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Switch storm coming: Gartner forecasts price hikes, long lead times for enterprise data center switches

“If you’re a vendor and you’re doing what you’re supposed to do, you want to capture the growth,” he says. Zeus Kerravala, founder and principal analyst with ZK Research, agrees. “Cisco, Arista, Juniper and those companies that build data center equipment, make no mistake, their resources are directed towards AI first because they want to […]

“If you’re a vendor and you’re doing what you’re supposed to do, you want to capture the growth,” he says.

Zeus Kerravala, founder and principal analyst with ZK Research, agrees. “Cisco, Arista, Juniper and those companies that build data center equipment, make no mistake, their resources are directed towards AI first because they want to be part of those big buildouts,” he says. “There’s a lot of money being poured into neoclouds, things like that. They’ve reprioritized the resources based on where market demand is.”

Price hikes, long lead times, sketchy support

The repercussions for companies with traditional data centers include higher prices, long lead times, and perhaps subpar support.

Gartner predicts switch price increases of 15% to 40%, largely the result of resource constraints, and lead times of three to nine months, up from one to two months in mid-2025. Constraints should ease by around the middle of next year, but don’t expect prices to come down.

“Generally speaking, vendors have no consistent track record of reducing prices in these networking markets,” Lerner says.

At the same time, with vendors dedicating scarce engineering talent to AI, they likely won’t invest in significant innovations for non-AI switch families. The same goes for support.

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Netskope launches AI agents for SOC and NOC automation

“Netskope AI agents are specifically designed with platform workflows in mind and deeply embedded within the architecture,” said Rich Davis, director of product and solutions marketing at Netskope, in an interview with Network World. Running agents directly on data sources reduces the need to move large volumes of data to

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Oil prices touch 4-year high as Iran crisis continues

Brent crude briefly surged above $126/bbl on Apr. 30, marking a 4-year high, as escalating tensions surrounding the Iran conflict intensified concerns over prolonged disruptions to Middle East oil flows. Stay updated on oil price volatility, shipping disruptions, LNG market analysis, and production output at OGJ’s Iran war content hub. The price spike reflects a market increasingly driven by geopolitical risk. The ongoing US–Iran standoff has effectively curtailed shipping activity through the Strait of Hormuz, a critical artery for global crude trade, with negotiations showing little progress toward reopening the route. President Donald Trump reiterated that a US naval blockade of Iran would remain in place until Tehran abandons its nuclear ambitions, reinforcing expectations of a prolonged supply disruption. Amid these disruptions, US crude exports have surged, highlighting the country’s growing role as a global swing supplier. According to the US Energy Information Administration (EIA), US crude exports rose to a record 6.44 million b/d in the latest reporting week, driving the US to become a net crude exporter on a weekly basis for the first time since World War II. The shift was accompanied by a 6.2 million-bbl draw in US commercial crude inventories, underscoring the tightness in global supply as buyers in Europe and Asia turn to US barrels to offset Middle East disruptions. Meanwhile, policy and macroeconomic signals added another layer of complexity. The Federal Reserve held interest rates steady in its Apr. 29 meeting, citing persistent uncertainty around inflation and growth, particularly as higher energy prices threaten to feed into broader economic conditions. US gasoline prices have followed crude higher, rising to $4.30/gal on Apr. 30, reflecting tightening refined product balances ahead of the summer driving season.

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Expand Energy prepared to slow completion work if prices weaken further

Expand produced nearly 7.44 bcfed during the first quarter (93% natural gas), which was up nearly 10% from the first three months of 2025. Of that production, 46% came from assets in the Haynesville basin (up from about 39% a year earlier), 37% from Northeast Appalachia and the remainder from Southwest Appalachia. Wichterich, who in February replaced Nick Dell’Osso while Expand’s directors search for a new permanent leader, is looking to have full-year 2026 production average about 7.5 bcfed while deploying between 11 and 12 rigs and six to seven completion crews. The current quarter will feature some seasonal curtailments, executives said, and production is expected to remain flat from early this year. “We are in the right place at the right time,” Wichterich said on the conference call. “Our assets are reaching 90% of the expected demand growth in this country and our Haynesville [operation] is sitting at the epicenter of growth because of the LNG market. We think we are in the best position to take advantage of that.” On the LNG front, Expand executives this week signed a 20-year sales and purchase agreement with Delfin FLNG Vessel 1 that calls for Expand to supply about 1.15 million tpa. That contract replaces previous deals with Delfin and Gunvor Group and calls for the gas to be sold at a Henry Hub price and to start flowing in 2031. Expand produced a first-quarter net profit of $1.16 billion on total revenues of $4.4 billion. Those numbers were an improvement from early 2025, when the company lost $249 million on $2.2 billion in sales, the latter figure hampered by $1 billion loss on derivatives. Shares of Expand (Ticker: EXE) were up nearly 3% to about $99.50 in afternoon trading on April 29. Over the last six months, they’re essentially flat

