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The IRA rollback is a disaster for energy. Industry leaders must move fast.

Anna Shpitsberg is principal of WattsNext Advisory and former chief climate officer at the Development Finance Corporation. Previously, she served as deputy assistant secretary of energy transformation at the U.S. Department of State. On July 4th, the budget reconciliation bill was signed into law, reversing course on a historic expansion of energy and manufacturing production […]

Anna Shpitsberg is principal of WattsNext Advisory and former chief climate officer at the Development Finance Corporation. Previously, she served as deputy assistant secretary of energy transformation at the U.S. Department of State.

On July 4th, the budget reconciliation bill was signed into law, reversing course on a historic expansion of energy and manufacturing production in the U.S. The consequences won’t just impact corporations — every consumer will feel the sting.

The impact will ripple through the economy. Developers, in particular, need to move from concern to action, expediting their procurement processes and locking in key milestones to qualify for expiring credits. The pressure mounted not only with the bill’s passage, but with the July 7th executive order “Ending Market Distorting Subsidies for Unreliable Foreign Controlled Energy Sources.”

The order instructs the Department of the Treasury and the Internal Revenue Service to issue tighter guidance on safe harbor provisions by Aug. 18, adding uncertainty to what qualifies as the “start of construction” and thereby eligible for clean energy tax credits.

The reconciliation bill and executive order:

  • accelerate credit phaseouts of technologies driving today’s growth in power capacity, with no exclusions for delays beyond control;
  • impose new conditions on foreign ownership, without accounting for supply chain integration; and
  • constrain credits for clean energy component manufacturing that spurred industrialization and job creation.

The combined impact is a recipe for economic drag and reverse growth, impacting jobs, electricity prices, investment and power supply.

The estimates are sobering. Energy Innovation projects 760,000 job losses by 2030, while a revised Center for Climate and Energy Solutions analysis projects over 2 million jobs could be lost over 10 years, with a $419 billion hit to GDP.

This doesn’t stop at the paycheck — it spills over to expenses. According to several studies, including the American Clean Power Association, electricity prices are expected to rise at least 10% owing to the increase in the cost of power projects. This increase would hit at a time when consumers are already strained by their utility bills. A survey conducted in April by the Smart Energy Consumer Collaborative found that a third of Americans struggle to pay their electricity bill. And that’s before factoring in the impact of new tariffs on critical grid components.

This economic stress comes just as the U.S. faces a power demand surge not seen in decades, one that will require investment in fast-to-market technologies such as solar and battery storage.

AI power demand, assuming access to power supply, is expected to add anywhere from 10 GW to 45 GW to the U.S. grid by 2030 — the upper bound is enough to supply 30 million households. The distribution of those costs is a highly debated topic, but the need to add supply quickly isn’t.

According to BloombergNEF, corporations announced 28 GW of clean energy power purchase agreements last year, with hyperscalers leading the charge. The United States is striving to remain dominant in AI, and the leaders of AI are equating their ability to scale with their ability to attain power. Policies that risk gigawatts of projects also risk putting that goal into limbo.

It’s not just domestic investment at risk — these policies also temper foreign direct investment. While leading the energy transformation team at the U.S. Department of State, I witnessed firsthand how the Inflation Reduction Act altered the investment landscape. International partners repeatedly told me that the U.S. threw a curveball that made them rethink how they plan to compete in the future of energy. At the same time, companies flooded in, eager to increase their U.S. presence not only in power projects but in manufacturing of their supply chains.

The U.S. was the market to be in with incentives and policy certainty. However, we have entered a time of regulatory ambiguity — a deterrent to investment and a snag on our credibility. We risk moving from a market of capital inflow to capital flight and becoming a cautionary tale.

Projects were being financed based on conditions set in the IRA. Accelerated phasedowns of clean energy credits, elimination of some credits altogether and new restrictions threaten the ability of projects to come into service. According to Segue Sustainable Infrastructure, 122 GW of projects could be canceled, equating to $211 billion in investment loss.

It is impossible to grow and sustain technological leadership while increasing policy uncertainty and widening the gap between goals and the tools to achieve those goals. The current package is not choosing fiscal responsibility over energy leadership. According to an analysis by the Penn Wharton Budget Model, the tax and spending law could reduce U.S. GDP by 0.3% and increase primary deficits by $3.2 trillion over 10 years.

Yet amid all the headwinds, demand is in industry’s favor, as it continues to climb. There will be losses, but the focus for utilities and system operators needs to be on stress testing their procurement plans under higher costs and delayed project timelines; vetting load requests in their territory; and conducting long-term planning to balance grid investment, reliability metrics and reasonable rates.

