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Renewable energy advocates see threats from Texas legislation

The Texas Legislature is considering bills that would increase requirements for renewable energy facility siting and generation reliability, raising concerns from the sector about how this legislation could reduce deployment during a time of increasing energy demand. “With energy demand rising fast, Texas needs every megawatt it can generate to keep the lights on and […]

The Texas Legislature is considering bills that would increase requirements for renewable energy facility siting and generation reliability, raising concerns from the sector about how this legislation could reduce deployment during a time of increasing energy demand.

“With energy demand rising fast, Texas needs every megawatt it can generate to keep the lights on and our economy strong,” said Daniel Giese, the Solar Energy Industries Association’s Texas director of state affairs, in an April 15 press release following the Texas Senate passing one such bill, SB 819.

SB 819 would “represent a significant change to renewables development,” even after the Senate “scaled back some of the more rigorous requirements,” law firm Vinson & Elkins said in an April 21 blog post

The bill would require “create a siting regime for most new or expanded solar and wind projects,” Vinson & Elkins said, requiring developers to “apply for and receive a permit before interconnection to the ERCOT transmission grid of a renewable generation facility with a capacity of 10 MW or greater,” the firm said.

SEIA said the bill “adds onerous requirements to new solar projects that would not apply to other energy sources except wind,” which would risk grid reliability, raise utility bills and infringe on property rights.

“Property rights are a core Texas value, but this bill would claw back landowners’ rights to make land use decisions that are best for themselves and their families,” SEIA said. “The state telling landowners that they can’t use their land in the way they see fit is antithetical to the Texas identity.”

Stewards of Texas, a policy group lobbying for the bill, argues the opposite. It says in a Jan. 17 release that the bill “will ensure responsible siting of wind and solar projects to minimize environmental damage while safeguarding landowner rights and natural resources.”

Sen. Lois Kolkhorst, the bill’s sponsor, said in the Stewards of Texas release that “this bipartisan legislation offers a common-sense approach to the encroachment of wind and solar facilities being scattered across our great state with no consideration or safeguards for landowners.”

Texas is one of the top solar energy-producing states in the U.S., ranking first in installed solar capacity in 2023 and first in total utility-scale solar and new solar added in 2024, according to SEIA. The state is also consistently the top wind energy producer in the U.S., producing 28% of all U.S. wind-sourced electricity in 2023, according to the Energy Information Administration.

After passing the Senate, SB 819 was referred to the House Committee on State Affairs on Tuesday.

Retroactive reliability standards

The legislature is also considering SB 715 and the identical House companion bill, HB 3356, which would alter existing legislation that sets reliability standards for generators coming into service on or after Jan. 1, 2028. SB 715 moves the deadline back a year, and stipulates that the requirement apply to all generators retroactively.

“This would be wildly expensive, creating thousands of mini-ERCOTs who each must procure their own reserves,” said Doug Lewin, founder of Stoic Energy Consulting, in an April 15 blog post. “This is almost certainly illegal as hundreds of billions of dollars were invested based on the rules that were in place at the time.”

The Texas Public Policy Foundation, a think tank which provided testimony in support of HB 3356, said in a release that “a uniform standard for all generators — not just new generators — is essential to ensure that new generators are not advantaged or disadvantaged relative to existing generators.”

Brent Bennett, policy director of TPPF’s Life:Powered project, testified to the House State Affairs Committee on April 14 that “wind and solar volatility imposes such a steep cost because it creates more uncertainty in how much dispatchable capacity is needed to keep the system running and when that capacity must be dispatched.”

Bennett said this volatility “will lead to spiraling costs as dispatchable power will need to be paid more and more to close a growing reliability deficit.”

Lewin noted in his blog post that the Public Utility Commission of Texas filed a report “on costs associated with dispatchable and nondispatchable generation facilities” in December that concluded that “while these analyses indicate that [ancillary service] costs have moderately increased over time, on average, they do not establish a clear link between AS costs and the amount of non-dispatchable capacity on the system.”

HB 3356 was heard by the House State Affairs Committee on Wednesday and reported favorably out of the committee. Its Senate companion, SB 715, was reportedly favorably out of committee the day before, and placed on the Senate’s intent calendar.

