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Energy Secretary Keeps Coal-Fired Generation Operational in the Midwest
WASHINGTON—U.S. Secretary of Energy Chris Wright issued an emergency order to address critical grid reliability issues in the Midwest. The emergency order directs the Midwest Independent System Operator (MISO), in coordination with Consumers Energy, to ensure that the 1,420-megawatt (MW) J.H. Campbell coal-fired power plant (Campbell Plant) in West Olive, Michigan is available to operate and to employ economic dispatch to minimize costs for American families and businesses. The Campbell Plant was originally scheduled to shut down on May 31, 2025, 15 years before the end of its scheduled design life. Since the U.S. Department of Energy’s (DOE) original order issued on May 23, 2205, the Campbell Plant has proven critical to MISO’s operations, operating regularly during periods of high energy demand and low levels of intermittent energy production. Subsequent orders were issued throughout 2025 and 2026. This order is in effect beginning on August 17, 2026, through November 14, 2026. “President Trump and the Energy Department remain committed to doing everything in our power to mitigate the possibility of power outages for American families and businesses,” Secretary Wright said. “Ensuring coal plants such as the Campbell Plant are available to operate during periods of high electricity demand saves lives. Americans deserve access to affordable, reliable, and secure electricity regardless of whether the wind is blowing or the sun is shining.” In January 2026, North American Electric Reliability Corporation (NERC) released its 2025 Long-Term Reliability Assessment. NERC assessed that the MISO region is at high risk of energy shortfalls over the next five years, stating that it faces significant reliability challenges as “projected resource additions do not keep pace with escalating demand forecasts and announced generator retirements.” NERC released its 2026 State of Reliability (SOR) on June 4, 2026. In its technical discussion of major system events, NERC states “shoulder reasons

Hydrocarbons and Geothermal Energy Office Announces Up to $10.75 Million to Support University Training and Research for Subsurface Energy Development
WASHINGTON—The U.S. Department of Energy’s (DOE) Hydrocarbons and Geothermal Energy Office (HGEO) today announced up to $10.75 million in federal funding to support novel, early-stage research and development (R&D) projects at eligible U.S. colleges and universities. The funding opportunity is offered through HGEO’s University Training and Research (UTR) Program, which aims to train the next generation of engineers and scientists for careers in energy-related research to help ensure affordable, reliable, and secure energy for all Americans. “Continuing to increase domestic energy production from our vast coal, oil, gas, and geothermal resources requires a workforce of trained, qualified professionals to advance innovative subsurface energy technologies,” said DOE Acting Assistant Secretary of the Hydrocarbons and Geothermal Energy Office Curt Coccodrilli. “By investing in skills-based training that emphasizes industry-driven strategies, we will help meet the needs of our evolving energy economy while strengthening America’s energy leadership and independence.” Funding awarded under this notice of funding opportunity (NOFO) is intended to increase R&D opportunities for students in science, technology, engineering and mathematics. Relevant academic disciplines include, but are not limited to engineering, chemistry, physics, mining, geosciences, computer science and education. Selected projects will support one topic area—Innovative Research and Training for Subsurface Energy Production. This topic area seeks university-led R&D proposals focused on accelerating innovative energy technologies toward commercial viability while simultaneously developing a skilled workforce for the evolving energy sector. The topic area is split into three subtopics focused on coal, oil and gas, and geothermal energy, respectively, ensuring that projects awarded through the UTR Program complement the R&D investments from HGEO’s Office of Subsurface Energy. Projects will address critical workforce skill gaps by integrating student participation directly into the R&D process and developing training modules that will have a lasting impact on student training beyond the awarded project. In addition, projects must include a non-academic partner to ensure research relevance

DCF Poll: What Will Constrain Data Center Growth Next?
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

Reports: Data Center Expansion Finds Its Contours
AI Density Is Arriving Unevenly Inside the data center, the AI transition remains equally uneven. Uptime’s 2026 survey found the average modal, or most common, rack density across respondents exceeding 11 kW for the first time, up from 9 kW in 2025. But that number requires context. A relatively small group of very high-density facilities pulls the average upward. Without those facilities, Uptime puts average modal rack density at 7.8 kW, only modestly higher than 7.5 kW in 2025. The industry therefore continues to operate two realities at once: a vast installed base running conventional rack densities and a rapidly emerging class of AI facilities pushing far beyond them. The latter is becoming more visible. Some 24% of Uptime respondents now report racks at 30 kW or higher, up from 19% last year. Much of the increase occurred above 50 kW, and some operators reported deployments exceeding 100 kW. Still, most surveyed facilities have no racks at 30 kW or above. AI inference is also moving up the density curve. For the first time in Uptime’s survey, generative AI inference matched AI training as a driver of respondents’ highest-density deployments, with 21% citing each workload. That matters because inference potentially pushes AI infrastructure requirements beyond a relatively concentrated population of model-training campuses and into a broader set of facilities and markets. Power Is Both Constraint and Risk No issue connects the three reports more consistently than power. It limits new site availability. It redirects development toward emerging markets. It shapes community debates. It affects density and cooling architecture. And once a facility is operating, it remains the largest source of outage risk. Uptime says 56% of operators who experienced an impactful outage identified power as the primary cause of their most recent incident. The institute cautions against treating the increase

The Next Data Center Constraint: Trust
When Facts Aren’t Enough Few places offer a more revealing test case than Loudoun County, Virginia. Data Center Alley has spent decades living with data center development at a scale most emerging markets will never approach. Rizer said Loudoun’s experience gives the county an unusually deep record with which to answer questions about environmental impacts, infrastructure and economic benefits. But those facts increasingly struggle to penetrate the broader public debate. Rizer said Loudoun today has more than 250 data centers, while the entire sector uses less than 10% of the county water system. He also pointed to improved air quality over the past decade and approximately $1.2 billion in tax revenue from the industry. Yet he acknowledged that simply producing another data point does little good when residents no longer trust the people presenting it. “I call it community concern whack-a-mole, because every time you address one thing, there are three others that pop up,” Rizer said. The problem, in his view, has become partly emotional rather than informational. “You can’t change how people think until you change how they feel,” he said. “And right now they feel angry, they feel confused, they are fearful, they are mistrustful, both of government and the big tech industry.” That distinction matters. The industry’s instinct has often been to counter criticism with facts: tax receipts, job numbers, water-use calculations, emissions data or explanations of how a particular cooling system works. Those facts remain important. But Rizer’s argument is that the industry must first rebuild enough credibility for communities to hear them. The Industry’s Unforced Errors Not all of the distrust has arrived from outside the industry. Rizer and Waitkunas were equally pointed about mistakes by developers and operators that have given opponents powerful examples to use against data center projects elsewhere. “The industry

NVIDIA Pushes the AI Factory From Rack to Asset Class
Making Compute Underwritable Huang expanded the argument a day later in an NVIDIA blog describing AI factory compute as an emerging investable asset class. NVIDIA’s case begins with a definition. The company does not describe its compute platform simply as a GPU. It includes accelerated computing, networking, systems software, AI frameworks and the CUDA software ecosystem surrounding the hardware. That wider platform matters to the financing thesis because NVIDIA argues it increases the number of potential users for an installed AI system. An NVIDIA DSX AI factory could support language models, vision, speech, biological computing, robotics, physical AI and other workloads. The same infrastructure could potentially move among customers, clouds or operators as demand changes. In financial terms, NVIDIA is arguing for fungibility. That could become particularly important to lenders and infrastructure investors trying to determine what happens if an original customer disappears, a contract expires or the economics of a particular workload change. A GPU cluster tied economically to one speculative tenant is one thing. Compute that can be redeployed across a large global market of clouds, enterprises, AI developers and model providers is a different risk proposition. NVIDIA contends that this breadth of potential offtakers helps protect residual value. Whether institutional markets ultimately price that risk the way NVIDIA hopes remains to be seen. But the company is now explicitly trying to establish a financial framework around that premise. Challenging the Traditional Depreciation Curve NVIDIA’s second argument is that software can extend the economic life of installed hardware. CUDA is central to that case. The company maintains that successive software improvements can increase the performance and efficiency of systems that have already been deployed, allowing the same hardware to produce more useful work at lower cost over time. That does not eliminate hardware obsolescence. New GPU generations continue