State policymakers should also evaluate the impact to economic growth and the labor market in their jurisdictions. As capital costs rise and project risk increases, states can support project viability by offering credit enhancement mechanisms, such as low-cost revolving loans or debt guarantees.

Developers that can move quickly may still meet qualifying deadlines. Those seeking technology-neutral tax credits for wind and solar projects must start construction by July 4, 2026 and be placed in service by the end of 2027. Projects that can start construction by the end of 2025 will avoid a new set of documentation requirements related to ownership and supply chains.

Historically, to show the start of construction, a taxpayer would need to either begin physical work on-site or off-site, or incur at least 5% of the project cost. But, the executive order issued on July 7th seeks a stricter definition that demonstrates a “substantial portion of a subject facility has been built.”

Developers and sponsors should engage the Treasury as they draft implementing guidelines to gain clarity on how best to schedule equipment orders and allocate labor. They should also share typical and best-case scenario timelines to support Treasury’s definition of “substantial.” In the meantime, documentation of supplier agreements, down payments on equipment, inspection logs and delivery receipts should all be reviewed for risk mitigation.

Equally important are the foreign entity of concern (FEOC) provisions that will disqualify projects that rely heavily on certain countries, including China, for equipment and investment. The guidance has expanded across technologies and use cases, and covers any “material assistance” from a FEOC country.

These changes will require meticulous due diligence, involving legal and finance teams, to evaluate ownership structure in equity and debt arrangements and exposure to FEOC across the supply chain.

This is the time for industry leadership. While policymakers work out implementation guidelines, industry leaders must move fast to hedge their risk. Some may even find opportunities — those who can demonstrate robust tracking and tracing protocols may be among the biggest winners in this environment.

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Blackstone to acquire majority stake in NetBrain Technologies

Global investment firm Blackstone announced it entered into an agreement to acquire a majority stake in network automation platform provider NetBrain Technologies. While financial details of the deal were not disclosed, Blackstone’s growth investment in NetBrain valued the technology provider at $750 million. “AI has the power to transform how

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CIOs recalibrate IT agendas to make room for rising AI spend

Moreover, they’re reporting that the executive drive for all things AI has them recalibrating their IT project agenda, prioritizing AI spending while bumping other items down or even off the to-do list. “Budgets are finite, and because AI investments are an imperative for CEOs, the boards, and CIOs to support

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IT leaders rethink talent strategies to cope with AI skills crunch

As a result, CIOs at most companies have a tougher time attracting machine learning engineers, prompt engineers, and other AI-specific talent, Goldberg says. That leaves many turning to AI consultants and training their existing data engineers, enterprise architects, and others so they can slide into those AI positions. “They’re assessing

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Oil Holds Steady Amid Trade Deal Hopes

Oil held steady as equities headed toward all-time highs on news of potential progress in trade talks between the US and the European Union, offsetting nascent signs of a softening physical market. West Texas Intermediate crude settled little changed above $65 a barrel, recovering from its lows of the day as risk assets rallied on reports the EU and the US are closing in on a deal that would impose 15% tariffs on European imports, similar to the agreement struck with Japan. Futures fell earlier in the session after the US Energy Information Administration reported that inventory levels at Cushing, Oklahoma, the delivery point for WTI futures, rose to the highest since June. Distillate reserves increased for a second straight week. Still, overall crude inventories fell, and diesel stockpiles remain at the lowest seasonal level since 1996, lending support to oil markets. “Cushing is perhaps the most important takeaway, with more builds expected in the weeks ahead to carry it away from historic lows,” said Matt Smith, Americas lead oil analyst at market intelligence firm Kpler. The stockpile data provided a downside catalyst to prices that had been drifting aimlessly amid mixed trade developments. While President Donald Trump unveiled deals with Japan and the Philippines, the European Union plans to quickly hit the US with 30% tariffs on billions of dollars worth of goods if no agreement is reached. US Treasury Secretary Scott Bessent said he’ll discuss a potential extension of the trade truce with China during talks in Stockholm next week. The discussions can now take on a broader array of topics, potentially including Beijing’s continued purchases of “sanctioned” oil from Russia and Iran, he said. Crude has traded in a relatively narrow range this month after a volatile June, when prices were jolted by the conflict between Israel

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Mexico Seeks Up to $10B in Debt Sale to Back Pemex

