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Google owns the most AI compute, and it built it its way
Google, for its part, will continue to be “one of the largest, if not the largest,” consumer of compute resources, said Bill Wong, research fellow at Info-Tech Research Group. “Its business model drives that global demand, specifically through the widespread use of Google search and Gemini, which it provides for ‘free,’” he pointed out. However, that same level of traction for enterprise customers is unlikely, as both Microsoft Azure and Amazon AWS have stronger footprints in enterprise. AI infrastructure is also being influenced by the emerging trend toward sovereign AI, where the preferred AI stack is more locally controlled or on-premises, Wong pointed out. Countries like Denmark are looking to migrate both AI and non-AI workloads away from US providers, particularly Microsoft and Google. But let’s see what inferencing brings It’s also important to note that these numbers largely reflect infrastructure buildouts targeted at large-scale training, a realm that Nvidia has dominated with its chips and its CUDA parallel computing platform. But market share will likely shift as inference begins to mature, Kimball predicted. Providers like AMD and Cerebras will begin to gain because they are “equally impressive,” and have different price and performance profiles, he said. The rankings also don’t account for some custom accelerators, including AWS’ Trainium, Microsoft’s Maia, and Meta’s MTIA. Cloud providers will likely deploy their own silicon “whenever and wherever possible,” because there will be considerable price and performance advantages, Kimball pointed out.

Cisco to acquire Galileo for AI observability
“We have this opportunity to be a trust layer, not just for … network activity, but actually what’s happening at the application layer, at the workload layer, between agents, between workloads, between data,” Peter Bailey, senior vice president and general manager of Cisco’s security business, told Network World last month. “Cisco has long offered that trust layer, having trust anchors and trust boundaries and other technologies, so we’re really extending that into the world of agents and workloads.” For its part, Galileo recently said it would contribute its Agent Control framework to the open-source community. Agent Control is a control plane that establishes a new standard for governing agent behavior. It was released under the Apache 2.0 license. The democratization of AI brings new complexities, Hathi stated. “The behavior of agentic applications can lead to unexpected, inaccurate, low quality, or harmful outputs. These issues can ultimately lead to decreased customer trust, poor end-user experiences, and increased costs,” he wrote. “As a result, teams need visibility across the AI stack beyond signals like latency and errors. Observability must evaluate issues like hallucinations and bias, security metrics to detect, mitigate business risks, and track cost and usage metrics to ensure clear ROI.” “Galileo will help us do just this, expanding Cisco’s deep bench of AI engineering talent to set the standard for AI agent evaluation,” Hathi wrote. The acquisition is expected to close in the fourth quarter of Cisco’s 2026 fiscal year.

Energy Department Continues Initiating Strategic Petroleum Reserve Emergency Exchanges
WASHINGTON — The U.S. Department of Energy (DOE) today issued a Request for Proposal (RFP) for an emergency exchange of up to 30 million barrels of sweet crude oil from the Strategic Petroleum Reserve (SPR). This action continues DOE’s execution of the 172-million-barrel release President Trump authorized as part of a coordinated release of 400 million barrels from IEA member nations’ strategic reserves. The Department will continue issuing RFPs to deliver on President Trump’s commitment to the coordinated release, addressing global supply disruptions and strengthening energy security for the United States and its allies. The crude oil will originate from the SPR’s West Hackberry site. This action builds on the Department’s two previous Emergency Exchange RFPs, which together quickly moved to award approximately 55 million barrels from the Bayou Choctaw, Bryan Mound, and West Hackberry SPR sites. These earlier exchanges demonstrated the SPR’s ability to rapidly deliver crude oil to the market under emergency authorities. Today’s announcement of the 30-million-barrel exchange leverages the full capabilities of the SPR, alongside the President’s limited Jones Act waiver, to accelerate critical near-term oil flows into the market and strengthen supply resilience. “Today’s action strengthens efforts to move oil quickly to market and address short-term supply pressures,” said Kyle Haustveit, Assistant Secretary of the Hydrocarbons and Geothermal Energy Office. “With two earlier exchanges, we are building on proven momentum. Thanks to President Trump, we are managing the SPR responsibly, returning premium barrels later to bolster long-term readiness at no cost to taxpayers.” Under DOE’s exchange authority, participating companies will return the borrowed 30-million-barrels with additional premium barrels by next year. This exchange delivers immediate crude to refiners and the market while generating additional barrels for the American people at no cost to taxpayers. Bids for this solicitation are due no later than 11:00 A.M. Central Time on Monday, April 13, 2026. For more information on the SPR, please visit DOE’s website.

DOE’s Office of Energy Dominance Financing Announces Conditional Commitment for a Domestic Medical Isotope Manufacturing Facility
WASHINGTON—The U.S. Department of Energy’s (DOE) Office of Energy Dominance Financing (EDF) issued a conditional commitment for a loan of up to $263 million to SHINE Chrysalis, LLC (SHINE) to support the construction of Chrysalis, a high-volume medical isotope production facility in Janesville, Wisconsin. The production facility will create a supply of reliable and secure medical isotopes made with fusion and fission technology. Millions of patients rely on medical isotopes for life-saving diagnostic imaging and cancer treatments, but most of that supply comes from overseas with limited capacity to meet demand. Utilizing fusion and fission technology, the facility will establish the only domestic commercial supply of molybdenum-99 (Mo-99). Mo-99 is a life-saving medical isotope essential for diagnostic imaging; its decay product of technetium-99m (Tc-99m) is used in over 40,000 medical procedures in the United States each day. “The SHINE Chrysalis project is vital to improving the nuclear supply chain and contributing to a strong next-generation nuclear workforce while onshoring this critical production and improving national security,” EDF Director Gregory A. Beard said. “Using EDF’s loan authority to further commercialize a project long supported by DOE is Trump’s policy at work: ensuring a reliable and secure domestic supply chain while lowering costs.” Thanks to President Trump and the Working Families Tax Cut, today’s announcement highlights the Energy Department’s role in advancing President Trump’s Executive Order, Reinvigorating the Nuclear Industrial Base, by maximizing the use of uranium through an innovative recycling process. This project will support hundreds of construction and operation jobs, contributing to a strong next-generation American nuclear workforce. SHINE has developed and demonstrated its technology through significant support from the National Nuclear Security Administration (NNSA) over the last 16 years. With NNSA funding, the National Laboratories also played a key role in developing SHINE’s technology. “SHINE is the key to

Neoclouds gain momentum in a supply-constrained world
And since they used the same hardware, both neoclouds and traditional cloud providers are subject to the same shortage problem. Component suppliers are reporting significant shortages due to demand for AI data centers and Synergy sees neoclouds also experiencing delays just like traditional cloud providers. “Demand is currently outstripping supply,” said Dinsmore. “It will take a while before that starts to come into more balance.” Among neoclouds, CoreWeave stands out as the most direct challenger to traditional hyperscale cloud providers. Meanwhile, OpenAI and Anthropic represent a distinct but increasingly important category, and that is platform-centric providers offering cloud-like access to foundational models and AI development environments. Synergy says that as demand for AI infrastructure accelerates, neoclouds are positioning themselves as focused alternatives to traditional hyperscale providers such as Amazon, Microsoft and Google.

