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Macquarie Strategists See WoW USA Crude Inventory Build

In a report sent to Rigzone by the Macquarie team late Monday, Macquarie strategists revealed that they are forecasting that U.S. crude inventories will be up by 1.2 million barrels for the week ending July 11. “This follows a 7.1 million barrel build in the prior week, with the crude balance again realizing significantly looser […]

In a report sent to Rigzone by the Macquarie team late Monday, Macquarie strategists revealed that they are forecasting that U.S. crude inventories will be up by 1.2 million barrels for the week ending July 11.

“This follows a 7.1 million barrel build in the prior week, with the crude balance again realizing significantly looser than our expectations,” the strategists stated in the report.

“For this week’s crude balance, from refineries, we model another small reduction in crude runs (-0.1 million barrels per day). Among net imports, we model a modest reduction, with exports (+0.7 million barrels per day) and imports (+0.4 million barrels per day) up on a nominal basis,” they added.

The strategists warned in the report that timing of cargoes remains a source of potential volatility in this week’s crude balance.

“From implied domestic supply (prod.+adj.+transfers), we look for a reduction (-0.7 million barrels per day) on a nominal basis this week,” the strategists went on to note in the report.

“Rounding out the picture, we anticipate a small draw in SPR [Strategic Petroleum Reserve] stocks (-0.3 million barrels) this week,” they said.

The strategists also highlighted in the report that, “among products”, they “look for muted stats this week, with a gasoline draw (-0.8 million barrels), a jet build (+0.6 million barrels) and distillate stocks minimally lower”.

“We model implied demand for these three products at ~14.5 million barrels per day for the week ending July 11,” they added.

“We again note with the July 4th holiday falling on a Friday this year, the timing/magnitude of holiday impacts (particularly for distillate demand) could introduce additional volatility in this week’s stats,” the strategists continued.

“Should the bulk of the July 4th distillate demand loss manifest in this week’s figures, a looser distillate balance could be realized,” they went on to state.

In its latest weekly petroleum status report, which was released on July 9 and included data for the week ending July 4, the U.S. Energy Information Administration (EIA) highlighted that U.S. commercial crude oil inventories, excluding those in the SPR, increased by 7.1 million barrels from the week ending June 27 to the week ending July 4.

Crude oil stocks, not including the SPR, stood at 426.0 million barrels on July 4, 419.0 million barrels on June 27, and 445.1 million barrels on July 5, 2024, the EIA report showed. The report highlighted that data may not add up to totals due to independent rounding.

Crude oil in the SPR stood at 403.0 million barrels on July 4, 402.8 million barrels on June 27, and 373.1 million barrels on July 5, 2024, the report revealed. Total petroleum stocks – including crude oil, total motor gasoline, fuel ethanol, kerosene type jet fuel, distillate fuel oil, residual fuel oil, propane/propylene, and other oils – stood at 1.649 billion barrels on July 4, the EIA report pointed out. Total petroleum stocks were up 6.6 million barrels week on week and down 9.2 million barrels year on year, the report showed.

In an oil and gas report sent to Rigzone by the Macquarie team on July 8, Macquarie strategists revealed that they were forecasting that U.S. crude inventories would be up by 2.7 million barrels for the week ending July 4.

“This follows a 3.8 million barrel build in the prior week, with the crude balance realizing significantly looser than our expectations,” the strategists said in that report.

The EIA’s next weekly petroleum status report is scheduled to be released on July 16. It will include data for the week ending July 11.

To contact the author, email [email protected]

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Broadcom scales up Ethernet with Tomahawk Ultra for low latency HPC and AI

Broadcom Support for minimum packet size allows streaming of those packets at full bandwidth. That capability is essential for efficient communication in scientific and computational workloads. It is particularly important for scale-up networks where GPU-to-switch-to-GPU communication happens in a single hop. Lossless Ethernet gets an ‘Ultra’ boost Another specific area

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Nvidia to restart H20 exports to China, unveils new export-compliant GPU

China re-entry impact Nvidia’s announcements mark a bid to re-enter the world’s second-largest AI market under tightened US export controls. But this return may not mean business as usual. “Despite Nvidia’s market re-entry, Chinese companies will likely continue diversifying suppliers to strengthen supply chain resilience,” said Prabhu Ram, VP of

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Google Cloud to pour more than $25B into AI infrastructure across PJM

