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How Communities Can Plan for AI Data Centers Before the Projects Arrive

The collision between AI infrastructure development and community opposition has become one of the defining data center stories of 2026. Developers are pursuing larger campuses, more power and compressed delivery schedules as AI accelerates demand for computing capacity. Meanwhile, local planning boards, elected officials and residents are increasingly being asked to make decisions about facilities whose scale, energy requirements and technological purpose may be unlike anything previously contemplated in their comprehensive plans. That gap is where Ilissa Miller believes much of the conflict begins. Miller, founder and CEO of iMiller Public Relations and a board member of the Open Infrastructure Exchange (OIX), joined the Data Center Frontier Show to discuss the OIX Digital Infrastructure Framework, an effort designed to give municipalities a more systematic way to think about data centers and other digital infrastructure before an individual development application lands in front of them. The idea is straightforward: communities routinely create long-range plans defining where homes, commercial development, industry and other land uses should go. Digital infrastructure should be part of that process as well. “Our vision for the framework was to help solve the problem by empowering communities to think about digital infrastructure,” Miller said, so municipalities can incorporate it into their comprehensive master plans and maintain control over how land is ultimately used. That distinction is key. The framework is not intended to convince communities to approve data centers. Nor does it prescribe what a town or county should decide. Instead, Miller said, it is meant to help public officials ask the right questions early enough to make those decisions deliberately. The Data Center May Not Be in the Plan One of the industry’s recurring problems is deceptively basic: many municipalities never anticipated data centers when writing their zoning codes and comprehensive plans. A parcel might already be

Read More »

QatarEnergy NFE LNG Train 1 to start 1H 2027; Ras Laffan repairs to take 3 years

QatarEnergy expects the 8-million tonne/year (tpy) first train of its 32-million tpy North Field East (NFE) LNG expansion project to begin operations in first-half 2027, Reuters reported, noting that the timing of additional trains would depend on ​the Strait of Hormuz crisis. Speaking at the Qatar Economic Forum Special Edition in New York, QatarEnergy chief executive officer (CEO) and Qatari minister of energy affairs, Saad al-Kaabi, attributed the uncertainty to delays in delivering equipment needed for the expansion caused by the Strait of Hormuz disruption. Regarding damage to Qatar’s natural gas infrastructure sustained during the Iran war and its possible return, al-Kaabi said that repairs to the two LNG trains damaged at Ras Laffan (17% of its production capacity) would take 3 years. A damaged gas-to-liquids (GTL) train is expected to return to service first-quarter 2027. Al-Kaabi expects “a few” NFE trains to start production as 2027 progresses, and output from the 16-million tpy North Field South (NFS) expansion to begin in 2028, according to Reuters. The NFE and NFS projects are part of the overall North Field expansion program that also includes the North Field West project, which together will raise Qatar’s LNG production capacity to 142 million tpy from the current 77 million tpy. Al-Kaabi also thanked Qatar’s neighbors for being willing to allow construction of a gas pipeline across their territories to bypass Hormuz, while noting that doing so would be “redundant” and made “no economic sense” in light of the already underway North Field expansion project. “As for resuming operations,” he added, “Qatar is ready to resume normal operations within a few weeks of the reopening of the Strait of Hormuz.” More generally, al-Kaabi rejected the notion that the Strait of Hormuz was obsolete, saying that it “carries trade in all products, not only oil and

Read More »

Executive Roundtable: AI Infrastructure Under Pressure

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

Read More »

ESENTIA to acquire Guadalajara-Manzanillo natural gas pipeline system

ESENTIA Energy Development SAB de CV, Mexico City, has agreed to acquire 100% of the equity interests of Energía Occidente de México S de RL de CV (EOM) from TC Energy Corp., Calgary, for a gross purchase price of $400 million. EOM owns and operates the 313-km Guadalajara-Manzanillo natural gas pipeline system, which runs from the Guadalajara area in Jalisco to Manzanillo, Colima, and is directly interconnected with ESENTIA’s Villa de Reyes-Aguascalientes-Guadalajara (VAG) pipeline system operated by Esentia Pipeline de Occidente S de RL de CV, an indirect subsidiary of ESENTIA. The pipeline transports up to 500 MMcfd of natural gas, connecting imported LNG supply near Manzanillo and continental gas supply near Guadalajara to power plants and industrial customers in Colima and Jalisco. Upon closing, the acquisition will extend ESENTIA’s pipeline network to the Port of Manzanillo on Mexico’s Pacific coast, making the company the only private operator with an integrated natural gas pipeline system connecting the Permian basin in Texas to Mexico’s Pacific coast, the company said in a release Sept. 21. The deal is part of ESENTIA’s strategy to build a cross-border transportation system and would “expand ESENTIA’s ability to serve existing and prospective customers within the combined system’s area of influence, including demand from power generation, industrial customers and potential LNG-related projects,” said Daniel Bustos, chief executive officer. ESENTIA also highlighted construction of its Aguascalientes Compression Station, which is expected to increase capacity on the VAG pipeline system beginning in early 2027. The project is part of the company’s three-phase expansion plan, which includes a total estimated investment of $680 million and an increase of 660 MMcfd in natural gas transportation capacity. For TC Energy, the transaction creates “optionality to redeploy proceeds from a mature asset towards high-value growth opportunities across our North American footprint,” said François

Read More »

Lenovo expands virtualization portfolio for AI

On the services front, Lenovo is restructuring its infrastructure deployment offerings around three defined service levels: Standard Deploy, Premier Deploy, and Premier Deploy Plus. The options are designed to allow customers to select a deployment model based on multiple factors, including project complexity, business criticality, internal IT capabilities and the amount of assistance required after deployment. All three services provide a structured readiness foundation and expert hardware installation. Premier Deploy and Premier Deploy Plus add implementation and operational handoff support, helping customers move from infrastructure delivery toward production-ready operations. Premier Deploy Plus also provides extended post-deployment assistance and a one-year infrastructure health assessment intended to help customers identify potential problems early. The health assessment excludes DE Storage Array.

Read More »

Roundtables: The Deadly Failures of The Virtual Border Wall

Available only for MIT Technology Review subscribers.
The US has spent billions building a “virtual wall” of surveillance towers along its southern border over the past 25 years, promising they will help detect and apprehend border crossers and save lives. But a groundbreaking investigation by MIT Technology Review has documented over a thousand people who moved through areas watched by these towers without being reached or apprehended, and who ultimately died there. Some were even under the watch of newly installed AI-powered towers designed to spot people automatically. Our findings reveal a humanitarian crisis more visible than previously known, and repeated failures of the virtual wall’s basic security promise. Join MIT Technology Review editors and reporters for a conversation examining the failures of border surveillance technology and uncovering the stories of the people who die in the borderlands. Speakers: Mat Honan, editor in chief, James O’Donnell, senior AI reporter, and Eileen Guo, features and investigations reporter Related Stories

Read More »

How Communities Can Plan for AI Data Centers Before the Projects Arrive

The collision between AI infrastructure development and community opposition has become one of the defining data center stories of 2026. Developers are pursuing larger campuses, more power and compressed delivery schedules as AI accelerates demand for computing capacity. Meanwhile, local planning boards, elected officials and residents are increasingly being asked to make decisions about facilities whose scale, energy requirements and technological purpose may be unlike anything previously contemplated in their comprehensive plans. That gap is where Ilissa Miller believes much of the conflict begins. Miller, founder and CEO of iMiller Public Relations and a board member of the Open Infrastructure Exchange (OIX), joined the Data Center Frontier Show to discuss the OIX Digital Infrastructure Framework, an effort designed to give municipalities a more systematic way to think about data centers and other digital infrastructure before an individual development application lands in front of them. The idea is straightforward: communities routinely create long-range plans defining where homes, commercial development, industry and other land uses should go. Digital infrastructure should be part of that process as well. “Our vision for the framework was to help solve the problem by empowering communities to think about digital infrastructure,” Miller said, so municipalities can incorporate it into their comprehensive master plans and maintain control over how land is ultimately used. That distinction is key. The framework is not intended to convince communities to approve data centers. Nor does it prescribe what a town or county should decide. Instead, Miller said, it is meant to help public officials ask the right questions early enough to make those decisions deliberately. The Data Center May Not Be in the Plan One of the industry’s recurring problems is deceptively basic: many municipalities never anticipated data centers when writing their zoning codes and comprehensive plans. A parcel might already be

Read More »