What is AI networking? How it adds intelligence to your infrastructure
The end goal is to make networks more reliable, efficient and performant. Enterprises are already seeing notable results when AI is applied to IT operations, including shorter deployment times, a decrease in trouble tickets, and faster time to resolution. With the help of AI, networks will become more autonomous and self-healing (that is, able to address issues without the need for human intervention). In fact, Tier 1 and Tier 2 infrastructure is moving toward ‘no human in the loop,’ Nick Lippis, co-founder and co-chair of enterprise user community ONUG, recently told Network World. In time, humans will only need to step in for policy exceptions and high-risk decisions. “Layering in AI capabilities makes LAN management applications easier to use and more accessible across an organization,” Dell’Oro Group analyst Sian Morgan said. Gartner predicts that, by 2030, AI agents will drive most network activities, up from “minimal adoption” in 2025. The firm emphasizes that leaders who overlook the AI networking shift “risk higher MTTR [meantime to repair], rising costs, and growing security exposure.” The core components of AI networking It’s important to note that the use of AI and machine learning (ML) in network management is not new. AI for IT operations (AIOps), for instance, is a common practice that uses automation to improve broader IT operations. AI networking is specific to the network itself, covering domains including multi-cloud software, wired and wireless LAN, data center switching, SD-WAN and managed network services (MNS). The incorporation of generative AI, in particular, has brought AI networking to the fore, as enterprise leaders are rethinking every single aspect of their business, networking included.

Google owns the most AI compute, and it built it its way
Google, for its part, will continue to be “one of the largest, if not the largest,” consumer of compute resources, said Bill Wong, research fellow at Info-Tech Research Group. “Its business model drives that global demand, specifically through the widespread use of Google search and Gemini, which it provides for ‘free,’” he pointed out. However, that same level of traction for enterprise customers is unlikely, as both Microsoft Azure and Amazon AWS have stronger footprints in enterprise. AI infrastructure is also being influenced by the emerging trend toward sovereign AI, where the preferred AI stack is more locally controlled or on-premises, Wong pointed out. Countries like Denmark are looking to migrate both AI and non-AI workloads away from US providers, particularly Microsoft and Google. But let’s see what inferencing brings It’s also important to note that these numbers largely reflect infrastructure buildouts targeted at large-scale training, a realm that Nvidia has dominated with its chips and its CUDA parallel computing platform. But market share will likely shift as inference begins to mature, Kimball predicted. Providers like AMD and Cerebras will begin to gain because they are “equally impressive,” and have different price and performance profiles, he said. The rankings also don’t account for some custom accelerators, including AWS’ Trainium, Microsoft’s Maia, and Meta’s MTIA. Cloud providers will likely deploy their own silicon “whenever and wherever possible,” because there will be considerable price and performance advantages, Kimball pointed out.

Cisco to acquire Galileo for AI observability
“We have this opportunity to be a trust layer, not just for … network activity, but actually what’s happening at the application layer, at the workload layer, between agents, between workloads, between data,” Peter Bailey, senior vice president and general manager of Cisco’s security business, told Network World last month. “Cisco has long offered that trust layer, having trust anchors and trust boundaries and other technologies, so we’re really extending that into the world of agents and workloads.” For its part, Galileo recently said it would contribute its Agent Control framework to the open-source community. Agent Control is a control plane that establishes a new standard for governing agent behavior. It was released under the Apache 2.0 license. The democratization of AI brings new complexities, Hathi stated. “The behavior of agentic applications can lead to unexpected, inaccurate, low quality, or harmful outputs. These issues can ultimately lead to decreased customer trust, poor end-user experiences, and increased costs,” he wrote. “As a result, teams need visibility across the AI stack beyond signals like latency and errors. Observability must evaluate issues like hallucinations and bias, security metrics to detect, mitigate business risks, and track cost and usage metrics to ensure clear ROI.” “Galileo will help us do just this, expanding Cisco’s deep bench of AI engineering talent to set the standard for AI agent evaluation,” Hathi wrote. The acquisition is expected to close in the fourth quarter of Cisco’s 2026 fiscal year.

Energy Department Continues Initiating Strategic Petroleum Reserve Emergency Exchanges
WASHINGTON — The U.S. Department of Energy (DOE) today issued a Request for Proposal (RFP) for an emergency exchange of up to 30 million barrels of sweet crude oil from the Strategic Petroleum Reserve (SPR). This action continues DOE’s execution of the 172-million-barrel release President Trump authorized as part of a coordinated release of 400 million barrels from IEA member nations’ strategic reserves. The Department will continue issuing RFPs to deliver on President Trump’s commitment to the coordinated release, addressing global supply disruptions and strengthening energy security for the United States and its allies. The crude oil will originate from the SPR’s West Hackberry site. This action builds on the Department’s two previous Emergency Exchange RFPs, which together quickly moved to award approximately 55 million barrels from the Bayou Choctaw, Bryan Mound, and West Hackberry SPR sites. These earlier exchanges demonstrated the SPR’s ability to rapidly deliver crude oil to the market under emergency authorities. Today’s announcement of the 30-million-barrel exchange leverages the full capabilities of the SPR, alongside the President’s limited Jones Act waiver, to accelerate critical near-term oil flows into the market and strengthen supply resilience. “Today’s action strengthens efforts to move oil quickly to market and address short-term supply pressures,” said Kyle Haustveit, Assistant Secretary of the Hydrocarbons and Geothermal Energy Office. “With two earlier exchanges, we are building on proven momentum. Thanks to President Trump, we are managing the SPR responsibly, returning premium barrels later to bolster long-term readiness at no cost to taxpayers.” Under DOE’s exchange authority, participating companies will return the borrowed 30-million-barrels with additional premium barrels by next year. This exchange delivers immediate crude to refiners and the market while generating additional barrels for the American people at no cost to taxpayers. Bids for this solicitation are due no later than 11:00 A.M. Central Time on Monday, April 13, 2026. For more information on the SPR, please visit DOE’s website.

DOE’s Office of Energy Dominance Financing Announces Conditional Commitment for a Domestic Medical Isotope Manufacturing Facility
WASHINGTON—The U.S. Department of Energy’s (DOE) Office of Energy Dominance Financing (EDF) issued a conditional commitment for a loan of up to $263 million to SHINE Chrysalis, LLC (SHINE) to support the construction of Chrysalis, a high-volume medical isotope production facility in Janesville, Wisconsin. The production facility will create a supply of reliable and secure medical isotopes made with fusion and fission technology. Millions of patients rely on medical isotopes for life-saving diagnostic imaging and cancer treatments, but most of that supply comes from overseas with limited capacity to meet demand. Utilizing fusion and fission technology, the facility will establish the only domestic commercial supply of molybdenum-99 (Mo-99). Mo-99 is a life-saving medical isotope essential for diagnostic imaging; its decay product of technetium-99m (Tc-99m) is used in over 40,000 medical procedures in the United States each day. “The SHINE Chrysalis project is vital to improving the nuclear supply chain and contributing to a strong next-generation nuclear workforce while onshoring this critical production and improving national security,” EDF Director Gregory A. Beard said. “Using EDF’s loan authority to further commercialize a project long supported by DOE is Trump’s policy at work: ensuring a reliable and secure domestic supply chain while lowering costs.” Thanks to President Trump and the Working Families Tax Cut, today’s announcement highlights the Energy Department’s role in advancing President Trump’s Executive Order, Reinvigorating the Nuclear Industrial Base, by maximizing the use of uranium through an innovative recycling process. This project will support hundreds of construction and operation jobs, contributing to a strong next-generation American nuclear workforce. SHINE has developed and demonstrated its technology through significant support from the National Nuclear Security Administration (NNSA) over the last 16 years. With NNSA funding, the National Laboratories also played a key role in developing SHINE’s technology. “SHINE is the key to

Neoclouds gain momentum in a supply-constrained world
And since they used the same hardware, both neoclouds and traditional cloud providers are subject to the same shortage problem. Component suppliers are reporting significant shortages due to demand for AI data centers and Synergy sees neoclouds also experiencing delays just like traditional cloud providers. “Demand is currently outstripping supply,” said Dinsmore. “It will take a while before that starts to come into more balance.” Among neoclouds, CoreWeave stands out as the most direct challenger to traditional hyperscale cloud providers. Meanwhile, OpenAI and Anthropic represent a distinct but increasingly important category, and that is platform-centric providers offering cloud-like access to foundational models and AI development environments. Synergy says that as demand for AI infrastructure accelerates, neoclouds are positioning themselves as focused alternatives to traditional hyperscale providers such as Amazon, Microsoft and Google.