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TechnipFMC Logs Higher Q1 Revenue

TechnipFMC PLC has posted a revenue of $2.23 billion for the first quarter, up 9.4 percent year-on-year (YoY), while net income fell 9.6 percent YoY to $142 million. Included in total company results was a foreign exchange loss of $12.1 million, or $8.1 million after-tax, TechnipFMC said. Inbound orders during

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IBM aims for autonomous security operations

“IBM’s proactive threat hunting augments traditional security solutions to uncover anomalous activity and IBM’s proactive threat hunters work with organizations to help identify their crown jewel assets and critical concerns. This input enables the threat hunting team to create fully tailored threat hunt reports and customized detections,” IDC stated. “AI/ML

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Cisco automates AI-driven security across enterprise networks

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ISACA Barcelona president warns of quantum illiteracy

Gallego says the challenge is not theoretical but practical, adding, “We are already seeing clear warning signs.” He warns of “the so-called ‘harvest now, decrypt later’ attacks, which consist of intercepting encrypted data today to decrypt it in the future with quantum technology. This is not science fiction, but a

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Woodside Reaches $17.5-B Investment Decision on Louisiana LNG

Woodside Energy Group Ltd. said Tuesday it had made a positive final investment decision (FID) on the Louisiana LNG project. “The forecast total capital expenditure for the LNG project, pipeline and management reserve is US$17.5 billion (100 percent)”, the Australian oil and gas exploration and production company said in an online statement. As part of a deal announced earlier this month, New York City-based Stonepeak Partners LP will provide a staggered contribution of $5.7 billion in exchange for a 40 percent stake. Woodside later signed an agreement with Uniper SE to supply the German power and natural gas utility up to 1 MMtpa from Louisiana LNG for 13 years and up to 1 MMtpa from Woodside’s global portfolio from the start of Louisiana LNG’s operation through 2039. The Gulf Coast project has an Energy Department permit to export a cumulative 1.42 trillion cubic feet a year of natural gas equivalent, or 27.6 million metric tons per annum (MMtpa) of liquefied natural gas (LNG) according to Woodside, to both FTA and non-FTA countries. The FID announced Tuesday is for phase 1, which involves 3 liquefaction trains with a combined capacity of 16.5 MMtpa, “Development of Louisiana LNG will position Woodside as a global LNG powerhouse, enabling the company to deliver approximately 24 Mtpa [million metric tons per annum] from its global LNG portfolio in the 2030s, and operating over 5 percent of global LNG supply”, Woodside said. “The development has expansion capacity for two additional LNG trains and is fully permitted for a total capacity of 27.6 Mtpa. “Louisiana LNG represents a compelling investment that will deliver significant cash flow and create long-term value for Woodside shareholders. It exceeds Woodside’s capital allocation targets, delivering an internal rate of return above 13 percent and a payback period of seven years. “At full capacity,

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Crescent Closes Sale of Permian Basin Assets for $83MM

Crescent Energy Company said it has closed the sale of non-operated Permian Basin assets to an undisclosed private buyer for $83 million in cash, subject to customary post-closing purchase price adjustments. The assets are located in Reeves County, Texas and had projected full-year 2025 production of approximately 3,000 barrels of oil equivalent (boepd), consisting of around 35 percent oil, the company said in a news release. Proceeds from the sale will be used to reduce outstanding borrowings on the company’s revolving credit facility, Crescent said. The transaction has an effective date of December 31, 2024, and Crescent said it plans to update its 2025 outlook to reflect the divestiture alongside its first quarter 2025 financial and operating results. “We are pleased to announce the closing of this accretive asset sale, which is part of our $250 million pipeline of non-core asset divestitures announced during our year-end earnings,” Crescent CEO David Rockecharlie said. “As both investors and operators, we continually evaluate opportunities to enhance our portfolio, simplify our business and deliver value for investors”. Earlier in the month, Crescent said it simplified its corporate structure by eliminating the company’s umbrella partnership-C corporation (Up-C) structure through conversion of all remaining class B common stock into class A common stock, effective as of April 4. As a result of the corporate simplification, all of the company’s stockholders now hold class A common stock, with the same aligned economic and voting interests, the company said in a separate statement. The company said it expects that simplifying its organizational structure and capitalization table “will unlock shareholder value through reduced complexity, improving clarity of financial presentation, eliminating certain compliance and reporting costs, and enhancing accessibility for a broader pool of future investors”. KKR retains its existing 10 percent ownership, which is held by an indirect subsidiary

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EnQuest Wins Bidding for 2 PSCs in Indonesia