QatarEnergy NFE LNG Train 1 to start 1H 2027; Ras Laffan repairs to take 3 years

QatarEnergy expects the 8-million tonne/year (tpy) first train of its 32-million tpy North Field East (NFE) LNG expansion project to begin operations in first-half 2027, Reuters reported, noting that the timing of additional trains would depend on ​the Strait of Hormuz crisis. Speaking at the Qatar Economic Forum Special Edition in New York, QatarEnergy chief executive officer (CEO) and Qatari minister of energy affairs, Saad al-Kaabi, attributed the uncertainty to delays in delivering equipment needed for the expansion caused by the Strait of Hormuz disruption. Regarding damage to Qatar’s natural gas infrastructure sustained during the Iran war and its possible return, al-Kaabi said that repairs to the two LNG trains damaged at Ras Laffan (17% of its production capacity) would take 3 years. A damaged gas-to-liquids (GTL) train is expected to return to service first-quarter 2027. Al-Kaabi expects “a few” NFE trains to start production as 2027 progresses, and output from the 16-million tpy North Field South (NFS) expansion to begin in 2028, according to Reuters. The NFE and NFS projects are part of the overall North Field expansion program that also includes the North Field West project, which together will raise Qatar’s LNG production capacity to 142 million tpy from the current 77 million tpy. Al-Kaabi also thanked Qatar’s neighbors for being willing to allow construction of a gas pipeline across their territories to bypass Hormuz, while noting that doing so would be “redundant” and made “no economic sense” in light of the already underway North Field expansion project. “As for resuming operations,” he added, “Qatar is ready to resume normal operations within a few weeks of the reopening of the Strait of Hormuz.” More generally, al-Kaabi rejected the notion that the Strait of Hormuz was obsolete, saying that it “carries trade in all products, not only oil and

Read More »

Executive Roundtable: AI Infrastructure Under Pressure

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

Read More »

ESENTIA to acquire Guadalajara-Manzanillo natural gas pipeline system

ESENTIA Energy Development SAB de CV, Mexico City, has agreed to acquire 100% of the equity interests of Energía Occidente de México S de RL de CV (EOM) from TC Energy Corp., Calgary, for a gross purchase price of $400 million. EOM owns and operates the 313-km Guadalajara-Manzanillo natural gas pipeline system, which runs from the Guadalajara area in Jalisco to Manzanillo, Colima, and is directly interconnected with ESENTIA’s Villa de Reyes-Aguascalientes-Guadalajara (VAG) pipeline system operated by Esentia Pipeline de Occidente S de RL de CV, an indirect subsidiary of ESENTIA. The pipeline transports up to 500 MMcfd of natural gas, connecting imported LNG supply near Manzanillo and continental gas supply near Guadalajara to power plants and industrial customers in Colima and Jalisco. Upon closing, the acquisition will extend ESENTIA’s pipeline network to the Port of Manzanillo on Mexico’s Pacific coast, making the company the only private operator with an integrated natural gas pipeline system connecting the Permian basin in Texas to Mexico’s Pacific coast, the company said in a release Sept. 21. The deal is part of ESENTIA’s strategy to build a cross-border transportation system and would “expand ESENTIA’s ability to serve existing and prospective customers within the combined system’s area of influence, including demand from power generation, industrial customers and potential LNG-related projects,” said Daniel Bustos, chief executive officer. ESENTIA also highlighted construction of its Aguascalientes Compression Station, which is expected to increase capacity on the VAG pipeline system beginning in early 2027. The project is part of the company’s three-phase expansion plan, which includes a total estimated investment of $680 million and an increase of 660 MMcfd in natural gas transportation capacity. For TC Energy, the transaction creates “optionality to redeploy proceeds from a mature asset towards high-value growth opportunities across our North American footprint,” said François

Read More »

Lenovo expands virtualization portfolio for AI

On the services front, Lenovo is restructuring its infrastructure deployment offerings around three defined service levels: Standard Deploy, Premier Deploy, and Premier Deploy Plus. The options are designed to allow customers to select a deployment model based on multiple factors, including project complexity, business criticality, internal IT capabilities and the amount of assistance required after deployment. All three services provide a structured readiness foundation and expert hardware installation. Premier Deploy and Premier Deploy Plus add implementation and operational handoff support, helping customers move from infrastructure delivery toward production-ready operations. Premier Deploy Plus also provides extended post-deployment assistance and a one-year infrastructure health assessment intended to help customers identify potential problems early. The health assessment excludes DE Storage Array.

Read More »

Roundtables: The Deadly Failures of The Virtual Border Wall

Available only for MIT Technology Review subscribers.
The US has spent billions building a “virtual wall” of surveillance towers along its southern border over the past 25 years, promising they will help detect and apprehend border crossers and save lives. But a groundbreaking investigation by MIT Technology Review has documented over a thousand people who moved through areas watched by these towers without being reached or apprehended, and who ultimately died there. Some were even under the watch of newly installed AI-powered towers designed to spot people automatically. Our findings reveal a humanitarian crisis more visible than previously known, and repeated failures of the virtual wall’s basic security promise. Join MIT Technology Review editors and reporters for a conversation examining the failures of border surveillance technology and uncovering the stories of the people who die in the borderlands. Speakers: Mat Honan, editor in chief, James O’Donnell, senior AI reporter, and Eileen Guo, features and investigations reporter Related Stories

Read More »

QatarEnergy NFE LNG Train 1 to start 1H 2027; Ras Laffan repairs to take 3 years

QatarEnergy expects the 8-million tonne/year (tpy) first train of its 32-million tpy North Field East (NFE) LNG expansion project to begin operations in first-half 2027, Reuters reported, noting that the timing of additional trains would depend on ​the Strait of Hormuz crisis. Speaking at the Qatar Economic Forum Special Edition in New York, QatarEnergy chief executive officer (CEO) and Qatari minister of energy affairs, Saad al-Kaabi, attributed the uncertainty to delays in delivering equipment needed for the expansion caused by the Strait of Hormuz disruption. Regarding damage to Qatar’s natural gas infrastructure sustained during the Iran war and its possible return, al-Kaabi said that repairs to the two LNG trains damaged at Ras Laffan (17% of its production capacity) would take 3 years. A damaged gas-to-liquids (GTL) train is expected to return to service first-quarter 2027. Al-Kaabi expects “a few” NFE trains to start production as 2027 progresses, and output from the 16-million tpy North Field South (NFS) expansion to begin in 2028, according to Reuters. The NFE and NFS projects are part of the overall North Field expansion program that also includes the North Field West project, which together will raise Qatar’s LNG production capacity to 142 million tpy from the current 77 million tpy. Al-Kaabi also thanked Qatar’s neighbors for being willing to allow construction of a gas pipeline across their territories to bypass Hormuz, while noting that doing so would be “redundant” and made “no economic sense” in light of the already underway North Field expansion project. “As for resuming operations,” he added, “Qatar is ready to resume normal operations within a few weeks of the reopening of the Strait of Hormuz.” More generally, al-Kaabi rejected the notion that the Strait of Hormuz was obsolete, saying that it “carries trade in all products, not only oil and

Read More »

ESENTIA to acquire Guadalajara-Manzanillo natural gas pipeline system

ESENTIA Energy Development SAB de CV, Mexico City, has agreed to acquire 100% of the equity interests of Energía Occidente de México S de RL de CV (EOM) from TC Energy Corp., Calgary, for a gross purchase price of $400 million. EOM owns and operates the 313-km Guadalajara-Manzanillo natural gas pipeline system, which runs from the Guadalajara area in Jalisco to Manzanillo, Colima, and is directly interconnected with ESENTIA’s Villa de Reyes-Aguascalientes-Guadalajara (VAG) pipeline system operated by Esentia Pipeline de Occidente S de RL de CV, an indirect subsidiary of ESENTIA. The pipeline transports up to 500 MMcfd of natural gas, connecting imported LNG supply near Manzanillo and continental gas supply near Guadalajara to power plants and industrial customers in Colima and Jalisco. Upon closing, the acquisition will extend ESENTIA’s pipeline network to the Port of Manzanillo on Mexico’s Pacific coast, making the company the only private operator with an integrated natural gas pipeline system connecting the Permian basin in Texas to Mexico’s Pacific coast, the company said in a release Sept. 21. The deal is part of ESENTIA’s strategy to build a cross-border transportation system and would “expand ESENTIA’s ability to serve existing and prospective customers within the combined system’s area of influence, including demand from power generation, industrial customers and potential LNG-related projects,” said Daniel Bustos, chief executive officer. ESENTIA also highlighted construction of its Aguascalientes Compression Station, which is expected to increase capacity on the VAG pipeline system beginning in early 2027. The project is part of the company’s three-phase expansion plan, which includes a total estimated investment of $680 million and an increase of 660 MMcfd in natural gas transportation capacity. For TC Energy, the transaction creates “optionality to redeploy proceeds from a mature asset towards high-value growth opportunities across our North American footprint,” said François

Read More »