What is AI networking? How it adds intelligence to your infrastructure
The end goal is to make networks more reliable, efficient and performant. Enterprises are already seeing notable results when AI is applied to IT operations, including shorter deployment times, a decrease in trouble tickets, and faster time to resolution. With the help of AI, networks will become more autonomous and self-healing (that is, able to address issues without the need for human intervention). In fact, Tier 1 and Tier 2 infrastructure is moving toward ‘no human in the loop,’ Nick Lippis, co-founder and co-chair of enterprise user community ONUG, recently told Network World. In time, humans will only need to step in for policy exceptions and high-risk decisions. “Layering in AI capabilities makes LAN management applications easier to use and more accessible across an organization,” Dell’Oro Group analyst Sian Morgan said. Gartner predicts that, by 2030, AI agents will drive most network activities, up from “minimal adoption” in 2025. The firm emphasizes that leaders who overlook the AI networking shift “risk higher MTTR [meantime to repair], rising costs, and growing security exposure.” The core components of AI networking It’s important to note that the use of AI and machine learning (ML) in network management is not new. AI for IT operations (AIOps), for instance, is a common practice that uses automation to improve broader IT operations. AI networking is specific to the network itself, covering domains including multi-cloud software, wired and wireless LAN, data center switching, SD-WAN and managed network services (MNS). The incorporation of generative AI, in particular, has brought AI networking to the fore, as enterprise leaders are rethinking every single aspect of their business, networking included.

Energy Department Continues Initiating Strategic Petroleum Reserve Emergency Exchanges
WASHINGTON — The U.S. Department of Energy (DOE) today issued a Request for Proposal (RFP) for an emergency exchange of up to 30 million barrels of sweet crude oil from the Strategic Petroleum Reserve (SPR). This action continues DOE’s execution of the 172-million-barrel release President Trump authorized as part of a coordinated release of 400 million barrels from IEA member nations’ strategic reserves. The Department will continue issuing RFPs to deliver on President Trump’s commitment to the coordinated release, addressing global supply disruptions and strengthening energy security for the United States and its allies. The crude oil will originate from the SPR’s West Hackberry site. This action builds on the Department’s two previous Emergency Exchange RFPs, which together quickly moved to award approximately 55 million barrels from the Bayou Choctaw, Bryan Mound, and West Hackberry SPR sites. These earlier exchanges demonstrated the SPR’s ability to rapidly deliver crude oil to the market under emergency authorities. Today’s announcement of the 30-million-barrel exchange leverages the full capabilities of the SPR, alongside the President’s limited Jones Act waiver, to accelerate critical near-term oil flows into the market and strengthen supply resilience. “Today’s action strengthens efforts to move oil quickly to market and address short-term supply pressures,” said Kyle Haustveit, Assistant Secretary of the Hydrocarbons and Geothermal Energy Office. “With two earlier exchanges, we are building on proven momentum. Thanks to President Trump, we are managing the SPR responsibly, returning premium barrels later to bolster long-term readiness at no cost to taxpayers.” Under DOE’s exchange authority, participating companies will return the borrowed 30-million-barrels with additional premium barrels by next year. This exchange delivers immediate crude to refiners and the market while generating additional barrels for the American people at no cost to taxpayers. Bids for this solicitation are due no later than 11:00 A.M. Central Time on Monday, April 13, 2026. For more information on the SPR, please visit DOE’s website.

DOE’s Office of Energy Dominance Financing Announces Conditional Commitment for a Domestic Medical Isotope Manufacturing Facility
WASHINGTON—The U.S. Department of Energy’s (DOE) Office of Energy Dominance Financing (EDF) issued a conditional commitment for a loan of up to $263 million to SHINE Chrysalis, LLC (SHINE) to support the construction of Chrysalis, a high-volume medical isotope production facility in Janesville, Wisconsin. The production facility will create a supply of reliable and secure medical isotopes made with fusion and fission technology. Millions of patients rely on medical isotopes for life-saving diagnostic imaging and cancer treatments, but most of that supply comes from overseas with limited capacity to meet demand. Utilizing fusion and fission technology, the facility will establish the only domestic commercial supply of molybdenum-99 (Mo-99). Mo-99 is a life-saving medical isotope essential for diagnostic imaging; its decay product of technetium-99m (Tc-99m) is used in over 40,000 medical procedures in the United States each day. “The SHINE Chrysalis project is vital to improving the nuclear supply chain and contributing to a strong next-generation nuclear workforce while onshoring this critical production and improving national security,” EDF Director Gregory A. Beard said. “Using EDF’s loan authority to further commercialize a project long supported by DOE is Trump’s policy at work: ensuring a reliable and secure domestic supply chain while lowering costs.” Thanks to President Trump and the Working Families Tax Cut, today’s announcement highlights the Energy Department’s role in advancing President Trump’s Executive Order, Reinvigorating the Nuclear Industrial Base, by maximizing the use of uranium through an innovative recycling process. This project will support hundreds of construction and operation jobs, contributing to a strong next-generation American nuclear workforce. SHINE has developed and demonstrated its technology through significant support from the National Nuclear Security Administration (NNSA) over the last 16 years. With NNSA funding, the National Laboratories also played a key role in developing SHINE’s technology. “SHINE is the key to

United States and Australia meet for Mining, Minerals and Metals Investment Ministerial
We, the Australian Minister for Resources and Northern Australia, the Hon Madeleine King MP, and Secretaries and senior representatives from the United States, including Secretary of Interior Doug Burgum, Administrator of the U.S. Environmental Protection Agency Lee Zeldin, Chairman of the U.S. Export Import Bank John Jovanovic, and Assistant Secretary of Energy Audrey Robertson, held our inaugural Mining, Minerals, and Metals Investment Ministerial in Tokyo on 14 March 2026, to advance cooperation under the landmark bilateral agreement, the United States–Australia Framework for Securing Supply in the Mining and Processing of Critical Minerals and Rare Earths (the Framework). Under the Framework, Australia and the United States are delivering concrete outcomes to strengthen, secure, and diversify critical minerals and rare earth supply chains. Within six months of agreement of the Framework, we have each taken measures to provide at least USD $1 billion in financing to key critical minerals projects. By mobilising government and private sector capital, these investments support the development of our shared industrial base and strengthen longer term supply for defence, manufacturing, and energy supply chains. To build resilience, enhance stability, and bolster economic security in support of our shared critical minerals interests, Australia and the United States today announce the establishment of the Critical Minerals Supply Security Response Group and commit to deeper cooperation between our key agencies. In line with the Framework, the Critical Minerals Supply Security Response Group, led by senior representatives from the United States Department of Energy and the Australian Department of Industry, Science and Resources, will cooperate on priority minerals and supply chain vulnerabilities and coordinate efforts to accelerate the delivery of processed minerals under the Framework. Australia and the United States also commit to leveraging shared policy and interagency regulatory tools and, where appropriate, investments to secure critical minerals supply, including through cooperation between Australia’s

