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Big tech must stop passing the cost of its spiking energy needs onto the public

Julianne Malveaux is an MIT-educated economist, author, educator and political commentator who has written extensively about the critical relationship between public policy, corporate accountability and social equity.  The rapid expansion of data centers across the U.S. is not only reshaping the digital economy but also threatening to overwhelm our energy infrastructure. These data centers aren’t […]

Julianne Malveaux is an MIT-educated economist, author, educator and political commentator who has written extensively about the critical relationship between public policy, corporate accountability and social equity. 

The rapid expansion of data centers across the U.S. is not only reshaping the digital economy but also threatening to overwhelm our energy infrastructure. These data centers aren’t just heavy on processing power — they’re heavy on our shared energy infrastructure. For Americans, this could mean serious sticker shock when it comes to their energy bills.

Across the country, many households are already feeling the pinch as utilities ramp up investments in costly new infrastructure to power these data centers. With costs almost certain to rise as more data centers come online, state policymakers and energy companies must act now to protect consumers. We need new policies that ensure the cost of these projects is carried by the wealthy big tech companies that profit from them, not by regular energy consumers such as family households and small businesses.

According to an analysis from consulting firm Bain & Co., data centers could require more than $2 trillion in new energy resources globally, with U.S. demand alone potentially outpacing supply in the next few years. This unprecedented growth is fueled by the expansion of generative AI, cloud computing and other tech innovations that require massive computing power. Bain’s analysis warns that, to meet this energy demand, U.S. utilities may need to boost annual generation capacity by as much as 26% by 2028 — a staggering jump compared to the 5% yearly increases of the past two decades.

This poses a threat to energy affordability and reliability for millions of Americans. Bain’s research estimates that capital investments required to meet data center needs could incrementally raise consumer bills by 1% each year through 2032. That increase may seem small at first, but it can add up quickly for households already struggling with high energy prices. As utilities attempt to pay for these upgrades, the burden could fall on consumers’ shoulders unless policies are enacted to make the tech companies driving this demand handle the costs.

One example comes from Ohio, where the boom in data centers means central Ohio is on track to use as much power as Manhattan by 2030. There, the state’s largest energy company, American Electric Power, has proposed a new rate structure for data centers that requires them to pay at least 85% of their predicted energy demand every month, even if they use less, to ensure the utility won’t need to pass off costs for expanded infrastructure to consumers.

States could also consider passing legislation to impose a temporary tax on new high-usage energy consumers, like data centers, cryptocurrency miners and chip manufacturing facilities. Those tax dollars could go directly into an energy relief fund, which could be used to offset increased energy costs for current consumers, either through a tax rebate or by funding the construction and maintenance of new infrastructure, so those costs aren’t passed down to consumers in the first place.

There’s opportunity here, too, for policymakers, utilities and data centers to join forces and help drive the clean energy revolution. Policymakers could provide incentives for data centers that adopt energy-saving measures or include renewable energy sources to offset the burden on utilities and consumers. By encouraging tech companies to produce a certain percentage of their own energy on-site, states can reduce the need for costly grid expansions while promoting green energy initiatives.

Tech companies have already pushed back against efforts to implement such policies, with a coalition of data center backers that includes Amazon, Microsoft and Meta claiming in Ohio that requiring them to pay higher rates is discriminatory and unprecedented, and that it could discourage future investment in Ohio.

The reality, however, is that these tech companies can and should carry the burden of the new energy infrastructure they’re demanding. Amazon’s net earnings for 2023 were $30.4 billion. Microsoft brought in $72.4 billion. Meta? $39 billion. Passing on a fraction of these profits to fund the infrastructure that drives this wealth is a small price to pay to ensure fair treatment of energy consumers.

The massive energy demand created by these new data centers is unprecedented. And that’s exactly why it’s important for policymakers and utilities to take action now, and set a precedent that protects average consumers by requiring tech companies to pay their fair share for the electricity they need.

If left unaddressed, the unchecked growth of data centers will continue to threaten energy security and affordability for millions of Americans. States and energy companies must adopt policies to prevent the burden of rising electricity demands and prices from falling disproportionately on everyday energy consumers. By ensuring that tech companies contribute fairly to the infrastructure that sustains them, we can build a more sustainable and equitable energy future for all.