Mexico is looking to raise between $7 billion and $10 billion with a debt sale to shore up resources for battered state-owned oil company Petroleos Mexicanos, people familiar with the matter said.  The offering, disclosed in a filing earlier Tuesday, will consist of dollar-denominated debt maturing August 2030, in the form of amortizing pre-capitalized securities, or P-Caps, a type of instrument used in asset-backed finance.  The government “is implementing a series of measures to provide support to Pemex in the management and improvement of its balance sheet,” it said without providing details on the amount it plans to raise. Once issued, the P-Caps will not be consolidated with the liabilities of Pemex or Mexico, but “constitute public debt of the Mexican Government.”  Mexico’s finance ministry said in a statement that the operation would allow Pemex to address its short-term financial and operational needs. A Pemex spokesman didn’t respond to a request for comment. Pemex bonds jumped across the curve on the news, with notes due in 2050 up about 2 cents on the dollar, according to Trace data, the best performers in the high-yield space. Five-year credit-default swaps for the oil company sank 41 basis points.  Fitch Ratings placed Pemex on Ratings Watch Positive late on Tuesday, saying that if successful, the transaction will improve the Mexican government’s track record of support for the company. The reassessment may result in a multiple notch upgrade for the driller into the BB category, Fitch said. Mexico’s five-year CDS contracts, meanwhile, jumped almost 7 basis points to the highest level in a month, according to pricing data collected by Bloomberg. Sovereign dollar notes fell across the curve and were some of the worst performers in emerging markets on Tuesday. Support  President Claudia Sheinbaum’s administration has been working on a broad plan to shore

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PJM capacity prices set another record with 22% jump

Dive Brief: Capacity prices in the PJM Interconnection’s latest capacity auction hit a $329.17/MW-day price cap across its region, up 22% from a year ago for most of PJM, the grid operator said Tuesday. PJM expects the increase to record-high capacity prices for the 12-month period that starts in June 2026 could lead to 1.5% to 5% bill increases for some ratepayers, depending on what state they are in. PJM estimates that without a price cap that was established in an agreement with Pennsylvania Gov. Josh Shapiro, D, the capacity price for the 2026-27 delivery year would have been nearly $389/MW-day, or about 18% higher. Dive Insight: A year ago, PJM’s capacity auction sent shockwaves through its 13-state region when prices for the delivery year that started June 1 soared to $269.92/MW-day for most of its footprint, up from $28.92/MW-day. Prices in that auction hit zonal caps of $466.35/MW-day for the Baltimore Gas and Electric zone in Maryland, and $444.26/MW-day for the Dominion zone in Virginia and North Carolina. The 2024 auction’s total cost jumped to $14.7 billion from $2.2 billion. The cost of this year’s auction, which opened July 9 and closed July 15, climbed even higher to $16.1 billion, up 9.5% from a year ago. Capacity costs make up a relatively small part of electric bills, according to PJM. PJM capacity costs hit a record high The cost of PJM’s capacity auction in billions of dollars. In the auction, PJM bought 134,311 MW for the capacity year that starts June 1, according to the grid operator’s auction report. About 135,192 MW was offered in the auction, a decline from last year. PJM secured enough capacity to have an 18.9% reserve margin as forecast peak load grew by about 5,500 MW, mainly from data centers.  Gas-fired generation accounted for 45%

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DOE cancels $4.9B conditional loan commitment for Grain Belt Express

The U.S. Department of Energy on Wednesday announced it has terminated its $4.9 billion conditional loan commitment for the 800-mile Grain Belt Express Phase 1 transmission project. “After a thorough review of the project’s financials, DOE found that the conditions necessary to issue the guarantee are unlikely to be met and it is not critical for the federal government to have a role in supporting this project,” the agency said in a statement.  Chicago-based Invenergy plans to build the 5-GW Grain Belt Express in phases from Kansas to Illinois. In May, the company made almost $1.7 billion in contractor awards to engineering and infrastructure services companies Quanta Services and Kiewit Energy Group. Invenergy has said it aims to begin construction next year on the portion of the project connecting Kansas and Missouri. It estimates the project will provide $52 billion in energy cost savings to U.S. residents over 15 years. But Republicans have urged the Trump administration to cancel the conditional loan commitment. Missouri Attorney General Andrew Bailey on March 6 urged the Department of Government Efficiency to cancel the loan guarantee, arguing that the Midcontinent Independent System Operator’s transmission plans and business case analyses are “highly biased in favor of over-building transmission.” Republican Sen. Josh Hawley, also from Missouri, said July 10 on X that he had spoken with President Donald Trump and Energy Secretary Chris Wright about canceling the loan commitment. “Wright said he will be putting a stop to the Grain Belt Express green scam. It’s costing taxpayers BILLIONS! Thank you, President Trump,” he wrote on July 10. Grain Belt Express developers responded in a letter to Wright on July 11. The proposed transmission line “has been the target of egregious politically motivated lawfare,” Grain Belt Express Vice President Jim Shield wrote. “Recent false accusations from Senator