London-based EnQuest PLC said it has won the bidding for two production sharing contracts (PSCs) for the Gaea and Gaea II blocks in Papua Barat, Indonesia, along with its joint venture partners, as announced by the country’s Ministry of Energy and Minerals. The blocks present unrisked resource potential of multi-trillion standard cubic feet for EnQuest, the company said in a news release. EnQuest said the award marks its entry into Indonesia, “a country that offers a broad range of growth opportunities that span the full upstream lifecycle”. The move further expands EnQuest’s Southeast Asian footprint, adding to its growing momentum in the region, after securing an extension to its gas production in Malaysia and signing of an acquisition of Harbour Energy’s Vietnam business, the company said. Subject to the execution of the PSC, EnQuest will be designated as the PSC operator with a 40 percent working interest, working with its joint venture partners, the Tangguh Joint Venture composed of BP Exploration Indonesia Limited, MI Berau B.V., CNOOC Southeast Asia Limited, ENEOS Xplora Inc., Indonesia Natural Gas Resources Muturi, Inc., KG Wiriagar Petroleum Ltd and PT Agra Energi Indonesia. 2024 Production Report In its most recent earnings release, Enquest reported 2024 production of 40,736 barrels of oil equivalent per day (boepd), compared to 43,812 boepd in the prior year. EnQuest Chief Executive Amjad Bseisu said, “The Group delivered another outstanding year of operational performance in 2024, with production efficiency at 90 percent across the asset portfolio, representing a continuation of the excellence that defines our status as a top-quartile operator and expert in late-life asset management. After producing 40.7 Kboed in 2024, year-to-date production from our existing portfolio, as of the end of February 2025, was 43.0 Kboed [excluding Vietnam], tracking ahead of our guidance range of 40–45 Kboed, which includes

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Total USA Petroleum Products Demand Projected to Rise in 2025 and 2026

According to the U.S. Energy Information Administration’s (EIA) latest short term energy outlook (STEO), which was released on April 10, the EIA expects total U.S. petroleum products consumption to increase in 2025 and 2026. Total U.S. petroleum products demand is projected to come in at 20.38 million barrels per day this year and 20.49 million barrels per day next year, the STEO showed. In 2024, this figure averaged 20.31 million barrels per day, the STEO highlighted. Motor gasoline demand is forecast to contribute 8.90 million barrels per day to the overall 2025 figure, distillate fuel oil is expected to contribute 3.81 million barrels per day, hydrocarbon gas liquids are projected to contribute 3.71 million barrels per day, jet fuel is expected to contribute 1.72 million barrels per day, “other oils” are expected to contribute 1.68 million barrels per day, and residual fuel oil and other hydrocarbons and oxygenates are both expected to contribute 0.28 million barrels per day, the EIA’s April STEO outlined. Other oils include aviation gasoline blending components, finished aviation gasoline, kerosene, petrochemical feedstocks, special naphthas, lubricants, waxes, petroleum coke, asphalt and road oil, still gas, and miscellaneous products, the EIA noted in its STEO. Motor gasoline is projected to contribute 8.89 million barrels per day to the overall 2026 U.S. petroleum products demand figure, distillate fuel oil is expected to contribute 3.84 million barrels per day, hydrocarbon gas liquids are projected to contribute 3.78 million barrels per day, jet fuel is expected to contribute 1.73 million barrels per day, “other oils” are expected to contribute 1.65 million barrels per day, other hydrocarbons and oxygenates are expected to contribute 0.33 million barrels per day, and residual fuel oil is projected to contribute 0.28 million barrels per day, the STEO showed. Global Consumption World petroleum and other liquid fuels

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BP Plans $3-4B of Divestments This Year