Energy Secretary Keeps Coal-Fired Generation Operational in the Midwest
WASHINGTON—U.S. Secretary of Energy Chris Wright issued an emergency order to address critical grid reliability issues in the Midwest. The emergency order directs the Midwest Independent System Operator (MISO), in coordination with Consumers Energy, to ensure that the 1,420-megawatt (MW) J.H. Campbell coal-fired power plant (Campbell Plant) in West Olive, Michigan is available to operate and to employ economic dispatch to minimize costs for American families and businesses. The Campbell Plant was originally scheduled to shut down on May 31, 2025, 15 years before the end of its scheduled design life. Since the U.S. Department of Energy’s (DOE) original order issued on May 23, 2205, the Campbell Plant has proven critical to MISO’s operations, operating regularly during periods of high energy demand and low levels of intermittent energy production. Subsequent orders were issued throughout 2025 and 2026. This order is in effect beginning on August 17, 2026, through November 14, 2026. “President Trump and the Energy Department remain committed to doing everything in our power to mitigate the possibility of power outages for American families and businesses,” Secretary Wright said. “Ensuring coal plants such as the Campbell Plant are available to operate during periods of high electricity demand saves lives. Americans deserve access to affordable, reliable, and secure electricity regardless of whether the wind is blowing or the sun is shining.” In January 2026, North American Electric Reliability Corporation (NERC) released its 2025 Long-Term Reliability Assessment. NERC assessed that the MISO region is at high risk of energy shortfalls over the next five years, stating that it faces significant reliability challenges as “projected resource additions do not keep pace with escalating demand forecasts and announced generator retirements.” NERC released its 2026 State of Reliability (SOR) on June 4, 2026. In its technical discussion of major system events, NERC states “shoulder reasons

Hydrocarbons and Geothermal Energy Office Announces Up to $10.75 Million to Support University Training and Research for Subsurface Energy Development
WASHINGTON—The U.S. Department of Energy’s (DOE) Hydrocarbons and Geothermal Energy Office (HGEO) today announced up to $10.75 million in federal funding to support novel, early-stage research and development (R&D) projects at eligible U.S. colleges and universities. The funding opportunity is offered through HGEO’s University Training and Research (UTR) Program, which aims to train the next generation of engineers and scientists for careers in energy-related research to help ensure affordable, reliable, and secure energy for all Americans. “Continuing to increase domestic energy production from our vast coal, oil, gas, and geothermal resources requires a workforce of trained, qualified professionals to advance innovative subsurface energy technologies,” said DOE Acting Assistant Secretary of the Hydrocarbons and Geothermal Energy Office Curt Coccodrilli. “By investing in skills-based training that emphasizes industry-driven strategies, we will help meet the needs of our evolving energy economy while strengthening America’s energy leadership and independence.” Funding awarded under this notice of funding opportunity (NOFO) is intended to increase R&D opportunities for students in science, technology, engineering and mathematics. Relevant academic disciplines include, but are not limited to engineering, chemistry, physics, mining, geosciences, computer science and education. Selected projects will support one topic area—Innovative Research and Training for Subsurface Energy Production. This topic area seeks university-led R&D proposals focused on accelerating innovative energy technologies toward commercial viability while simultaneously developing a skilled workforce for the evolving energy sector. The topic area is split into three subtopics focused on coal, oil and gas, and geothermal energy, respectively, ensuring that projects awarded through the UTR Program complement the R&D investments from HGEO’s Office of Subsurface Energy. Projects will address critical workforce skill gaps by integrating student participation directly into the R&D process and developing training modules that will have a lasting impact on student training beyond the awarded project. In addition, projects must include a non-academic partner to ensure research relevance

DCF Poll: What Will Constrain Data Center Growth Next?
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

Reports: Data Center Expansion Finds Its Contours
AI Density Is Arriving Unevenly Inside the data center, the AI transition remains equally uneven. Uptime’s 2026 survey found the average modal, or most common, rack density across respondents exceeding 11 kW for the first time, up from 9 kW in 2025. But that number requires context. A relatively small group of very high-density facilities pulls the average upward. Without those facilities, Uptime puts average modal rack density at 7.8 kW, only modestly higher than 7.5 kW in 2025. The industry therefore continues to operate two realities at once: a vast installed base running conventional rack densities and a rapidly emerging class of AI facilities pushing far beyond them. The latter is becoming more visible. Some 24% of Uptime respondents now report racks at 30 kW or higher, up from 19% last year. Much of the increase occurred above 50 kW, and some operators reported deployments exceeding 100 kW. Still, most surveyed facilities have no racks at 30 kW or above. AI inference is also moving up the density curve. For the first time in Uptime’s survey, generative AI inference matched AI training as a driver of respondents’ highest-density deployments, with 21% citing each workload. That matters because inference potentially pushes AI infrastructure requirements beyond a relatively concentrated population of model-training campuses and into a broader set of facilities and markets. Power Is Both Constraint and Risk No issue connects the three reports more consistently than power. It limits new site availability. It redirects development toward emerging markets. It shapes community debates. It affects density and cooling architecture. And once a facility is operating, it remains the largest source of outage risk. Uptime says 56% of operators who experienced an impactful outage identified power as the primary cause of their most recent incident. The institute cautions against treating the increase

The Next Data Center Constraint: Trust
When Facts Aren’t Enough Few places offer a more revealing test case than Loudoun County, Virginia. Data Center Alley has spent decades living with data center development at a scale most emerging markets will never approach. Rizer said Loudoun’s experience gives the county an unusually deep record with which to answer questions about environmental impacts, infrastructure and economic benefits. But those facts increasingly struggle to penetrate the broader public debate. Rizer said Loudoun today has more than 250 data centers, while the entire sector uses less than 10% of the county water system. He also pointed to improved air quality over the past decade and approximately $1.2 billion in tax revenue from the industry. Yet he acknowledged that simply producing another data point does little good when residents no longer trust the people presenting it. “I call it community concern whack-a-mole, because every time you address one thing, there are three others that pop up,” Rizer said. The problem, in his view, has become partly emotional rather than informational. “You can’t change how people think until you change how they feel,” he said. “And right now they feel angry, they feel confused, they are fearful, they are mistrustful, both of government and the big tech industry.” That distinction matters. The industry’s instinct has often been to counter criticism with facts: tax receipts, job numbers, water-use calculations, emissions data or explanations of how a particular cooling system works. Those facts remain important. But Rizer’s argument is that the industry must first rebuild enough credibility for communities to hear them. The Industry’s Unforced Errors Not all of the distrust has arrived from outside the industry. Rizer and Waitkunas were equally pointed about mistakes by developers and operators that have given opponents powerful examples to use against data center projects elsewhere. “The industry