Dive Brief: Google will spend more than $25 billion to build out data center and AI infrastructure across the Pennsylvania-based PJM Interconnection power grid in the next two years, the company said Tuesday at the inaugural Pennsylvanian Energy and Innovation Summit hosted by Senator Dave McCormick and attended by President Donald Trump. In addition to expanding its cloud footprint in a region that stretches contiguously across 13 states, including Illinois, New Jersey, Ohio and Virginia, the hyperscaler committed more than $3 billion to modernizing two hydropower plants located in Pennsylvania and launched an AI skills training initiative called AI Works for America. “Google’s investments announced today will increase energy abundance and empower Americans with the skills needed to thrive in the AI era,” Ruth Porat, president and chief investment officer of Google parent company Alphabet, said. “We support President Trump’s clear and urgent direction that our nation invest in AI infrastructure, technology and the energy to unlock its benefits so that America can continue to lead in AI.” Dive Insight: As enterprises search for a return on investments in generative AI technologies, the major cloud providers are in a race to build AI data center capacity that’s chewing through tens of billions of dollars every couple of months. Google plans to boost its capital investments by more than 40% year over year to $75 billion in 2025, CEO Sundar Pichai said in February, pointing to compute capacity constraints and growing demand for its cloud and AI services. In April, the company made a $3 billion commitment to facility buildouts in Virginia and Indiana, vowing to ramp up capacity “to support customer needs and customer demands,” CFO Anat Ashkenazi said during an earnings call. Google’s investments are feeding a spending spree that’s expected to drive global spending on data centers to just under

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Law judge calls for Minnesota PUC to reject $6.2B Allete private equity deal

Dive Brief: The $6.2 billion deal under which the Canada Pension Plan Investment Board and Blackrock’s Global Infrastructure Partners would buy Allete, a Duluth, Minnesota-based utility company, should be rejected, an administrative law judge said Tuesday. The deal poses foreseeable risks to Minnesota’s energy transition, Allete’s long-term financial health and ratepayers, ALJ Megan McKenzie said in a recommended decision filed with the Minnesota Public Utilities Commission. “On balance, the risks of the deal, as proposed, outweigh the possible benefits.” McKenzie said. Allete — parent to Minnesota Power and Superior Water, Light and Power — strongly disagreed with the non-binding recommendation, saying it failed to fully consider the benefits of a July 11 settlement agreement with the Minnesota Department of Commerce. “The ALJ report mischaracterizes the parties, their agreements and plans, and the benefits and risks of the acquisition,” Allete said Tuesday. Dive Insight: The proposed Allete transaction, announced in May 2024, has cleared all required regulatory hurdles, except for approval by the Minnesota PUC. However, ALJ McKenzie agreed with entities opposing the deal — the Minnesota Office of the Attorney General, a consortium of Minnesota Power’s large industrial customers, the Citizens Utility Board of Minnesota, the Sierra Club and CURE, an advocacy group — that it doesn’t meet Minnesota’s public interest standard. Allete and its buyers failed to adequately support key arguments for completing the deal, such as improving the utility company’s access to capital and expertise, according to McKenzie. “Petitioners have not shown that the acquisition will improve Allete’s access to capital or even whether Allete needs improved access,” McKenzie said. Also, access to CPP Investments’ and GIP’s expertise appears to have limited value because of assurances that they intend to keep Allete’s existing management, staff and business plan, she said. Further, the private equity model offered by CPP Investments

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USA EIA Reveals Latest Gasoline Price Forecast

The U.S. Energy Information Administration (EIA) revealed its latest U.S. regular gasoline retail price forecast in its July short term energy outlook (STEO), which was released on July 8. According to this STEO, the EIA sees the U.S. regular gasoline retail price averaging $3.09 per gallon in 2025 and $3.04 per gallon in 2026. In its previous STEO, which was released in June, the EIA projected that the U.S. regular gasoline retail price would come in at $3.09 per gallon this year and $3.08 per gallon next year. The EIA’s latest STEO forecasts that the U.S. regular gasoline retail price will average $3.11 per gallon in the third quarter of this year, $2.99 per gallon in the fourth quarter, $2.93 per gallon in the first quarter of 2026, $3.12 per gallon in the second quarter, $3.16 per gallon in the third quarter, and $2.96 per gallon in the fourth quarter of 2026. In its previous STEO, the EIA projected that the U.S. regular gasoline retail price would average $3.14 per gallon in the third quarter, $2.97 per gallon in the fourth quarter, $2.95 per gallon in the first quarter of next year, $3.17 per gallon in the second quarter, $3.21 per gallon in the third quarter, and $3.01 per gallon in the fourth quarter. Current Prices In its latest gasoline fuel update, which was released on July 15, the EIA showed that the U.S. regular gasoline price averaged $3.164 per gallon on June 30, $3.125 per gallon on July 7, and $3.130 per gallon on July 14. The July 14 price was $0.366 lower than the year ago price, the EIA fuel update outlined. Of the five Petroleum Administration for Defense District (PADD) regions highlighted in the EIA’s latest fuel update, the West Coast was shown to have the highest regular