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Woodside appoints Lonnie as EVP, COO Australia

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ConocoPhillips adds to Permian basin capex in 2026

ConocoPhillips’ capex in the first quarter was a little more than $2.9 billion, of which $1.5 billion went to activity in the Lower 48 and $949 million was allocated to Alaska, where teams are working on the Western North Slope and in the Greater Kuparuk Area. Spending last year was $12.6 billion. Lance called the incremental investments now on the books “no-brainers” that are “going to keep our efficient machine running.” Looking longer term, he added, the ConocoPhillips team thinks the Iran war will move the price of oil “up a little bit, at least relative to where we were before the conflict started.” That will inform executives’ 2027 planning process but is not a driver of this latest capex increase. Stay updated on oil price volatility, shipping disruptions, LNG market analysis, and production output at OGJ’s Iran war content hub. “Recall, we were pretty constructive over the last few years before this got started with some uncertainty around how the physical and paper markets were acting […] and this has just accelerated a lot of that,” Lance said. “The floor probably has to come up to account for the changes that have occurred over the last couple of months.” Shares of ConocoPhillips (Ticker: COP) slipped 2% to about $126 after the earnings report and conference call. Over the past 6 months, shares are still up more than 40%, a rise that has grown the operator’s market capitalization to more than $153 billion.

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Venezuela signs agreements with international operators under new hydrocarbon law

These international partnerships aim to unlock Venezuela’s vast hydrocarbon resources, including natural gas and heavy oil, with companies investing in exploration, production, and infrastructure projects, amid a changing legal landscape that favors joint ventures and direct management. May 1, 2026 2 min read Key Highlights Major oil and gas operators have signed deals with the Venezuelan government aimed at increasing exploration, production under reformed hydrocarbon law. bp, Eni, Repsol, Chevron, and Shell have all signed deals to expand exploration and production in the country.

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ExxonMobil CEO: Venezuela ‘a huge resource…opened up more freely to the world’

A few months later, ExxonMobil upstream president Dan Ammann told a conference audience in Houston that the company had an evaluation team on the ground. At the time, Ammann said the operator would be evaluating infrastructure readiness, fiscal terms, and stability to support long‑cycle upstream investment before any commitment to large‑scale redevelopment in the country. On the earnings call May 1, CEO Woods called Venezuela “a huge resource that’s now opened up more freely to the world.” He said work by the oil and gas industry, the Trump administration, and the government of Venezuela continues “to get the context of that opportunity shaped” to represent attractive investment opportunities. “The oil in Venezuela is very heavy and therefore requires a lot of effort to get the production up and get it onto the market,” Woods said, noting that the company’s continued technology advancements in Canada’s heavy-oil region “positions [ExxonMobil] uniquely in terms of low-cost production of the Venezuela resources…when the context is right and the investment and the returns look promising.” Wood said given the right set of circumstances, ExxonMobil could “apply that technology and produce those barrels at a much lower cost of supply than many of our competitors.”

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Switch storm coming: Gartner forecasts price hikes, long lead times for enterprise data center switches

“If you’re a vendor and you’re doing what you’re supposed to do, you want to capture the growth,” he says. Zeus Kerravala, founder and principal analyst with ZK Research, agrees. “Cisco, Arista, Juniper and those companies that build data center equipment, make no mistake, their resources are directed towards AI first because they want to be part of those big buildouts,” he says. “There’s a lot of money being poured into neoclouds, things like that. They’ve reprioritized the resources based on where market demand is.” Price hikes, long lead times, sketchy support The repercussions for companies with traditional data centers include higher prices, long lead times, and perhaps subpar support. Gartner predicts switch price increases of 15% to 40%, largely the result of resource constraints, and lead times of three to nine months, up from one to two months in mid-2025. Constraints should ease by around the middle of next year, but don’t expect prices to come down. “Generally speaking, vendors have no consistent track record of reducing prices in these networking markets,” Lerner says. At the same time, with vendors dedicating scarce engineering talent to AI, they likely won’t invest in significant innovations for non-AI switch families. The same goes for support.