NVIDIA Pushes the AI Factory From Rack to Asset Class
Making Compute Underwritable Huang expanded the argument a day later in an NVIDIA blog describing AI factory compute as an emerging investable asset class. NVIDIA’s case begins with a definition. The company does not describe its compute platform simply as a GPU. It includes accelerated computing, networking, systems software, AI frameworks and the CUDA software ecosystem surrounding the hardware. That wider platform matters to the financing thesis because NVIDIA argues it increases the number of potential users for an installed AI system. An NVIDIA DSX AI factory could support language models, vision, speech, biological computing, robotics, physical AI and other workloads. The same infrastructure could potentially move among customers, clouds or operators as demand changes. In financial terms, NVIDIA is arguing for fungibility. That could become particularly important to lenders and infrastructure investors trying to determine what happens if an original customer disappears, a contract expires or the economics of a particular workload change. A GPU cluster tied economically to one speculative tenant is one thing. Compute that can be redeployed across a large global market of clouds, enterprises, AI developers and model providers is a different risk proposition. NVIDIA contends that this breadth of potential offtakers helps protect residual value. Whether institutional markets ultimately price that risk the way NVIDIA hopes remains to be seen. But the company is now explicitly trying to establish a financial framework around that premise. Challenging the Traditional Depreciation Curve NVIDIA’s second argument is that software can extend the economic life of installed hardware. CUDA is central to that case. The company maintains that successive software improvements can increase the performance and efficiency of systems that have already been deployed, allowing the same hardware to produce more useful work at lower cost over time. That does not eliminate hardware obsolescence. New GPU generations continue

Energy Secretary Keeps Coal-Fired Generation Operational in the Midwest
WASHINGTON—U.S. Secretary of Energy Chris Wright issued an emergency order to address critical grid reliability issues in the Midwest. The emergency order directs the Midwest Independent System Operator (MISO), in coordination with Consumers Energy, to ensure that the 1,420-megawatt (MW) J.H. Campbell coal-fired power plant (Campbell Plant) in West Olive, Michigan is available to operate and to employ economic dispatch to minimize costs for American families and businesses. The Campbell Plant was originally scheduled to shut down on May 31, 2025, 15 years before the end of its scheduled design life. Since the U.S. Department of Energy’s (DOE) original order issued on May 23, 2205, the Campbell Plant has proven critical to MISO’s operations, operating regularly during periods of high energy demand and low levels of intermittent energy production. Subsequent orders were issued throughout 2025 and 2026. This order is in effect beginning on August 17, 2026, through November 14, 2026. “President Trump and the Energy Department remain committed to doing everything in our power to mitigate the possibility of power outages for American families and businesses,” Secretary Wright said. “Ensuring coal plants such as the Campbell Plant are available to operate during periods of high electricity demand saves lives. Americans deserve access to affordable, reliable, and secure electricity regardless of whether the wind is blowing or the sun is shining.” In January 2026, North American Electric Reliability Corporation (NERC) released its 2025 Long-Term Reliability Assessment. NERC assessed that the MISO region is at high risk of energy shortfalls over the next five years, stating that it faces significant reliability challenges as “projected resource additions do not keep pace with escalating demand forecasts and announced generator retirements.” NERC released its 2026 State of Reliability (SOR) on June 4, 2026. In its technical discussion of major system events, NERC states “shoulder reasons

Hydrocarbons and Geothermal Energy Office Announces Up to $10.75 Million to Support University Training and Research for Subsurface Energy Development
WASHINGTON—The U.S. Department of Energy’s (DOE) Hydrocarbons and Geothermal Energy Office (HGEO) today announced up to $10.75 million in federal funding to support novel, early-stage research and development (R&D) projects at eligible U.S. colleges and universities. The funding opportunity is offered through HGEO’s University Training and Research (UTR) Program, which aims to train the next generation of engineers and scientists for careers in energy-related research to help ensure affordable, reliable, and secure energy for all Americans. “Continuing to increase domestic energy production from our vast coal, oil, gas, and geothermal resources requires a workforce of trained, qualified professionals to advance innovative subsurface energy technologies,” said DOE Acting Assistant Secretary of the Hydrocarbons and Geothermal Energy Office Curt Coccodrilli. “By investing in skills-based training that emphasizes industry-driven strategies, we will help meet the needs of our evolving energy economy while strengthening America’s energy leadership and independence.” Funding awarded under this notice of funding opportunity (NOFO) is intended to increase R&D opportunities for students in science, technology, engineering and mathematics. Relevant academic disciplines include, but are not limited to engineering, chemistry, physics, mining, geosciences, computer science and education. Selected projects will support one topic area—Innovative Research and Training for Subsurface Energy Production. This topic area seeks university-led R&D proposals focused on accelerating innovative energy technologies toward commercial viability while simultaneously developing a skilled workforce for the evolving energy sector. The topic area is split into three subtopics focused on coal, oil and gas, and geothermal energy, respectively, ensuring that projects awarded through the UTR Program complement the R&D investments from HGEO’s Office of Subsurface Energy. Projects will address critical workforce skill gaps by integrating student participation directly into the R&D process and developing training modules that will have a lasting impact on student training beyond the awarded project. In addition, projects must include a non-academic partner to ensure research relevance

Energy Department Modernizes National Laboratory Operations to Strengthen America’s Scientific, Energy, and National Security Missions
WASHINGTON—The U.S. Department of Energy (DOE) today announced updated operating directives for its National Laboratories, plants, and sites as part of a broader effort to modernize operations across DOE’s laboratory complex. To advance President Trump’s commitment to Restoring Gold Standard Science, DOE is updating outdated and duplicative operating requirements to give its world-class scientific workforce more time to focus on critical science, energy, and national security missions. These reforms will improve efficiency, strengthen stewardship of taxpayer resources, and help DOE’s National Laboratories, plants, and sites operate with the speed, discipline, and agility their missions demand, while maintaining rigorous safety and security standards. “America’s National Laboratories are among our nation’s greatest scientific assets and have powered generations of American discovery and innovation,” said U.S. Secretary of Energy Chris Wright. “President Trump has called on DOE to build on that legacy by restoring Gold Standard Science and unleashing the full potential of American ingenuity. By removing unnecessary barriers, we are giving our scientists, engineers, and technicians, more freedom to focus on the critical missions that matter most.” Working with laboratory leaders and subject matter experts, DOE reviewed a targeted set of directives governing day-to-day field operations. Its reforms build on more than three decades of recommendations from Congress, the Government Accountability Office, the National Academies, and other independent reviews that have identified unnecessary complexity in DOE’s directives framework. DOE is acting on these longstanding recommendations while preserving strong oversight, accountability, and operational excellence—including strong protections for DOE workers, the public, the environment, and the Nation’s nuclear security enterprise. DOE’s National Laboratories, plants, and sites carry out some of the nation’s most consequential scientific, engineering, and national security missions. Today’s action better aligns their operations with the pace and complexity of today’s missions, giving its scientific workforce more time to develop technologies, strengthen American

Energy Secretary Announces Cancellation of Three Proposed National Interest Electric Transmission Corridors
WASHINGTON—U.S. Secretary of Energy Chris Wright today announced that the U.S. Department of Energy (DOE) will not move forward with designating the three proposed National Interest Electric Transmission Corridors (NIETCs) previously selected in December 2024 to advance in the review process. “Extensive review, including public feedback and stakeholder input, made clear that the current designation process for these three proposed transmission corridors should not continue,” said Secretary Wright. “Transmission policy must serve the American people—not special interests or a climate-alarmist agenda that drives up costs, worsens reliability, and disregards the concerns of local communities. The Trump Administration is committed to strengthening America’s electric grid with common-sense policies that prioritize delivering affordable, reliable, and secure electricity to American families and businesses.” The previous administration touted the Lake Erie–Canada Corridor, the Southwestern Grid Connector Corridor, and the Tribal Energy Access Corridor, as a means to advance their Green New Scam agenda and “accelerate decarbonization.” As the process unfolded, the current designation framework proved ineffective in strengthening grid reliability and reducing electricity costs. In some communities, it also contributed to confusion and concern about the scope and intent of NIETC authority. Thanks to President Trump and Secretary Wright, DOE has already taken numerous steps to build new transmission infrastructure and modernize existing infrastructure, including: In October 2025, DOE’s Office of Energy Dominance Financing (EDF) closed a $1.6 billion loan guarantee to AEP Transmission to reconductor and rebuild nearly 5,000 miles of transmission lines across five states. In February 2026, DOE’s Office of Energy Dominance Financing (EDF) closed $26.5 billion in loans to Southern Company subsidiaries Georgia power and Alabama Power to support generation and grid investments, including more than 1,300 miles of transmission and grid enhancement projects. In March 2026, DOE’s Office of Electricity (OE) announced the $1.9 billion SPARK funding opportunity to