Energy Security for Indo-Pacific Endurance, a Global Growth Center of the 21st Century
We, the ministers and representatives of Australia, Bangladesh, Brunei, Japan, Malaysia, New Zealand, Philippines, Republic of Korea, Singapore, Timor-Leste, United States, and Vietnam met in Tokyo, Japan, on March 14–15, 2026, to hold the historic Indo-Pacific Energy Security Ministerial and Business Forum. The forum was co-hosted by the Chair and Vice Chair of the U.S. National Energy Dominance Council, Secretary of the Interior Doug Burgum, Secretary of Energy Chris Wright, and Japanese Minister of Economy, Trade and Industry Akazawa Ryosei. We affirm our shared determination to work collectively to ensure stable and secure energy supply in the Indo-Pacific region. To this end, we focused on three key themes: reliable energy for Indo-Pacific growth and security; securing energy supply chains, infrastructure and maritime routes; and enabling trade and investment. To support these goals, Ministers affirm the value of: The necessity of reliable, affordable, secure and dispatchable energy from all sources depending on each country’s situation, in meeting the region’s surging energy demand. Promoting quality as a key procurement mechanism to mitigate risk of operational liabilities. Protecting against rising cyber threats to the security of the energy grid, critical infrastructure, vehicles, and devices. Investment in comprehensive energy infrastructure that encompasses the entire energy supply chain from upstream development facilities to downstream equipment to support an affordable, reliable, and secure energy supply including baseload electricity. Continuing to supply affordable and reliable energy sources in the Indo-Pacific region, including through emergency response measures, to benefit both producers and consumer countries. While maintaining strong relations with current partners, expanding and diversifying energy suppliers and fuel types in order to strengthen energy security. Promoting transparent, long-term energy contracts that reduce market volatility. As the global economy expands, so too does demand for energy driven by AI and electrification, we, as countries committed to a free and

Energy Department Issues Funding Opportunity to Strengthen American Critical Minerals and Materials Supply Chain
WASHINGTON—The U.S. Department of Energy’s (DOE) Office of Critical Minerals and Energy Innovation (CMEI) and Hydrocarbons and Geothermal Energy Office (HGEO) today announced a funding opportunity of up to $69 million for technologies or processes that advance the domestic production and refining of critical materials. Projects selected through this Notice of Funding Opportunity (NOFO) will address the greatest technical obstacles to a stronger critical materials supply chain. “This funding will help establish a more secure and affordable supply of the critical minerals and materials that are foundational to American energy dominance, national security, and industrial competitiveness,” said Assistant Secretary of Energy (EERE) Audrey Robertson. DOE is seeking projects that bridge the gap between bench-scale innovations and commercially viable technologies. Selected project teams will form industry-led partnerships and conduct research and development with support from the U.S. national laboratories. The NOFO, which is part of DOE’s Critical Minerals and Materials Accelerator Program and jointly funded by CMEI’s Advanced Materials and Manufacturing Technologies Office and HGEO’s Office of Geothermal, has three primary topic areas: Production and material efficiency for critical materials including rare earth elements Processes to refine and alloy gallium, gallium nitride, germanium, and silicon carbide Cost-competitive direct lithium extraction, separation, and processing CMEI will host an informational webinar on April 16, 2026, to discuss the NOFO and application requirements. Letters of intent are due on April 21, 2026, by 5 p.m. ET. Deadlines for full applications will be staggered based on topic area, starting in May 2026. For more details on sub-topics and deadlines, visit the NOFO landing page. The Critical Minerals and Materials Accelerator is one of several programs developed through DOE’s Critical Materials Collaborative. This NOFO is part of $1 billion in critical materials funding announced by DOE in August 2025, and follows the Manufacturing Deployment Office’s announcement

Latin America returns to the energy security conversation at CERAWeek
With geopolitical risk central to conversations about energy, and with long-cycle supply once again in focus, Latin America’s mix of hydrocarbons and export potential drew renewed attention at CERAWeek by S&P Global in Houston. Argentina, resource story to export platform Among the regional stories, Argentina stood out as Vaca Muerta was no longer discussed simply as a large unconventional resource, but whether the country could turn resource quality into sustained export capacity. Country officials talked about scale: more operators, more services, more infrastructure, and a larger industrial base around the unconventional play. Daniel González, Vice Minister of Energy and Mining for Argentina, put it plainly: “The time has come to expand the Vaca Muerta ecosystem.” What is at stake now is not whether the basin works, but whether the country can build enough above-ground capacity and regulatory consistency to keep development moving. Horacio Marín, chairman and chief executive officer of YPF, offered an expansive version of that argument. He said Argentina’s energy exports could reach $50 billion/year by 2031, backed by roughly $130 billion in cumulative investment in oil, LNG, and transportation infrastructure. He said Argentine crude output could reach 1 million b/d by end-2026. He said Argentina wants to be seen less as a recurrent frontier story and more as a future supplier with scale. “The time to invest in Vaca Muerta is now,” Marín said. The LNG piece is starting to take shape. Eni, YPF, and XRG signed a joint development agreement in February to move Argentina LNG forward, with a first phase planned at 12 million tonnes/year. Southern Energy—backed by PAE, YPF, Pampa Energía, Harbour Energy, and Golar LNG—holds a long-term agreement with SEFE for 2 million tonnes/year over 8 years. The movement by global standards is early-stage and relatively modest, but it adds to Argentina’s export

Microsoft will invest $80B in AI data centers in fiscal 2025
And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs). In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

John Deere unveils more autonomous farm machines to address skill labor shortage
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

2025 playbook for enterprise AI success, from agents to evals
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

OpenAI’s red teaming innovations define new essentials for security leaders in the AI era
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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

The Download: AstroTurf wars and exponential AI growth
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. Is fake grass a bad idea? The AstroTurf wars are far from over. In 2001, Americans installed just over 7 million square meters of synthetic turf. By 2024, that number was 79 million square meters—enough to carpet all of Manhattan and then some. The increase worries folks who study microplastics and environmental pollution. While the plastic-making industry insists that synthetic fields are safe if properly installed, lots of researchers think that isn’t so. Find out why AstroTurf has ignited heated debates. —Douglas Main
This story is from the next issue of our print magazine, packed with stories all about nature. Subscribe now to read the full thing when it lands on Wednesday, April 22. Mustafa Suleyman: AI development won’t hit a development wall anytime soon—here’s why —Mustafa Suleyman, Microsoft AI CEO and Google DeepMind co-founder
The skeptics keep predicting that AI compute will soon hit a wall—and keep getting proven wrong. To understand why that is, you need to look at the forces driving the AI explosion. Three advances are enabling exponential progress: faster basic calculators, high-bandwidth memory, and technologies that turn disparate GPUs into enormous supercomputers. Where does all this get us? Read the full op-ed on the future of AI development to learn more. Desalination technology, by the numbers —Casey Crownhart When I started digging into desalination technology for a new story, I couldn’t help but obsess over the numbers. I knew on some level that desalination—pulling salt out of seawater to produce fresh water—was an increasingly important technology, especially in water-stressed regions including the Middle East. But just how much some countries rely on desalination, and how big a business it is, still surprised me.Here are the extraordinary numbers behind the crucial water source. This story is from The Spark, our weekly newsletter on the tech that could combat the climate crisis. Sign up to receive it in your inbox every Wednesday. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Meta has launched the first AI model from its Superintelligence LabsMuse Spark is the company’s first model in a year. (Reuters $) + The closed model brings reasoning capabilities to the Meta AI app. (Engadget) + It’s built by Meta’s Superintelligence Labs, the unit led by Alexandr Wang. (TechCrunch) 2 Anthropic has lost a bid to pause the Pentagon’s blacklisting An appeals court in Washington, DC denied the request. (CNBC) + A California judge had temporarily blocked the blacklisting in March. (NPR) + The mixed rulings leave Anthropic in a legal limbo. (Wired $) + And open doors for smaller AI rivals. (Reuters $) 3 New evidence suggests Adam Back invented Bitcoin The British cryptographer may be the real Satoshi Nakamoto. (NYT $) + Back denies the claims. (BBC) + There’s a dark side to crypto’s permissionless dream. (MIT Technology Review) 4 Gen Z is cooling on AI The share feeling angry about it has risen from 22% to 31% in a year. (Axios) + Anti-AI protests are also growing. (MIT Technology Review) 5 War in the Gulf could tilt the cloud race toward China Huawei is pitching “multi-cloud” resilience to Gulf clients. (Rest of World) 6 Meta has killed a leaderboard of its AI token users It showed the top 250 users. (The Information $) + Meta blamed data leaks for the shutdown. (Fortune) + It encouraged “tokenmaxxing,” a growing phenomenon in Big Tech. (NYT $) 7 Did Artemis II really tell us anything new about space? Or was it primarily a PR exercise? (Ars Technica) 8 Israeli attacks have brutally exposed Lebanon’s digital infrastructure It’s managing a modern crisis without modern technology. (Wired $)
9 AI models could offer mathematicians a common language They hope it will simplify the process of verifying proofs. (Economist) 10 A “self-doxing’ rave is helping trans people stay safe online It’s among a series of digital self-defenses. (404 Media)
Quote of the day “I feel like anything that I’m interested in has the potential of maybe getting replaced, even in the next few years.” —Sydney Gill, a freshman at Rice University, tells the New York Times why she’s soured on AI. One More Thing A view inside ATLAS,one of two general-purpose detectors at the Large Hadron Collider.MAXIMILIEN BRICE/CERN Inside the hunt for new physics at the world’s largest particle collider In 2012, data from CERN’s Large Hadron Collider (LHC) unearthed a particle called the Higgs boson. The discovery answered a nagging question: where do fundamental particles, such as the ones that make up all the protons and neutrons in our bodies, get their mass? But now particle physicists have reached an impasse in their quest to discover, produce, and study new particles at colliders. Find out what they’re trying to do about it. —Dan Garisto
We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.) + Enjoy this tale of the “joke” sound that accidentally defined 90s rave culture. + Take a nostalgic trip through the websites of the early 00s. + One for animal lovers: sperm whales have teamed up to support a newborn. + Here’s a long overdue answer to a vital question: can the world’s largest mousetrap catch a limousine?