Read More »

Build Fast, Pay Your Way: Washington’s AI Infrastructure Doctrine

In the first quarter of 2026, the U.S. government made one point unmistakable. Washington wants more data center capacity, more AI infrastructure, and more domestic power. But it no longer views these projects as conventional commercial real estate. Across the White House, DOE, FERC, EPA, EIA, and the federal permitting apparatus, data centers are now being treated as strategic infrastructure. That designation brings tangible support in the form of faster permitting, access to federal land, and a more explicit embrace of large-scale power development. It also comes with conditions: stricter expectations around who funds transmission upgrades, who provides new generation, how water is managed, and how much operational data operators must disclose. This is the new federal posture: accelerate the buildout, but impose discipline on its consequences. Washington is not pulling back in the face of local opposition. It is pushing forward, while making clear that the next phase of data center growth must carry its own infrastructure burden. Who Will Pay? The question is no longer whether the United States will support the next wave of hyperscale and AI campus construction. The question is under what terms, and whether utilities, communities, and ratepayers will be asked to subsidize it. The outcome of that debate will be set less by local politics than by the federal rules now taking shape. The clearest signal came on March 4, when President Trump announced the “Ratepayer Protection Pledge.” Amazon, Google, Meta, Microsoft, OpenAI, Oracle, and xAI committed to “build, bring, or buy” new generation for their data centers and to fund the full cost of required grid and transmission upgrades. The administration also said those companies would coordinate with grid operators to provide backup generation in emergencies. The message was direct: data centers can grow, but the costs and reliability risks tied to

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300 MW Hyperscaler Lease Validates Applied Digital’s AI Infrastructure Financing Model

The Model Behind the Lease Applied Digital is packaging a full development solution for AI infrastructure: site, utility access, power distribution, cooling systems, and a financing framework capable of supporting multi-hundred-megawatt deployments. The approach reduces the integration burden on hyperscale customers and aligns delivery with the scale and timelines of AI demand. The Delta Forge 1 lease indicates that at least one major hyperscaler is willing to commit to that model on a long-term basis. The scale of the agreement reinforces that point. The lease accounts for 300 MW within a 430 MW campus, with capacity structured across two 150 MW buildings. The agreement spans two leases and includes three five-year renewal options, establishing a long-duration footprint at the site. This level of commitment effectively anchors the first phase of Delta Forge 1 and provides a clear validation of the campus’s initial buildout. Financing Follows the Lease Applied Digital paired the Delta Forge 1 tenant announcement with a financing update that underscores the link between signed demand and capital formation. The company expects to secure up to $600 million in additional funding, including a senior secured bridge facility of up to $300 million to support continued development at Polaris Forge 1, along with a $300 million revolving credit facility for development, working capital, and transaction expenses. The structure highlights how hyperscaler commitments can be translated into financing capacity across a broader platform. The Delta Forge 1 lease functions as a catalyst for the next phase of capital deployment. That momentum builds on a financing-heavy stretch. In its April 8 fiscal third-quarter results, Applied Digital disclosed a $2.15 billion private offering of 6.750% senior secured notes due 2031 to support Polaris Forge 2. The company also detailed credit enhancements tied to CoreWeave leases at Polaris Forge 1 following an investment-grade A3

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DCF Poll: Risks in the Data Center Pipeline