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Microgrid ‘energy parks’ could ease strain from rising power demand, report says

Dive Brief: In order to accommodate spiking electricity demand in the U.S., the capabilities of the existing power system should be leveraged using tools like grid-enhancing technologies, and new loads should be co-located in “energy parks” — large microgrids — to minimize the need for transmission upgrades, according to a Tuesday report that the Brattle Group prepared for the Clean Air Task Force. The report recommends states and utilities consider “scaling up promising demand-side programs” and providing targeted incentives for them to customers. Energy efficiency technologies, distributed energy resources, time-varying rates and demand response can “create more headroom in the electricity system to accommodate more load growth,” it says. The report also recommends avoiding the need for costly transmission upgrades as much as possible by creating energy parks, “where large electricity consumers are co-located with generation assets that can be dispatched for grid-related needs, which can offer significantly faster grid access for new loads.” Dive Insight: Several energy parks are already in development, including the $1 billion Meitner Project in Texas, which is “developing 460 MW of wind and 340 MW of solar to power 400 MW of hydrogen electrolyzers,” the report says. It also notes that Google plans to invest $20 billion in energy parks by the end of the decade “to power data centers using solar and battery storage, with the first project expected to be operational in 2026 and complete in 2027.” “To facilitate this co-location arrangement, transmission operators and owners should adopt interconnection processes that appropriately reflect the operation of colocated load and generation, and offer expedited screening processes given the controllable, non-firm nature of their grid injections,” the report says. In December, Grid Strategies issued a report estimating that U.S. electricity demand could rise 128 GW over the next five years — a five-fold increase

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Shippers, Traders Avoid Nayara Energy following EU Blacklisting

Shipowners and oil traders are staying away from Russia-backed Nayara Energy Ltd. as part of the fallout faced by the Indian refiner, after it was singled out in the latest round of European Union sanctions. At least one oil tanker, the Talara, u-turned and sailed away from Vadinar port on Sunday, according to Bloomberg ship-tracking data. The vessel was meant to pick up a cargo of fuel – likely diesel – from Nayara, shipbrokers said. The booking was cancelled following Friday’s sanction, they said, and the cargo was not loaded.  Another tanker, the Chang Hang Xing Yun, that was on its way to Vadinar this week, halted off the southwestern coast of India, ballasting, ship-tracking data and chartering fixtures show. The ship is now heading to the Arabian Gulf to pick up cargoes bound for southern Africa, after its previous plans to load products from Vadinar were cancelled yesterday, shipbrokers said. Shipbrokers added owners have become wary of dealings with Nayara this week, be it fuel exports or crude imports. Rosneft PJSC holds a 49.13 percent stake in the Indian processor.  Global oil market observers are waiting to see if the hesitation among shipowners will spread beyond logistics to trading counterparties and even financiers. Indian refiners have been seeking more clarity from the EU in the past days on a variety of matters including Nayara’s blacklist and a ban on the diesel supplies made from Russian crude.  Owners from Greece to Norway control a significant portion of the world’s shipping fleet, with companies likely to adhere to EU restrictions to some extent. Since the Ukraine war in 2022, however, Greek owners have played a crucial role in the Russian oil trade, particularly when barrels were below the price cap.  Talara’s diversion adds to the concerns surrounding Nayara, after it sought advance payment or

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Technology is coming so fast data centers are obsolete by the time they launch