Energy Department Announces $99 Million for 21 Projects to Advance U.S. Geothermal Energy Development

WASHINGTON—The U.S. Department of Energy (DOE) today announced more than $99 million for 21 projects selected to advance geothermal energy development across the United States. The projects will conduct field-scale tests of next-generation geothermal technologies and exploration drilling to characterize and potentially confirm promising geothermal resources.  Thanks to President Trump’s leadership, the Energy Department is advancing American geothermal innovation to unlock the nation’s abundant domestic energy resources. Geothermal can provide reliable, around-the-clock power to help meet growing demand while strengthening U.S. energy security. “These projects will empower American innovators to unlock the tremendous geothermal resources beneath our feet,” said DOE Under Secretary of Energy Kyle Haustveit. “Under President Trump’s leadership, we’re advancing next-generation geothermal technologies that can lower costs, strengthen American energy dominance, and turn more of our vast domestic geothermal resources into reliable and affordable power.” The 21 projects will advance geothermal development in two key areas. Five projects will conduct field-scale enhanced geothermal systems (EGS) tests to validate technologies under real-world conditions, while 16 additional projects will conduct exploration drilling to identify and characterize promising next-generation geothermal resources. Together, these efforts will help reduce technical and development risk and provide the information needed to support future commercial projects and investment.   Data generated by these projects will be publicly available through DOE’s Geothermal Data Repository (GDR), giving industry, researchers, and other stakeholders access to information from the field tests and geothermal exploration activities. Making these data available can extend the value of the projects beyond individual sites by helping inform future technology development and geothermal exploration across the industry.  Learn more about the selected projects here.  Selection for award negotiations is not a commitment by DOE to issue an award or provide funding. Before funding is issued, DOE and the applicants will undergo a negotiation process, and DOE may cancel negotiations and rescind the

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INA commissions new delayed coker at Rijeka refinery

Croatia’s INA Industrija Nafte DD has started up a new delayed coking unit (DCU) at its 90,000-b/d Rijeka refinery along the northern part of the Adriatic Sea, marking a major milestone in the refinery’s upgrading project. Following mechanical completion and commissioning, INA introduced feedstock into the DCU on Sept. 1, beginning production, majority owner MOL Group said in a release Sept. 21. The unit has operated continuously since startup and has reached about 70% of design capacity, the company said. The DCU—which  converts heavy refinery residues into higher-value products—has produced all key products at required quality and is anticipated to increase diesel production by as much as 30% from the same crude volume. MOL Group said the new DCU unit—once fully operable—also will eliminate Croatia’s need to import vacuum gas oil (VGO). The Rijeka refinery upgrade represents an investment of nearly €700 million, which is included in a combined €1.3-billion joint investment by INA and MOL Group in refining and logistics modernization during the past 12 years. “The start-up of the new unit went really well,” said Zsuzsanna Ortutay, president of INA’s management board, adding that the DCU would improve the sustainability and profitability of INA’s refining business while supporting energy supply in Croatia and the surrounding region. INA  plans to increase throughput and optimize process performance at the new unit gradually, with stable operation anticipated by yearend, followed by final plant performance testing and project closeout activities. Rijeka DCU project background INA awarded a lump-sum, turnkey engineering, procurement, and construction contract for the project to Maire Tecnimont SPA subsidiary KT-Kinetics Technology SPA in December 2019. The contract covered a new delayed coking complex with coke handling and ship-loading facilities, a sour-water stripper, and amine recovery units. It also included modifications to the existing hydrocracker, sulfur recovery unit, utilities, and

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Oil prices retreat as Middle East supply concerns ease amid diplomatic talks

Oil prices fell on Monday, Sept.21, with Brent extending its retreat from recent highs, as recovering Saudi crude exports and hopes for renewed US-Iran diplomacy eased fears of an immediate Middle East supply crunch. Brent crude futures and US West Texas Intermediate (WTI) crude dipped below $100/bbl to their lowest since Sept. 9. The move extends a four-session retreat from the recent surge in crude prices as traders reassess how severely regional conflict is constraining physical oil flows. Despite the continued uncertainty in the Middle East, news of a major rebound in Saudi crude oil exports in September weighed on prices. Saudi Arabia has increased shipments through the Strait of Hormuz to compensate for disruptions to its East-West pipeline following Houthi attacks on Saudi energy infrastructure. Saudi crude flows through the strait have averaged roughly 2.9 million b/d over the past 6 days, compared with about 700,000 b/d in August, according to satellite data cited by JPMorgan analysts. US Central Command Commander Admiral Brad Cooper confirmed on Sept.19 that, thanks to US naval escorts and mine-clearance efforts, oil and LNG shipments through the Strait of Hormuz in the past 2 weeks reached the highest level in 6 months. The recovery in Gulf exports has helped ease fears that attacks on Saudi infrastructure would translate into a prolonged loss of barrels from the global market. Meanwhile, investors are closely monitoring signs of potential diplomatic progress between Washington and Tehran during this week’s UN General Assembly. US President Donald Trump has expressed a willingness to meet with Iranian President Masoud Pezeshkian, while Iran has reportedly conveyed the conditions for resuming negotiations. Expectations that talks could eventually reduce regional tensions have removed some of the geopolitical risk premium that pushed crude prices higher earlier this month. Still, physical oil markets remain strained. Middle Eastern producers

Read More »

Trump Administration Moves to Keep Indiana Coal Plants Operating to Support Grid Reliability

WASHINGTON—U.S. Secretary of Energy Chris Wright issued emergency orders to keep two Indiana coal plants operational to ensure Americans in the Midwest region of the United States have continued access to affordable, reliable, and secure electricity. The orders direct the Northern Indiana Public Service Company (NIPSCO), CenterPoint Energy, and the Midcontinent Independent System Operator, Inc. (MISO) to take all measures necessary to ensure specified generation units at both the R.M. Schahfer and F.B. Culley generating stations in Indiana are available to operate. Certain generation units at these coal plants were scheduled to shut down at the end of 2025.  The orders will minimize the risk of unnecessary blackouts for the American people. Since the U.S. Department of Energy’s (DOE) original orders were issued on December 23, 2025, the Schahfer and Culley coal plants have proven critical to MISO’s operations, operating during periods of high energy demand and low levels of intermittent energy production, including during Winter Storm Fern.   “Forcing reliable, dispatchable coal generation off the grid would compromise energy reliability and needlessly raises energy costs for Americans,” said Energy Secretary Wright. “Midwestern families should not be forced to pay the price for the misguided energy subtraction policies of the past. They deserve affordable, reliable, and secure energy, regardless of the wind blowing or the sun shining.” Thanks to President Trump’s leadership, coal generating plants across the country are being saved from premature retirement. For example, in 2025, more than 17 gigawatts of coal power electricity generation were saved from going offline.  The availability of R.M. Schahfer and F.B. Culley generating stations to operate will continue to be an asset to maintain reliability in the MISO region and is necessary to address elevated reliability risks in that region during extreme weather and reduce the risk of power outages that could threaten public health and safety. As

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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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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

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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

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Roundtables: The Deadly Failures of The Virtual Border Wall

Available only for MIT Technology Review subscribers.
The US has spent billions building a “virtual wall” of surveillance towers along its southern border over the past 25 years, promising they will help detect and apprehend border crossers and save lives. But a groundbreaking investigation by MIT Technology Review has documented over a thousand people who moved through areas watched by these towers without being reached or apprehended, and who ultimately died there. Some were even under the watch of newly installed AI-powered towers designed to spot people automatically. Our findings reveal a humanitarian crisis more visible than previously known, and repeated failures of the virtual wall’s basic security promise. Join MIT Technology Review editors and reporters for a conversation examining the failures of border surveillance technology and uncovering the stories of the people who die in the borderlands. Speakers: Mat Honan, editor in chief, James O’Donnell, senior AI reporter, and Eileen Guo, features and investigations reporter Related Stories

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The Download: why AI’s latest breakthroughs and fears may be more hype than reality

