Stay Ahead, Stay ONMINE

Schneider Electric to invest $700M in US manufacturing

Dive Brief: Automation manufacturer Schneider Electric plans to invest $700 million in its U.S. operations through 2027, the company announced Tuesday. The money will go toward facility upgrades, expansions and openings across eight sites in Texas, Tennessee, Ohio, North Carolina, Massachusetts and Missouri. Schneider expects to create more than 1,000 jobs.  The move marks Schneider’s […]

Dive Brief:

  • Automation manufacturer Schneider Electric plans to invest $700 million in its U.S. operations through 2027, the company announced Tuesday.
  • The money will go toward facility upgrades, expansions and openings across eight sites in Texas, Tennessee, Ohio, North Carolina, Massachusetts and Missouri. Schneider expects to create more than 1,000 jobs. 
  • The move marks Schneider’s largest-ever investment in the U.S., as the company aims to meet rising demand across its data center, utilities, manufacturing and energy infrastructure segments.

Dive Insight:

Schneider’s announcement is part of a larger $1 billion investment the company is making in the U.S. this decade. 

Artificial intelligence-driven demand for data centers and electrical infrastructure is driving the need for heightened spending on electrical grid-related needs. Data center electricity demand could double by 2030 — consuming up to 9% of the country’s electricity generation, according to a May 2024 study by the Electric Power Research Institute.

“We stand at an inflection point for the technology and industrial sectors in the U.S., driven by incredible AI growth and unprecedented energy demand,” Aamir Paul, president of North America Operations for Schneider Electric, said in a statement. 

Schneider has been pushing a localization strategy in recent months, with a goal to locally source and produce roughly 90% of sales in each region. That push could help the company weather the Trump administration’s tariffs on Mexico, where Schneider has much of its North American production. 

CFO Hilary Maxson said on a recent earnings call that the company is watching for any reciprocal tariffs that may impact their operations. If the United States-Mexico-Canada Agreement remains in place, Maxson said the impact to Schneider would likely be “immaterial.” If the trade deal and free trade zones are repealed, however, the CFO added that the hit to the company could be greater. 

“We’re really preparing the commercial actions that we would put into place to protect our profitability,” Maxson said on the call. 

The company plans to invest across its U.S. supply chain, including at the following sites:

  • Mt. Juliet, Tennessee: Schneider will build a new facility adjacent to its recently announced plant, part of a plan to expand in the medium voltage market and bring new products to the U.S. 
  • Andover, Massachusetts: Funding will go towards Schneider’s recently opened new data center and microgrid research laboratory, part of its research and development hub at the site. 
  • Columbia, Missouri: Schneider will expand production to include higher capacity for molded case circuit breakers and air circuit breakers. 
  • Fairfield, Ohio: The facility will receive a renovation to include advanced technology and software for new products. 
  • El Paso, Texas: Schneider will expand the plant for greater switchgear and power distribution production. 
  • Houston: The company unveiled plans earlier this month to open a new innovation center focused on AI-driven automation solutions. 
  • Raleigh, North Carolina: Schneider plans to open a robotics center.
  • Welcome, North Carolina: The company will update existing space for switchgear and power distribution production. 

Schneider is coming off of a strong 2024, with annual revenue outpacing forecasts to hit 38.2 billion euros. Fourth quarter revenue was bolstered by growth in its North American energy management business, up 25% year over year, thanks in large part to data center demand.

Shape
Shape
Stay Ahead

Explore More Insights

Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

Shape

Ubuntu namespace vulnerability should be addressed quickly: Expert

Thus, “there is little impact of not ‘patching’ the vulnerability,” he said. “Organizations using centralized configuration tools like Ansible may deploy these changes with regularly scheduled maintenance or reboot windows.”  Features supposed to improve security Ironically, last October Ubuntu introduced AppArmor-based features to improve security by reducing the attack surface

Read More »

Google Cloud partners with mLogica to offer mainframe modernization

Other than the partnership with mLogica, Google Cloud also offers a variety of other mainframe migration tools, including Radis and G4 that can be employed to modernize specific applications. Enterprises can also use a combination of migration tools to modernize their mainframe applications. Some of these tools include the Gemini-powered

Read More »