Is fake grass a bad idea? The AstroTurf wars are far from over.
A rare warm spell in January melted enough snow to uncover Cornell University’s newest athletic field, built for field hockey. Months before, it was a meadow teeming with birds and bugs; now it’s more than an acre of synthetic turf roughly the color of the felt on a pool table, almost digital in its saturation. The day I walked up the hill from a nearby creek to take a look, the metal fence around the field was locked, but someone had left a hallway-size piece of the new simulated grass outside the perimeter. It was bristly and tough, but springy and squeaky under my booted feet. I could imagine running around on it, but it would definitely take some getting used to. My companion on this walk seemed even less favorably disposed to the thought. Yayoi Koizumi, a local environmental advocate, has been fighting synthetic-turf projects at Cornell since 2023. A petite woman dressed that day in a faded plum coat over a teal vest, with a scarf the colors of salmon, slate, and sunflowers, Koizumi compulsively picked up plastic trash as we walked: a red Solo cup, a polyethylene Dunkin’ container, a five-foot vinyl panel. She couldn’t bear to leave this stuff behind to fragment into microplastic bits—as she believes the new field will. “They’ve covered the living ground in plastic,” she said. “It’s really maddening.” The new pitch is one part of a $70 million plan to build more recreational space at the university. As of this spring, Cornell plans to install something like a quarter million square feet of synthetic grass—what people have colloquially called “astroturf” since the middle of the last century. University PR says it will be an important part of a “health-promoting campus” that is “supportive of holistic individual, social, and ecological well-being.” Koizumi runs an anti-plastic environmental group called Zero Waste Ithaca, which says that’s mostly nonsense. This fight is more than just the usual town-versus-gown tension. Synthetic turf used to be the stuff of professional sports arenas and maybe a suburban yard or two; today communities across the United States are debating whether to lay it down on playgrounds, parks, and dog runs. Proponents say it’s cheaper and hardier than grass, requiring less water, fertilizer, and maintenance—and that it offers a uniform surface for more hours and more days of the year than grass fields, a competitive advantage for athletes and schools hoping for a more robust athletic program.
But while new generations of synthetic turf look and feel better than that mid-century stuff, it’s still just plastic. Some evidence suggests it sheds bits that endanger users and the environment, and that it contains PFAS “forever chemicals”—per- and polyfluoroalkyl substances, which are linked to a host of health issues. The padding within the plastic grass is usually made from shredded tires, which might also pose health risks. And plastic fields need to be replaced about once a decade, creating lots of waste. Yet people are buying a lot of the stuff. In 2001, Americans installed just over 7 million square meters of synthetic turf, just shy of 11,000 metric tons. By 2024, that number was 79 million square meters—enough to carpet all of Manhattan and then some, almost 120,000 metric tons. Synthetic turf covers 20,000 athletic fields and tens of thousands of parks, playgrounds, and backyards. And the US is just 20% of the global market.
Where real estate is limited and demand for athletic facilities is high, artificial turf is tempting. “It all comes down to land and demand.” Frank Rossi, professor of turf science, Cornell Those increases worry folks who study microplastics and environmental pollution. Any actual risk is hard to parse; the plastic-making industry insists that synthetic fields are safe if properly installed, but lots of researchers think that isn’t so. “They’re very expensive, they contain toxic chemicals, and they put kids at unnecessary risk,” says Philip Landrigan, a Boston College epidemiologist who has studied environmental toxins like lead and microplastics. But at Cornell, where real estate is limited and demand for athletic facilities is high, synthetic turf was a tempting option. As Frank Rossi, a professor of turf science at Cornell, told me: “It all comes down to land and demand.” In 1965, Houston’s new, domed baseball stadium was an icon of space-age design. But the Astrodome had a problem: the sun. Deep in the heart of Texas, it shined brightly through the Astrodome’s skylights—so much so that players kept missing fly balls. So the club painted over the skylights. Denied sunlight, the grass in the outfield withered and died. A replacement was already in the works. In the late 1950s a Ford Foundation–funded educational laboratory determined that a soft, grasslike surface material would give city kids more places to play outside and had prevailed upon the Monsanto corporation to invent one. The result was clipped blades of nylon stuck to a rubber base, which the company called ChemGrass. Down it went into Houston’s outfield, where it got a new, buzzier name: AstroTurf. Workers lay artificial turf at the Astrodome in Houston on July 13, 1966. Developed by Monsanto, the material was originally known as ChemGrass but was later renamed AstroTurf after the stadium.AP PHOTO/ED KOLENOVSKY, FILE That first generation of simulated lawn was brittle and hard, but quality has improved. Today, there are a few competing products, but they’re all made by extruding a petroleum-based polymer—that’s plastic—through tiny holes and then stitching or fusing the resulting fibers to a carpetlike bottom. That gets attached to some kind of padding, also plastic. In the 1970s the industry started layering that over infill, usually sand; by the 1990s, “third generation” synthetic turf had switched to softer fibers made of polyethylene. Beneath that, they added infill that combined sand and a soft, cheap shredded rubber made from discarded automobile tires, which pile up by the hundreds of millions every year. This “crumb rubber” provides padding and fills spaces between the blades and the backing. In the early 1980s, nearly half the professional baseball and football fields in the US had synthetic turf. But many players didn’t like it. It got hotter than real grass, gave the ball different action, and seemed to be increasing the rate of injuries among athletes. Since the 1990s, most pro sports have shifted back toward grass—water and maintenance costs pale in comparison to the importance of keeping players happy or sparing them the risk of injury. But at the same time, more universities and high schools are buying the artificial stuff. The advantages are clear, especially in places where it rains either too much or not enough. A natural-grass field is usable for a little more than 800 hours a year at the most, spread across just eight months in the cooler, wetter northern US. An artificial-turf field can see 3,000 hours of activity per year. For sports like lacrosse, which begins in late winter, this makes artificial turf more appealing. Most lacrosse pitches are now synthetic. So are almost all field hockey pitches; players like the way the even, springy turf makes the ball bounce. Furthermore, supporters say synthetic turf needs less maintenance than grass, saving money and resources. That’s not always true; workers still have to decompact the playing surface and hose it off to remove bird poop or cool it down. Sometimes the infill needs topping up. But real grass allows less playing time, and because grass athletic fields often need to be rotated to avoid damage, synthetic ground cover can require less space. Hence the market’s explosive growth in the 21st century.
The city and town of Ithaca—two separate political entities with overlapping jurisdiction over Cornell construction projects—held multiple public meetings about the university’s new synthetic fields: the field hockey pitch and a complex called the Meinig Fieldhouse. Koizumi’s group turned up in force, and a few folks who worked at Cornell came to oppose the idea too—submitting pages of citations and studies on the risks of synthetic grass. At two of those meetings, dozens of Cornell athletes turned out to support the turf. Representatives of the university and the athletic department declined to speak with me for this story, citing an ongoing lawsuit from Zero Waste Ithaca. But before that, Nicki Moore, Cornell’s director of athletics, told a local newspaper that demand from campus groups and sports teams meant the fields were constantly overcrowded. “Activities get bumped later and later, and sometimes varsity teams won’t start practicing until 10 at night, you know?” Moore told the paper. “Availability of all-weather space should normalize scheduling a great deal.” That argument wasn’t universally convincing. “It’s a bad idea, but that’s from the environmental perspective,” says Marianne Krasny, director of Cornell’s Civic Ecology Lab and one of the speakers at those hearings. “Obviously the athletic department thinks it’s a great idea.” GETTY IMAGES
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} @media (min-width: 60rem) { .flourish-embed { width: 60vw; transform: translateX(-50%); left: 50%; position: relative; } } Members of Cornell on Fire, a climate action group with members from both the university and the town, joined in opposing the use of artificial turf, citing the fossil-fuel origins of the stuff. They described the nominal support of the project from student athletes as inauthentic, representing not grassroots support but, yes, an astroturf campaign. Sorting out the actual science here isn’t simple. Over time, the plastic that synthetic turf is made of sheds bits of itself into the environment. In one study, published in 2023 in the journal Environmental Pollution, researchers found that 15% of the medium-size and microplastic particles in a river and the Mediterranean Sea outside Barcelona, Spain, came from artificial turf, mostly in the form of tiny green fibers. Back in 2020, the European Chemicals Agency estimated that infill material from artificial-turf fields in the European Union was contributing 16,000 metric tons of microplastics to the environment each year—38% of all annual microplastic pollution. Most of that came from the crumb rubber infill, which Europe now plans to ban by 2031. This pollution worries the Cornell activists. Ithaca is famous for scenic gorges and waterways. The new field hockey pitch is uphill from a local creek that empties into Cayuga Lake, the longest of the Finger Lakes and the source of drinking water for over 40,000 people. And it’s not just the plastic bits. When newer generations of synthetic turf switched to durable high-density polyethylene, the new material gunked up the extruders used in the manufacturing process. So turf makers started adding fluorinated polymers—a type of PFAS. Some of these environmentally persistent “forever chemicals” cause cancer, disrupt the endocrine system, or lead to other health problems. Research in several different labs has found PFAS in many types of plastic grass. But the key to assessing the threat here is exposure. Heather Whitehead, an analytical chemist then at the University of Notre Dame, found PFAS in synthetic turf at levels around five parts per billion—but estimated it’d be in water running off the fields at three parts per trillion; for context, the US Environmental Protection Agency’s legal drinking-water limit on one of the most widespread and dangerous PFAS chemicals is four parts per trillion. “These chemicals will wash off in small amounts for long periods of time,” says Graham Peaslee, Whitehead’s advisor and an emeritus nuclear physicist who studies PFAS concentrations. “I think it’s reason enough not to have artificial turf.”
This gets confusing, though. There are over 16,000 different types of PFAS, few have been well studied, and different companies use different manufacturing techniques. Companies represented by the Synthetic Turf Council now “use zero intentionally added PFAS,” says Melanie Taylor, the group’s president. “This means that as the field rolls off the assembly line, there are zero PFAS-formulated materials present.” Some researchers are skeptical of the industry’s assurances. They’re hard to confirm, especially because there are a lot of ways to test for PFAS. The type of synthetic turf going onto the new field hockey pitch at Cornell is called GreenFields TX; the university had a sample tested using an EPA method that looks for 40 different PFAS compounds. It came back negative for all of them. The local activists countered that the test doesn’t detect the specific types they’re most concerned about, and in 2025 they paid for three more tests on newly purchased synthetic turf. Two clearly found fluorine—the F in “PFAS”—and one identified two distinct PFAS compounds. (The company that makes GreenFields TX, TenCate, declined to comment, citing ongoing litigation.)
PFAS isn’t the only potential problem. There’s also the crumb rubber made from tires. A billion tires get thrown out every year worldwide, and if they aren’t recycled they sit in giant piles that make great habitats for rats and mosquitoes; they also occasionally catch fire. Lots of the tires that go into turf are made of styrene-butadiene rubber, or SBR. In bulk, that’s bad. Butadiene is a carcinogen that causes leukemia, and fumes from styrene can cause nervous system damage. SBR also contains high levels of lead. But how much of that comes out of synthetic-turf infill? Again, that’s hotly debated. Researchers around the world have published suggestive studies finding potentially dangerous levels of heavy metals like zinc and lead in synthetic turf, with possible health risks to people using the fields. But a review of many of the relevant studies on turf and crumb rubber from Canada’s National Collaborating Centre for Environmental Health determined that most well-conducted health risk assessments over the last decade found exposures below levels of concern for cancer and certain other diseases. A 2017 report by the European Chemicals Agency—the same people who found all those microplastics in the environment—“found no reason to advise people against playing sports on synthetic turf containing recycled rubber granules as infill material.” And a multiyear study from the EPA, published in 2024, found much the same thing—although the researchers said that levels of certain synthetic chemicals were elevated inside places that used indoor artificial turf. They also stressed that the paper was not a risk assessment. The problem is, the kinds of cancers these chemicals can cause may take decades to show up. Long-term studies haven’t been done yet. All the evidence available so far is anecdotal—like a series for the Philadelphia Inquirer that linked the deaths of six former Phillies players from a rare type of brain cancer called glioblastoma to years spent playing on PFAS-containing artificial turf. That’d be about three times the usual rate of glioblastoma among adult men, but the report comes with a lot of cautions—small sample size, lots of other potential causes, no way to establish causation. Synthetic turf has one negative that no one really disputes: It gets very hot in the sun—as hot as 150 °F (66 °C). This can actually burn players, so they often want to avoid using a field on very hot days. A field hockey player from Cornell University passes the ball during a game played on artificial turf at Bryant University in 2025. Cornell’s own turf field will be ready for the 2026 season.GETTY IMAGES Athletes playing on artificial turf also have a higher rate of foot and ankle injuries, and elite-level football players seem to be more predisposed to knee injuries on those surfaces. But other studies have found rates of knee and hip injury to be roughly comparable on artificial and natural turf—a point the landscape architect working on the Cornell project made in the information packet the university sent to the city. Athletic departments and city parks departments say that the material’s upsides make it worthwhile, given that there’s no conclusive proof of harm. Back in Ithaca, Cornell hired an environmental consulting firm called Haley & Aldrich to assess the evidence. The company concluded that none of the university’s proposed installations of artificial turf would have a negative environmental impact. People from Cornell on Fire and Zero Waste Ithaca told me they didn’t trust the firm’s findings; representatives from Haley & Aldrich declined to comment.
Longtime activists say that as global consumption of fossil fuels declines, petrochemical companies are desperate to find other markets. That means plastics. “There’s a big push to shift more petrochemicals into plastic products for an end market,” says Jeff Gearhart, a consumer product researcher at the Ecology Center. “Industry people, with a vested interest in petrochemicals, are looking to expand and build out alternative markets for this stuff.” All that and more went before the decision-makers in Ithaca. In September 2024, the City of Ithaca Planning Board unanimously issued a judgment that the Meinig Fieldhouse would not have a significant environmental impact and thus would not need to complete a full environmental impact assessment. Six months later, the town made the same determination for the field hockey pitch. Zero Waste Ithaca sued in New York’s supreme court, which ruled against the group. Koizumi and lawyers from Pace University’s Environmental Litigation Clinic have appealed. She says she’s still hopeful the court might agree that Ithaca authorities made a mistake by not requiring an environmental impact statement from the college. “We have the science on our side,” she says. Ithaca is a pretty rarefied place, an Ivy League university town. But these same tensions—potential long-term environmental and public health consequences versus the financial and maintenance concerns of the now—are pitting worried citizens against their representatives and city agencies around the country.
New York City has 286 municipal synthetic-turf fields, with more under construction. In Inwood, the northernmost neighborhood in Manhattan, two fields were approved via Zoom meetings during the pandemic, and Massimo Strino, a local artist who makes kaleidoscopes, says he found out only when he saw signs announcing the work on one of his daily walks in Inwood Hill Park, along the Hudson River. He joined a campaign against the plan, gathering more than 4,300 signatures. “I was canvassing every weekend,” Strino says. “You can count on one hand, literally, the number of people who said they were in favor.” But that doesn’t include the group that pushed for one of those fields in the first place: Uptown Soccer, which offers free and low-cost lessons and games to 1,000 kids a year, mostly from underserved immigrant families. “It was turning an unused community space into a usable space,” says David Sykes, the group’s executive director. “That trumped the sort of abstract concerns about the environmental impacts. I’m not an expert in artificial turf, but the parks department assured me that there was no risk of health effects.” Artificial turf doesn’t go away. “You’re going to be paying to get rid of it. Somebody will have to take it to a dump, where it will sit for a thousand years.” Graham Peaslee, emeritus nuclear physicist studying PFAS concentrations, University of Notre Dame New York City councilmember Christopher Marte disagrees. He has introduced a bill to ban new artificial turf from being installed in parks, and he hopes the proposal will be taken up by the Parks Committee this spring. Last session, the bill had 10 cosponsors—that’s a lot. Marte says he expects resistance from lobbyists, but there’s precedent. The city of Boston banned artificial turf in 2022. Upstate, in a Rochester suburb called Brighton, the school district included synthetic-turf baseball and softball diamonds in a wide-ranging February 2024 capital improvement proposition. The measure passed. In a public meeting in November 2025, the school board acknowledged the intent to use synthetic grass—or, as concerned parents had it, “to rip up a quarter million square feet of this open space and replace it with artificial turf,” says David Masur, executive director of the environmental group PennEnvironment, whose kids attend school in Brighton. Parents and community members mobilized against the plan, further angered when contractors also cut down a beloved 200-year-old tree. School superintendent Kevin McGowan says it’s too late to change course. Masur has been working to oppose the plan nevertheless—he says school boards are making consequential decisions about turf without sharing information or getting input, even though these fields can cost millions of dollars of taxpayer money. In short, the fights can get tense. On Martha’s Vineyard, in Massachusetts, a meeting about plans to install an artificial field at a local high school had to be ended early amid verbal abuse. A staffer for the local board of health who voiced concern about PFAS in the turf quit the board after discovering bullet casings in her tote bag, she said, which she perceived as a death threat. After an eight-year fight, the board eventually banned artificial turf altogether. What happens next? Well, outdoor artificial turf lasts only eight to 12 years before it needs to be taken up and replaced. The Synthetic Turf Council says it’s at least partially recyclable and cites a company called BestPLUS Plastic Lumber as a purveyor of products made from recycled turf. The company says one of its products, a liner called GreenBoard that artificial turf can be nailed into, is at least 40% recycled from fake grass. Joseph Sadlier, vice president and general manager of plastics recycling at BestPLUS, says the company recycles over 10 million pounds annually. Yet the material is piling up. In 2021, a Danish company called Re-Match announced plans to open a recycling plant in Pennsylvania and began amassing thousands of tons of used plastic turf in three locations. The company filed for bankruptcy in 2025. In Ithaca, university representatives told planning boards that it would be possible to recycle the old artificial turf they ripped out to make way for the Meinig Fieldhouse. That didn’t happen. An anonymous local activist tracked the old rolls to a hauling company a half-hour’s drive south of campus and shared pictures of them sitting on the lot, where they stayed for months. It’s unclear what their ultimate fate will be. That’s the real problem: Artificial turf just doesn’t go away. “You’re going to be paying to get rid of it,” says Peaslee, the PFAS expert. “Somebody will have to take it to a dump, where it will sit for a thousand years.” At minimum, real grass is a net carbon sink, even including installation and maintenance. Synthetic turf releases greenhouse gases. One life-cycle analysis of a 2.2-acre synthetic field in Toronto determined that it would emit 55 metric tons of carbon dioxide over a decade. Plastic fields need less water to maintain, but it takes water to make plastic, and natural grass lets rainwater seep into the ground. Synthetic turf sends most of it away as runoff. It’s a boggling set of issues to factor into a decision. Rossi, the Cornell turf scientist, says he can understand why a school in the northern United States might go plastic, even when it cares about its students’ health. “It was the best bad option,” he says. Concerns about microplastics and PFAS are “significant issues we have not fully addressed.” And they need to be. Douglas Main is a journalist and former senior editor and writer at National Geographic.