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Bruce Mansfield Power Plant to Be Converted to Run on Gas

The decommissioned 2.7-gigawatt (GW) Bruce Mansfield Power Plant will be redeveloped from a coal-fired station into a natural gas-fired station, the Frontier Group of Companies (FGC) said Tuesday. The conversion project, Shippingport Power Station, will be “a significantly larger state-of-the-art natural gas generation plant with new incremental onsite generation”, FGC said in a press release with partners. “Additionally, FGC has secured a partner to build a collocated data center facility to support America’s demand for AI infrastructure”. The project is also expected to supply over one GW of excess capacity to the PJM interconnection region, which comprises all or parts of the District of Columbia and 13 states:  the original core of Pennsylvania, New Jersey and Maryland, plus Delaware, Illinois, Indiana, Kentucky, Michigan, North Carolina, Ohio, Tennessee, Virginia and West Virginia. FGC intends to award the gas supply contract to EQT Corp. “Shippingport Power Station is expected to utilize approximately 800 million cubic feet per day of natural gas produced by the Marcellus and Utica shales, located in Western Pennsylvania”, the announcement said. A separate project in Indiana County to redevelop the site of the decommissioned coal-run Homer City Generating Station has also entered into an agreement in principle with EQT for gas supply from the Marcellus shale. National Fuel Gas Co. meanwhile will serve as the transporter for a “significant portion” of the gas deliveries to the Shippingport Power Station. “We look forward to supporting this significant investment in Western Pennsylvania, leveraging our interstate pipeline network to provide reliable deliveries of Appalachian Basin natural gas directly to the facility, with new transportation capacity expected to come online as early as Fall 2026”, said National Fuel Gas president and chief executive David P. Bauer. “The redevelopment project is expected to benefit Pennsylvania with more than $6 billion of new economic

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EQT Set To Be Named Gas Supplier for Homer City Redevelopment Project

Homer City Redevelopment LLC (HCR), tasked with transforming the decommissioned coal-burning Homer City Generating Station, said Tuesday it had signed an agreement in principle with EQT Corp. for the supply of natural gas to the Homer City Energy Campus. The Homer City Energy Campus will transform the site that was home to Pennsylvania’s largest coal-fired power plant into a 3,200-acre artificial intelligence and high-performance computing data center complex. It is planned to have a 4.4-gigawatt fully integrated on-site gas-run generating station. Startup is expected 2027. “Under the Agreement, HCR will have an unparalleled level of gas supply redundancy for the site with the ability to source gas from both the Texas Eastern Transmission and Eastern Gas Transmission and Storage pipeline systems”, HCR and EQT said in a joint statement. “HCR and EQT will unlock natural gas supply of up to 665,000 MMBTUs [million British thermal units] per day. The transaction is one of the largest single-site natural gas purchases in North American history”. HCR chief executive Corey Hessen commented, “This agreement ensures long-term energy security for the data center campus, while demonstrating our commitment to powering the future with Pennsylvania gas, Pennsylvania power and ultimately, Pennsylvania data centers”. GE Vernova Inc. has bagged a contract to supply its high-efficiency 7HA.02 gas turbines for the redevelopment project. The Cambridge, Massachusetts-based power technology company will deliver seven units. Kiewit Power Constructors Co. has won the construction rights. Construction is expected to start this year. The former coal power station, which had a two-gigawatt capacity, ran from 1969 to 2023. The redevelopment project was announced last April. “Much of the critical infrastructure for the project is already in place from the legacy Homer City plant, including transmission lines connected to the PJM and NYISO power grids, substations and water access”, a press release said.

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What’s the State of Oil Hiring in the USA?