Northern Lights CCS Consortium to Invest $700 Million in Phase 2

Equinor ASA, Shell PLC and TotalEnergies SE have approved the second phase of the Northern Lights carbon, capture and storage (CCS) project in Norway with a NOK 7.5 billion ($700 million) investment. Phase 2 will raise Northern Lights’ capacity from 1.5 million metric tons per annum (MMtpa) to over 5 MMtpa. The expansion will leverage existing onshore and offshore infrastructures and install new onshore storage tanks, pumps, a jetty and injection wells, as well as commission new transport vessels, according to TotalEnergies. The partners expect to put phase 2 into service 2028. They reached a final investment decision after signing a 15-year agreement with Swedish district energy provider Stockholm Exergi AB for the cross-border transport and storage of 900,000 metric tons of biogenic carbon dioxide emissions annually starting 2028. Five companies have now agreed contracts with Northern Lights, the others being Heidelberg Materials and Celsio in Norway, Yara in the Netherlands and Ørsted in Denmark. “In addition, Northern Lights is in advanced discussions with several large European industrial customers to market the remaining storage capacity”, TotalEnergies said in an online statement. Phase 1 has been completed and is expected to start operation this summer by serving Heidelberg Materials. A ship will carry CO2 from Heidelberg Materials’ cement factory in Brevik for injection into an undersea reservoir in Øygarden the French energy giant said. Equinor said separately, “The first phase of the Northern Lights project aimed to demonstrate feasibility of a new business model, solutions, and operations through collaboration among authorities, customers and project partners”. “With strong support by the Norwegian government’s Longship initiative, phase one is fully booked”, the Norwegian majority state-owned company said. Launched September 2020 by the Norwegian government, Longship is a full-scale CCS project aimed to demonstrate the capture of CO2 from industrial emitters for safe transport and storage.

Read More »

North America Extends Rig Loss Streak

North America dropped 18 rigs week on week, according to Baker Hughes’ latest North America rotary rig count, which was released on March 28. The total U.S. rig count decreased by one week on week and the total Canada rig count decreased by 17 during the same period, taking the total North America rig count down to 755, comprising 592 rigs from the U.S. and 163 from Canada, the count outlined. Of the total U.S. rig count of 592, 575 rigs are categorized as land rigs, 14 are categorized as offshore rigs, and three are categorized as inland water rigs. The total U.S. rig count is made up of 484 oil rigs, 103 gas rigs, and five miscellaneous rigs, according to the count, which revealed that the U.S. total comprises 529 horizontal rigs, 50 directional rigs, and 13 vertical rigs. Week on week, the U.S. inland water and offshore rig counts remained unchanged, and the country’s land rig count dropped by one, the count highlighted. The U.S. gas rig count increased by one, its oil rig count decreased by two, and its miscellaneous rig count remained unchanged, week on week, the count showed. Baker Hughes’ count revealed that the U.S. horizontal rig count decreased by three week on week, while the country’s directional and vertical rig counts each increased by one during the period. A major state variances subcategory included in the rig count showed that, week on week, Ohio added one rig and New Mexico and Pennsylvania each dropped one rig. A major basin variances subcategory included in Baker Hughes’ rig count showed that the Permian basin dropped three rigs and the Marcellus basin dropped one rig week on week. The Granite Wash, Haynesville, and Utica basins each added one rig during the period, according to the count. Canada’s

Read More »

What your grid models aren’t telling you about electric vehicles

As utilities work to support affordability, clean energy and resiliency goals, one load stands apart: electric vehicles. EVs aren’t just incremental load growth. They are a fundamentally unique type of load, arriving quickly. Tens of millions more EVs will plug into the grid by 2030. Most are being connected by customers without grid coordination, creating large, unmanaged loads across the grid. Unlike HVAC systems or water heaters, EVs don’t follow predictable patterns. Drivers plug in at different times in different locations. A single vehicle can double or triple a household’s demand. Distribution systems weren’t built for this type of strain. But with the right foundation, EVs can become flexible grid assets that support, rather than constrain, distribution operations. Electric vehicles, a load that stresses the distribution system Circuits and transformers were designed for steady, predictable growth, not for fast-growing and sudden load spikes. Even at low levels of system-wide EV adoption, just a few clustered EVs on a street charging at the same time are overloading transformers, forcing distribution planners to implement early replacements. Both models and real world data continue to show that unmanaged EV charging can significantly accelerate infrastructure overloads and upgrade needs. EV impacts on local infrastructure rarely coincide with system peaks. They occur at different times, often at night, and in disparate places across the grid, creating bottom-up stress that conventional planning and bulk system-level demand management tools don’t address Other loads are also adding pressure. Data centers, heat pumps and electrified buildings are increasing the need for capacity. Meanwhile, infrastructure costs and construction timelines have increased by as much as 4-9x in recent years. Utilities need smarter tools to manage this complexity affordably and reliably—and quickly. Why traditional load-shifting tools aren’t enough Utilities have used demand response and time-of-use rates to manage peak load for

Read More »