Desalination technology, by the numbers
When I started digging into desalination technology for a new story, I couldn’t help but obsess over the numbers. I’d known on some level that desalination—pulling salt out of seawater to produce fresh water—was an increasingly important technology, especially in water-stressed regions including the Middle East. But just how much some countries rely on desalination, and how big a business it is, still surprised me. For more on how this crucial water infrastructure is increasingly vulnerable during the war in Iran, check out my latest story. Here, though, let’s look at the state of desalination technology, by the numbers. Desalination produces 77% of all fresh water and 99% of drinking water in Qatar. Globally, we rely on desalination for just 1% of fresh-water withdrawals. But for some countries in the Middle East, and particularly for the Gulf Cooperation Council countries (Bahrain, Qatar, Kuwait, the United Arab Emirates, Saudi Arabia, and Oman), it’s crucial.
Qatar, home to over 3 million people, is one of the most staggering examples, with nearly all its drinking water supplies coming from desalination. But many major cities in the region couldn’t exist without the technology. There are no permanent rivers on the Arabian Peninsula, and supplies of fresh water are incredibly limited, so countries rely on facilities that can take in seawater and pull out the salt and other impurities. The Middle East is home to just 6% of the world’s population and over 27% of its desalination facilities. The region has historically been water-scarce, and that trend is only continuing as climate change pushes temperatures higher and changes rainfall patterns.
Of the 17,910 desalination facilities that are operational globally, 4,897 are located in the Middle East, according to a 2026 study in npj Clean Water. The technology supplies not only municipal water used by homes and businesses, but also industries including agriculture, manufacturing, and increasingly data centers. One massive desalination plant in Saudi Arabia produces over 1 million cubic meters of fresh water per day. The Ras Al-Khair water and power plant in Eastern Province, Saudi Arabia, is one of a growing number of gigantic plants that output upwards of a million cubic meters of water each day. That amount of water can meet the needs of millions of people in Riyadh City. Producing it takes a lot of power—the attached power plant has a capacity of 2.4 gigawatts. While this plant is just one of thousands across the region, it’s an example of a growing trend: The average size of a desalination plant is about 10 times what it was 15 years ago, according to data from the International Energy Agency. Communities are increasingly turning to larger plants, which can produce water more efficiently than smaller ones. Between 2024 and 2028, the Middle East’s desalination capacity could grow by over 40%. Desalination is only going to be more crucial for life in the Middle East. The region is expected to spend over $25 billion on capital expenses for desalination facilities between 2024 and 2028, according to the 2026 npj Clean Water study. More massive plants are expected to come online in Saudi Arabia, Iraq, and Egypt during that time. All this growth could consume a lot of electricity. Between growth of the technology generally and the move toward plants that use electricity rather than fossil fuels, desalination could add 190 terawatt-hours of electricity demand globally by 2035, according to IEA data. That’s the equivalent of about 60 million households. This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here.