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. Don’t be fooled by this summer of AI hype  —Timnit Gebru, executive director of the Distributed AI Research Institute (DAIR), and Emily M. Bender, professor of linguistics at the University of Washington It’s been a busy few months for AI hype, with companies making breathless claims about hacking, mathematical breakthroughs, and the prospect of self-improving superintelligence. In all these cases, massive fanfare from the companies, presented as mea culpas in the hacking incidents, has been accompanied by intense press coverage. But once experts have had time to examine what happened, very different stories emerge.
There’s a strong commercial incentive to overstate AI capabilities. The authors argue that the illusion of speed and urgency promulgated by the tech companies is also a ploy to misdirect policymakers and the public. Here’s why they say we must remain skeptical about AI hype.
The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 22 nations have called for a new global body to oversee AIThey want pre-deployment testing and common safety standards. (Politico)+ But neither the US nor China are part of the new declaration. (NBC News)+ Meanwhile, OpenAI has proposed its own global AI safety standards. (Axios)+ The company wants the US to lead the international effort. (Reuters $)+ Could AI really kill us all? (MIT Technology Review) 2 Texas and California have moved to rein in data centersTexas has halted new permits pending a grid audit. (NBC News)+ California has passed new laws covering power and water use. (LA Times $)+ Data centers are amazing. Everyone hates them. (MIT Technology Review) 3 Chipmaker AMD has become the twelfth $1 trillion companyAI chip sales have helped its shares rise more than 180% this year. (CNBC)+ Hyperscalers are making a trillion-dollar bet on AI. (MIT Technology Review) 4 Meta’s AI agent Muse has overtaken ChatGPT to top the US App StoreIt’s helped set Meta shares for their best month in 13 years. (Quartz)+ But Muse has a major zero-day vulnerability. (Ars Technica)+ And Amazon has blocked the agent from shopping on its site. (GeekWire) 5 A new edible battery could power medical devices inside the bodyIt could run sensors, cameras, and drug-delivery capsules. (Economist $)+ It’s been tested in pigs with an RFID tracker and stomach stimulator. (Nature) 6 Trump’s budget chief could gain veto power over NIH grantsThe NIH is the world’s largest funder of biomedical research. (Ars Technica)+ Trump’s firings dealt another blow to science. (MIT Technology Review)

7 Epigenetic editing has reached human trials for hepatitis BThe treatment uses chemical tags to shut down viral DNA. (Nature) 8 Tree vaccines and gene-edited butterflies have won UK biotech fundingThe projects aim to boost nature’s adaptation to climate change.(Guardian)+ Why this summer was so hot—and 2027 could be worse. (MIT Technology Review) 9 A rocket shortage is making it harder to get satellites into spaceSpaceX is winding down Falcon 9 as rivals struggle to catch up. (WSJ $) 10 Something has gone badly wrong with Dyson’s $500 toothbrushA mysterious “component issue” has emerged. (Wired $) Quote of the day “If AI succeeds, then it may kill all of our jobs. If it fails, then the whole economy falls apart, and your 401(k) blows up, and maybe you still lose your job.” —Ben Casselman, the New York Times’s chief economics correspondent, explains why people feel trapped in a lose-lose dynamic with the AI boom. One more thing How wind tech could help decarbonize cargo shipping Cargo shipping is responsible for about 3% of the world’s annual greenhouse-gas emissions, and the industry is under pressure to find alternatives to fossil fuels. Wind power is one option.
In the Marshall Islands, where people have relied on wind-powered vessels for millennia, a new cargo sailboat inspired by traditional vessels made its maiden voyage last year. It could cut emissions by up to 80% compared with a fuel-powered cargo ship. See how engineers are bringing wind power back to cargo shipping.
—Sofia Quaglia We can still have nice things

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Don’t be fooled by this summer of AI hype 

It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models. This was followed by Anthropic’s claim that one of its models had made a mathematical breakthrough; soon OpenAI claimed a mathematical breakthrough of its own. Most recently, Anthropic engineer Jacob Coxon went viral announcing his departure from the company, claiming that it and OpenAI are “racing straight towards self-improving superintelligence and gambling with our lives.” Each of these events was mostly covered breathlessly by the press, often repeating the companies’ anthropomorphizing framings—which are designed to portray their software is not only powerful but incipient “artificial general intelligence.” So what is really going on? Are we witnessing a massive, civilization-changing set of technological breakthroughs, or is this marketing? In all these incidents, massive fanfare from the companies (presented as mea culpas in illicit hacking cases) is accompanied by intense press coverage. Once there is time for experts in the relevant fields to examine what happened, a very different story emerges, but one that gets less media attention.
Regarding the “hacking” incidents, cybersecurity experts say the story is more about OpenAI’s negligence and failure to adopt basic, established security practices than about “models gone rogue” or “AI agents creating civilizations.”  As for the mathematical results, mathematicians who were initially “stunned” by OpenAI’s press release saying that its latest chatbot, Astra, solved problems that “have been open and seen no progress on the main result for at least a decade”—but they later realized that the results weren’t as “novel as first appeared.” Since then, mathematicians have accused the company of research misconduct and plagiarism, and they’ve reiterated that Astra didn’t make a “profound intellectual leap.” Just weeks later, OpenAI claimed its own mathematical breakthrough. Two days before, Tristan Buckmaster, a math professor at New York University’s Courant Institute, published a bombshell statement suggesting that OpenAI had stolen other people’s work and improperly attributed it. 
Claims of incipient, dangerous superintelligence are not based in good scientific or engineering practice. Rather, they are narratives based in ideologies of transhumanism, eugenics, and wishful thinking about imagined future digital humans. It’s worth thinking about why there is so much attention on computer programming and math as fields in which to apply large language models and related technology. Not only are they often elevated as the pinnacle of human intellectual achievement, but they involve problems where answers, once suggested, can be verified. The former property helps AI hype mongers sell the idea that they are building everything machines. The latter makes math and coding problems easier to tune systems for, since system output (sequences of likely words or pieces of computer code) can be evaluated without having to pay data workers to look at and annotate each one. Mathematicians in particular have warned against corporations using their field in this way. A statement signed by hundreds of them says there is “currently a strong commercial incentive on the part of the technology industry to overstate the capabilities of their products” and asks policymakers to “consult with experts, including mathematicians, in forming policy decisions rather than relying on press releases or popular reporting of mathematical results.” We echo this call and note that the illusion of speed and urgency promulgated by the tech companies is also a ploy to misdirect both policymakers and the public. Unfortunately, it sometimes works, such as with Senator Bernie Sanders’s well-meaning but ultimately misguided proposed legislation to prevent the development of “artificial superintelligence.” Describing them as “superintelligence” or “rogue models” ascribes agency to products rather than to the companies building them. This framing markets these companies’ products as “superhuman” and, at the same time, helps the companies evade accountability for their actions.  Instead of OpenAI being prosecuted for creating malware that hacked another company, press releases, news outlets, media personalities, and lawmakers refer to “rogue models” as if they acted on their own. Instead of researchers being questioned about their companies’ habit of plagiarizing academics’ work or using customer data to train models without consent, the public’s imagination is redirected to fears about what the future might hold upon the arrival of fictional superintelligent machines.   The AI industry has even suggested that popular, bipartisan anti-data-center activism is a “distraction” from attempts to regulate the impending, scary, “superhuman” machines these companies are building. According to the AI industry, we should be more worried about a fictional machine god than about the climate catastrophe that these data centers exacerbate, the asthma suffered by those living near them, the rising electricity bills of the public subsidizing them, or the water that is redirected to cooling them.  We know better than to make decisions based on marketing and better than to capitulate to corporate pressure to make those decisions quickly. Wise decision-making, by policymakers and communities, demands time to hear from independent experts and contextualize corporate claims. The best possible outcome from this summer of hype is that policymakers and the public at large learn to take a breath, hold onto our skepticism, and recognize this kind of hype for what it is the next time it comes around. Timnit Gebru is executive director of DAIR and author of the forthcoming book Deep Unlearning: The Radicalization of a Tech Idealist, which is available for preorders now and set to publish on February 16. Emily M. Bender is professor of linguistics at the University of Washington and coauthor of The AI Con.

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The Download: investigating deaths at the US border’s “virtual wall”

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. The US spent billions on border surveillance. Why can’t it catch people before they die? When José Morales Bernal crossed the border into the US in April 2024, the day before his 32nd birthday, he was within range of three surveillance towers equipped with cameras and AI to automatically detect and track people. If the system worked as intended, Morales should have been apprehended. If he needed medical help, agents were trained to provide it. None of that happened. Instead, Morales died just 360 feet from the closest tower. It was local landfill workers, rather than Border Patrol, who first spotted him. An autopsy concluded that he had died of “environmental exposure.”
A first-of-its-kind investigation by MIT Technology Review reveals that deaths like Morales’s are startlingly common. After mapping nearly 4,000 locations where human remains were found against information on nearly 600 surveillance towers, we discovered that a humanitarian crisis at the border has unfolded in view of the government’s own cameras. Read our full investigation into the deadly failings of the virtual wall.
—James O’Donnell and Eileen Guo Learn more: As part of our 15-month investigation, we created the first comprehensive map of deaths near US-Mexico border surveillance towers. Take a look at that map, and read about how we made it.  The US government is about to spend another $1 billion to triple the virtual wall’s size, yet we found it has systemic flaws: broken towers, algorithms that failed to detect people and agents who simply did not respond to alerts. Here are four ideas for what Customs and Border Protection should do to rectify those failures. An analysis by the Times of San Diego found at least 138 cases since 2022 in which migrants’ remains were found within the nominal range of a nearby surveillance tower. A separate MIT Technology Review analysis estimated that more than half of those people were likely within a tower’s field of view. Gómez Hernández was one of them. Here’s her story, written by our partners at Times of San Diego.  All of these stories are part of Dying on Camera, our new series investigating the failures of border surveillance technology and their human cost. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 An AI hallucination nearly triggered a US military operationA false report prompted plans to intercept a Chinese vessel. (CNN)+ The incident comes as the Pentagon accelerates its use of AI. (Ars Technica)+ “Humans in the loop” in AI war is an illusion. (MIT Technology Review) 2 Gemini has carried out Google’s first known autonomous AI hackGoogle says the behavior wasn’t “misaligned” because its safety measures caught it. (WSJ $)+ Here’s why AI agents cheat to reach their goals. (MIT Technology Review) 3 The US has proposed an AI safety alert system with ChinaIt would flag AI incidents that pose national security risks. (AP)+ Trump and Xi will consider the proposal at their summit this week. (NBC News)+ Could AI really kill us all? (MIT Technology Review)

