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Energy Secretary Wright Testifies Before House Appropriations Subcommittee on FY2026 Budget Request

WASHINGTON — U.S. Secretary of Energy Chris Wright testified today before the House Committee on Appropriations, Subcommittee on Energy and Water Development, outlining the Department of Energy’s Fiscal Year 2026 budget request. The FY2026 Budget reflects President Trump’s directive to unleash American energy, eliminate wasteful spending and refocus the Department on its core mission. It brings non-defense discretionary […]

WASHINGTON — U.S. Secretary of Energy Chris Wright testified today before the House Committee on Appropriations, Subcommittee on Energy and Water Development, outlining the Department of Energy’s Fiscal Year 2026 budget request.

The FY2026 Budget reflects President Trump’s directive to unleash American energy, eliminate wasteful spending and refocus the Department on its core mission. It brings non-defense discretionary spending to its leanest level since 2017 and eliminates over $15 billion in Green New Scam funding that supports more expensive, less reliable energy sources. For more details, view the budget toplines here.

Secretary Wright’s opening remarks:

Chairman Fleischmann, Ranking Member Kaptur, and Members of the Committee, it is an honor to appear before you and this Committee today to discuss the President’s Fiscal Year 2026 Budget request for the Department of Energy.

I’m especially honored to be at my first hearing before you as U.S. Secretary of Energy. I want to commend this Committee for its longstanding commitment to energy policy and to the mission of the Department of Energy.

Energy is the backbone of civilization. It is the essential catalyst of human progress— enabling everything that we do, from the lights in our home, the process heat in our factories and the innovation in our national laboratories. I’ve dedicated my life to increasing access to energy, and I’m thrilled to carry my work forward at the Department of Energy at this pivotal moment in our history.

My priorities for the Department are clear — to unleash a golden era of American energy dominance, strengthen our national security, and lead the world in innovation. A reliable and abundant energy supply is the foundation of a strong and prosperous nation– it drives our economy, safeguards our freedoms and fuels breakthroughs that improve our lives. When America leads in energy, we lead in prosperity, security and human flourishing.

Achieving this vision means fully leveraging the resources that have powered our country for generations. The United States is blessed with the abundance of coal, oil, and natural gas, and the Trump administration is committed to using them to provide affordable, reliable, and secure energy for the American people.

America has a historic opportunity to secure our energy systems, deliver leadership in scientific and technological innovation; maintain and strengthen our weapons stockpiles, and meet Cold War legacy waste commitments. The Department of Energy will advance these critical missions while cutting red tape, increasing efficiency, unleashing innovation and ensuring we are better stewards of taxpayer dollars.

The President’s FY2026 budget will ensure taxpayer resources are allocated appropriately and cost-effectively. This budget will return DOE to its core mission of advancing energy innovation and global competitiveness through research and development. We will invest DOE’s resources in sources and technologies that support affordable, reliable, and secure energy and provide a return on investment for the American taxpayers.

Just last week, the Trump administration celebrated its 100th day in office, and the Department of Energy has been hard at work to deliver on these goals of unleashing energy expansion while improving operational efficiency. I am proud to report that we have officially ended the previous administration’s reckless pause on LNG export permits and returned DOE to regular order for reviewing and approving new permits. Since January, the Department has approved applications for projects that will export more than 9.5 billion cubic feet per day of LNG, adding nearly as much incremental capacity as the world’s leading LNG exporting countries.

We are advancing President Trump’s pledge to lower the cost of living and expand consumer choice for all Americans by rightsizing DOE’s regulatory approach to home efficiency standards. This ensures that the American people can choose which appliances work best for their homes and budgets.

While we actively work to strengthen America’s role as the world’s leader in oil and natural gas production and lower costs for all Americans, we are also taking steps to accelerate innovation in the commercial nuclear development. America must lead the commercialization of affordable and abundant nuclear energy. DOE is working to advance the rapid deployment and export of next-generation nuclear technology, including small modular reactors. Small modular reactors will provide reliable power for our Nation’s growing energy demands, with the added benefits of flexible deployment due to their compact size and modular design.

The responsible stewardship and modernization of the nation’s nuclear weapons systems is paramount for the Department of Energy and this Administration. DOE is focused on addressing critical upgrades for the U.S. nuclear stockpile and maintaining our engine powerhouses for submarines and aircraft carriers. Both tasks will become even more crucial in the next few years.

We also need to unleash American energy innovation, and the National Labs are the engine that drives research and development to further this aim. When it comes to our National Labs, we are capable of doing more with less. We can both increase efficiency and drive innovation. We will prioritize research that supports true technological breakthroughs, such as nuclear fusion, high-performance computing, quantum computing, and AI, which will maintain America’s global competitiveness.

AI is the next Manhattan Project. AI technology will define the future of the world, and it is essential that the U.S. leads in the development of this technology. DOE has a significant role to play in driving AI innovation for scientific discovery, energy innovation, and national security. Our agency has the world-class high-performance computing capabilities that enable fast and efficient AI research and development, including four of the world’s top ten supercomputers. We need all energy sources to power the global AI race and meet growing energy demand while also ensuring the security of the grid.

America doesn’t back down from big challenges or big builds. If we want abundant, affordable, and secure energy, we must invest in the transmission, generation, and innovation that get us there. We are working to accelerate projects through permitting reform. We need to break ground faster with streamlined permitting, standardized designs, and public-private partnerships to build at the speed of national need.