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SolarWinds buys Squadcast to speed incident response

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Tariffs won’t impact IT organizations, for now anyway

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Baker Hughes to Support Frontier’s CCS, Power Projects

Baker Hughes Co. and Frontier Carbon Solutions LLC have launched a partnership under which Baker Hughes will provide its technology to Frontier’s carbon capture and storage (CCS) and electricity generation projects. Houston, Texas-based Baker Hughes will provide carbon dioxide (CO2) compression, well design and its industrial NovaLT gas turbines, giving Dallas, Texas-based Frontier “greater efficiencies and resources for project development”, a joint statement said. One of the CCS projects is the Sweetwater Carbon Storage Hub in Wyoming. Spanning nearly 100,000 acres, “the hub is designed to support industrial emitters across the region and ethanol facilities across the Midwest utilizing its [Frontier’s] CO2-by-rail strategy, establishing Frontier as a new standard for scalable carbon storage infrastructure”, the companies said. “Frontier currently holds three Class VI permits and has commenced drilling activities on its first wells with first injection commencing year-end 2025”. The CCS hub is planned to have a permanent storage capacity of 400,000 metric tons a year. The captured CO2 would be sequestered in the Nugget Formation, a geological reservoir with a projected 99 percent CO2 retention rate over 1,000 years. A preliminary analysis by carbon management consultancy EcoEngineers found up to 85 percent CO2 removal efficiency, “allowing for significant volumes of verified CDR credits starting in 2026”, Frontier said December 13, 2024, announcing the project. The partnership with Baker Hughes will also support Frontier’s plan to build 256 megawatts of natural gas-fired power production, “designed to meet the increasing power demands across Wyoming, the broader Mountain West, and Texas – particularly driven by the rapid expansion of data centers and industrial operations”, the companies said. Robby Rockey, president and co-chief executive of Frontier, commented, “By integrating gas-fired energy with the potential for permanent carbon storage, we are creating a direct, reliable power solution tailored to evolving industrial needs”. “Baker Hughes’ leadership in turbine technology, drilling

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Macquarie Strategists Forecast USA Crude Inventory Build

In an oil and gas report sent to Rigzone late Monday by the Macquarie team, Macquarie strategists revealed that they are forecasting that U.S. crude inventories will be up by 1.2 million barrels for the week ending February 28. “This compares to a 2.3 million barrel draw realized for the week ending February 21, with the crude balance realizing moderately tighter than we had anticipated amidst surprisingly strong crude runs,” the strategists stated in the report. “For this week’s balance, from refineries, we model crude runs up slightly (+0.1 million barrels per day). Among net imports, we model a modest increase, with exports lower (-0.3 million barrels per day) and imports up minimally on a nominal basis,” they added. The strategists noted in the report that the 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 bounce (+0.3 million barrels per day) this week. Rounding out the picture, we anticipate no change in SPR [Strategic Petroleum Reserve] stocks again this week,” the strategists said in the report. “Among products, we look for builds in gasoline (+1.3 million barrels) and jet (+0.3 million barrels), with a distillate draw (-1.2 million barrels),” they added. “We model implied demand for these three products at ~14.5 million barrels per day for the week ending February 28,” they went on to state. U.S. commercial crude oil inventories, excluding those in the SPR, decreased by 2.3 million barrels from the week ending February 14 to the week ending February 21, the U.S. Energy Information Administration (EIA) highlighted in its latest weekly petroleum status report at the time of writing. That EIA report was released on February 26 and included data for the week ending February 21. It showed that crude oil stocks,

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Aberdeen’s Xodus expands with acquisition of Daymark

Aberdeen-headquartered Xodus Group has expanded its North American footprint buying up Daymark Energy Advisors. The value of the deal was undisclosed, but it adds 40 people across 23 USA states and two Canadian provinces to Xodus’ global operations. The addition of the Worcester, Massachusetts-based consultancy will bolster Xodus’ advisory capability on power networks, including technical challenges, regulatory frameworks and the market pricing dynamics associated with transmission and distribution (T&D) of electricity from source to demand. Daymark, which was employee-owned, will also add knowledge of battery storage and onshore wind and solar, as well as sustainable aviation fuels (SAF), Daymark chief executive Marc Montalvo, who took on the leadership role at the 45-year old firm ten years ago, is expected to remain with the firm as it integrates with Xodus. A spokesman for Xodus said Montalvo will be “an integral part of the Daymark team as we complete the integration and will be key to our plans to grow this capability globally”. Xodus, which is owned by energy services giant Subsea 7, currently employs 600 people. Xodus chief executive Steve Swindell said: “Xodus was founded 20 years ago to deliver independent, integrated thinking to the energy industry. “The energy landscape has evolved beyond recognition in that time and the needs of the industry have changed. Xodus wants to continue to be at the forefront of delivering integrated advice to the industry and acquiring Daymark Energy Advisors supports this effort. “Our involvement in energy transition projects has grown considerably, with many developments either delivering electrons to the grid or drawing upon power from the grid / local power source in the production of hydrogen or the storage of carbon. “Daymark brings deep knowledge and an integrated view of energy infrastructure, regulation, and markets to help clients succeed in the face of uncertainty and