4 California’s governor has ordered work on an AI “kill switch”It’s part of Gavin Newsom’s executive order on AI safety. (NBC News)+ The order also calls for independent oversight of AI companies. (NYT $) 5 Data centers are turning to forever chemicals for coolingPFAS cooling can reduce water use but raises pollution risks. (Fortune)+ US regulators are fast-tracking PFAS for data center cooling. (The Hill) 6 Iran and China used AI agents to automate influence campaignsThe agents created fake accounts and posts with little human input.(NYT $)+ AI persuasion has entered elections. (MIT Technology Review) 7 Trump wants a new AI czar and an “AI Force” modeled on Space ForceBut he hasn’t said what the new force would do or where it would sit. (Axios)+ The tech industry is scratching its head over the proposal. (Politico) 8 A cybercrime feud has erupted after a group hijacked a rival dark websiteThe notorious ShinyHunters says it took control of cl0p’s site. (Reuters $) 9 Gambling giant DraftKings used AI to target “profitable losers”The model scored users on how they responded to promotions. (NYT $) 10 SpaceX’s next Starship flight will attempt its first orbital missionIt will also deploy working Starlink V3 satellites. (New Scientist $) Quote of the day
“There is 0% chance that’s going to be the end of the world.” —Nvidia’s Jensen Huang dismisses warnings that AI could wipe out humanity by 2030 in an interview with CBS News. One more thing
AI is pushing the limits of the physical world Architecture often assumes a binary between built projects and theoretical ones. What physics allows in actual buildings is vastly different from what architects can imagine and design. But the latest advancements in AI have prompted a surge in the theoretical. That shift was on display at an exhibition at Brooklyn’s Pratt Institute, which brought together works from more than 30 practitioners exploring AI’s experimental, generative and collaborative potential to open up new areas of architectural inquiry.

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How we made the first comprehensive map of deaths along the US border’s “virtual wall”

Our 15-month investigation into death and surveillance along the US-Mexico border began with a simple question: Why did so many people die near government surveillance towers meant to help track and apprehend them? This story is part of Dying on Camera, a collaboration between MIT Technology Review and Times of San Diego. Journalists in both newsrooms spent the past year examining the failures of border surveillance technology and uncovering the stories of the people who die in the borderlands. To answer that question, we looked through thousands of pages of government documents, visited the border multiple times, and interviewed more than 45 people, including current and former White House advisors, presidential appointees, Border Patrol agents, medical examiners, sheriffs, humanitarian volunteers, and employees of tech companies. The result of our investigation is the first comprehensive map and analysis of deaths near border surveillance towers. Here’s how we built it, what decisions we made along the way, and what the data can and can’t tell us. Our data The investigation relied on knowing where migrants have died and where and when US Customs and Border Protection towers were installed. We analyzed cases dating back to 2015, allowing us to cover different border policies, presidential administrations, and tower technologies. Migrant deaths The US-Mexico border has been called the world’s deadliest land border, and Border Patrol estimates that more than 10,000 people have died during crossings since 2000—a figure that’s widely considered an undercount. But the amount of information available publicly on where and when these people died, and who they were, varies widely. Some remains are never discovered, and for those that are, there’s no national protocol for how the records are handled.
We considered a case for further analysis if we could confirm three basic things: whether the person was believed to have been crossing the border, where the remains were found, and roughly when the person died.  We created our dataset by merging existing ones that had been compiled and shared by other organizations, including No More Deaths, Humane Borders, and the Electronic Frontier Foundation, with new records we obtained ourselves from more than a dozen agencies.
Public records requests in Texas Texas was the biggest missing link in most existing databases of migrant deaths. Unlike Arizona, it has no initiative to share records online, and unlike New Mexico, it leaves individual counties to handle their own death investigations. Some records for those individual counties existed, compiled by a handful of dedicated researchers, but nothing was comprehensive or current.  We identified 17 counties in Texas that would be relevant to our investigation: Culberson, Jeff Davis, Presidio, Terrell, Val Verde, Kinney, Maverick, Dimmit, Webb, Zapata, Jim Hogg, Starr, Hidalgo, Cameron, Kenedy, Brooks, and Duval. There are other counties in which migrants have died, but they do not have areas covered by surveillance towers and were therefore excluded. In most of these counties, locally elected administrative judges called justices of the peace collect the most comprehensive information on local deaths. But records requests submitted to these individual judges can stall for years (indeed, some of our requests to justices of the peace remain unfilled more than a year after we filed them). Reports from justices of the peace sometimes leave out the scene or location details we needed; some justices never even visit the place where a migrant died, instead formally declaring the person deceased over FaceTime with the first responders on scene. The border wall between Sunland Park, New Mexico and Puerto de Anapra, Mexico.GETTY IMAGES MIT Technology Review instead filed records requests to the sheriffs of these 17 counties beginning in July 2025. These agencies are often first on the scene when a death is discovered, and their reports can have more detailed information on where remains were found. But relying on sheriffs’ records means our analysis undercounts migrant deaths in Texas, as it doesn’t include any deaths handled by local or state police. After we filed a request, it took periods of near daily calls to the offices to receive the records, if we received them at all. Some were provided with no charge. Other counties charged between $300 and $1,300 to fill our request. Counties warned that their records were incomplete, with an unknown number lost during a move, damaged, destroyed, or misplaced during transitions between sheriffs. Those delays were compounded because most agencies do not record whether a person is believed to have been crossing the border when they died. That’s despite provisions in some counties that allow officers to track far more granular details about other situations; Zapata County reports have a checkbox to indicate whether jewels were stolen in a burglary, for example, while Cameron County reports have one for whether a burglar entered through a chimney. Without a way to readily identify migrant deaths, offices had to pull records by hand, making the process slower, more costly, and more prone to error. We received usable records from 14 of these counties (records have yet to be received from Dimmit or Duval, and Maverick’s office charged a per-record fee that was cost prohibitive). Agencies generally sent us police reports for each individual case, amounting to over 4,000 pages of records in total. Some were handwritten documents. 