Permian Resources lifts forecast on working interest gains, acquisitions
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Canada rig count down 3 units
The rig count in Canada fell by 3 units to 216 rigs working for the week ended Aug. 7, according to data from Baker Hughes. A 4-rig drop in oil-directed rigs in Canada was partially offset by a 2-unit gain in gas-directed rigs. There were 146 oil-directed rigs working in Canada this week, while those drilling for gas ended the week at 65 units working. The overall US drilling rig count was unchanged this week at 588 rigs working. That number is up 49 units from this time last year. In the US, 3 additional rigs were drilling for oil, bringing the total count to 454. That number is up 43 units from this time last year. The number of gas-directed rigs fell by 3 to 124 working for the week. This time last year, 123 rigs were drilling for gas in the US. There were 572 rigs drilling on US land this week, unchanged from last week and up 48 from the year-ago period. A 1-rig increase in offshore rigs offset a 1-unit decrease in rigs drilling in inland waters. There were 14 rigs drilling offshore and 2 in inland waters this week. Leading the major oil-and gas-producing states was Texas with a 2-unit gain to end the week with 275 rigs working. The count is up 32 units from this time in 2025. Pennsylvania and Wyoming each dropped a rig to bring the respective rig counts to 16 and 15 for the week.

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.

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

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

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

Three Aberdeen oil company headquarters sell for £45m
Three Aberdeen oil company headquarters have been sold in a deal worth £45 million. The CNOOC, Apache and Taqa buildings at the Prime Four business park in Kingswells have been acquired by EEH Ventures. The trio of buildings, totalling 275,000 sq ft, were previously owned by Canadian firm BMO. The financial services powerhouse first bought the buildings in 2014 but took the decision to sell the buildings as part of a “long-standing strategy to reduce their office exposure across the UK”. The deal was the largest to take place throughout Scotland during the last quarter of 2024. Trio of buildings snapped up London headquartered EEH Ventures was founded in 2013 and owns a number of residential, offices, shopping centres and hotels throughout the UK. All three Kingswells-based buildings were pre-let, designed and constructed by Aberdeen property developer Drum in 2012 on a 15-year lease. © Supplied by CBREThe Aberdeen headquarters of Taqa. Image: CBRE The North Sea headquarters of Middle-East oil firm Taqa has previously been described as “an amazing success story in the Granite City”. Taqa announced in 2023 that it intends to cease production from all of its UK North Sea platforms by the end of 2027. Meanwhile, Apache revealed at the end of last year it is planning to exit the North Sea by the end of 2029 blaming the windfall tax. The US firm first entered the North Sea in 2003 but will wrap up all of its UK operations by 2030. Aberdeen big deals The Prime Four acquisition wasn’t the biggest Granite City commercial property sale of 2024. American private equity firm Lone Star bought Union Square shopping centre from Hammerson for £111m. © ShutterstockAberdeen city centre. Hammerson, who also built the property, had originally been seeking £150m. BP’s North Sea headquarters in Stoneywood, Aberdeen, was also sold. Manchester-based

2025 ransomware predictions, trends, and how to prepare
Zscaler ThreatLabz research team has revealed critical insights and predictions on ransomware trends for 2025. The latest Ransomware Report uncovered a surge in sophisticated tactics and extortion attacks. As ransomware remains a key concern for CISOs and CIOs, the report sheds light on actionable strategies to mitigate risks. Top Ransomware Predictions for 2025: ● AI-Powered Social Engineering: In 2025, GenAI will fuel voice phishing (vishing) attacks. With the proliferation of GenAI-based tooling, initial access broker groups will increasingly leverage AI-generated voices; which sound more and more realistic by adopting local accents and dialects to enhance credibility and success rates. ● The Trifecta of Social Engineering Attacks: Vishing, Ransomware and Data Exfiltration. Additionally, sophisticated ransomware groups, like the Dark Angels, will continue the trend of low-volume, high-impact attacks; preferring to focus on an individual company, stealing vast amounts of data without encrypting files, and evading media and law enforcement scrutiny. ● Targeted Industries Under Siege: Manufacturing, healthcare, education, energy will remain primary targets, with no slowdown in attacks expected. ● New SEC Regulations Drive Increased Transparency: 2025 will see an uptick in reported ransomware attacks and payouts due to new, tighter SEC requirements mandating that public companies report material incidents within four business days. ● Ransomware Payouts Are on the Rise: In 2025 ransom demands will most likely increase due to an evolving ecosystem of cybercrime groups, specializing in designated attack tactics, and collaboration by these groups that have entered a sophisticated profit sharing model using Ransomware-as-a-Service. To combat damaging ransomware attacks, Zscaler ThreatLabz recommends the following strategies. ● Fighting AI with AI: As threat actors use AI to identify vulnerabilities, organizations must counter with AI-powered zero trust security systems that detect and mitigate new threats. ● Advantages of adopting a Zero Trust architecture: A Zero Trust cloud security platform stops

