI startup, this month unveiled its R1 model, claiming performance on par with, or even surpassing, leading models like OpenAI’s ChatGPT-4 and Anthropic’s Claude-3.5-Sonnet. Remarkably, DeepSeek developed this model at a fraction of the cost typically associated with such advancements, utilizing a cluster of 256 server nodes equipped with 2,048 GPUs. This efficiency has been attributed to innovative techniques and optimized resource utilization. AI researchers have been abuzz about the performance of the DeepSeek chatbot that produces results similar to ChatGPT, but is based on open-source models and reportedly trained on older GPU chips. Some researchers are skeptical of claims about DeepSeek’s development costs and means, but its performance appears to challenge common assumptions about the computing cost of developing AI applications. This efficiency has been attributed to innovative techniques and optimized resource utilization.  Market Reactions and Data Center Implications The announcement of DeepSeek’s R1 model led to significant market reactions, with notable declines in tech stocks, including a substantial drop in Nvidia’s valuation. This downturn was driven by concerns that more efficient AI models could reduce the demand for high-end hardware and, by extension, the expansive data centers that house them. For now, investors are re-assessing the

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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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