Except for the reports from Kenedy, Webb, and Hidalgo Counties, we pulled out the relevant information by hand. For those three counties, which sent large volumes of records, we used Anthropic’s Claude, accessed via API, to inspect each case report and pull out coordinates of the spots where remains were found; then we checked batches of those cases by hand to verify the AI’s accuracy. Agencies sent us records on a rolling basis from July 2025 to February 2026, and most did not specify the date through which their records were current. We generally trusted that agencies sent us cases they believed involved migrant deaths, since they had the most information about each case. But some records clearly suggested otherwise (indicating, for example, that someone died at home), and we excluded those cases. Several hundred cases were removed from our analysis because they didn’t include enough information for us to be certain where the remains were found. In fewer than 100 cases, coordinates were not listed but the description was specific enough for us to locate a point within 0.25 miles of where they were found—so we kept those in.  Compared with agencies in other states along the border, those in Texas provide far fewer details regarding how long ago someone may have died before remains were found or how far the decomposition of those remains had progressed. Some reports included this information, but many didn’t. While autopsy records sometimes have more details, many migrant autopsies in south Texas are done through the Webb County Medical Examiner, which charges a fee for each report. That was cost prohibitive given the scale of our analysis. MIT Technology Review consulted with Greg Hess, director of Arizona’s Pima County Office of the Medical Examiner, on a framework for translating descriptions of the scenes, bodies, and causes of death available in many of these records into rough estimates for when a person may have died (more detail on this process is provided below). In total, we included more than 1,500 cases from our Texas records requests in our final analysis. Accessing Arizona records directly The Pima County Office of the Medical Examiner (PCOME) in Arizona handles death investigations for all border counties in the state except Yuma (we sourced Yuma’s records from the organization No More Deaths, as detailed below). The office determines which cases it believes to be border crossers. It publishes a data portal for these migrant deaths that’s updated monthly and shares its data with the organization Humane Borders, which then publishes it in a map and database. We included the data from 2015 through April 2026.
Humane Borders notes for each case how precise the location description is. We included only cases with GPS coordinates precise to within 300 feet. Collecting these coordinates has been standard practice since around 2012. The records also include an estimate of when the individual died, ranging from less than a day to at least six to eight months before remains were found. In total, we included more than 1,700 cases from Humane Borders in our analysis.
Data collected by No More Deaths To obtain data on deaths in California, New Mexico, Arizona’s Yuma County, and El Paso and Hudspeth Counties in Texas, we turned to the nonprofit organization No More Deaths, which has tracked migrant deaths since 2004. It publishes information about its records requests and its methodology.  Many of the cases in its database include GPS coordinates, sometimes with notes that the location is only approximate—for example, accurate to within half a mile or one mile. We included only cases where the location was known to within a quarter-mile. Migrants, most with children, follow a path along the concertina wire where ultimately they will placed under guard by Border Patrol after having crossed the Rio Grande on May 27, 2022 in Eagle Pass, Texas.JOHN LAMPARSKI/NURPHOTO VIA AP No More Death’s database includes, when available, information on the level of decomposition in which each set of remains was found. As with cases in Texas, MIT Technology Review consulted with PCOME’s Greg Hess on a framework for translating this information into rough estimates for when a person may have died.  Here’s where the No More Deaths data used in our analysis comes from: In California, No More Deaths requests records from the San Diego County medical examiner and the Imperial County coroner. Its latest data for Imperial County is from December 2025, and its latest for San Diego County is from October 2025.  In Yuma County, Arizona, No More Deaths requests records from the Yuma County medical examiner. The latest data is from September 2025. In New Mexico, the organization requests data from the state’s Office of the Medical Investigator. Unlike most states, New Mexico has a statewide medical examiner, allowing No More Deaths to obtain migrant death data for the entire state. The latest data is from July 2025. For Hudspeth County, Texas, No More Deaths requests records from justices of the peace in Districts 1 and 2. The latest data is from December 2023. For El Paso County, Texas, records were from the El Paso County Office of the Medical Examiner. The latest data is from September 2025. In total, we included nearly 1,000 cases from No More Deaths in our analysis.  Total cases reviewed When accounting for all our data sources and excluding deaths without specific enough records to determine where remains were found, we analyzed a total of nearly 4,000 cases. 
Other notes  We generally assume that a person died where their remains were found. That may not necessarily be true: Remains can be moved by other people, flowing water, or animals. But medical examiners and researchers we consulted said such cases are rare. We excluded cases in which the virtual wall did not appear relevant. For example, we removed cases involving people who died inside Border Patrol stations or in car crashes during pursuits.  The deaths we analyzed reflect a variety of causes that may seem at first like very different sorts of surveillance failure. If someone slowly died of dehydration within view of a camera, for example, agents would have had far more time to intervene than they would have in a case where someone drowned quickly in a river or canal. But we included all these deaths because, in each one, the virtual wall could have prompted a response from agents. Surveillance towers Including a tower in our analysis required knowing three things: its location, its type (so that we could judge how far it is supposed to see), and the time it was installed. 
Locations The Electronic Frontier Foundation has been tracking and mapping CBP surveillance towers since 2023, using on-the-ground reporting, satellite imagery, and government documents obtained through public records requests. Its tally is an undercount; government records suggest that about 800 towers are currently deployed, while EFF has logged about 600. Our analysis therefore misses deaths that occurred near towers not yet catalogued by EFF. MIT Technology Review worked closely with EFF’s director of investigations, Dave Maass, throughout this project. Our tower data began with the database published by EFF in April 2026, but that map did not include towers that have been removed. We consulted EFF for the details on these former towers and added them to our database. We generally use EFF’s reference numbers for individual towers, but we changed some to ensure that each tower has a unique identifier. The locations are identified by GPS coordinates. We verified each tower’s coordinates by analyzing satellite imagery. Tower types Our analysis focused on towers of three main types. Certain towers mapped by EFF don’t fall into any of those categories, so we excluded them because it’s difficult to obtain information about how far they are supposed to be able to see. This includes some towers that are installed at Border Patrol checkpoints or stations. An integrated fixed tower (IFT) on Coronado Peak, Cochise County, Arizona.CREATIVE COMMONS An autonomous surveillance tower (AST) near Sunland Park, New Mexico.CENGIZ YAR FOR MITTR To know how far the main tower types could see, we consulted materials from tech companies and EFF’s research, led our own review of government documents, and interviewed former Border Patrol agents and officials. The distances described are consistent across these sources. But they are advertised estimates, not contractual guarantees: Some government records redact more specific information about a tower’s surveillance range in particular locations, citing security concerns. When towers were present To know if a tower in place now was present when someone died, it’s essential to know not just where it’s located but also when it was put there. To figure this out, we used multiple sources of satellite imagery.  Maass, at EFF, had previously analyzed some of the towers to determine when they first appeared. MIT Technology Review checked satellite imagery for these towers to confirm these timelines, and then checked for all the remaining towers. For each tower, we logged the date that it first appeared and, if it eventually disappeared, the last date it was present. We spent months meticulously checking when hundreds of towers appeared in multiple sources of satellite imagery to confirm there were no contradictions.  This is easier for certain tower types than others; towers from Anduril, for example, tend to go up where there was no prior infrastructure, and it’s fairly easy to see how a patch of empty desert gave way to the new tower and its trademark solar panels. Other towers, like IFTs, were often built on or near existing structures. For these, we leaned more closely on EFF’s expertise in analyzing the imagery.  When imagery wasn’t sufficient, we used Google Street View, government documents, or photographs collected by EFF to verify when towers went up. One limitation is that historical imagery of towers along the border is not available for every day in the past. Especially for older towers or those in remote locations, images may have been taken months or even a year apart. A tower visible in May and again in December could theoretically have been removed and reinstalled in the intervening months. But most tower systems are permanent structures. And multiple Border Patrol agents told us that even towers that are meant to be mobile, like autonomous towers, are in practice very rarely taken down or moved (consistent with this, we observed that semipermanent fences were erected around the sites of many Anduril towers). Another limitation is that even if a tower is visible at a particular time, that does not mean it was online. We can’t verify that it was functional, receiving power, or transmitting data. Our analysis therefore establishes when a tower was present, not whether it was operational. Heights We conducted a topographical analysis, detailed below, to see whether a tower’s view of a given person might have been blocked by the terrain. This required estimating how tall each tower is.  We included a minimum and maximum height for each tower, based on research from EFF. In select cases where the surveillance system was not on a typical tower but mounted to an existing structure, like a water tower or building, we used satellite imagery to estimate its height. The higher a tower is, the farther it can see. Our analysis With the data we collected, we could begin to see which deaths happened in range of the virtual wall. But for a given match between a set of remains and a tower to count, it needed to satisfy two criteria: 1) Distance: The death must have happened within the published surveillance range of the nearby camera. 2) Timing: The tower had to be present when the person was estimated to have died. An autonomous surveillance tower from Anduril captured January 6, 2022. Distance Minho Kim, an outside collaborator who is now a postdoctoral researcher at Stanford with a focus on wildfire mapping, led the distance analysis. His software ingested our database of human remains and our database of towers. Then it created a row for each time a set of remains was found near a given tower, along with the distance between the two. We then checked whether, for each match, the tower was actually present when the person died. Timing Sometimes, as with the Arizona cases, an estimate of when someone died is given in the original data; the medical examiner may note that a person died more than three weeks but less than five weeks before remains were found, for example.  In other cases, we used the level of decomposition, the cause of death, or both to calculate a window of time in which the person would likely have died. Finally, we compared this window with the time when we determined the tower was built.  This step took us many months and involved reviewing original police reports for hundreds of cases, inspecting photos of bodies, cross-referencing cases with news articles, interviewing medical examiners, and researching decomposition timelines. The resulting death windows are approximate, but they are the best estimates we could make from the information available in each case. We assigned different confidence levels to cases based on how these dates lined up. If a person’s entire estimated death window fell well after a tower was first observed, we felt confident the tower was present when they died. If any part of the death window fell before the tower was first observed, we excluded the case. Many cases involve skeletal remains. Remains decompose differently depending on location and season, but when records didn’t provide a specific estimate, we conservatively estimated that skeletal remains had been there for at least six months. For these and other cases without a specific estimate of when the person died, we used three years as a conservative cutoff: If a tower had been present for at least three years before the remains were found, we included the case, judging it unlikely that the person had died before the tower was installed and remained undiscovered that long. If the tower had been present for less than three years, we excluded it. Viewshed It is possible that someone who died within range of a tower could have been blocked from the tower’s view by terrain, vegetation, or buildings. We estimated the impact of this issue with a technique called topographical analysis. Kim, our collaborator, led this part of the analysis. Here’s how it works: Imagine a map of the border region divided into a grid, with each square having one value for that area’s elevation. Take a given match between a set of remains and a tower and draw a line between the tower’s estimated height and an estimated height of 5’ 6″ for the person who died. If the terrain along that path rises high enough to block the line between the two points, we estimate the tower’s view as obstructed. If it doesn’t, we estimate the view as clear. It’s not perfect. In the elevation data we used, each square represents an area 30 meters wide, or about 98 feet, and is assigned a single elevation. That means smaller changes in the terrain can be lost, particularly in steep or rugged areas where elevation changes quickly. Our analysis is therefore less about re-creating exactly what a tower could see than providing a rough estimate of whether terrain may have blocked a tower’s view of the spot where someone died.  We include results on our map whether a clear line of sight was estimated or not. Even if the location where someone died was blocked from a tower’s view, the person may have passed through areas visible to the tower before reaching that spot. It’s much harder to estimate whether a line of sight was blocked by vegetation. We are less concerned about this limitation because virtual-wall towers use thermal imaging, which can detect body heat through light vegetation. Dense vegetation, however, can still obstruct their view. Buildings pose a greater challenge. We could not reliably account for their locations and heights. Instead, we reviewed each tower’s surroundings and flagged towers located in or near urban areas. These notes warn readers that buildings may have limited what those towers could see. As the sun sets near McAllen TX, migrants that have crossed the Rio Grande surrender to U.S. Border Patrol near an area known as Rincon. MANI ALBRECHT/U.S. CUSTOMS AND BORDER PROTECTION Beyond the data  The most fundamental question in each of these cases, and for the families of anyone who died, is whether the US government saw someone attempting to cross into the country and never intercepted them—or never saw them at all.  This is all but impossible to answer with records or data—Border Patrol doesn’t disclose which alerts came in surrounding any given migrant death, and footage isn’t retained unless an internal investigation is triggered, which doesn’t happen unless a migrant dies while in custody. MIT Technology Review instead conducted dozens of interviews with people who worked for Border Patrol, Customs and Border Protection, or the Department of Homeland Security or who served as presidential advisors. These conversations yielded previously unreported details about how agents use surveillance technology, turned up instances where it has underperformed, and underscored how seldom its effectiveness is evaluated internally. We also sought out friends and family members of people who died near surveillance towers, using additional records, social media, and other research tools to find them. We approached these interviews using best practices for trauma-informed reporting. Beginning in September 2025, MIT Technology Review requested interviews with current Border Patrol agents and leadership at CBP, and we asked to visit the border to understand the strengths and weaknesses of the latest autonomous tower program. Following delays, which were in part related to DHS funding lapses, in July 2026 we were told our media request had been approved at the local level in Big Bend, Texas. We wanted to visit this area because Border Patrol is expanding the number of Anduril towers there. But when the request went up to the DHS headquarters for a final sign-off, the agency denied it. Before publishing our investigation, we sent detailed questions to CBP, Anduril, General Dynamics and Elbit. CBP and Anduril responded, but did not substantively address our questions. General Dynamics referred us to CBP. Elbit did not respond to our questions. MIT Technology Review thanks the following for their assistance with this project: Minho Kim, Stanford University Greg Hess, Pima County Office of the Medical Examiner  Stephanie Leutert, University of Texas at Austin Don White, Brooks County Sheriff’s Office

