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Over 300 jobs at risk at SSE as renewables bears the brunt

There are 300 jobs at risk in the UK and Ireland as SSE and its renewables business launch a consultation on redundancies. Unite the Union claims that more than 150 of the jobs at risk come from the “extremely profitable” SSE renewables, which operates the Viking onshore wind farm. Among the jobs reportedly at risk are […]

There are 300 jobs at risk in the UK and Ireland as SSE and its renewables business launch a consultation on redundancies.

Unite the Union claims that more than 150 of the jobs at risk come from the “extremely profitable” SSE renewables, which operates the Viking onshore wind farm.

Among the jobs reportedly at risk are critical support staff for control rooms and those working in maintenance.

Simon Coop, national officer for the union, said: “Staffing levels have been a major issue for Unite before these redundancies were announced, and this will make the situation much worse as our members working in the renewables space are already overstretched and being asked to work more and more hours.

“Their voices must be heard and, we will ensure that this happens.

“Unite is calling on SSE to reconsider its decision.”

Additionally, the union claims that workers have alread “complained about already being overworked due to there not being enough staff and have been unable to take proper breaks or time off”.

SSE’s renewables output increased by around 17% year-on-year in 2024. Generation output from SSE Renewables increased 26% in the first nine months to the end of December, compared to the same period in the previous year.

The business expects the first stage of its 3.6GW Dogger Bank wind development to come online this year.

The project is set to be the world’s largest fixed-bottom offshore wind farm.

SSE has a 40% stake in the project alongside Equinor (OSL: EQNR) 40% and Eni (IT: ENI) 20%.

However, its Berwick Bank wind farm is still awaiting approval by the Scottish Government and missed out on the opportunity to take part in last year’s government funding round as a result.

Once operational, Berwick Bank will also be one of the largest projects of its type on the planet.

Sharon Graham, general secretary for the union, said: “SSE’s renewables operation is already extremely profitable and set to become even more so as the demand for renewables increases.

“The threat of job losses is a cynical attempt driven to further boost the company’s profits and not in the interests of workers or consumers.

“Unite will not stand by and watch these workers lose their jobs while shareholders and bosses profit. They have the full support of the union throughout this consultation process.”

The firm is set to release its full-year results to the end of March 2024 on 21 May this year.

Adjusted operating profit for SSE Renewables increased by 287% to £335.6m from £86.8m in the first half of the year, the firm reported in November. 

Throughout the first half of last year SSE Renewables delivered its onshore Viking wind farm in Shetland and its Seagreen offshore wind farm achieved commercial operations, adding to the business’ profits.

An SSE spokesperson responded to Unite’s comments: “After a period of sustained growth, we’re undertaking an efficiency review to ensure we continue to operate in the most efficient and effective way possible into the future.

“We have informed colleagues that this will unfortunately lead to reduced headcount in some parts of our business.

“We understand this process will be difficult for our teams, and we’ll be consulting trade unions and keeping colleagues informed throughout.”

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Trump meets with Intel CEO after calling for his resignation

The call for Tan’s resignation coincided with an Aug. 6 letter Sen. Tom Cotton (R-AK) sent to Intel Chairman Frank Yeary, in which he expressed concerns about “Intel’s operations and its potential impact on U.S. national security,” citing a report alleging Tan’s links to Chinese firms and the fact Cadence

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US to maintain lower tariff rates on China imports for 90 more days

The U.S. is extending its pause on additional retaliatory tariffs for imports from China until Nov. 10, according to an executive order signed by President Donald Trump on Monday. The order said the extension is appropriate following “significant steps” from China on addressing U.S. trade concerns in ongoing discussions between the

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Critical SSH vulnerabilities expose enterprise network infrastructure as patching lags

RegreSSHion (CVE-2024-6387) proved particularly dangerous, enabling unauthenticated remote code execution through a signal reentrance vulnerability in OpenSSH. The vulnerability affected countless Linux systems and network appliances running vulnerable OpenSSH versions, though exploitation proved challenging due to modern memory protections. The MOVEit vulnerability (CVE-2024-5806) demonstrated how third-party SSH libraries could introduce

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$1.9T Norway Wealth Fund Trims Big Oil Stocks