BP PLC said Tuesday it expects to make $3-4 billion worth of asset sales in 2025, following a “reset” plan that involves scaling back renewables investment and cutting costs. “This underpins our confidence in meeting our net debt target of $14-18 billion by the end of 2027”, chief financial officer Kate Thomson said of the divestment plan. The British integrated energy company logged $328 million in divestment proceeds for the first quarter (Q1) of 2025, according to a statement of results it published online. BP is making “good progress on our divestment program, including the strategic review of Castrol, and the intentions to sell mobility & convenience businesses in Austria and the Netherlands and the Gelsenkirchen refinery”, it said. In February BP announced a marketing process for the potential sale of Ruhr Oel GmbH-BP Gelsenkirchen (ROG), which operates in Germany and the Netherlands. Sale completion is targeted 2025. ROG’s German operations include 2 plants in Horst and Scholven in Gelsenkirchen that form a refining and petrochemical site. The refinery can process up to about 12 million metric tons of petroleum a year. ROG also owns the Bottrop tank farm, DHC Solvent Chemie GmbH and Nord-West Oelleitung GmbH, which operates pipelines, crude tanks, tank farms and unloading points.  In the Netherlands ROG owns stakes in the Maatschap Europort Terminal and the NV Rotterdam-Rijn-Pijplining crude and refined products pipeline. In its Q4 2024 report BP also said it plans to sell its mobility and convenience business in the Netherlands. Also in February BP said it was considering “all options” for its global lubricants brand Castrol. In March BP said it was initiating a marketing process to divest its retail sites, associated fleet and electric vehicle charging infrastructure in Austria, as well as its stake in the Linz fuel terminal. BP aims to complete the

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Eni awards £440m contract for Liverpool Bay carbon capture project to Saipem

Italian oil and gas firm Eni has awarded a €520 million (£440m) contract to Saipem for the Liverpool Bay carbon capture and storage (CCS) project. Eni announced it will proceed with the Liverpool Bay project last week after reaching a financial deal with the UK government. Centred on the Point of Ayr gas terminal and the Douglas platform in the East Irish Sea, the CCS project forms part of the HyNet North West industrial cluster. Saipem will convert a traditional gas compression and treatment facility at the Point of Ayr in north Wales into a CO2 electrical compression station. This will allow for permanent CO2 storage in offshore depleted fields under the Liverpool Bay, Saipem said. The contract work scope includes engineering, procurement, construction and assistance to the commissioning of the new CO2 compression station. Saipem said the project will generate “positive employment impacts”, with over 1,000 local resources involved during the construction period. HyNet North West The deal between the UK government and Eni comes after the Labour administration pledged close to £22 billion towards the HyNet and East Coast Cluster CCS projects over 25 years. The HyNet plans involve capturing industrial emissions from regional emitters and transporting the CO2 for storage via Eni’s Douglas CCS platform in the Liverpool Bay. © Supplied by EniEni’s Douglas platform in the Liverpool Bay which is the focal point for the HyNet North West carbon capture and storage project. The project involves repurposing the existing offshore natural gas import pipeline from Point of Ayr gas into a 38-mile CO2 export pipeline. The plans also include blue hydrogen production, hydrogen storage and a hydrogen pipeline to decarbonise various industrial processes in the region. Alongside Eni, partners in the £2 billion HyNet project include EET Hydrogen, cement producer Heidelberg Materials and waste management firm Viridor. The former Conservative government selected HyNet

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Deep Data Center: Neoclouds as the ‘Picks and Shovels’ of the AI Gold Rush

In 1849, the discovery of gold in California ignited a frenzy, drawing prospectors from around the world in pursuit of quick fortune. While few struck it rich digging and sifting dirt, a different class of entrepreneurs quietly prospered: those who supplied the miners with the tools of the trade. From picks and shovels to tents and provisions, these providers became indispensable to the gold rush, profiting handsomely regardless of who found gold. Today, a new gold rush is underway, in pursuit of artificial intelligence. And just like the days of yore, the real fortunes may lie not in the gold itself, but in the infrastructure and equipment that enable its extraction. This is where neocloud players and chipmakers are positioned, representing themselves as the fundamental enablers of the AI revolution. Neoclouds: The Essential Tools and Implements of AI Innovation The AI boom has sparked a frenzy of innovation, investment, and competition. From generative AI applications like ChatGPT to autonomous systems and personalized recommendations, AI is rapidly transforming industries. Yet, behind every groundbreaking AI model lies an unsung hero: the infrastructure powering it. Enter neocloud providers—the specialized cloud platforms delivering the GPU horsepower that fuels AI’s meteoric rise. Let’s examine how neoclouds represent the “picks and shovels” of the AI gold rush, used for extracting the essential backbone of AI innovation. Neoclouds are emerging as indispensable players in the AI ecosystem, offering tailored solutions for compute-intensive workloads such as training large language models (LLMs) and performing high-speed inference. Unlike traditional hyperscalers (e.g., AWS, Azure, Google Cloud), which cater to a broad range of use cases, neoclouds focus exclusively on optimizing infrastructure for AI and machine learning applications. This specialization allows them to deliver superior performance at a lower cost, making them the go-to choice for startups, enterprises, and research institutions alike.