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4 ways to address the failures we found along the US border’s “virtual wall”

MIT Technology Review today published our investigation into how many people have died near the “virtual wall” of surveillance towers that the US government has installed along the US-Mexico border. We found cases of people who walked undetected through areas surveilled by advanced, AI-enabled towers and later died nearby, where their bodies remained unnoticed for weeks or months. These cases reflect systemic flaws in the virtual wall: broken towers, algorithms that failed to detect people, and agents who simply did not respond to alerts. This story is part of Dying on Camera, a collaboration between MIT Technology Review and Times of San Diego. Journalists in both newsrooms spent the past year examining the failures of border surveillance technology and uncovering the stories of the people who die in the borderlands. Each of these deaths should have raised alarms inside US Customs and Border Protection (CBP) about the flaws in the agency’s surveillance network. This is particularly true for cases near the latest towers built by the defense company Anduril, which continues to win major contracts and is poised to benefit from the windfall of federal money slated for border security. The US is set to spend $1 billion to triple the size of the virtual wall by 2034. Here are four ideas for what CBP should do next to address these failures. 
1. Conduct a comprehensive audit of deaths near the virtual wall In this June 16, 2021, file photo, a family from Venezuela moves to a Border Patrol transport vehicle after they and other migrants crossed the U.S.-Mexico border and turned themselves in to agents in Del Rio, Texas.ERIC GAY/AP PHOTO “If I were the federal government, I would do an audit, because this feels like it’s not working.”  That was New Mexico state representative Sarah Silva’s reaction when MIT Technology Review showed her that in 2024 alone, more than 18 people had died near surveillance towers in just one small stretch of desert near her district.
An audit is necessary because, despite poring over thousands of pages of police reports and other documents about surveillance towers, we have only limited knowledge of how many towers are out there and where they’re located.  CBP does not publish a comprehensive map of its virtual wall. We instead relied on mapping work led by the nonprofit Electronic Frontier Foundation and then used satellite imagery to verify where specific towers were and approximately when they were installed.  We analyzed lots of towers—nearly 600. But that’s still far less than the 800 the government says operate today. And our estimates of when they went up are inexact. That means our tally of more than 1,050 people who have died near them is an undercount. And we don’t have a complete picture of where along the border the problem is worst. An internal audit would not have such limitations. In theory, CBP tracks when each tower went up and when it was active. It has had the ability to audit their effectiveness—while quantifying how many people have died near them—since at least 2015, when it began installing the types of towers included in our analysis. But sources told us it has never done such an audit. Our findings make the need for one more urgent. 2. Fix the way the agency tracks migrant deaths and remains If CBP is to analyze instances where people have died near its surveillance technology, it needs to know when and where those deaths happen. And the current system for tracking that data is beyond broken. As we note in our methodology, there is no national agency that collects and publishes all available records on migrant deaths. We sifted through thousands of pages of records from dozens of agencies in Texas alone, and our picture is still incomplete owing to the lack of a shared protocol for documenting these deaths in public records.  Border Patrol has had its own internal system, called the Border Safety Initiative Tracking System (BSITS), in place since 2007. But it wasn’t until 2021 that national rules were established for how different sectors should enter cases into the system. The next year, the Government Accountability Office (GAO) found that many cases still weren’t being tracked in this system, especially deaths that weren’t discovered by Border Patrol. In 2023, the GAO reported that Border Patrol has taken steps to fix that, but outside researchers consistently find the agency’s estimates to be undercounts even today. In addition to tracking migrant deaths, CBP launched a program in 2017 to prevent them, called the Missing Migrant Program. In April 2025, the GAO found the program was improving the way it collected and tracked data about events like 911 calls and rescues. The problem, it said, was that there was no plan in place to use the data to measure whether the program was actually increasing rescues or reducing deaths, which are its primary goals. It made two recommendations for solutions, neither of which has been implemented.