Matt Vincent is Editor in Chief of Data Center Frontier, where he leads editorial strategy and coverage focused on the infrastructure powering cloud computing, artificial intelligence, and the digital economy. A veteran B2B technology journalist with more than two decades of experience, Vincent specializes in the intersection of data centers, power, cooling, and emerging AI-era infrastructure. Since assuming the EIC role in 2023, he has helped guide Data Center Frontier’s coverage of the industry’s transition into the gigawatt-scale AI era, with a focus on hyperscale development, behind-the-meter power strategies, liquid cooling architectures, and the evolving energy demands of high-density compute, while working closely with the Digital Infrastructure Group at Endeavor Business Media to expand the brand’s analytical and multimedia footprint. Vincent also hosts The Data Center Frontier Show podcast, where he interviews industry leaders across hyperscale, colocation, utilities, and the data center supply chain to examine the technologies and business models reshaping digital infrastructure. Since its inception he serves as Head of Content for the Data Center Frontier Trends Summit. Before becoming Editor in Chief, he served in multiple senior editorial roles across Endeavor Business Media’s digital infrastructure portfolio, with coverage spanning data centers and hyperscale infrastructure, structured cabling and networking, telecom and datacom, IP physical security, and wireless and Pro AV markets. He began his career in 2005 within PennWell’s Advanced Technology Division and later held senior editorial positions supporting brands such as Cabling Installation & Maintenance, Lightwave Online, Broadband Technology Report, and Smart Buildings Technology. Vincent is a frequent moderator, interviewer, and keynote speaker at industry events including the HPC Forum, where he delivers forward-looking analysis on how AI and high-performance computing are reshaping digital infrastructure. He graduated with honors from Indiana University Bloomington with a B.A. in English Literature and Creative Writing and lives in southern New Hampshire with

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Scenes from the great data center revolt

However, Paul Morris, executive director of the Military Installation Development Authority (MIDA), which oversees the project, told the Salt Lake Tribune that it has a deal with a natural gas utility that has a pipeline running directly through the land on which the data center will be built to provide all of the power needed. “One hundred percent of the power will be generated off the Ruby Pipeline,” he said. “It will not take one electron from the grid. In fact, they believe that they’ll eventually have excess power that they’ll be able to put back into the grid.” 2) The Great Wyoming data center: Not to be outdone by its neighbor, Wyoming announced Project Jade, a 1.8-gigawatt data center last August but has since expanded it to 2.7 GW and the designer says in theory it could reach 10 GW. The entire state — one of the least populous in the US — uses less than 1 GW of power total. Matt Field, chief real estate officer for Crusoe Energy Systems, a co-builder of the center, said their goal is for the data center to bring all of its own power, so that it doesn’t affect local utility rates. “We’re colloquially viewing it as BYOP,” he told Cowboy State Daily. “Bring your own power. So, we’re bringing our own power. We’re not trying to get the physical infrastructure that’s here to bring us power, As for water, the data center will usea closed loop system to cool its equipment. Project plans show five buildings of up to 800,000 square feet but Field said the initial water fill will be equivalent to the consumption of 20 households After that, water use for one year on an ongoing annual basis will be equivalent to less than three households.

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Data Centers Face a New Constraint: Public Consent

What Has Changed About Data Center Opposition? There have always been local battles over data centers. Residents in Northern Virginia have fought over transmission corridors, noise, and land conversion for years. Communities in Arizona, Texas, and elsewhere have pushed back on water use and industrial encroachment. What feels different now is the combination of speed, scale, and political framing. First, AI has changed the physical profile of the sector. Development has moved far beyond the relatively low-profile enterprise and cloud facilities that local governments learned to accommodate in the 2010s. AI-era campuses carry larger electric loads, more aggressive cooling requirements, more visible infrastructure, and in some cases associated power generation or transmission upgrades. That shift changes perception. What was once positioned as a quiet tax-base enhancer now looks, to many communities, like a power-intensive industrial operation with uncertain local benefit. Second, the public argument has matured. Residents are no longer simply objecting to proximity. They are making detailed claims about water use, grid strain, ratepayer equity, environmental review, acoustic impact, tax subsidies, and long-term decommissioning risk. The debate has become specific. It is no longer generic NIMBY resistance. It is a structured critique of how AI infrastructure is being introduced into communities. Third, the issue now cuts across party lines and geographies. Maine, Texas, Michigan, Illinois, and North Carolina do not align to a single ideological pattern. This is not purely a climate-driven pushback or a local-control argument. It is both. Rural landowners, suburban residents, environmental groups, and local officials are arriving at resistance from different directions—but increasingly reaching the same conclusion: the old siting assumptions do not fit the AI-era buildout. From NIMBY to a Governance Gap Across markets, communities are discovering that the rules governing large-scale data center development are incomplete, outdated, or fragmented. Some localities are unsure

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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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