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Statkraft hails ‘best in history’ results despite major profits slump

Norwegian energy giant Statkraft said its performance in 2024 was “among the best” in its history despite “substantially lower power prices” which hit profits. The state-owned utility said its operating profit for the fourth quarter fell by 56% while net profit fell to NOK 1.5 billion (£140 million) in the fourth quarter from NOK 6bn the year prior. Nevertheless the firm insisted its underlying EBIT was “among the best in Statkraft’s history” despite having achieved “substantially lower power prices”. In 2024, Statkraft revealed plans to “sharpen” its strategy, focusing on the Nordics, Europe and South America. Since it opened its first UK office in 2006, Statkraft has invested billions in renewable energy infrastructure projects, including onshore wind, battery storage and pumped storage hydro across Scotland and England. © Supplied by StatkraftStatkraft battery asset. The company has a UK investment pipeline of more than £4bn, with almost 20 consented projects including two BESS schemes at Coylton and Neilston in Scotland. Statkraft said total power generation was up to 66.3 TWh in 2024 compared to 61.9 TWh in 2023. The seven per cent increase year-on-year was primarily related to new wind power assets in Brazil and Spain and higher generation from the gas-fired power plants in Germany. The hydropower generation in the Nordics was 0.7 TWh lower than in 2023. Statkraft president and chief executive Birgitte Ringstad Vartdal said: “Statkraft delivered one of our strongest annual results, only outperformed by results driven by the exceptionally high prices during the energy crisis. “I am proud of the results the organisation has achieved in 2024, driven by solid operations, record-strong energy management and continued high value-creation in our market activities. “We are investing heavily in maintaining and upgrading our Norwegian hydropower assets, while developing and optimising a portfolio of renewable energy projects to build

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“Inconsistency” in approval of BP and Equinor’s Net Zero Teesside, court hears

An appeal court heard that a High Court ruling over emissions from the Net Zero Teesside (NZT) power gas project was “wrong” to conclude Energy Secretary Ed Miliband was unaware of the planning inspector’s guidance. Campaigner Dr Andrew Boswell’s legal claim against BP and Equinor’s plans to develop a gas-fired power station with carbon capture in Teesside was heard in the Court of Appeal in London Tuesday. Represented by law firm Leigh Day, he argued that calculation errors made by the developers will mean that the power station will emit more greenhouse gas emissions than initially declared. © Supplied by ShutterstockSecretary of State for Energy Security and Net Zero Ed Milliband While the revised emissions calculation was accepted by Miliband, the project was nevertheless granted approval in February 2024, on the basis that it would “help deliver the government’s net zero commitment” by 2050. According to Boswell’s legal case, those higher than anticipated emissions are at odds with the UK’s net zero commitments. At stake is whether BP and Equinor’s flagship NZT power station will contribute towards the government’s net zero targets. The project was awarded funding under track one of the UK government’s £21.7 billion carbon capture and storage scheme alongside a major carbon capture and storage facility known as the Northern Endurance Partnership (NEP). Boswell’s claim was initially dismissed by a judge in the High Court last year, but he was granted permission to appeal in September 2024. Judge Nathalie Lieven had rejected the claim in August on the basis that Miliband did not need to rely on the Institute of Environmental Management and Assessment (IEMA) guidance that a panel of planning inspectors used to evaluate emissions. An appeal was nevertheless granted in September on the basis that the judge had erred in determining that the secretary did

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AI driving a 165% rise in data center power demand by 2030

Goldman Sachs Research estimates the power usage by the global data center market to be around 55 gigawatts, which breaks down as 54% for cloud computing workloads, 32% for traditional line of business workloads and 14% for AI. By 2027, that number jumps to 84 GW, with AI growing to 27% of the overall market, cloud dropping to 50%, and traditional workloads falling to 23%, Schneider stated. Goldman Sachs Research estimates that there will be around 122 GW of data center capacity online by the end of 2030, and the density of power use in data centers is likely to grow as well, from 162 kilowatts per square foot to 176 KW per square foot in 2027, thanks to AI, Schneider stated.  “Data center supply — specifically the rate at which incremental supply is built — has been constrained over the past 18 months,” Schneider wrote. These constraints have arisen from the inability of utilities to expand transmission capacity because of permitting delays, supply chain bottlenecks, and infrastructure that is both costly and time-intensive to upgrade. The result is that due to power demand from data centers, there will need to be additional utility investment, to the tune of about $720 billion of grid spending through 2030. And then they are subject to the pace of public utilities, which move much slower than hyperscalers. “These transmission projects can take several years to permit, and then several more to build, creating another potential bottleneck for data center growth if the regions are not proactive about this given the lead time,” Schneider wrote.