Norway’s $1.9 trillion sovereign wealth fund pared back its holdings in oil and gas majors including Exxon Mobil Corp and Chevron Corp in the first half of the year. The fund trimmed its position in Exxon to 1.32% from 1.46% at the end of 2024. Its second-biggest energy holding, Shell Plc, was reduced to 2.55% from 2.78% during the same period. Positions in Chevron, BP Plc and TotalEnergies SE were all cut, according to holdings posted on its website on Tuesday. Oil prices retreated in the first half, despite a spike in June due to the conflict between Israel and Iran. President Donald Trump’s trade policies and moves by OPEC+ nations to keep increasing output quotas weighed on the outlook for energy demand and raised concerns around oversupply. Energy stock holdings as a whole for Norges Bank Investment Management — the official name of the fund — returned 6.3% in the first half of 2025, the fund said in its first half report Tuesday. The sector accounts for 2.9% of the equity portfolio. Norway’s wealth fund, the world’s largest, owns about 1.5% of listed stocks globally. More than two thirds of the fund is in equities, all outside of Norway. The manager of the Nordic country’s oil and gas wealth is to a large degree an index tracker. WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of Rigzone. All comments are subject to editorial review. Off-topic, inappropriate or insulting comments will be removed.

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Oil Falls as China Tariff Truce Extended

Oil slipped as investors weighed US President Donald Trump’s deferral of lofty tariffs on China against possible outcomes from his planned meeting with Russia’s Vladimir Putin. West Texas Intermediate dropped near $63 a barrel in muted summer trading, near last week’s two-month low. Trump extended for another 90 days a truce that was set to expire Tuesday. US inflation data, meanwhile, bolstered speculation the Federal Reserve will soon be able to cut interest rates. Absent any major drivers, traders are looking to the summit between Trump and Putin later this week for signs sanctions on the major oil producer will be eased, although the US president on Monday downplayed expectations for a deal to end the war in Ukraine. The aggregate trading volume of global benchmark Brent is well below its daily average — suggesting traders are exercising caution as they seek further insight into the oil market’s outlook. Prices are down by more than 8% this month after trade and geopolitical tensions eased, while many analysts anticipate a supply glut later this year. Meanwhile, the US government now expects domestic oil production to fall next year, reversing years of output growth. The EIA also estimated the supply glut would increase to 1.7 million barrels a day in 2026. Looking ahead, the International Energy Agency will release its report on Wednesday. Oil Prices WTI for September delivery fell 79 cents to settle at $63.17 a barrel in New York. Brent for October settlement dropped 51 cents to settle at $66.12 a barrel. What do you think? We’d love to hear from you, join the conversation on the Rigzone Energy Network. The Rigzone Energy Network is a new social experience created for you and all energy professionals to Speak Up about our industry, share knowledge, connect with peers and industry insiders

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Portland General energizes 1.9 GWh of lithium batteries in major storage expansion

Portland General Electric announced Thursday it has brought a trio of battery projects online totaling 475 MW/1.9 GWh to maintain reliability and limit price volatility in the metropolitan area. The three projects bring PGE’s large-scale battery storage capacity to 492 MW, representing a significant expansion. Energy storage plays “an important role in helping PGE build a more flexible, reliable and diverse generation portfolio,” Darrington Outama, PGE’s senior director of energy supply, said in a statement. Along with providing energy during hours of grid stress, batteries “enhance our ability to respond to sudden changes in the grid and help keep energy supply and demand balanced,” he said. The four-hour batteries are “strategically located at key substations” in North Portland, Troutdale and Hillsboro, Oregon, PGE said. They will reduce the utility’s need for expensive short-term electricity purchases and support the integration of intermittent sources like wind and solar, the utility said. The projects include: The 200-MW Seaside project, located in North Portland and developed for the utility by Eolian under a fixed-cost build-transfer agreement. The project began commercial operations in July. The 200-MW Sundial project in Troutdale, developed by Eolian and operated by NextEra Energy Resources under a 20-year storage capacity agreement with PGE. Sundial came online in December. The 75-MW Constable facility in Hillsboro, which was constructed for PGE under an engineering, procurement and construction agreement with Mortenson. The facility achieved commercial operation in December. Eolian won the Seaside and Sundial projects as part of an all-source request for proposals PGE held in 2021. “Battery energy storage systems sited at major substations radically improve the use of existing high voltage transmission lines, avoiding expensive or challenging new grid upgrades and providing a low-cost load growth solution through existing infrastructure,” Eolian CEO Aaron Zubot said in a statement. PGE also has a 17 MW Coffee

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Joint Statement on Protecting American Consumers and Shipping Industries by Defeating the International Maritime Organization’s “Net-Zero Framework” aka Global Carbon Tax