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Soluna Computing: Innovating Renewable Computing for Sustainable Data Centers

Dorothy 1A & 1B (Texas): These twin 25 MW facilities are powered by wind and serve Bitcoin hosting and mining workloads. Together, they consumed over 112,000 MWh of curtailed energy in 2024, demonstrating the impact of Soluna’s model. Dorothy 2 (Texas): Currently under construction and scheduled for energization in Q4 2025, this 48 MW site will increase Soluna’s hosting and mining capacity by 64%. Sophie (Kentucky): A 25 MW grid- and hydro-powered hosting center with a strong cost profile and consistent output. Project Grace (Texas): A 2 MW AI pilot project in development, part of Soluna’s transition into HPC and machine learning. Project Kati (Texas): With 166 MW split between Bitcoin and AI hosting, this project recently exited the Electric Reliability Council of Texas, Inc. planning phase and is expected to energize between 2025 and 2027. Project Rosa (Texas): A 187 MW flagship project co-located with wind assets, aimed at both Bitcoin and AI workloads. Land and power agreements were secured by the company in early 2025. These developments are part of the company’s broader effort to tackle both energy waste and infrastructure bottlenecks. Soluna’s behind-the-meter design enables flexibility to draw from the grid or directly from renewable sources, maximizing energy value while minimizing emissions. Competition is Fierce and a Narrower Focus Better Serves the Business In 2024, Soluna tested the waters of providing AI services via a  GPU-as-a-Service through a partnership with HPE, branded as Project Ada. The pilot aimed to rent out cloud GPUs for AI developers and LLM training. However, due to oversupply in the GPU market, delayed product rollouts (like NVIDIA’s H200), and poor demand economics, Soluna terminated the contract in March 2025. The cancellation of the contract with HPE frees up resources for Soluna to focus on what it believes the company does best: designing

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Quiet Genius at the Neutral Line: How Onics Filters Are Reshaping the Future of Data Center Power Efficiency

Why Harmonics Matter In a typical data center, nonlinear loads—like servers, UPS systems, and switch-mode power supplies—introduce harmonic distortion into the electrical system. These harmonics travel along the neutral and ground conductors, where they can increase current flow, cause overheating in transformers, and shorten the lifespan of critical power infrastructure. More subtly, they waste power through reactive losses that don’t show up on a basic utility bill, but do show up in heat, inefficiency, and increased infrastructure stress. Traditional mitigation approaches—like active harmonic filters or isolation transformers—are complex, expensive, and often require custom integration and ongoing maintenance. That’s where Onics’ solution stands out. It’s engineered as a shunt-style, low-pass filter: a passive device that sits in parallel with the circuit, quietly siphoning off problematic harmonics without interrupting operations.  The result? Lower apparent power demand, reduced electrical losses, and a quieter, more stable current environment—especially on the neutral line, where cumulative harmonic effects often peak. Behind the Numbers: Real-World Impact While the Onics filters offer a passive complement to traditional mitigation strategies, they aren’t intended to replace active harmonic filters or isolation transformers in systems that require them—they work best as a low-complexity enhancement to existing power quality designs. LoPilato says Onics has deployed its filters in mission-critical environments ranging from enterprise edge to large colos, and the data is consistent. In one example, a 6 MW data center saw a verified 9.2% reduction in energy consumption after deploying Onics filters at key electrical junctures. Another facility clocked in at 17.8% savings across its lighting and support loads, thanks in part to improved power factor and reduced transformer strain. The filters work by targeting high-frequency distortion—typically above the 3rd harmonic and up through the 35th. By passively attenuating this range, the system reduces reactive current on the neutral and helps stabilize

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New IEA Report Contrasts Energy Bottlenecks with Opportunities for AI and Data Center Growth