Mustafa Suleyman: AI development won’t hit a wall anytime soon—here’s why
We evolved for a linear world. If you walk for an hour, you cover a certain distance. Walk for two hours and you cover double that distance. This intuition served us well on the savannah. But it catastrophically fails when confronting AI and the core exponential trends at its heart. From the time I began work on AI in 2010 to now, the amount of training data that goes into frontier AI models has grown by a staggering 1 trillion times—from roughly 10¹⁴ flops (floating-point operations‚ the core unit of computation) for early systems to over 10²⁶ flops for today’s largest models. This is an explosion. Everything else in AI follows from this fact. The skeptics keep predicting walls. And they keep being wrong in the face of this epic generational compute ramp. Often, they point out that Moore’s Law is slowing. They also mention a lack of data, or they cite limitations on energy. But when you look at the combined forces driving this revolution, the exponential trend seems quite predictable. To understand why, it’s worth looking at the complex and fast-moving reality beneath the headlines.
Think of AI training as a room full of people working calculators. For years, adding computational power meant adding more people with calculators to that room. Much of the time those workers sat idle, drumming their fingers on desks, waiting for the numbers to come through for their next calculation. Every pause was wasted potential. Today’s revolution goes beyond more and better calculators (although it delivers those); it is actually about ensuring that all those calculators never stop, and that they work together as one. Three advances are now converging to enable this. First, the basic calculators got faster. Nvidia’s chips have delivered an eightfold increase in raw performance in just six years, from 312 teraflops in 2020 to 2,500 teraflops today. Our own Maia 200 chip, launched this January, delivers 30% better performance per dollar than any other hardware in our fleet. Second, the numbers arrive faster thanks to a technology called HBM, or high bandwidth memory, which stacks chips vertically like tiny skyscrapers; the latest generation, HBM3, triples the bandwidth of its predecessor, feeding data to processors fast enough to keep them busy all the time. Third, the room of people with calculators became an office and then a whole campus or city. Technologies like NVLink and InfiniBand connect hundreds of thousands of GPUs into warehouse-size supercomputers that function as single cognitive entities. A few years ago this was impossible.
These gains all come together to deliver dramatically more compute. Where training a language model took 167 minutes on eight GPUs in 2020, it now takes under four minutes on equivalent modern hardware. To put this in perspective: Moore’s Law would predict only about a 5x improvement over this period. We saw 50x. We’ve gone from two GPUs training AlexNet, the image recognition model that kicked off the modern boom in deep learning in 2012, to over 100,000 GPUs in today’s largest clusters, each one individually far more powerful than its predecessors. Then there’s the revolution in software. Research from Epoch AI suggests that the compute required to reach a fixed performance level halves approximately every eight months, much faster than the traditional 18-to-24-month doubling of Moore’s Law. The costs of serving some recent models have collapsed by a factor of up to 900 on an annualized basis. AI is becoming radically cheaper to deploy. The numbers for the near future are just as staggering. Consider that leading labs are growing capacity at nearly 4x annually. Since 2020, the compute used to train frontier models has grown 5x every year. Global AI-relevant compute is forecast to hit 100 million H100-equivalents by 2027, a tenfold increase in three years. Put all this together and we’re looking at something like another 1,000x in effective compute by the end of 2028. It’s plausible that by 2030 we’ll bring an additional 200 gigawatts of compute online every year—akin to the peak energy use of the UK, France, Germany, and Italy put together. What does all this get us? I believe it will drive the transition from chatbots to nearly human-level agents—semiautonomous systems capable of writing code for days, carrying out weeks- and months-long projects, making calls, negotiating contracts, managing logistics. Forget basic assistants that answer questions. Think teams of AI workers that deliberate, collaborate, and execute. Right now we’re only in the foothills of this transition, and the implications stretch far beyond tech. Every industry built on cognitive work will be transformed. The obvious constraint here is energy. A single refrigerator-size AI rack consumes 120 kilowatts, equivalent to 100 homes. But this hunger collides with another exponential: Solar costs have fallen by a factor of nearly 100 over 50 years; battery prices have dropped 97% over three decades. There is a pathway to clean scaling coming into view. The capital is deployed. The engineering is delivering. The $100 billion clusters, the 10-gigawatt power draws, the warehouse-scale supercomputers … these are no longer science fiction. Ground is being broken for these projects now across the US and the world. As a result, we are heading toward true cognitive abundance. At Microsoft AI, this is the world our superintelligence lab is planning for and building. Skeptics accustomed to a linear world will continue predicting diminishing returns. They will continue being surprised. The compute explosion is the technological story of our time, full stop. And it is still only just beginning. Mustafa Suleyman is CEO of Microsoft AI.