Has the first half of 2025 been good for oil hiring in the United States? That’s the question Rigzone asked Brian Binke, the President and CEO of Michigan based the Birmingham Group, an affiliate of Sanford Rose Associates. Responding to the question, Binke told Rigzone that “it’s been slower than expected – especially upstream” but added that “there’s been steady movement tied to maintenance, optimization, and a few targeted build outs”. When asked why this was the case, Binke said “operators are staying disciplined”. “Rig counts are down, prices have been soft, and most companies are being selective with headcount. That said, hiring hasn’t disappeared – it’s just a lot more focused,” he added. Looking ahead, Rigzone asked Binke if he expects the second half of this year to be good for oil hiring in the country. “There’s potential for a stronger second half, especially if prices tick up or if gas stays active,” Binke told Rigzone, responding to the question. “We’re not expecting a hiring boom, but things could trend up modestly,” he added. When asked why, Binke told Rigzone, “the Trump administration has definitely been more supportive of domestic energy, which helps, but hiring takes more than policy – it depends on market confidence, project timelines, and margins”. “If a few variables line up, we’ll see more demand in key roles before year-end,” he said. Rigzone has asked the American Petroleum Institute (API) and the U.S. Department of Energy (DOE) for comment on Binke’s statements. At the time of writing, neither have responded to Rigzone. According to Baker Hughes’ latest North America rotary rig count, which was released on July 11, the U.S. dropped two rigs week on week. The total U.S. rig count stands at 537, according to Baker Hughes’ rig count, which showed that the U.S.

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My take on the Gartner Magic Quadrant for LAN infrastructure? Highly inaccurate

Fortinet being in the leader quadrant may surprise some given they are best known as a security vendor, but the company has quietly built a broad and deep networking portfolio. I have no issue with them being considered a leader and believe for security conscious companies, Fortinet is a great option. Challenger Cisco is the only company listed as a challenger, and its movement out of the leader quadrant highlights just how inaccurate this document is. There is no vendor that sells more networking equipment in more places than Cisco, and it has led enterprise networking for decades. Several years ago, when it was a leader, I could argue the division of engineering between Meraki and Catalyst could have pushed them out, but it didn’t. So why now? At its June Cisco Live event, the company launched a salvo of innovation including AI Canvas, Cisco AI Assistant, and much more. It’s also continually improved the interoperability between Meraki and Catalyst and announced several new products. AI Canvas is a completely new take, was well received by customers at Cisco Live, and reinvents the concept of AIOps. As I stated above, because of the December cutoff time for information gathering, none of this was included, but that makes Cisco’s representation false. Also, I find this MQ very vague in its “Cautions” segment. As an example, it states: “Cisco’s product strategy isn’t well-aligned with key enterprise needs.” Some details here would be helpful. In my conversations with Cisco, which includes with Chief Product Officer and President Jeetu Patel, the company has reiterated that its strategy is to help customers be AI-ready with products that are easier to deploy and manage, more automated, and with a lower cost to run. That seems well-aligned with customer needs. If Gartner is hearing customers want networks

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Equinix, AWS embrace liquid cooling to power AI implementations

With AWS, it deployed In-Row Heat Exchangers (IRHX), a custom-built liquid cooling system designed specifically for servers using Nvidia’s Blackwell GPUs, it’s most powerful but also its hottest running processors used for AI training and inference. The IRHX unit has three components: a water‑distribution cabinet, an integrated pumping unit, and in‑row fan‑coil modules. It uses direct to chip liquid cooling just like the equinox servers, where cold‑plates attached to the chip draw heat from the chips and is cooled by the liquid. The warmed coolant then flows through the coils of heat exchangers, where high‑speed fans Blow on the pipes to cool them, like a car radiator. This type of cooling is nothing new, and there are a few direct to chip liquid cooling solutions on the market from Vertiv, CoolIT, Motivair, and Delta Electronics all sell liquid cooling options. But AWS separates the pumping unit from the fan-coil modules, letting a single pumping system to support large number of fan units. These modular fans can be added or removed as cooling requirements evolve, giving AWS the flexibility to adjust the system per row and site. This led to some concern that Amazon would disrupt the market for liquid cooling, but as a Dell’Oro Group analyst put it, Amazon develops custom technologies for itself and does not go into competition or business with other data center infrastructure companies.

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Intel CEO: We are not in the top 10 semiconductor companies

The Q&A session came on the heels of layoffs across the company. Tan was hired in March, and almost immediately he began to promise to divest and reduce non-core assets. Gelsinger had also begun divesting the company of losers, but they were nibbles around the edge. Tan is promising to take an axe to the place. In addition to discontinuing products, the company has outsourced marketing and media relations — for the first time in more than 25 years of covering this company, I have no internal contacts at Intel. Many more workers are going to lose their jobs in coming weeks. So far about 500 have been cut in Oregon and California but many more is expected — as much as 20% of the overall company staff may go, and Intel has over 100,000 employees, according to published reports. Tan believes the company is bloated and too bogged down with layers of management to be reactive and responsive in the same way that AMD and Nvidia are. “The whole process of that (deciding) is so slow and eventually nobody makes a decision,” he is quoted as saying. Something he has decided on is AI, and he seems to have decided to give up. “On training, I think it is too late for us,” Tan said, adding that Nvidia’s position in that market is simply “too strong.” So there goes what sales Gaudi3 could muster. Instead, Tan said Intel will focus on “edge” artificial intelligence, where AI capabilities Are brought to PCs and other remote devices rather than big AI processors in data centers like Nvidia and AMD are doing. “That’s an area that I think is emerging, coming up very big and we want to make sure that we capture,” Tan said.