The text of the following statement was released by Secretary of State Marco Rubio, Secretary of Commerce Howard Lutnick, Secretary of Energy Chris Wright, and Secretary of Transportation Sean Duffy. Begin Text: President Trump has made it clear that the United States will not accept any international environmental agreement that unduly or unfairly burdens the United States or harms the interests of the American people. This October, members of the International Maritime Organization (IMO) are poised to consider the adoption of a so-called “Net-Zero Framework,” aimed at reducing global greenhouse gas emissions from the international shipping sector. Whatever its stated goals, the proposed framework is effectively a global carbon tax on Americans levied by an unaccountable UN organization. These fuel standards would conveniently benefit China by requiring the use of expensive fuels unavailable at global scale. These standards would also preclude the use of proven technologies that fuel global shipping fleets, including lower emissions options where U.S. industry leads such as liquified natural gas (LNG) and biofuels. Under this framework, ships will have to pay fees for failing to meet unattainable fuel standards and emissions targets. These fees will drive up energy and transportation and leisure cruise costs. Even small vessels would incur millions of dollars in fees, directly driving up costs for American consumers. The Trump Administration unequivocally rejects this proposal before the IMO and will not tolerate any action that increases costs for our citizens, energy providers, shipping companies and their customers, or tourists. We will fight hard to protect the American people and their economic interests. Our fellow IMO members should be on notice that we will look for their support against this action and not hesitate to retaliate or explore remedies for our citizens should this endeavor fail. End Text.

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Texas PUC executes $216M loan for NRG 456-MW gas plant

NRG Energy will develop two gas units totaling 456 MW of capacity at its existing TH Wharton Generating Station in Houston, using a low-interest loan from the Texas Energy Fund that voters approved in 2023, state regulators announced on Aug. 4. The loan agreement between the Public Utility Commission of Texas and NRG is the second finalized under the TEF’s In-ERCOT Generation Loan Program, designed to incentivize development of new gas plants in the Electric Reliablility Council of Texas market. ERCOT, the grid operator for most of Texas, is anticipating about 152 GW of new load by 2030. “Demand for electricity across Texas is surging, and we’re working quickly to supply new dispatchable natural gas generation to the grid,” NRG Executive Vice President Robert Gaudette said in a statement. The new units are expected to begin generating next summer, NRG said. Last year, the commission selected 17 gas-fired generation projects totaling almost 10 GW to potentially receive state-backed loans. About a third of that capacity has been canceled or withdrawn amid escalating project costs and supply chain challenges, however. Under the loan agreement with NRG, total project costs are estimated to be less than $360 million, and the commission is providing a 20-year TEF loan up to $216 million, or 60% of total cost, at a 3% interest rate. The loan term runs through July 30, 2045. “This new power plant marks another major investment in Texas and in the ERCOT grid, helping prepare our state’s power supply to meet the demands of the future,” PUCT Chairman Thomas Gleeson said in a statement. “The Texas Energy Fund is accomplishing exactly what the Governor and the Texas Legislature envisioned — securing reliable, on-demand power to fuel Texas’ rapid growth and continued success.” The commission announced the first TEF loan in June

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Multidirectional flows of power and information are the grid’s future

Multidirectional flows of power and information are the grid’s future | Utility Dive Skip to main content An article from Deep Dive In the frenzy to meet rising energy demand, utilities and others often overlook the value of power system innovations, industry participants say. Published Aug. 12, 2025 Attendees listen to lab presentations as part of a workshop on advanced distribution management systems at the National Renewable Energy Laboratory’s campus in Golden, Colorado, on Dec. 12, 2024. Retrieved from Gregory Cooper/National Renewable Energy Laboratory. The 20th century grid’s one-way electron flow is dead. On today’s multidimensional, multidirectional 21st century system, new tools can ease the burden of rising demand while limiting customer costs. But in the frenzy to meet rising energy demand, utilities and others often overlook the value of power system innovations, industry sources, regulators and technology providers say. Instead, many are calling for restarting aged power plants and touting immature energy sources, which could increase electricity prices 25% by 2030, according to Energy Innovation projections. New generation and transmission infrastructure is needed. But a sophisticated set of power system optimizations could allow operators to reduce the need for costly new infrastructure by maximizing the flexibility of loads and resources. “New large loads impart costs to the system,” said Kay Aikin, founder and CEO of technology provider Dynamic Grid. But “both data centers and generation can be flexible assets that increase system diversity, which increases reliability.” Southern California Edison, for example, is investing in artificial intelligence-enhanced system management that gives operators visibility into the “complex series of inputs and outputs that shift constantly throughout the day,” said Jeff Monford, a spokesman for the utility. It is a “forward radar,” he said, “reshaping how we plan, operate and maintain the grid.” Former Federal Energy Regulatory Commission Chair Jon Wellinghoff, now CEO of consultant