3. Track cases when surveillance technology leads to an apprehension In 2014, when the virtual wall was much smaller, the GAO suggested that Border Patrol agents log when a piece of technology helped them apprehend someone who was trying to enter the US illegally. It would take agents some extra time, but logging these assists would help Congress understand how often various surveillance technologies were leading to actual apprehensions. Once this data was collected, GAO added, the agency should measure whether its surveillance technologies were working. CBP agreed, and it started requiring agents to enter such information. U.S. Border Patrol agents apprehend people crossing the border illegally near Sunland Park, N.M., July 17, 2024.GLENN FAWCETT / CBP PHOTO Then, in 2017, the GAO reported that the data being collected was inaccurate and unreliable; it found agents in Texas, for example, who were crediting a specific type of tower in apprehensions hundreds of times, even though no such towers existed anywhere in the state. Border Patrol again said it would improve; it agreed to train agents on the importance of collecting such information. But years later, agents told us, it’s still not a priority. One former CBP official described the mandate as “spitting in the wind, to be honest,” and said the messy reality of apprehensions doesn’t translate into neat metrics. (The official, who requested anonymity, served during the Biden administration and wasn’t authorized to discuss sensitive issues.)  And in August 2021, more than seven years after it agreed to do so, CBP still had not produced any analysis on the towers’ effectiveness (it finished one in 2022, the GAO notes, but the results are not public). That means the virtual wall is growing faster than anyone is assessing its impact. 4. Investigate deaths as potential surveillance failures CBP should also examine new deaths as they occur and determine whether they happened within sight of a tower or other surveillance technology. And for those that did, the agency should determine why those people weren’t spotted sooner. Several agents and officials told us that if Border Patrol agents come across the body of someone presumed to have died while crossing into the US, there’s no requirement to check whether that person died near surveillance infrastructure and no process for doing so. At a minimum, that means potentially valuable evidence about the death goes unexamined. It also means that migrant deaths are not routinely treated as possible failures of the virtual wall. CBP should automatically check every migrant death against its internal database of towers and investigate those that occurred within surveillance range to determine what the system detected and whether agents responded appropriately. Agents already log GPS coordinates when they apprehend a group or encounter footprints, among other events.
Without that check, law enforcement, medical investigators, and families may never learn that someone died near a surveillance tower—and that footage of the moments leading up to the death may exist. CBP typically deletes surveillance footage from the towers after 30 days unless an internal review is opened, which usually happens only for deaths in custody. At a minimum, flagging these cases could preserve footage for those investigating the death and give families a chance to request it. Such reviews could also expose flaws in the virtual wall itself. Consider one location we identified in New Mexico, where several people died despite being in clear sight of an advanced AI tower. They died within the span of a few months, sometimes just hundreds of feet from one another. Investigating these cases might reveal, for example, that a camera repeatedly failed to detect or identify people in a particular area, or that agents were alerted and simply never responded. Carrying out these postmortem inquiries would be the only way to answer the question that families, researchers, and volunteers raised most frequently in our investigation into the hundreds of migrants who died near towers: Did the cameras see them, and nobody came? Or did nobody see them at all?

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How Communities Can Plan for AI Data Centers Before the Projects Arrive

The collision between AI infrastructure development and community opposition has become one of the defining data center stories of 2026. Developers are pursuing larger campuses, more power and compressed delivery schedules as AI accelerates demand for computing capacity. Meanwhile, local planning boards, elected officials and residents are increasingly being asked to make decisions about facilities whose scale, energy requirements and technological purpose may be unlike anything previously contemplated in their comprehensive plans. That gap is where Ilissa Miller believes much of the conflict begins. Miller, founder and CEO of iMiller Public Relations and a board member of the Open Infrastructure Exchange (OIX), joined the Data Center Frontier Show to discuss the OIX Digital Infrastructure Framework, an effort designed to give municipalities a more systematic way to think about data centers and other digital infrastructure before an individual development application lands in front of them. The idea is straightforward: communities routinely create long-range plans defining where homes, commercial development, industry and other land uses should go. Digital infrastructure should be part of that process as well. “Our vision for the framework was to help solve the problem by empowering communities to think about digital infrastructure,” Miller said, so municipalities can incorporate it into their comprehensive master plans and maintain control over how land is ultimately used. That distinction is key. The framework is not intended to convince communities to approve data centers. Nor does it prescribe what a town or county should decide. Instead, Miller said, it is meant to help public officials ask the right questions early enough to make those decisions deliberately. The Data Center May Not Be in the Plan One of the industry’s recurring problems is deceptively basic: many municipalities never anticipated data centers when writing their zoning codes and comprehensive plans. A parcel might already be

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QatarEnergy NFE LNG Train 1 to start 1H 2027; Ras Laffan repairs to take 3 years

QatarEnergy expects the 8-million tonne/year (tpy) first train of its 32-million tpy North Field East (NFE) LNG expansion project to begin operations in first-half 2027, Reuters reported, noting that the timing of additional trains would depend on ​the Strait of Hormuz crisis. Speaking at the Qatar Economic Forum Special Edition in New York, QatarEnergy chief executive officer (CEO) and Qatari minister of energy affairs, Saad al-Kaabi, attributed the uncertainty to delays in delivering equipment needed for the expansion caused by the Strait of Hormuz disruption. Regarding damage to Qatar’s natural gas infrastructure sustained during the Iran war and its possible return, al-Kaabi said that repairs to the two LNG trains damaged at Ras Laffan (17% of its production capacity) would take 3 years. A damaged gas-to-liquids (GTL) train is expected to return to service first-quarter 2027. Al-Kaabi expects “a few” NFE trains to start production as 2027 progresses, and output from the 16-million tpy North Field South (NFS) expansion to begin in 2028, according to Reuters. The NFE and NFS projects are part of the overall North Field expansion program that also includes the North Field West project, which together will raise Qatar’s LNG production capacity to 142 million tpy from the current 77 million tpy. Al-Kaabi also thanked Qatar’s neighbors for being willing to allow construction of a gas pipeline across their territories to bypass Hormuz, while noting that doing so would be “redundant” and made “no economic sense” in light of the already underway North Field expansion project. “As for resuming operations,” he added, “Qatar is ready to resume normal operations within a few weeks of the reopening of the Strait of Hormuz.” More generally, al-Kaabi rejected the notion that the Strait of Hormuz was obsolete, saying that it “carries trade in all products, not only oil and

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Executive Roundtable: AI Infrastructure Under Pressure

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

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ESENTIA to acquire Guadalajara-Manzanillo natural gas pipeline system

ESENTIA Energy Development SAB de CV, Mexico City, has agreed to acquire 100% of the equity interests of Energía Occidente de México S de RL de CV (EOM) from TC Energy Corp., Calgary, for a gross purchase price of $400 million. EOM owns and operates the 313-km Guadalajara-Manzanillo natural gas pipeline system, which runs from the Guadalajara area in Jalisco to Manzanillo, Colima, and is directly interconnected with ESENTIA’s Villa de Reyes-Aguascalientes-Guadalajara (VAG) pipeline system operated by Esentia Pipeline de Occidente S de RL de CV, an indirect subsidiary of ESENTIA. The pipeline transports up to 500 MMcfd of natural gas, connecting imported LNG supply near Manzanillo and continental gas supply near Guadalajara to power plants and industrial customers in Colima and Jalisco. Upon closing, the acquisition will extend ESENTIA’s pipeline network to the Port of Manzanillo on Mexico’s Pacific coast, making the company the only private operator with an integrated natural gas pipeline system connecting the Permian basin in Texas to Mexico’s Pacific coast, the company said in a release Sept. 21. The deal is part of ESENTIA’s strategy to build a cross-border transportation system and would “expand ESENTIA’s ability to serve existing and prospective customers within the combined system’s area of influence, including demand from power generation, industrial customers and potential LNG-related projects,” said Daniel Bustos, chief executive officer. ESENTIA also highlighted construction of its Aguascalientes Compression Station, which is expected to increase capacity on the VAG pipeline system beginning in early 2027. The project is part of the company’s three-phase expansion plan, which includes a total estimated investment of $680 million and an increase of 660 MMcfd in natural gas transportation capacity. For TC Energy, the transaction creates “optionality to redeploy proceeds from a mature asset towards high-value growth opportunities across our North American footprint,” said François

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Lenovo expands virtualization portfolio for AI

On the services front, Lenovo is restructuring its infrastructure deployment offerings around three defined service levels: Standard Deploy, Premier Deploy, and Premier Deploy Plus. The options are designed to allow customers to select a deployment model based on multiple factors, including project complexity, business criticality, internal IT capabilities and the amount of assistance required after deployment. All three services provide a structured readiness foundation and expert hardware installation. Premier Deploy and Premier Deploy Plus add implementation and operational handoff support, helping customers move from infrastructure delivery toward production-ready operations. Premier Deploy Plus also provides extended post-deployment assistance and a one-year infrastructure health assessment intended to help customers identify potential problems early. The health assessment excludes DE Storage Array.

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Roundtables: The Deadly Failures of The Virtual Border Wall

Available only for MIT Technology Review subscribers.
The US has spent billions building a “virtual wall” of surveillance towers along its southern border over the past 25 years, promising they will help detect and apprehend border crossers and save lives. But a groundbreaking investigation by MIT Technology Review has documented over a thousand people who moved through areas watched by these towers without being reached or apprehended, and who ultimately died there. Some were even under the watch of newly installed AI-powered towers designed to spot people automatically. Our findings reveal a humanitarian crisis more visible than previously known, and repeated failures of the virtual wall’s basic security promise. Join MIT Technology Review editors and reporters for a conversation examining the failures of border surveillance technology and uncovering the stories of the people who die in the borderlands. Speakers: Mat Honan, editor in chief, James O’Donnell, senior AI reporter, and Eileen Guo, features and investigations reporter Related Stories

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