The Download: Flock’s new rules, cloning’s future, and children’s cells
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Flock is tightening its rules in response to a growing surveillance backlash The police-tech giant Flock is changing officers’ access to its nationwide network of license plate readers. The move comes amid a backlash over mass surveillance and reports of officers using the technology to stalk and harass current or former romantic partners. To combat that, the company will require them to enter a criminal case number before searching its database and expand automated auditing of suspicious searches. But because Flock won’t verify those case numbers, officers could still find ways around the safeguards. Here’s what Flock is changing—and where loopholes remain.
—James O’Donnell Cloning could be used to save species—or make human “organ sacks” —Jessica Hamzelou
This week I spoke to scientists who have found a way to turn male mouse embryos female. They’ve developed a CRISPR-based approach to essentially cut out the Y chromosome. It allowed them to create female clones of male mice. They hope their approach could be helpful in conservation efforts, especially in cases where we might have only a few individuals of a species left. But cloning has multiple uses, ranging from genetically modifying livestock to recreating beloved pets and potentially even creating “brainless” replicas of humans. Find out what cloning can do now, and where it could lead next. This story is from The Checkup, our weekly biotech newsletter. Sign up to receive it in your inbox every Thursday. This scientist is helping build a missing map of childhood In 2017, Deanne Taylor attended a presentation about the Human Cell Atlas, an ambitious attempt to map every cell in the human body. Taylor was floored, and then concerned. The project’s researchers had only made plans to study adults. “That’s when my little alarm went off,” she says. “Not again.” Children’s cells are different from grownups’ cells in the way they express genes, which can cause drastically different and even deadly responses to drugs that adults tolerate well. Taylor has since pushed the Human Cell Atlas to include children and is working on a major database of healthy pediatric tissue. The goal is to give researchers a baseline for how children develop—and potentially reveal how diseases that emerge in adulthood begin much earlier. Meet the scientist building a cellular map of childhood.
—Colleen de Bellefonds This story is from the next issue of our print magazine, which is all about kids. Subscribe now to read it when it lands. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Ukrainian drones defeated US forces in a military exerciseThey wiped out an American tank brigade in the war game. (WSJ $)+ The drill exposed US vulnerabilities to drone attacks. (Ars Technica)+ Trump just declared 100% tariffs on many drones. (Verge)+ Europe has a drone-filled vision for future wars. (MIT Technology Review) 2 OpenAI and Anthropic are cutting prices to compete with Chinese AIRising AI bills are pushing companies toward cheaper models. (FT $)+ China’s Z.ai aims to rival Anthropic and OpenAI in coding. (Bloomberg $)+ While DeepSeek is rapidly pushing up API prices. (Quartz) 3 Apple has trained its own AI model for China with support from AlibabaA China-tailored model of its own could give Apple greater control. (Reuters $)+ And make it the first foreign firm with a Beijing-approved AI model. (Verge)+ Chinese AI has divided the White House. (MIT Technology Review) 4 US efforts to build humanoid robots face a Chinese supply chainTo build an affordable device, you need Chinese parts. (NYT $)+ Chinese humanoids have business concerns of their own. (CNBC)+ Gig workers are training humanoids at home. (MIT Technology Review)
5 People are “marrying” chatbots. Lawmakers want to stop it.Their interventions are a response to the rise of AI companion apps. (Wired $)+ Chatbots are pushing us toward a post-human internet. (NYT $) 6 Researchers have cast doubts over Anthropic’s new AI watermarksThe marks can disappear when text is rewritten. (Nature)
7 AI is scrambling the political mapData centers and surveillance are creating unlikely political alliances. (Axios) 8 Oxygen has been found nearly two miles undergroundEarth’s deep biosphere could support more life than thought. (New Yorker $) 9 A new study challenges our understanding of how memories are storedMice retained memories after losing half of their synapses. (New Scientist $) 10 An Indian startup is testing cancer-sniffing dogs for early detectionAI interprets the dogs’ responses to patients’ breath samples. (Bloomberg $) Quote of the day “They were incredibly sloppy. If you’re serious about this, your AI shouldn’t be able to break out onto the internet and then do it again right afterward.” —A former OpenAI employee tells Wired that the company’s rogue agent hack was a watershed moment for AI safety and cybersecurity.
One More Thing AI materials discovery now needs to move into the real world Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply. But they’re still waiting for their ChatGPT moment. By far the most time-consuming and expensive step in materials discovery is not imagining new structures but making them in the real world. Before synthesizing a material, you don’t know if it can actually be made or whether it will have the properties you want. Now startups like Lila Sciences and Periodic Labs are building labs where AI agents can design experiments, control robots, and analyze results, potentially shortening the discovery process from decades to a few years or less.

This scientist is helping build a missing map of childhood
In 2017, Deanne Taylor attended a presentation at the University of Pennsylvania, just a short walk from her office. A researcher was there to unveil the Human Cell Atlas, an ambitious project that aimed to map every cell in the human body. Taylor was floored, and then concerned. As details emerged, she discovered that the project’s researchers had only made plans to study adults. “That’s when my little alarm went off,” she says. “Not again.” Since joining the Children’s Hospital of Philadelphia (CHOP) as the director of bioinformatics three years earlier, Taylor had been disappointed by the lack of investment in medical research focused on children. The dominant view, she says, was that children are exactly like small adults. They’re not. Children’s cells are different from grownups’ cells in the way they express genes—switching them on and off or turning them up or down. Those variations can cause drastically different and even deadly responses to drugs that adults tolerate well. The 2017 talk was the moment Taylor didn’t know she’d been waiting for. She quickly channeled her concern into a campaign, joining the Human Cell Atlas’s volunteer team and helping write a section on children for a white paper outlining the group’s goals and plans. She then rallied a cross-hospital coalition of pediatric researchers to contribute to the project and spearheaded a 2019 paper that outlined the case for studying children—a bid to attract more interest and funding to the field. “It put a flag in the ground,” she says. “Why don’t we have healthy models of children’s development?” So far, the push has paid off. In 2021 the NIH awarded a $38.5 million grant to the Developmental Genotype-Tissue Expression Project (dGTEx), a major initiative aimed at establishing the first comprehensive database of healthy pediatric tissue. The project banks samples collected from otherwise healthy children who have died and whose parents agreed to donate their bodies, and maps how genes across all the major organ systems are expressed. Taylor and her team curate and standardize the information associated with each tissue donation, including family history and details about the samples. A separate group does analysis on the samples themselves, and then all the information is combined to create a database—a baseline of what gene expression looks like in children. It’s the first step to enabling research that could advance our knowledge of normal development, disease, drug effectiveness, and other phenomena.
The dGTEx team will eventually feed its data into the Human Cell Atlas, which, thanks to Taylor and many of the coauthors of the 2019 paper, now includes a pediatric section. Taylor’s primary responsibility may be collecting and organizing data for dGTEx, but colleagues say she’s also the glue holding diverse research projects together. That’s especially important for the Human Cell Atlas, which depends on contributions from a loose coalition of researchers, all pursuing their own objectives. “Deanne took a big-picture view and said, We don’t just need to understand the pediatric kidney or the pediatric brain or the pediatric immune system. We need a holistic view of pediatric development,” says Sarah Teichmann, a cofounder of the Human Cell Atlas. “She embodies that interdisciplinary spirit.”
A healthy baseline Taylor describes her career as a “random walk,” driven by a singular intensity she now attributes to undiagnosed autism and ADHD. At five, she began reading her mom’s medical texts. By 12, she was checking out physics books from the library. Physics provided mysteries to solve, and she wanted to understand how things worked. Taylor got her PhD in biophysics, in 2001, but was inspired by the then-active Human Genome Project to change gears and take on a postdoc at Pfizer, writing code to handle complex data in rare-disease research. Then she moved to reproductive medicine, where she worked on some of the first computer programs to screen embryos for chromosomal abnormalities—many of which are still in use today. HANNAH YOON Despite this seemingly winding road, Taylor says her focus has always been on understanding why the same illness hits people differently. How can two people carry the same disease-associated gene variant, but only one get sick? The Human Cell Atlas—including all the data feeding into it from dGTEx and other projects—could at last help researchers find answers. The effort is a natural extension of the Human Genome Project. That initiative, which wrapped up in 2003, helped researchers link specific genes to specific diseases. But a map of the genome is a bit like a DIY kit with all the parts and no assembly manual. It doesn’t tell you where and how cells use each gene throughout the body. After all, “we’re just older kids,” Taylor says. “By ignoring the pediatric side of things, I think people are missing a window of intervention in human disease.” For that, you need to know how the genes are expressed. Gene expression generally involves making a protein that does a specific job in the body, like building tissue or sending signals. Unlike DNA, which largely remains the same throughout our lives, the way the genes in DNA are expressed changes as we develop. Differences in gene expression can determine whether a therapy will work—or could harm more than it helps. Because of the way cardiac genes are expressed in children, chemotherapy drugs can attack not only tumors but also children’s developing hearts, potentially causing lifelong damage. Other treatments can affect the entire body, sometimes triggering a reversible but potentially fatal immune-system reaction called cytokine release syndrome. The dGTEx database aims to create a baseline for gene expression in children—a molecular map of how the body’s roughly 20,000 genes do their work in healthy tissue cells. It is only one of the collaborations Taylor manages. She’s a principal investigator for the Kids First Data Resource Center, which sequences diseased tissues collected from children enrolled in other studies nationwide. And she has been collaborating with researchers on HubMAP, an effort that’s building a resource complementary to the Human Cell Atlas, to secure funding to create 3D maps of children’s cells like the ones it’s already made for adults. Extending such initiatives to children is important, Teichmann argues. Much of human development happens in childhood; key brain cells called astrocytes form in the first five years, for instance, and the immune system matures in puberty. “Those changes are really important to understand from a disease point of view,” she says. A granular view of how individual cells work “will change pediatric medicine, for sure.”
Herding cats Taylor helps the dGTEx machine run, coordinating researchers across multiple organizations that each contribute different pieces to the puzzle. These include a nonprofit group that secures tissue samples from deceased children soon after death and CHOP pathologists who assess each sample’s quality and type. Tissues are frozen and stored for future researchers to use with the group’s permission, while samples are sent to organizations including the nonprofit Broad Institute, which analyze gene expression. Data streams in at all these steps—information that the Human Cell Atlas effort can eventually draw on. This coordination is “like herding cats,” says Rebecca Linn, a pediatric pathologist at CHOP. “So many individuals with different goals.” Taylor says an important part of her role is mediating among participants. That means, for example, explaining to researchers who want to use dGTEx’s tissues that it’s impossible to divide a one-month-old’s tiny testes 20 ways. Colleagues describe Taylor as a well-connected collaborator who unites people across diverse specialties—essential qualities for a multidisciplinary, international effort like the Human Cell Atlas. It also helps that Taylor is full of surprises. She has tattoos of Schrödinger’s and Boltzmann’s equations and dabbles in painting and photography; a nondescript rock from Burning Man, where she volunteered in the kitchen, sits on her desk. “She can make friends and be memorable through her interests and knowledge and questions about all these different subjects. It really draws you in,” says Linn. Taylor, however, believes the life-changing potential of the work itself is enough to motivate colleagues. Comparing a sick person’s cells with the healthy, age-matched baseline the Human Cell Atlas provides could yield biomarkers of health and disease that could serve as drug targets or diagnostic markers. A pediatric chapter in that atlas could produce similar insights for children—and strengthen our understanding of how our genetics and environments affect health and disease at various stages of development. Extending the atlas to children may even help reveal how adult diseases trace back to distinct signals in childhood, raising the possibility that we could screen for and treat chronic conditions years or even decades before they surface. That could not only improve outcomes but help people prevent debilitating symptoms before they ever develop. After all, “we’re just older kids,” Taylor says. “By ignoring the pediatric side of things, I think people are missing a window of intervention in human disease.” Taylor hopes the project will shift how research views pediatrics. It’s a big goal, one that will require big data—and forces like her to help pull everything together. Colleen de Bellefonds is a science journalist based in Paris.