 Tariffs aside, Enderle feels that AI technology and ancillary technology around it like battery backup is still in the early stages of development and there will be significant changes coming in the next few years. GPUs from AMD and Nvidia are the primary processors for AI, and they are derived from video game accelerators. They were never meant for use in AI processing, but they are being fine-tuned for the task.  It’s better to wait to get a more mature product than something that is still in a relatively early state. But Alan Howard, senior analyst for data center infrastructure at Omdia, disagrees and says not to wait. One reason is the rate at which people that are building data centers is all about seizing market opportunity.” You must have a certain amount of capacity to make sure that you can execute on strategies meant to capture more market share.” The same sentiment exists on the colocation side, where there is a considerable shortage of capacity as demand outstrips supply. “To say, well, let’s wait and see if maybe we’ll be able to build a better, more efficient data center by not building anything for a couple of years. That’s just straight up not going to happen,” said Howard. “By waiting, you’re going to miss market opportunities. And these companies are all in it to make money. And so, the almighty dollar rules,” he added. Howard acknowledges that by the time you design and build the data center, it’s obsolete. The question is, does that mean it can’t do anything? “I mean, if you start today on a data center that’s going to be full of [Nvidia] Blackwells, and let’s say you deploy in two years when they’ve already retired Blackwell, and they’re making something completely new. Is that data

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‘Significant’ outage at Alaska Airlines not a security incident, but a hardware breakdown

The airline told Network World that when the critical piece of what it described as “third-party multi-redundant hardware” failed unexpectedly, “it impacted several of our key systems that enable us to run various operations.” The company is currently working with its vendor to replace the faulty equipment at the data center. The airline has cancelled more than 150 flights since Sunday evening, including 64 on Monday. The company said additional flight disruptions are likely as it repositions aircraft and crews throughout its network. Alaska Airlines emphasized that the safety of its flights was never compromised, and that “the IT outage is not related to any other current events, and it’s not connected to the recent cybersecurity incident at Hawaiian Airlines.” The airline did not provide additional information to Network World about the specifics of the outage. “There are many redundant components that can fail,” said Roberts, noting that it could have been something as simple as a RAID array (which combines multiple physical data storage components into one or more logical units). Or, on the network side, it could have been the failure of a pair of load balancers. “It’s interesting that redundancy didn’t save them,” said Roberts. “Perhaps multiple pieces of hardware were impacted by the same issue, like a firmware update. Or, maybe they’re just really unlucky.”

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Cisco upgrades 400G optical receiver to boost AI infrastructure throughput

“In the data center, what’s really changed in the last year or so is that with AI buildouts, there’s much, much more optics that are part of 400G and 800G. It’s not so much using 10G and 25G optics, which we still sell a ton of, for campus applications. But for AI infrastructure, the 400G and 800G optics are really the dominant optics for that application,” Gartner said. Most of the AI infrastructure builds have been for training models, especially in hyperscaler environments, Gartner said. “I expect, towards the tail end of this year, we’ll start to see more enterprises deploying AI infrastructure for inference. And once they do that, because it has an Nvidia GPU attached to it, it’s going to be a 400G or 800G optic.” Core enterprise applications – such as real-time trading, high-frequency transactions, multi-cloud communications, cybersecurity analytics, network forensics, and industrial IoT – can also utilize the higher network throughput, Gartner said. 

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Supermicro bets big on 4-socket X14 servers to regain enterprise trust

In April, Dell announced its PowerEdge R470, R570, R670, and R770 servers with Intel Xeon 6 Processors with P-cores, but with single and double-socket servers. Similarly, Lenovo’s ThinkSystem V4 servers are also based on the Intel Xeon 6 processor but are limited to dual socket configurations. The launch of 4-socket servers by Supermicro reflects a growing enterprise need for localized compute that can support memory-bound AI and reduce the complexity of distributed architectures. “The modern 4-socket servers solve multiple pain points that have intensified with GenAI and memory-intensive analytics. Enterprises are increasingly challenged by latency, interconnect complexity, and power budgets in distributed environments. High-capacity, scale-up servers provide an architecture that is more aligned with low-latency, large-model processing, especially where data residency or compliance constraints limit cloud elasticity,” said Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research. “Launching a 4-socket Xeon 6 platform and packaging it within their modular ‘building block’ strategy shows Supermicro is focusing on staying ahead in enterprise and AI data center compute,” said Devroop Dhar, co-founder and MD at Primus Partner. A critical launch after major setbacks Experts peg this to be Supermicro’s most significant product launch since it became mired in governance and regulatory controversies. In 2024, the company lost Ernst & Young, its second auditor in two years, following allegations by Hindenburg Research involving accounting irregularities and the alleged export of sensitive chips to sanctioned entities. Compounding its troubles, Elon Musk’s AI startup xAI redirected its AI server orders to Dell, a move that reportedly cost Supermicro billions in potential revenue and damaged its standing in the hyperscaler ecosystem. Earlier this year, HPE signed a $1 billion contract to provide AI servers for X, a deal Supermicro was also bidding for. “The X14 launch marks a strategic reinforcement for Supermicro, showcasing its commitment

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

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

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

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

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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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