Artificial intelligence has, without question, crossed the threshold—from a speculative academic pursuit into the defining infrastructure of 21st-century commerce, governance, and innovation. What began in the realm of research labs and open-source models is now embedded in the capital stack of every major hyperscaler, semiconductor roadmap, and national industrial strategy. But as AI scales, so does its energy footprint. From Nvidia-powered GPU clusters to exascale training farms, the conversation across boardrooms and site selection teams has fundamentally shifted. It’s no longer just about compute density, thermal loads, or software frameworks. It’s about power—how to find it, finance it, future-proof it, and increasingly, how to generate it onsite. That refrain—“It’s all about power now”—has moved from a whisper to a full-throated consensus across the data center industry. The latest report from the International Energy Agency (IEA) gives this refrain global context and hard numbers, affirming what developers, utilities, and infrastructure operators have already sensed on the ground: the AI revolution will be throttled or propelled by the availability of scalable, sustainable, and dispatchable electricity. Why Energy Is the Real Bottleneck to Intelligence at Scale The major new IEA report puts it plainly: The transformative promise of AI will be throttled—or unleashed—by the world’s ability to deliver scalable, reliable, and sustainable electricity. The stakes are enormous. Countries that can supply the power AI craves will shape the future. Those that can’t may find themselves sidelined. Importantly, while AI poses clear challenges, the report emphasizes how it also offers solutions: from optimizing energy grids and reducing emissions in industrial sectors to enhancing energy security by supporting infrastructure defenses against cyberattacks. The report calls for immediate investments in both energy generation and grid capabilities, as well as stronger collaboration between the tech and energy sectors to avoid critical bottlenecks. The IEA advises that, for countries

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Colorado Eyes the AI Data Center Boom with Bold Incentive Push

Even as states work on legislation to limit data center development, it is clear that some locations are looking to get a bigger piece of the huge data center spending that the AI wave has created. It appears that politicians in Colorado took a look around and thought to themselves “Why is all that data center building going to Texas and Arizona? What’s wrong with the Rocky Mountain State?” Taking a page from the proven playbook that has gotten data centers built all over the country, Colorado is trying to jump on the financial incentives for data center development bandwagon. SB 24-085: A Statewide Strategy to Attract Data Center Investment Looking to significantly boost its appeal as a data center hub, Colorado is now considering Senate Bill 24-085, currently making its way through the state legislature. Sponsored by Senators Priola and Buckner and Representatives Parenti and Weinberg, this legislation promises substantial economic incentives in the form of state sales and use tax rebates for new data centers established within the state from fiscal year 2026 through 2033. Colorado hopes to position itself strategically to compete with neighboring states in attracting lucrative tech investments and high-skilled jobs. According to DataCenterMap.com, there are currently 53 data centers in the state, almost all located in the Denver area, but they are predominantly smaller facilities. In today’s era of massive AI-driven hyperscale expansion, Colorado is rarely mentioned in the same breath as major AI data center markets.  Some local communities have passed their own incentive packages, but SB 24-085 aims to offer a unified, statewide framework that can also help mitigate growing NIMBY (Not In My Backyard) sentiment around new developments. The Details: How SB 24-085 Works The bill, titled “Concerning a rebate of the state sales and use tax paid on new digital infrastructure

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Wonder Valley and the Great AI Pivot: Kevin O’Leary’s Bold Data Center Play

Data Center World 2025 drew record-breaking attendance, underscoring the AI-fueled urgency transforming infrastructure investment. But no session captivated the crowd quite like Kevin O’Leary’s electrifying keynote on Wonder Valley—his audacious plan to build the world’s largest AI compute data center campus. In a sweeping narrative that ranged from pandemic pivots to stranded gas and Branson-brand inspiration, O’Leary laid out a real estate and infrastructure strategy built for the AI era. A Pandemic-Era Pivot Becomes a Case Study in Digital Resilience O’Leary opened with a Shark Tank success story that doubled as a business parable. In 2019, a woman-led startup called Blueland raised $50 million to eliminate plastic cleaning bottles by shipping concentrated cleaning tablets in reusable kits. When COVID-19 shut down retail in 2020, her inventory was stuck in limbo—until she made an urgent call to O’Leary. What followed was a high-stakes, last-minute pivot: a union-approved commercial shoot in Brooklyn the night SAG-AFTRA shut down television production. The direct response ad campaign that resulted would not only liquidate the stranded inventory at full margin, but deliver something more valuable—data. By targeting locked-down consumers through local remnant TV ad slots and optimizing by conversion, Blueland saw unheard-of response rates as high as 17%. The campaign turned into a data goldmine: buyer locations, tablet usage patterns, household sizes, and contact details. Follow-up SMS campaigns would drive 30% reorders. “It built such a franchise in those 36 months,” O’Leary said, “with no retail. Now every retailer wants in.” The lesson? Build your infrastructure to control your data, and you build a business that scales even in chaos. This anecdote set the tone for the keynote: in a volatile world, infrastructure resilience and data control are the new core competencies. The Data Center Power Crisis: “There Is Not a Gig on the Grid” O’Leary

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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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