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AMD: Latest news and insights

Survey: AMD continues to take server share from Intel May 20, 2025: AMD continues to take market share from Intel, growing at a faster rate and closing the gap between the two companies to the narrowest it has ever been. AMD, Nvidia partner with Saudi startup to build multi-billion dollar AI service centers May 15, 2025: As part of the avalanche of business deals that came from President Trump’s Middle East tour, both AMD and Nvidia have struck multi-billion dollar deals with an emerging Saudi AI firm. AMD targets hosting providers with affordable EPYC 4005 processors May 14, 2025: AMD launched its latest set of data center processors, targeting hosted IT service providers. The EPYC 4005 series is purpose-built with enterprise-class features and support for modern infrastructure technologies at an affordable price, the company said. Jio teams with AMD, Cisco and Nokia to build AI-enabled telecom platform March 18, 2025: Jio has teamed up with AMD, Cisco and Nokia to build an AI-enabled platform for telecom networks. The goal is to make networks smarter, more secure and more efficient to help service providers cut costs and develop new services. AMD patches microcode security holes after accidental early disclosure February 3, 2025: AMD issued two patches for severe microcode security flaws, defects that AMD said “could lead to the loss of Secure Encrypted Virtualization (SEV) protection.” The bugs were inadvertently revealed by a partner.

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Nvidia hits $4T market cap as AI, high-performance semiconductors hit stride

“The company added $1 trillion in market value in less than a year, a pace that surpasses Apple and Microsoft’s previous trajectories. This rapid ascent reflects how indispensable AI chipmakers have become in today’s digital economy,” Kiran Raj, practice head, Strategic Intelligence (Disruptor) at GlobalData, said in a statement. According to GlobalData’s Innovation Radar report, “AI Chips – Trends, Market Dynamics and Innovations,” the global AI chip market is projected to reach $154 billion by 2030, growing at a compound annual growth rate (CAGR) of 20%. Nvidia has much of that market, but it also has a giant bullseye on its back with many competitors gunning for its crown. “With its AI chips powering everything from data centers and cloud computing to autonomous vehicles and robotics, Nvidia is uniquely positioned. However, competitive pressure is mounting. Players like AMD, Intel, Google, and Huawei are doubling down on custom silicon, while regulatory headwinds and export restrictions are reshaping the competitive dynamics,” he said.

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Enterprises will strengthen networks to take on AI, survey finds

Private data centers: 29.5% Traditional public cloud: 35.4% GPU as a service specialists: 18.5% Edge compute: 16.6% “There is little variation from training to inference, but the general pattern is workloads are concentrated a bit in traditional public cloud and then hyperscalers have significant presence in private data centers,” McGillicuddy explained. “There is emerging interest around deploying AI workloads at the corporate edge and edge compute environments as well, which allows them to have workloads residing closer to edge data in the enterprise, which helps them combat latency issues and things like that. The big key takeaway here is that the typical enterprise is going to need to make sure that its data center network is ready to support AI workloads.” AI networking challenges The popularity of AI doesn’t remove some of the business and technical concerns that the technology brings to enterprise leaders. According to the EMA survey, business concerns include security risk (39%), cost/budget (33%), rapid technology evolution (33%), and networking team skills gaps (29%). Respondents also indicated several concerns around both data center networking issues and WAN issues. Concerns related to data center networking included: Integration between AI network and legacy networks: 43% Bandwidth demand: 41% Coordinating traffic flows of synchronized AI workloads: 38% Latency: 36% WAN issues respondents shared included: Complexity of workload distribution across sites: 42% Latency between workloads and data at WAN edge: 39% Complexity of traffic prioritization: 36% Network congestion: 33% “It’s really not cheap to make your network AI ready,” McGillicuddy stated. “You might need to invest in a lot of new switches and you might need to upgrade your WAN or switch vendors. You might need to make some changes to your underlay around what kind of connectivity your AI traffic is going over.” Enterprise leaders intend to invest in infrastructure

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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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