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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

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Azule Energy Reports Gas Discovery Offshore Angola

Azule Energy reported a gas discovery at the Gajajeira-01 exploration well, located offshore in the Lower Congo Basin of Angola. The well was spudded at a water depth of 3111.7 feet (95 meters), approximately 37.3 miles (60 kilometers) off the coast. It encountered gas- and condensate-bearing sandstones in one of the Lower Oligocene targets, designated LO100, the company said in a news release. The preliminary results and fluid samples indicate several reservoirs with good mobility, and initial assessments suggest that gas volumes on site may exceed 1 trillion cubic feet, with up to 100 million barrels of associated condensate, according to the release. “These results confirm the presence of a working hydrocarbon system and open new exploration opportunities in the area,” Azule Energy said. The company said it will continue to assess the full potential of the Gajajeira-01 discovery and collaborate with its Block 1/14 partners to determine the optimal development strategy. Drilling operations are ongoing, with the next target being the last Lower Oligocene interval LO300. The contractor group is composed of Azule Energy, the asset operator with a 35 percent stake, Equinor ASA with 30 percent, Sonangol E&P with 25 percent, and Acrep S.A. with 10 percent. Azule Energy is an incorporated joint venture equally owned by BP plc and Eni SpA. Paulino Jeronimo, Chairman of Angola’s National Agency of Petroleum, Gas and Biofuels (ANPG), said, “These new discoveries are a motivating factor in our ongoing efforts to attract private investment in the sector for the development and monetization of natural gas. This resource is vital for enhancing energy access and domestic consumption, as well as for boosting Angola’s petrochemical and fertilizer industries”. Azule Energy CEO Adriano Mongini said, “This is a landmark moment for gas exploration in Angola. Gajajeira-01 is the country’s first dedicated gas exploration well,

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KBR, SOCAR JV Wins Two BP Contracts in Azerbaijan

Specialized services and technologies provider KBR Inc. said that its joint venture with the State Oil Company of the Republic of Azerbaijan (SOCAR), SOCAR-KBR LLC (SKLLC), has been selected by BP PLC for two contracts in the country. KBR said in a media release that one contract is for the support of the Sangachal Terminal Electrification (STEL) project, Azerbaijan’s largest oil and gas reception terminal, and the other is for the Shah Deniz compression (SDC) project. According to the contracts, SKLLC will deliver detailed engineering design solutions and procurement services for both projects. SKLLC has already completed the front-end engineering and design (FEED) for the STEL project and the pre-FEED and FEED for the SDC project. “KBR has been delivering world-scale energy solutions in the region for over three decades, and these projects mark a significant step in Azerbaijan’s clean energy security objectives”, Jay Ibrahim, President of KBR Sustainable Technology Solutions, said. “The Sangachal terminal, which was designed by KBR and serves as a vital link between Azerbaijan and the rest of Europe, will enable the country’s transition to national grid supply and reduce emissions. “The Shah Deniz compression project marks the next stage in the evolution of delivering safe and efficient solutions”. Over 95 percent of the team at SKLLC’s Baku office consists of Azerbaijani engineers, designers, and various other professionals. The office will carry out this project utilizing the knowledge of local experts, while receiving support from KBR’s international team, KBR said. To contact the author, email [email protected] 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

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Santos Q2 Revenue Slightly Hit by Lower Prices

Santos Ltd. on Thursday reported $1.29 billion in sales revenue for the second quarter, down one percent from the prior three-month period as weaker liquids prices offset higher sales volumes. The Australian company produced 22.2 million barrels of oil equivalent (MMboe) in the April-June quarter, up one percent sequentially. Higher production in Western Australia was offset by flood impacts in the Cooper Basin. “Over 200 wells and several upstream compressors were shut in. Production recovery is underway and is expected to continue ramping up as flood levels recede during the second half”, Santos said in its quarterly report. A projected impact beyond the quarter from the flooding led to an adjustment in full-year production guidance from 90 MMboe-97 MMboe to 90-95 MMboe. Moreover Timor-Leste’s Bayu-Undan ceased production in May 2025, the report said. The field had already stopped supplying natural gas to Darwin LNG late 2023 due to depletion but Santos said in 2024 Bayu-Undan would continue sending gas to Australia’s Northern Territory until the end of that year. “Positive discussions with Timor-Leste and Australian governments are continuing to progress the proposed Bayu-Undan Carbon Capture and Storage project and look at opportunities to process third-party gas through Bayu-Undan infrastructure”, Santos said Thursday. The output increase, as well as a timing impact from Pyrenees crude liftings in Western Australia, drove a three percent quarter-on-quarter increase in sales volumes to 23.9 MMboe, Santos said. LNG sales totaled 1.27 million metric tons, down from 1.36 million metric tons in Q1. Santos’ LNG projects shipped 49 cargoes in Q2, of which four were equity-marketed from Papua New Guinea LNG. Domestic gas sales rose from 45.8 petajoules in Q1 to 51.2 petajoules in Q2, driven by Western Australia. Crude oil sales increased from 1.26 million barrels to 1.85 million barrels, but condensate sales dropped from 1.14

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Oil Rebounds After Weak Start