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Top data storage certifications to sharpen your skills

Organization: Hitachi Vantara Skills acquired: Knowledge of data center infrastructure management tasks automation using Hitachi Ops Center Automator. Price: $100 Exam duration: 60 minutes How to prepare: Knowledge of all storage-related operations from an end-user perspective, including planning, allocating, and managing storage and architecting storage layouts. Read more about Hitachi Vantara’s training and certification options here. Certifications that bundle cloud, networking and storage skills AWS Certified Solutions Architect – Professional The AWS Certified Solutions Architect – Professional certification from leading cloud provider Amazon Web Services (AWS) helps individuals showcase advanced knowledge and skills in optimizing security, cost, and performance, and automating manual processes. The certification is a means for organizations to identify and develop talent with these skills for implementing cloud initiatives, according to AWS. The ideal candidate has the ability to evaluate cloud application requirements, make architectural recommendations for deployment of applications on AWS, and provide expert guidance on architectural design across multiple applications and projects within a complex organization, AWS says. Certified individuals report increased credibility with technical colleagues and customers as a result of earning this certification, it says. Organization: Amazon Web Services Skills acquired: Helps individuals showcase skills in optimizing security, cost, and performance, and automating manual processes Price: $300 Exam duration: 180 minutes How to prepare: The recommended experience prior to taking the exam is two or more years of experience in using AWS services to design and implement cloud solutions Cisco Certified Internetwork Expert (CCIE) Data Center The Cisco CCIE Data Center certification enables individuals to demonstrate advanced skills to plan, design, deploy, operate, and optimize complex data center networks. They will gain comprehensive expertise in orchestrating data center infrastructure, focusing on seamless integration of networking, compute, and storage components. Other skills gained include building scalable, low-latency, high-performance networks that are optimized to support artificial intelligence (AI)

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Netskope expands SASE footprint, bolsters AI and automation

Netskope is expanding its global presence by adding multiple regions to its NewEdge carrier-grade infrastructure, which now includes more than 75 locations to ensure processing remains close to end users. The secure access service edge (SASE) provider also enhanced its digital experience monitoring (DEM) capabilities with AI-powered root-cause analysis and automated network diagnostics. “We are announcing continued expansion of our infrastructure and our continued focus on resilience. I’m a believer that nothing gets adopted if end users don’t have a great experience,” says Netskope CEO Sanjay Beri. “We monitor traffic, we have multiple carriers in every one of our more than 75 regions, and when traffic goes from us to that destination, the path is direct.” Netskope added regions including data centers in Calgary, Helsinki, Lisbon, and Prague as well as expanded existing NewEdge regions including data centers in Bogota, Jeddah, Osaka, and New York City. Each data center offers customers a range of SASE capabilities including cloud firewalls, secure web gateway (SWG), inline cloud access security broker (CASB), zero trust network access (ZTNA), SD-WAN, secure service edge (SSE), and threat protection. The additional locations enable Netskope to provide coverage for more than 220 countries and territories with 200 NewEdge Localization Zones, which deliver a local direct-to-net digital experience for users, the company says.

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Inside the Nuclear Race for Data Center Energy with Aalo Atomics CEO Matt Loszak