Job titles of the future: Space travel agent
Roman Chiporukha has long turned wild travel dreams into reality. Over two decades as co-owner of the luxury lifestyle firm Roman & Erica, he has orchestrated everything from the construction of a client’s superyacht to vacations in the Bahamas at a location so private that guests must sign an NDA. The experiences earned him “the ear,” he says, “of the ultra-high-net-worth audience.” It also led to a life-changing phone call: In 2018, Axiom Space wanted to find three citizen explorers willing to pay $50 million each to join the first fully private mission to the International Space Station (ISS), slated for April 2022. This showed Chiporukha that the sky was no longer the limit; it was the market. He successfully signed up the private astronauts and then launched SpaceVIP in 2021 to offer celestial experiences that mix culture, science, and purpose. Here’s what it takes to become the Expedia of the cosmos.
A willingness to do your homework Chiporukha isn’t an astronaut or aerospace engineer, so he had to fast-track his own education on the nuances of commercial spaceflight. To help private citizens skip the rocket-science headache, he has wrangled the highly fragmented space sector into a single, seamless digital portal, so adventurers can investigate suborbital flights and far-out itineraries as effortlessly as they would a weekend getaway. But he insists they still need an expert fixer who can secure “the perks, the custom requests, and the upgrades.” The power to align wants with reality SpaceVIP receives dozens of inquires a month, but Chiporukha helps just a small, exclusive roster design custom adventures based on their budgets and physical comfort zones. Acting as a bridge between starry-eyed dreamers and strict aerospace parameters, he works with operators like Axiom for multiday stays on the ISS, and with Blue Origin, SpaceX, and Virgin Galactic for other excursions. Spacefarers can choose, for example, a zero-gravity parabolic flight or a smooth six-hour voyage aboard a stratospheric balloon 15 miles above Earth—an option he says is “relatively affordable,” if you’re a person for whom a few hundred thousand dollars isn’t that much. Ability to inspire a new generation Making space travel widespread is an uphill climb in terms of cost and technology. But, Chiporukha adds, more people simply need to be interested. He cofounded the Space Prize Foundation, a nonprofit that runs science competitions for young women and groups underrepresented in STEM. Winners get zero-gravity flights and entry into immersive astronaut-training programs. “Making space more mainstream isn’t just about bringing down the cost of a ticket,” he says. “It’s about creating pathways into the industry and helping people understand that this future shouldn’t belong to a tiny group.” Linda Childers is a California-based freelance journalist who writes about science, education, and health.

Cloning could be used to save species—or make human “organ sacks”
EXECUTIVE SUMMARY This week I spoke to scientists who have found a way to turn male mouse embryos female. They’ve developed a CRISPR-based approach to essentially cut out the Y chromosome. It allowed them to create female clones of male mice. That’s right: female animals that are genetically identical to males, except for the missing Y chromosome. Takashi Ishiuchi, a reproductive biologist at the University of Yamanashi who co-led the work, told me it felt a bit like sci-fi. Ishiuchi and his colleague Shogo Matoba of the Riken BioResource Research Center hope their approach could be helpful in conservation efforts, especially in cases where we might have only a few individuals of a species left. But cloning has multiple uses, ranging from the cool to the outright creepy. We can’t talk about cloning without mentioning Dolly, the celebrity sheep born in 1996 and the first mammal successfully cloned from an adult cell. In that case, scientists took the DNA-containing nucleus of an adult mammary cell from one sheep and transferred it into an egg cell that had had its own nucleus removed. The resulting embryo was transferred to a surrogate sheep, which gave birth to Dolly—an animal genetically identical to the DNA donor.
The scientists behind that work were interested in genetically modifying livestock. Farmers have essentially been doing this for thousands of years through selective breeding, but cloning allows scientists to create genetic replicas of animals with desirable traits. Cloning is also being used to replicate deceased pets, including, famously, those of Barbra Streisand and Tom Brady, among others. For a price somewhere in the tens of thousands of dollars, a company can take cells from your pet and turn them into a living, breathing clone.
Considering that cloning also requires egg cells from another animal, and a surrogate animal to carry the pregnancy, not everyone is on board with this, especially since there is no medical or environmental need for the procedures. One bioethicist, Jessica Pierce, has described this aspect of dog cloning as “the exploitation of the canine underclass.” The case for cloning is stronger when it comes to conservation—where some argue there is environmental value. Scientists have been preserving animal tissues for years. Some of these tissues are cryopreserved at low temperatures in “frozen zoos.” The facility at the San Diego Zoo, for example, currently has cells from over 1,300 species. Some of these samples were taken decades ago. Preserved tissues like these have enabled scientists to create clones of animals considered close to extinction, including black-footed ferrets and Przewalski’s horse. But they might also help us bring back extinct animals. In 2009, researchers in Spain described how they’d cloned an extinct wild goat, the Pyrenean ibex, using skin cells that had been cryopreserved a decade earlier. In that research, the team used egg cells from domestic goats to create a total of 439 embryos. Ultimately, only one goat—a female—was born. She died minutes later because of a defect in her lungs. Poor Pyrenean ibex. It’s the only animal we know of that has gone extinct twice. The biotech company Colossal Biosciences is hoping to use old—and potentially ancient—genetic material to bring back long-extinct species like the thylacine and woolly mammoth. So far, the company’s efforts have largely involved modifying the genomes of modern-day animals. Technically, it’s also possible to clone humans. As far as we know, no one has done it. But some have played with the idea. One biotech startup founder has pitched an idea for “brainless clones”—human clones that lack a brain but contain all the organs people might need to replace their own in future. My colleague Antonio Regalado described that pitch in March. (I had to pause eating my lunch while rereading it.) Scientists have done a hell of a lot with cloning over the last few decades. I’m excited—but also slightly nervous—about what the coming decades will bring. This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.
Roundtables: Inside the “Censorship-Industrial Complex” Idea Shaping US Policy
Available only for MIT Alumni and subscribers.
Listen to the session or watch below The “censorship-industrial complex” is an idea that a network of government, tech, and research groups is collaborating to suppress conservative online speech. This was fodder for the right-wing information sphere for years—then it began making its way into US policy. Watch a conversation exploring how it started, where it’s going, and what it means for the future of democracy and the internet. Speakers: Amy Nordrum, Executive Editor, Operations, and Eileen Guo, Senior Reporter, Features & Investigations
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Recorded on August 13, 2026 Related Story:

Building a practical path to post-quantum cryptography
Provided byIntel Quantum computing has alternated between breakthrough darling and overhyped promise in technology circles. Its powerful new capabilities come with a threat to break current cryptography, but for business leaders navigating the noise, the signal should be clear: post-quantum cryptography (PQC) is a manageable evolution, not a crisis. The mathematics behind today’s encrypted digital transactions may yield to quantum computers one day, but the transition to quantum-resistant algorithms is neither sudden nor insurmountable. For executives concerned about disruption, cost, or complexity, a structured and phased approach exists with trusted technology partners like Intel that are already beginning to deliver the infrastructure to make it possible. A natural evolution, not a cliff edge The “quantum threat” narrative often swings between two extremes: imminent catastrophe or distant irrelevance. The reality occupies a more pragmatic middle ground. Quantum computers are highly specialized accelerators that exploit quantum physics to solve specific hard problems. They have the potential to crack modern encryption, but they will not replace classic servers overnight, nor will they instantly break every encryption protocol on the internet. What they will do is gradually shift the security landscape, much as previous cryptographic transitions have done over the past three decades. In late 2024, the Global Risk Institute, a Toronto-based financial services think tank, surveyed 32 quantum computing experts on when a quantum computer could break a 2048-bit RSA key within 24 hours. An average of optimistic and pessimistic estimates from the experts gave it an even 50-50 probability of reaching this code-breaking milestone by 2040. This timeline, uncertain but measurable, creates space for deliberate planning rather than emergency reaction. The near-term focus should be on “harvest now, decrypt later” scenarios, where adversaries collect encrypted data today and then hold it for future decryption later when that capability becomes possible. This is particularly applicable for information requiring confidentiality beyond 10 years.
For most enterprises, this can be a manageable risk when addressed through methodical modernization. Government signals as confidence builders The U.S. government has issued new directives for National Security Systems (NSS), which would likely be first on the list for potential quantum attack. Beginning in January 2027, new NSS acquisitions must be capable of supporting Commercial National Security Algorithm Suite 2.0 (CNSA 2.0) requirements for PQC algorithms standardized by the National Institute of Standards and Technology (NIST) and selected by the National Security Agency, the U.S. intelligence agency responsible for signals intelligence and information assurance. Implementation for new systems (with certain exceptions) is then required by 2031, with 100% adoption targeted by 2035.
For commercial enterprises, these timelines are not mandates, but could be signposts. They indicate where vendors, standards bodies, and auditors are headed, providing a reference architecture for responsible stewardship. Organizations can borrow this discipline without necessarily copying the exact timelines, using government guidance to calibrate their own risk tolerance and investment cadence. Intel’s role: Infrastructure ready for the transition Intel is at the heart of the AI revolution by delivering quantum-resistant capabilities across our product portfolio. This is not just aspirational roadmap language; it is starting to be shipping technology. For instance, the Intel Xeon 6 Processor already incorporates quantum-safe memory encryption (AES-256) and microcode signing to protect processor integrity. Upcoming platforms will extend post-quantum algorithms to more firmware and software signing, device interconnects, attestations, and secure boot functions, aligning with the most stringent government and industry directives. Post-quantum algorithms carry different key sizes and computational overhead than legacy methods. Intel addresses this through dedicated cryptographic accelerators, optimized libraries, and specialized CPU instructions that reduce latency and preserve service-level agreements. Technologies such as Intel QuickAssist Technology offload cryptographic workloads, enabling enterprises to adopt stronger algorithms without sacrificing performance. PQC is not a processor-alone problem. System builders and application owners must take a comprehensive view spanning solid-state drives, network interface cards, operating systems, hypervisors, applications, and connected services. Intel is delivering its pieces of the stack, while collaborating with ecosystem partners to ensure interoperability and smooth transition paths. A more in-depth discussion of post-quantum algorithms and attacks can be found in my recent blog posted on Intel’s Community forum: “Post-Quantum Crypto: Panic Like It’s 1999?” A practical roadmap for enterprises The path forward does not require upheaval, just discipline. Organizations can follow a phased approach that mirrors patterns emerging in government and critical infrastructure sectors: Approach PQC as modernization, not mitigation. Frame the transition as an opportunity to strengthen cryptographic foundations, reduce technical debt, and improve system maintainability. Leverage trusted partners. Technology suppliers like Intel are already shipping quantum-resistant capabilities with performance acceleration. Evaluate platform readiness and vendor roadmaps as part of procurement decisions. Start with visibility. Cryptography is embedded throughout modern technology stacks: not just in database encryption settings but in data at rest, data in transit, digital signatures, code signing, device identity, password hashing, and software update mechanisms. Start by mapping where cryptographic assets live, what algorithms protect them, and which data sets have the longest confidentiality requirements. Protect long-lived data first. Not all cryptographic uses age at the same rate. Encryption protecting long-lifespan intellectual property, personal data, or state secrets faces more immediate attention than short-lived session keys or rotating certificates. Focus initial investments on high-value, long-retention data stores and the trust anchors (root certificates, firmware signing keys) that underpin system integrity. Design for evolution and agility. Post-quantum algorithms are not simple drop-in replacements. They carry different key sizes, performance characteristics, and integration requirements that ripple through protocols, APIs, and hardware. Design systems that can transition algorithms without business disruption: testing compatibility, ensuring vendor roadmaps align, and engineering for rotation. The bottom line Quantum computing will reshape cryptography, but despite what occasional click-bait headlines say, it will not upend business overnight. The transition to post-quantum algorithms is a measured, multi-year journey, one that organizations can navigate with confidence by partnering with capable technology providers, prioritizing long-lived data, and designing for agility. Leaders who approach this as an engineering evolution rather than a threat response will not only be ready for whatever timeline quantum delivers; they will emerge with more robust, transparent, and maintainable cryptographic foundations across their platforms. This content was produced by Intel. It was not written by MIT Technology Review’s editorial staff.