Harnessing climatology to avert tomorrow’s black swan natural catastrophe

For risk managers at electric utilities, the specter of wildfire and extreme weather events looms large. We’ve all heard the term “Black Swan”; the unpredictable, high-impact event that reshapes our understanding of risk. Yet, is the electric utility industry truly equipped to anticipate and mitigate these increasingly frequent catastrophes, particularly when it comes to wildfire and extreme weather? My passion for this topic stems from a career spent on all sides of the wildfire problem. From issuing red flag warnings at the National Weather Service to analyzing risk at leading electric utilities, I’ve seen firsthand the critical importance of context. It’s not enough to simply react to current weather conditions. Electric utilities must understand the climatological backdrop against which these events unfold. The “Black Swan” concept originated in finance, describing events that are highly improbable, yet massively consequential. For electric utilities, the increasing frequency of wildfire and extreme weather events demands a paradigm shift. Utilities can no longer rely solely on traditional weather forecasts. They must delve into climatology to truly understand the risk to effectively plan operations.   The October 2007 firestorm around San Diego, CA, was a stark reminder of this reality. I recall working those red flag warnings from the National Weather Service and conveying the message of high winds and fire danger. But, a retired utility leader once told me that if only they had truly understood just how severe that event was going to be, maybe things would have been different. This single comment illuminated a crucial gap for me: the disconnect between a general warning and the visceral understanding of an unprecedented event. The severe conditions fueling the 2007 firestorm – maximum wind gusts akin to a Category 2 hurricane and extremely dry conditions – were of a magnitude beyond anything seen in San

Read More »

PowerPlan announces NXT: 30 years of industry expertise, now powered by AI

ATLANTA — March 24, 2025 — PowerPlan, Inc., a leading provider of financial software solutions for the energy industry, today announced PowerPlan NXT at its 2025 ELEVATE user conference in Atlanta. The new SaaS platform empowers tax and accounting professionals to optimize financial assets throughout their lifecycle. Purpose-built for asset-intensive companies, NXT integrates operational and financial data to facilitate specialized accounting treatments, accommodate complex tax requirements and support rate-making processes. “NXT is the next-generation tax and accounting solution that organizations need to tackle complex financial challenges with confidence,” said Todd Bransford, Chief Product Officer, PowerPlan. “It includes all the robust features our customers count on from PowerPlan, now with a reimagined user experience and infused with AI. This innovation ensures they can maximize their financial performance with even greater efficiency and ease.” During the afternoon keynote, Bransford provided an overview of the NXT platform and its expected benefits. As part of the ELEVATE Solution Zone, attendees this week can preview the new innovations, including AI-based enhancements that will identify and reduce data quality errors, yielding better financial outcomes downstream. NXT reinforces PowerPlan’s continued investment in SaaS solutions as more customers transition critical enterprise products to the cloud. Today, customers can kick-start their cloud journey with Tax Fixed Assets (TFA), the premier solution for tax depreciation and deferred tax processes trusted by more than 20 leading utility companies nationwide. Building on the momentum of TFA, PowerPlan is set to launch a new tax provision solution in late 2025, which supports critical monthly provision accruals for businesses in regulated industries. PowerPlan NXT will be available in 2026 and is adoptable on a modular basis, allowing each customer to prioritize and implement their most critical financial tools—no matter where they are in their cloud journey. For more information on PowerPlan NXT, visit www.powerplan.com/NXT.

Read More »

CNOOC Makes ‘Major’ Oil and Gas Discovery in South China Sea

CNOOC Ltd. announced Monday a “major” discovery in the Huizhou 19-6 oilfield in the South China Sea. Well HZ19-6-3 has raised the field’s proven in-place volumes to over 100 million metric tons of oil equivalent. During testing the discovery well produced 413 barrels of oil and 2.41 million cubic feet of natural gas a day. Drilled to 5,415 meters (17,765.75 feet), the well encountered 127 meters of oil and gas pay zones, the state-backed oil and gas exploration and production company said in a press release. Huizhou 19-6 sits in the eastern South China Sea at an average water depth of about 100 meters. “The main oil-bearing plays are Paleogene Enping Formation and Wenchang Formation, and the oil property is light crude”, said CNOOC Ltd., majority-owned by China National Offshore Oil Corp. (CNOOC). CNOOC Ltd. chief geologist Xu Changgui commented, “In recent years, CNOOC Limited has strengthened the research on exploration theory and technology of the deep and ultra-deep plays in the South China Sea, and breakthroughs have been achieved”. “This discovery has confirmed the largest integrated clastic oilfield in the northern South China Sea in terms of original oil in place, breaking the traditional theoretical understanding, and demonstrating the enormous exploration potential of deep and ultra-deep plays in high-temperature and highly active basins offshore China”, Xu added. CNOOC Ltd. chief executive Zhou Xinhuai noted, “Oilfields with hundred-million-ton oil in-place have been discovered in this area for two consecutive years, making it a new driver of the offshore oil and gas production growth”. HZ19-6-3 is the second discovery declared by CNOOC Ltd. this year, following WZ10-5-1Sa in the Weizhou 10-5 field. Drilled to a total depth of about 4,840 meters in an area with an average water depth of 37 meters, WZ10-5-1Sa showed a pay zone of 283 meters. During