The latest episode of the DCF Show podcast delves into one of the most pressing challenges facing the data center industry today: the search for sustainable, high-density power solutions. And how, as hyperscale operators like Google and Meta contend with growing energy demands—and, in some cases, resistance from utilities unwilling or unable to support their expanding footprints—the conversation around nuclear energy has intensified.  Both legacy nuclear providers and innovative startups are racing to secure the future business of data center giants, each bringing unique approaches to the table. Our guest for this podcast episode is Matt Loszak, co-founder and CEO of Aalo Atomics, an Austin-based company that’s taking a fresh approach to nuclear energy. Aalo, which secured a $29.5 million Series A funding round in 2024, stands out in the nuclear sector with its 10-megawatt sodium-cooled reactor design—eliminating the need for water, a critical advantage for siting flexibility. Inspired by the Department of Energy’s MARVEL microreactor, Aalo’s technology benefits from direct expertise, as the company’s CTO was the chief architect behind MARVEL. Beyond reactor design, Aalo’s vision extends to full-scale modular plant production. Instead of just building reactors, the company aims to manufacture entire nuclear plants using prefabricated, LEGO-style components. The fully modular plants, shipped in standard containers, are designed to match the footprint of a data center while requiring no onsite water—features that could make them particularly attractive to hyperscale operators seeking localized, high-density power.  Aalo has already made significant strides, with the Department of Energy identifying land at Idaho National Laboratory (INL) as a potential site for its first nuclear facility. The company is on an accelerated timeline, expecting to complete a non-nuclear prototype within three months and break ground on its first nuclear reactor in about a year—remarkably fast progress for the nuclear industry. In our discussion,

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Does It Matter If Microsoft Is Cancelling AI Data Center Leases?

Strategic Reallocation: Microsoft is a major owner and operator of data centers and might be reallocating resources to in-house infrastructure rather than leased spaces. Supply Chain Delays: TD Cowen noted that Microsoft used power and facility delays as justifications for voiding agreements, a tactic previously employed by Meta. Oversupply Issues: Analysts at TD Cowen speculate that Microsoft may have overestimated AI demand, leading to an excess in capacity. As it is all speculation, it could simply be that the latest information has driven Microsoft to reevaluate demand and move to more closely align projected supply with projected demand. Microsoft has reiterated their commitment to spend $80 billion on AI in the coming year. Reallocating this spending internally or wit a different set of partners remains on the table. And when you put the TD Cowen report that Microsoft has cancelled leases for “a couple hundred megawatts” into context with Microsoft’s overall leased power, which is estimated at around 20 GW, you see that more than 98% of their energy commitment remains unchanged. Investment Markets Might See the Biggest Hits Microsoft’s retreat has had ripple effects on the stock market, particularly among energy and infrastructure companies. European firms like Schneider Electric and Siemens Energy experienced a decline in stock value, indicating fears that major AI companies might scale back energy-intensive data center investments. However, at press time we have not seen any other indicators that this is an issue as despite these concerns about potential AI overcapacity, major tech firms continue to invest heavily in AI infrastructure:         Amazon: Pledged $100 billion towards AI data centers.         Alphabet (Google): Committed $75 billion.         Meta (Facebook): Planning to spend up to $65 billion.         Alibaba: Announced a $53 billion investment over the next three years. If we see a rush of announcements

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Dual Feed: Vantage Data Centers, VoltaGrid, Equinix, Bloom Energy, Constellation, Calpine

Nuclear Giant Constellation Acquires Natural Gas Stalwart Calpine, Creating the Largest U.S. Clean Energy Provider On January 10, 2025, Constellation (Nasdaq: CEG) announced a definitive agreement to acquire Calpine Corp. in a $16.4 billion cash-and-stock transaction, including the assumption of $12.7 billion in net debt.  A landmark transaction, the acquisition positions Constellation as the largest clean energy provider in the United States, significantly enhancing its generation portfolio with natural gas and geothermal assets. With an expanded coast-to-coast footprint, the combined company will provide 60 GW of power, reinforcing grid reliability and offering businesses and consumers a broader array of sustainability solutions. The move strengthens Constellation’s competitive retail electricity presence, serving 2.5 million customers across key U.S. markets, including Texas, California, and the Northeast. “This acquisition will help us better serve our customers across America, from families to businesses and utilities,” said Joe Dominguez, president and CEO of Constellation. “By combining Constellation’s unmatched expertise in zero-emission nuclear energy with Calpine’s industry-leading, low-carbon natural gas and geothermal generation, we can deliver the most comprehensive clean energy portfolio in the industry.” A Strategic Move for the Data Center Industry With skyrocketing demand for AI and cloud services, data centers are under increasing pressure to secure reliable, low-carbon energy sources. The Constellation-Calpine combination is particularly relevant for large-scale hyperscale operators and colocation providers seeking flexible energy solutions.  For the data center industry, this consolidation offers several advantages: Diverse Energy Mix: The integration of nuclear, geothermal, and low-emission natural gas provides data centers with flexible and reliable energy options. Grid Stability: Calpine’s extensive natural gas fleet enhances grid reliability, crucial for data centers operating in high-demand regions. Sustainability Initiatives: The combined entity is well-positioned to invest in clean energy infrastructure, including battery storage and carbon sequestration, aligning with the sustainability goals of hyperscale operators. The

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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