Energy Secretary Keeps Coal-Fired Generation Operational in the Midwest
WASHINGTON—U.S. Secretary of Energy Chris Wright issued an emergency order to address critical grid reliability issues in the Midwest. The emergency order directs the Midwest Independent System Operator (MISO), in coordination with Consumers Energy, to ensure that the 1,420-megawatt (MW) J.H. Campbell coal-fired power plant (Campbell Plant) in West Olive, Michigan is available to operate and to employ economic dispatch to minimize costs for American families and businesses. The Campbell Plant was originally scheduled to shut down on May 31, 2025, 15 years before the end of its scheduled design life. Since the U.S. Department of Energy’s (DOE) original order issued on May 23, 2205, the Campbell Plant has proven critical to MISO’s operations, operating regularly during periods of high energy demand and low levels of intermittent energy production. Subsequent orders were issued throughout 2025 and 2026. This order is in effect beginning on August 17, 2026, through November 14, 2026. “President Trump and the Energy Department remain committed to doing everything in our power to mitigate the possibility of power outages for American families and businesses,” Secretary Wright said. “Ensuring coal plants such as the Campbell Plant are available to operate during periods of high electricity demand saves lives. Americans deserve access to affordable, reliable, and secure electricity regardless of whether the wind is blowing or the sun is shining.” In January 2026, North American Electric Reliability Corporation (NERC) released its 2025 Long-Term Reliability Assessment. NERC assessed that the MISO region is at high risk of energy shortfalls over the next five years, stating that it faces significant reliability challenges as “projected resource additions do not keep pace with escalating demand forecasts and announced generator retirements.” NERC released its 2026 State of Reliability (SOR) on June 4, 2026. In its technical discussion of major system events, NERC states “shoulder reasons

Hydrocarbons and Geothermal Energy Office Announces Up to $10.75 Million to Support University Training and Research for Subsurface Energy Development
WASHINGTON—The U.S. Department of Energy’s (DOE) Hydrocarbons and Geothermal Energy Office (HGEO) today announced up to $10.75 million in federal funding to support novel, early-stage research and development (R&D) projects at eligible U.S. colleges and universities. The funding opportunity is offered through HGEO’s University Training and Research (UTR) Program, which aims to train the next generation of engineers and scientists for careers in energy-related research to help ensure affordable, reliable, and secure energy for all Americans. “Continuing to increase domestic energy production from our vast coal, oil, gas, and geothermal resources requires a workforce of trained, qualified professionals to advance innovative subsurface energy technologies,” said DOE Acting Assistant Secretary of the Hydrocarbons and Geothermal Energy Office Curt Coccodrilli. “By investing in skills-based training that emphasizes industry-driven strategies, we will help meet the needs of our evolving energy economy while strengthening America’s energy leadership and independence.” Funding awarded under this notice of funding opportunity (NOFO) is intended to increase R&D opportunities for students in science, technology, engineering and mathematics. Relevant academic disciplines include, but are not limited to engineering, chemistry, physics, mining, geosciences, computer science and education. Selected projects will support one topic area—Innovative Research and Training for Subsurface Energy Production. This topic area seeks university-led R&D proposals focused on accelerating innovative energy technologies toward commercial viability while simultaneously developing a skilled workforce for the evolving energy sector. The topic area is split into three subtopics focused on coal, oil and gas, and geothermal energy, respectively, ensuring that projects awarded through the UTR Program complement the R&D investments from HGEO’s Office of Subsurface Energy. Projects will address critical workforce skill gaps by integrating student participation directly into the R&D process and developing training modules that will have a lasting impact on student training beyond the awarded project. In addition, projects must include a non-academic partner to ensure research relevance

DCF Poll: What Will Constrain Data Center Growth Next?
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

Reports: Data Center Expansion Finds Its Contours
AI Density Is Arriving Unevenly Inside the data center, the AI transition remains equally uneven. Uptime’s 2026 survey found the average modal, or most common, rack density across respondents exceeding 11 kW for the first time, up from 9 kW in 2025. But that number requires context. A relatively small group of very high-density facilities pulls the average upward. Without those facilities, Uptime puts average modal rack density at 7.8 kW, only modestly higher than 7.5 kW in 2025. The industry therefore continues to operate two realities at once: a vast installed base running conventional rack densities and a rapidly emerging class of AI facilities pushing far beyond them. The latter is becoming more visible. Some 24% of Uptime respondents now report racks at 30 kW or higher, up from 19% last year. Much of the increase occurred above 50 kW, and some operators reported deployments exceeding 100 kW. Still, most surveyed facilities have no racks at 30 kW or above. AI inference is also moving up the density curve. For the first time in Uptime’s survey, generative AI inference matched AI training as a driver of respondents’ highest-density deployments, with 21% citing each workload. That matters because inference potentially pushes AI infrastructure requirements beyond a relatively concentrated population of model-training campuses and into a broader set of facilities and markets. Power Is Both Constraint and Risk No issue connects the three reports more consistently than power. It limits new site availability. It redirects development toward emerging markets. It shapes community debates. It affects density and cooling architecture. And once a facility is operating, it remains the largest source of outage risk. Uptime says 56% of operators who experienced an impactful outage identified power as the primary cause of their most recent incident. The institute cautions against treating the increase

The Next Data Center Constraint: Trust
When Facts Aren’t Enough Few places offer a more revealing test case than Loudoun County, Virginia. Data Center Alley has spent decades living with data center development at a scale most emerging markets will never approach. Rizer said Loudoun’s experience gives the county an unusually deep record with which to answer questions about environmental impacts, infrastructure and economic benefits. But those facts increasingly struggle to penetrate the broader public debate. Rizer said Loudoun today has more than 250 data centers, while the entire sector uses less than 10% of the county water system. He also pointed to improved air quality over the past decade and approximately $1.2 billion in tax revenue from the industry. Yet he acknowledged that simply producing another data point does little good when residents no longer trust the people presenting it. “I call it community concern whack-a-mole, because every time you address one thing, there are three others that pop up,” Rizer said. The problem, in his view, has become partly emotional rather than informational. “You can’t change how people think until you change how they feel,” he said. “And right now they feel angry, they feel confused, they are fearful, they are mistrustful, both of government and the big tech industry.” That distinction matters. The industry’s instinct has often been to counter criticism with facts: tax receipts, job numbers, water-use calculations, emissions data or explanations of how a particular cooling system works. Those facts remain important. But Rizer’s argument is that the industry must first rebuild enough credibility for communities to hear them. The Industry’s Unforced Errors Not all of the distrust has arrived from outside the industry. Rizer and Waitkunas were equally pointed about mistakes by developers and operators that have given opponents powerful examples to use against data center projects elsewhere. “The industry

NVIDIA Pushes the AI Factory From Rack to Asset Class
Making Compute Underwritable Huang expanded the argument a day later in an NVIDIA blog describing AI factory compute as an emerging investable asset class. NVIDIA’s case begins with a definition. The company does not describe its compute platform simply as a GPU. It includes accelerated computing, networking, systems software, AI frameworks and the CUDA software ecosystem surrounding the hardware. That wider platform matters to the financing thesis because NVIDIA argues it increases the number of potential users for an installed AI system. An NVIDIA DSX AI factory could support language models, vision, speech, biological computing, robotics, physical AI and other workloads. The same infrastructure could potentially move among customers, clouds or operators as demand changes. In financial terms, NVIDIA is arguing for fungibility. That could become particularly important to lenders and infrastructure investors trying to determine what happens if an original customer disappears, a contract expires or the economics of a particular workload change. A GPU cluster tied economically to one speculative tenant is one thing. Compute that can be redeployed across a large global market of clouds, enterprises, AI developers and model providers is a different risk proposition. NVIDIA contends that this breadth of potential offtakers helps protect residual value. Whether institutional markets ultimately price that risk the way NVIDIA hopes remains to be seen. But the company is now explicitly trying to establish a financial framework around that premise. Challenging the Traditional Depreciation Curve NVIDIA’s second argument is that software can extend the economic life of installed hardware. CUDA is central to that case. The company maintains that successive software improvements can increase the performance and efficiency of systems that have already been deployed, allowing the same hardware to produce more useful work at lower cost over time. That does not eliminate hardware obsolescence. New GPU generations continue
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