Read More »

Airtel connects India with 100Tbps submarine cable

“Businesses are becoming increasingly global and digital-first, with industries such as financial services, data centers, and social media platforms relying heavily on real-time, uninterrupted data flow,” Sinha added. The 2Africa Pearls submarine cable system spans 45,000 kilometers, involving a consortium of global telecommunications leaders including Bayobab, China Mobile International, Meta, Orange, Telecom Egypt, Vodafone Group, and WIOCC. Alcatel Submarine Networks is responsible for the cable’s manufacturing and installation, the statement added. This cable system is part of a broader global effort to enhance international digital connectivity. Unlike traditional telecommunications infrastructure, the 2Africa Pearls project represents a collaborative approach to solving complex global communication challenges. “The 100 Tbps capacity of the 2Africa Pearls cable significantly surpasses most existing submarine cable systems, positioning India as a key hub for high-speed connectivity between Africa, Europe, and Asia,” said Prabhu Ram, VP for Industry Research Group at CyberMedia Research. According to Sinha, Airtel’s infrastructure now spans “over 400,000 route kilometers across 34+ cables, connecting 50 countries across five continents. This expansive infrastructure ensures businesses and individuals stay seamlessly connected, wherever they are.” Gogia further emphasizes the broader implications, noting, “What also stands out is the partnership behind this — Airtel working with Meta and center3 signals a broader shift. India is no longer just a consumer of global connectivity. We’re finally shaping the routes, not just using them.”

Read More »

Former Arista COO launches NextHop AI for customized networking infrastructure

Sadana argued that unlike traditional networking where an IT person can just plug a cable into a port and it works, AI networking requires intricate, custom solutions. The core challenge is creating highly optimized, efficient networking infrastructure that can support massive AI compute clusters with minimal inefficiencies. How NextHop is looking to change the game for hyperscale networking NextHop AI is working directly alongside its hyperscaler customers to develop and build customized networking solutions. “We are here to build the most efficient AI networking solutions that are out there,” Sadana said. More specifically, Sadana said that NextHop is looking to help hyperscalers in several ways including: Compressing product development cycles: “Companies that are doing things on their own can compress their product development cycle by six to 12 months when they partner with us,” he said. Exploring multiple technological alternatives: Sadana noted that hyperscalers might try and build on their own and will often only be able to explore one or two alternative approaches. With NextHop, Sadana said his company will enable them to explore four to six different alternatives. Achieving incremental efficiency gains: At the massive cloud scale that hyperscalers operate, even an incremental one percent improvement can have an oversized outcome. “You have to make AI clusters as efficient as possible for the world to use all the AI applications at the right cost structure, at the right economics, for this to be successful,” Sadana said. “So we are participating by making that infrastructure layer a lot more efficient for cloud customers, or the hyperscalers, which, in turn, of course, gives the benefits to all of these software companies trying to run AI applications in these cloud companies.” Technical innovations: Beyond traditional networking In terms of what the company is actually building now, NextHop is developing specialized network switches

Read More »

Microsoft abandons data center projects as OpenAI considers its own, hinting at a market shift

A potential ‘oversupply position’ In a new research note, TD Cowan analysts reportedly said that Microsoft has walked away from new data center projects in the US and Europe, purportedly due to an oversupply of compute clusters that power AI. This follows reports from TD Cowen in February that Microsoft had “cancelled leases in the US totaling a couple of hundred megawatts” of data center capacity. The researchers noted that the company’s pullback was a sign of it “potentially being in an oversupply position,” with demand forecasts lowered. OpenAI, for its part, has reportedly discussed purchasing billions of dollars’ worth of data storage hardware and software to increase its computing power and decrease its reliance on hyperscalers. This fits with its planned Stargate Project, a $500 billion, US President Donald Trump-endorsed initiative to build out its AI infrastructure in the US over the next four years. Based on the easing of exclusivity between the two companies, analysts say these moves aren’t surprising. “When looking at storage in the cloud — especially as it relates to use in AI — it is incredibly expensive,” said Matt Kimball, VP and principal analyst for data center compute and storage at Moor Insights & Strategy. “Those expenses climb even higher as the volume of storage and movement of data grows,” he pointed out. “It is only smart for any business to perform a cost analysis of whether storage is better managed in the cloud or on-prem, and moving forward in a direction that delivers the best performance, best security, and best operational efficiency at the lowest cost.”