DOE will also work to replenish the Strategic Petroleum Reserve (SPR). The SPR is a national asset that protects our security in times of crisis. The last administration’s politically motivated depletion of 180 million barrels has significantly degraded SPR infrastructure, brought storage levels to historic lows, and weakened America’s ability to respond to new geopolitical oil market shocks.

As Secretary of Energy, I am honored by the responsibility to help meet the American people’s growing energy needs and lead the world in energy development. Thank you for the opportunity to testify before this subcommittee.

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Shell Dutch Wind Farm Gets New Lease on Life with Google Deal

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Standard Chartered Says OPEC+ Policy ‘Explained by 2 Main Factors’

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Russia Budget Gap Widens as Oil Revenue Falls for Third Month

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Troubled firm Wood says new North Sea contracts will support 500 Aberdeen jobs

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CPH2 reaches ‘pivotal milestone’ on Northern Ireland green hydrogen project

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Liquid cooling technologies: reducing data center environmental impact

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Cisco unveils prototype quantum networking chip

Clock synchronization allows for coordinated time-dependent communications between end points that might be cloud databases or in large global databases that could be sitting across the country or across the world, he said. “We saw recently when we were visiting Lawrence Berkeley Labs where they have all of these data sources such as radio telescopes, optical telescopes, satellites, the James Webb platform. All of these end points are taking snapshots of a piece of space, and they need to synchronize those snapshots to the picosecond level, because you want to detect things like meteorites, something that is moving faster than the rotational speed of planet Earth. So the only way you can detect that quickly is if you synchronize these snapshots at the picosecond level,” Pandey said. For security use cases, the chip can ensure that if an eavesdropper tries to intercept the quantum signals carrying the key, they will likely disturb the state of the qubits, and this disturbance can be detected by the legitimate communicating parties and the link will be dropped, protecting the sender’s data. This feature is typically implemented in a Quantum Key Distribution system. Location information can serve as a critical credential for systems to authenticate control access, Pandey said. The prototype quantum entanglement chip is just part of the research Cisco is doing to accelerate practical quantum computing and the development of future quantum data centers.  The quantum data center that Cisco envisions would have the capability to execute numerous quantum circuits, feature dynamic network interconnection, and utilize various entanglement generation protocols. The idea is to build a network connecting a large number of smaller processors in a controlled environment, the data center warehouse, and provide them as a service to a larger user base, according to Cisco.  The challenges for quantum data center network fabric

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Zyxel launches 100GbE switch for enterprise networks

Port specifications include: 48 SFP28 ports supporting dual-rate 10GbE/25GbE connectivity 8 QSFP28 ports supporting 100GbE connections Console port for direct management access Layer 3 routing capabilities include static routing with support for access control lists (ACLs) and VLAN segmentation. The switch implements IEEE 802.1Q VLAN tagging, port isolation, and port mirroring for traffic analysis. For link aggregation, the switch supports IEEE 802.3ad for increased throughput and redundancy between switches or servers. Target applications and use cases The CX4800-56F targets multiple deployment scenarios where high-capacity backbone connectivity and flexible port configurations are required. “This will be for service providers initially or large deployments where they need a high capacity backbone to deliver a primarily 10G access layer to the end point,” explains Nguyen. “Now with Wi-Fi 7, more 10G/25G capable POE switches are being powered up and need interconnectivity without the bottleneck. We see this for data centers, campus, MDU (Multi-Dwelling Unit) buildings or community deployments.” Management is handled through Zyxel’s NebulaFlex Pro technology, which supports both standalone configuration and cloud management via the Nebula Control Center (NCC). The switch includes a one-year professional pack license providing IGMP technology and network analytics features. The SFP28 ports maintain backward compatibility between 10G and 25G standards, enabling phased migration paths for organizations transitioning between these speeds.

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Engineers rush to master new skills for AI-driven data centers

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ExtraHop looks to eliminate ‘extra hops’ in NDR stack

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AI’s energy appetite drives interest in nuclear power

In its new report, Deloitte said that its analysis of figures from the World Nuclear Association, the American Nuclear Society, the U.S. Department of Energy, and others showed that new nuclear power could potentially meet about 10% of the projected increase in data center demand over the next decade, assuming capacity is also significantly expanded by between 35GW and 62GW, and 30% of the expansion is earmarked for data centers. “Nuclear energy presents a potential solution for meeting some of the growing electricity demands of data centers, with its reliable and clean energy profile,” Deloitte’s report said, noting five key advantages of the technology: Reliable baseload power: Nuclear reactors operate 24/7, regardless of the weather, providing the reliable power so important to data centers. In addition, Deloitte said, “Their capacity factor, exceeding 92.5%, outperforms other sources like natural gas (56%) and renewables like wind (35%) and solar (25%).” High energy density: A small amount of fuel generates a lot of power, which minimizes the need for fuel storage and transportation. “This efficiency can translate to a smaller physical footprint and enhanced sustainability,” Deloitte said. Scalable power output: A full-sized reactor typically generates 800 megawatts (MW) or more of electricity, which accommodates the needs of large data centers. Low carbon emissions: Nuclear power plants produce virtually no greenhouse gas emissions during operation. Enhanced land use efficiency: Compared to other energy sources, nuclear power plants require relatively little land. Gartner’s Johnson echoed these advantages, and also predicted that nuclear energy, and small modular reactors (SMRs) in particular, will “provide a viable answer” to the question of what to do when electricity demand exceeds supply. They can, he said, “ensure independence from grid power fluctuations by providing dedicated on-site power for large data centers.” However, both Gartner and Deloitte also highlighted challenges in

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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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