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New Compute Exchange service answers GPU pricing queries

Compute Exchange and Silicon Data, Bochev added “are also working on developing clearer benchmarks for the compute market, and will have more details to share on that in the coming weeks.” PIC ‘should serve to keep suppliers honest ..’ Scott Bickley, an advisory fellow at Info-Tech Research Group, said he views the offering “as a way for enterprises to source short-term GPU capacity and possibly get a deal, especially if it is stranded capacity from the neocloud providers.” This, he said, “would also help to benchmark costs when purchasing this capacity in general, so it’s good, but it is also straightforward in terms of the value proposition.” He also noted that most companies are not buying GPU capacity directly; “This is for those that are building their own models or deploying their own AI applications atop existing models.” Bickley added, “it should serve to keep suppliers honest to some degree in terms of the floors and ceilings of the price to access GPU capacity.” Soon after Compute Exchange first launched in February, Matt Kimball, VP and principal analyst for data center compute and storage at Moor Insights & Strategy, described the GPU compute situation as “pretty dire. This is driven by what most view as a single supplier (Nvidia) selling GPUs before they can even be made to a market that has an insatiable thirst.” On Tuesday, following the announcement, he said that the concept of PIC is appealing: “I really like the idea of PIC as a tool for customers and seeing the compute exchange become an arbitrageur of sorts. This delivers a real value to [anyone] who is looking to utilize AI infrastructure,” he said.

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Data center sustainability efforts stall slightly in 2025

Data center operators reported limited advances—and even some declines—in energy efficiency, carbon tracking, and water usage due in part to rising power demand and easing regulatory pressure in some regions, according to the recently released results of the Uptime Institute’s 15th Annual Global Data Center Survey 2025. As artificial intelligence workloads continue to grow and legacy data centers remain operational, sustainability initiatives have stalled, according to the Uptime Institute, which attributes this in part to reporting challenges. Uptime Institute’s 2025 data center survey was conducted online from April 2025 to May 2025 and collected responses from more than 800 data center owners and operators and more than 1,000 vendors and consultants.  “What’s interesting this year is that we have seen a far from startling increase over the last few years of the data being collected, but this year it actually fell. And this obviously led to some speculation that there is a backing off of sustainability, and that it is no longer a high priority,” said Andy Lawrence, executive director of research at Uptime Institute, during a webinar sharing the survey results. “I think that the data center industry has not yet adapted to being very good at sustainability reporting.”

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Arista’s latest networking results: 4 critical takeaways

“We also think UALink is another spec that’s coming out, and that may run as an overlay on top of an Ethernet underlay. There needs to be some firm standards there because today, scale-up is frankly all proprietary NV Link. And we’re encouraged by—just like we worked hard to found the Ultra Ethernet Consortium as a member for some of the back-end Ethernet, and the migration from InfiniBand to Ethernet is literally happening in 3 to 5 years. We expect the same phenomenon on scale-up,” Ullal said. “The rise in Agentic AI ensures any-to-any conversations with bidirectional bandwidth utilization. Such AI agents are pushing the envelope of LAN and WAN traffic patterns in the enterprise,” Ullal said. Work to do on VeloCloud integration The recent acquisition of VeloCloud was also a hot topic of the second quarter results that included the introduction of former Cisco exec and industry veteran Todd Nightingale, as its newly appointed President & COO.  “It’s only been a month, but I can’t tell you how impressed I am with the passion and focus of the team, the trust that Arista customers have in the technology and the enormous opportunity we have ahead of us in data center, AI, and in the campus,” Nightingale said. “VeloCloud’s secure AI optimized WAN portfolio offers seamless application-aware solutions to connect customer branch sites, complementing Arista’s leading spines in the data center and campus,” Ullal said.  “In a classic leaf-spine atomic identifier, we are enabling multipathing, encryption, in-band network telemetry, segmentation, application identification, and traffic engineering across distributed enterprise sites. We are so excited to fill this missing void in our distributed enterprise puzzle to bring that holistic branch solution.” “We also intend to work closely with best-of-breed security partners to enable SASE overlays. Please do note that VeloCloud is not