Read More »

PEAK:AIO adds power, density to AI storage server

There is also the fact that many people working with AI are not IT professionals, such as professors, biochemists, scientists, doctors, clinicians, and they don’t have a traditional enterprise department or a data center. “It’s run by people that wouldn’t really know, nor want to know, what storage is,” he said. While the new AI Data Server is a Dell design, PEAK:AIO has worked with Lenovo, Supermicro, and HPE as well as Dell over the past four years, offering to convert their off the shelf storage servers into hyper fast, very AI-specific, cheap, specific storage servers that work with all the protocols at Nvidia, like NVLink, along with NFS and NVMe over Fabric. It also greatly increased storage capacity by going with 61TB drives from Solidigm. SSDs from the major server vendors typically maxed out at 15TB, according to the vendor. PEAK:AIO competes with VAST, WekaIO, NetApp, Pure Storage and many others in the growing AI workload storage arena. PEAK:AIO’s AI Data Server is available now.

Read More »

SoftBank to buy Ampere for $6.5B, fueling Arm-based server market competition

SoftBank’s announcement suggests Ampere will collaborate with other SBG companies, potentially creating a powerful ecosystem of Arm-based computing solutions. This collaboration could extend to SoftBank’s numerous portfolio companies, including Korean/Japanese web giant LY Corp, ByteDance (TikTok’s parent company), and various AI startups. If SoftBank successfully steers its portfolio companies toward Ampere processors, it could accelerate the shift away from x86 architecture in data centers worldwide. Questions remain about Arm’s server strategy The acquisition, however, raises questions about how SoftBank will balance its investments in both Arm and Ampere, given their potentially competing server CPU strategies. Arm’s recent move to design and sell its own server processors to Meta signaled a major strategic shift that already put it in direct competition with its own customers, including Qualcomm and Nvidia. “In technology licensing where an entity is both provider and competitor, boundaries are typically well-defined without special preferences beyond potential first-mover advantages,” Kawoosa explained. “Arm will likely continue making independent licensing decisions that serve its broader interests rather than favoring Ampere, as the company can’t risk alienating its established high-volume customers.” Industry analysts speculate that SoftBank might position Arm to focus on custom designs for hyperscale customers while allowing Ampere to dominate the market for more standardized server processors. Alternatively, the two companies could be merged or realigned to present a unified strategy against incumbents Intel and AMD. “While Arm currently dominates processor architecture, particularly for energy-efficient designs, the landscape isn’t static,” Kawoosa added. “The semiconductor industry is approaching a potential inflection point, and we may witness fundamental disruptions in the next 3-5 years — similar to how OpenAI transformed the AI landscape. SoftBank appears to be maximizing its Arm investments while preparing for this coming paradigm shift in processor architecture.”

Read More »

Nvidia, xAI and two energy giants join genAI infrastructure initiative

The new AIP members will “further strengthen the partnership’s technology leadership as the platform seeks to invest in new and expanded AI infrastructure. Nvidia will also continue in its role as a technical advisor to AIP, leveraging its expertise in accelerated computing and AI factories to inform the deployment of next-generation AI data center infrastructure,” the group’s statement said. “Additionally, GE Vernova and NextEra Energy have agreed to collaborate with AIP to accelerate the scaling of critical and diverse energy solutions for AI data centers. GE Vernova will also work with AIP and its partners on supply chain planning and in delivering innovative and high efficiency energy solutions.” The group claimed, without offering any specifics, that it “has attracted significant capital and partner interest since its inception in September 2024, highlighting the growing demand for AI-ready data centers and power solutions.” The statement said the group will try to raise “$30 billion in capital from investors, asset owners, and corporations, which in turn will mobilize up to $100 billion in total investment potential when including debt financing.” Forrester’s Nguyen also noted that the influence of two of the new members — xAI, owned by Elon Musk, along with Nvidia — could easily help with fundraising. Musk “with his connections, he does not make small quiet moves,” Nguyen said. “As for Nvidia, they are the face of AI. Everything they do attracts attention.” Info-Tech’s Bickley said that the astronomical dollars involved in genAI investments is mind-boggling. And yet even more investment is needed — a lot more.

Read More »

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.

Read More »

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

Read More »

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

Read More »

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

Read More »