Oil edged lower as signs of a softening crude market undercut broader strength across risk assets. West Texas Intermediate futures dipped 0.2% to settle above $66 a barrel, extending a three-day losing streak. The commodity followed broader markets off its lows after President Donald Trump denied a plan to fire Fed Chair Jerome Powell. Still, that rebound wasn’t enough to fully undo a slide driven by government data showing falling distillate demand and rising inventories at the key storage hub in Cushing, Oklahoma. “We are in a rangebound market here, with upside risk capped from waning geopolitical risk, while peak seasonal demand gives us some support,” said Frank Monkam, head of macro trading at Buffalo Bayou Commodities. Traders and analysts remain preoccupied with the prospect of an oversupply later this year as global demand growth cools, the OPEC+ alliance fast-tracks the return of halted supplies and output rises across the Americas. Oil has ticked higher this month — building on the upward trend since May — despite concerns that Trump’s tariff onslaught will hurt demand. Earlier this week, Goldman Sachs Group Inc. raised its Brent forecast for this half, although it remained cautious about 2026. Key market gauges also are signaling reasonably tight near-term supplies. US benchmark crude’s current contract was trading at a $1.22 premium to the next month, a bullish structure. Overall crude inventories fell 3.86 million barrels in this week’s data and US distillate stockpiles, which include diesel, remained at the lowest since 1996 seasonally. While global crude inventories have been swelling in recent months, the bulk of the accumulation has come in markets that have relatively little effect on futures prices, according to Morgan Stanley. The premiums traders are paying for more immediate supplies, a pattern known as backwardation, signal strong short-term demand. “The Brent futures

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USA Threatens to Abandon IEA Over Green Leaning Energy Forecasts

The US may depart the International Energy Agency without changes to forecasting that Republicans have criticized as unrealistically green, President Donald Trump’s energy chief said. “We will do one of two things: we will reform the way the IEA operates or we will withdraw,” Energy Secretary Chris Wright said during an interview Tuesday. “My strong preference is to reform it.”  The Paris-based IEA, established in response to the 1970s oil crisis to enhance energy security, stirred controversy in recent years as long-term forecasts began to factor in more active government policies to shift away from fossil fuels. The agency has predicted that global oil demand will plateau this decade as electric-vehicle fleets expand and other measures are adopted to reduce emissions and combat climate change. “That’s just total nonsense,” Wright said on the sidelines of the Pennsylvania Energy and Innovation Summit at Carnegie Mellon University in Pittsburgh. He added he’s been in a dialog with the Fatih Birol, the IEA’s executive director. The IEA didn’t immediately respond to a request for comment. In the past, it has defended its forecasting and said in a March 2024 statement that its scenarios “are built on different underlying assumptions about how the energy system might evolve over time.” Wright’s criticism of the agency that gets millions of dollars in US funding is in line with Trump’s broader pro-fossil fuels thrust, and his skepticism about climate change and some environmental measures adopted under previous administrations.  The energy group came under fire in the US last year from critics such as Senator John Barrasso, a Wyoming Republican, who said the IEA has become an “energy transition cheerleader” and that its modeling of long-term energy demand was skewed and “no longer provides policymakers with balanced assessments of energy and climate proposals.” WHAT DO YOU THINK? Generated

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Georgia Power’s new IRP keeps coal plants online to serve data centers

Dive Brief: Utility regulators on Tuesday approved Georgia Power’s 2025 integrated resource plan, which calls for keeping coal plants online to serve anticipated data center demand. It also includes up to 4,000 MW of renewable energy, 1,500 MW of battery storage and a smaller amount of new gas capacity. Georgia Power said it anticipates approximately 8,500 MW of load growth over the next six years. The IRP allows for the Public Service Commission to monitor that growth, with the utility updating its load forecast and making quarterly filings regarding large load developments. Clean energy and consumer advocates were critical of the plan’s reliance on coal and gas, and an energy savings target that has not been updated in years. Positive aspects of the IRP around solar, storage and customer programs “are sadly blunted by the continued investment in fossil fuel infrastructure,” said Heather Pohnan, senior energy policy manager with the Southern Alliance for Clean Energy, in a statement.  Dive Insight: The Atlanta metropolitan area is one of the hottest data center markets in the country right now, and Georgia Power’s long-term plan aims to meet the growing demand. But growth projections remain uncertain and critics of the IRP say it could leave customers on the hook for higher bills if the demand doesn’t materialize. Approval of the plan “locks in major investments based on uncertain assumptions about future data center demand, while failing to deliver meaningful benefits or cost relief to existing residential and small business customers,” said Patrick King, Georgia policy advocate with the Natural Resources Defense Council, in a statement. “The plan prioritizes speculative growth.” Data centers are driving U.S. electricity demand rapidly higher, but observers say final construction of new facilities is likely to be a fraction of what has been proposed.  Astrid Atkinson, a former Google senior director of

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Moving AI workloads off the cloud? A hefty data center retrofit awaits

“If you have a very specific use case, and you want to fold AI into some of your processes, and you need a GPU or two and a server to do that, then, that’s perfectly acceptable,” he says. “What we’re seeing, kind of universally, is that most of the enterprises want to migrate to these autonomous agents and agentic AI, where you do need a lot of compute capacity.” Racks of brand-new GPUs, even without new power and cooling infrastructure, can be costly, and Schneider Electric often advises cost-conscious clients to look at previous-generation GPUs to save money. GPU and other AI-related technology is advancing so rapidly, however, that it’s hard to know when to put down stakes. “We’re kind of in a situation where five years ago, we were talking about a data center lasting 30 years and going through three refreshes, maybe four,” Carlini says. “Now, because it is changing so much and requiring more and more power and cooling you can’t overbuild and then grow into it like you used to.”

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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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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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