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Enterprise tips for cloud success

The remaining tips were cited by roughly two-thirds of the enterprises. Tip number three is to look especially at applications whose users are widely dispersed. And by “widely” here, they mean on different continents, not just different neighborhoods. The reason is that quality of experience and even availability can be compromised when work has to transit a lot of networks just to get to where it’s processed. This can lead to user dissatisfaction, and dispersing resources closer to the users may be the only solution. If an enterprise doesn’t already have their own data center located close to each user concentration, chances are that putting a new hosting point in themselves couldn’t achieve reasonable economy of scale in capex, power and cooling, and operations costs. The cloud would be cheaper. A qualifying comment here is to take great care in evaluating the real impact of dispersion of application users. In some cases, there may not be enough of a difference in QoE or availability to require dispersing hosting points, and in fact it may be that where the application is hosted isn’t even the problem. “The cloud may look like the easy way out,” one enterprise said, “but it may not be the economical way.” See where your QoE issues really lie before you go to the cloud’s distributed hosting to fix them. Tip four is to examine the user-to-application interaction model carefully, to see if there’s a large non-transactional component. Mission-critical business systems, and business core databases, are almost always in the data center. The stuff that changes them are the transactions that add, update, and delete records. If an application’s user interaction is tightly coupled to the creation of transactions, then its processing is tied to those data center resources. That makes it harder to move the user-interface

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Stargate’s slow start reveals the real bottlenecks in scaling AI infrastructure

The CFO emphasized that SoftBank remains committed to its original target of $346 billion (JPY 500 billion) over 4 years for the Stargate project, noting that major sites have been selected in the US and preparations are taking place simultaneously across multiple fronts. Requests for comment to Stargate partners Nvidia, OpenAI, and Oracle remain unanswered. Infrastructure reality check for CIOs These challenges offer important lessons for enterprise IT leaders facing similar AI infrastructure decisions. Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research, said that Goto’s confirmation of delays “reflects a challenge CIOs see repeatedly” in partner onboarding delays, service activation slips, and revised delivery commitments from cloud and datacenter providers. Oishi Mazumder, senior analyst at Everest Group, noted that “SoftBank’s Stargate delays show that AI infrastructure is not constrained by compute or capital, but by land, energy, and stakeholder alignment.” The analyst emphasized that CIOs must treat AI infrastructure “as a cross-functional transformation, not an IT upgrade, demanding long-term, ecosystem-wide planning.” “Scaling AI infrastructure depends less on the technical readiness of servers or GPUs and more on the orchestration of distributed stakeholders — utilities, regulators, construction partners, hardware suppliers, and service providers — each with their own cadence and constraints,” Gogia said.

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Incentivizing the Digital Future: Inside America’s Race to Attract Data Centers

Across the United States, states are rolling out a wave of new tax incentives aimed squarely at attracting data centers, one of the country’s fastest-growing industries. Once clustered in only a handful of industry-friendly regions, today’s data-center boom is rapidly spreading, pushed along by profound shifts in federal policy, surging demand for artificial intelligence, and the drive toward digital transformation across every sector of the economy. Nowhere is this transformation more visible than in the intensifying state-by-state competition to land massive infrastructure investments, advanced technology jobs, and the alluring prospect of long-term economic growth. The past year alone has seen a record number of states introducing or expanding incentives for data centers, from tax credits to expedited permitting, reflecting a new era of proactive, tech-focused economic development policy. Behind these moves, federal initiatives and funding packages underscore the essential role of digital infrastructure as a national priority, encouraging states to lower barriers for data center construction and operation. As states watch their neighbors reap direct investment and job creation benefits, a real “domino effect” emerges: one state’s success becomes another’s blueprint, heightening the pressure and urgency to compete. Yet, this wave of incentives also exposes deeper questions about the local impact, community costs, and the evolving relationship between public policy and the tech industry. From federal levels to town halls, there are notable shifts in both opportunities and challenges shaping the landscape of digital infrastructure advancement. Industry Drivers: the Federal Push and Growth of AI The past year has witnessed a profound federal policy shift aimed squarely at accelerating U.S. digital infrastructure, especially for data centers in direct response both to the explosive growth of artificial intelligence and to intensifying international competition. In July 2025, the administration unveiled “America’s AI Action Plan,” accompanied by multiple executive orders that collectively redefined

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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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