The Download: water threats in Iran and AI’s impact on what entrepreneurs make
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. Desalination plants in the Middle East are increasingly vulnerable As the conflict in Iran has escalated, a crucial resource is under fire: the desalinization technology that supplies water in the region. President Donald Trump has threatened to destroy “possibly all desalinization plants” in Iran if the Strait of Hormuz is not reopened. The impact on farming, industry, and—crucially—drinking in the Middle East could be severe. Find out why. —Casey Crownhart This story is part of MIT Technology Review Explains, our series untangling the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here.
AI is changing how small online sellers decide what to make For small entrepreneurs, deciding what to sell and where to make it has traditionally been a slow, labor-intensive process. Now that work is increasingly being done by AI. Tools like Alibaba’s Accio compress weeks of product research and supplier hunting into a single chat. Business owners and e-commerce experts say they’re making sourcing more accessible—and slashing the time from product idea to launch.
Read the full story on how AI is leveling the path to global manufacturing. —Caiwei Chen The gig workers who are training humanoid robots at home When Zeus, a medical student in Nigeria, returns to his apartment from a long day at the hospital, he straps his iPhone to his forehead and records himself doing chores. Zeus is a data recorder for Micro1, which sells the data he collects to robotics firms. As these companies race to build humanoids, videos from workers like Zeus have become the hottest new way to train them. Micro1 has hired thousands of them in more than 50 countries, including India, Nigeria, and Argentina. The jobs pay well locally, but raise thorny questions around privacy and informed consent. The work can be challenging—and weird. Read the full story. —Michelle Kim This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we’re publishing each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Anthropic’s new model found security problems in every OS and browser Claude Mythos has been heralded as a cybersecurity “reckoning.” (The Verge) + Anthrophic is limiting the rollout over hacking fears. (CNBC) + It’s also launching a project that lets Mythos flag vulnerabilities. (Gizmodo) + Apple, Google, and Microsoft have joined the initiative. (ZDNET)
2 Iranian hackers are targeting American critical infrastructure Their focus is on energy and water infrastructure. (Wired) + They’re targeting industrial control devices. (TechCrunch) 3 Google’s AI Overviews deliver millions of incorrect answers per hour Despite a 90% accuracy rate. (NYT $) + AI means the end of internet search as we’ve known it. (MIT Technology Review) 4 Elon Musk is trying to oust OpenAI CEO Sam Altman in a lawsuit As remedies for Altman allegedly defrauding him. (CNBC) + Musk wants any damages given to OpenAI’s nonprofit arm. (WSJ $) 5 ICE has admitted it’s using powerful spyware The tools that can intercept encrypted messages. (NPR) + Immigration agencies are also weaponizing AI videos. (MIT Technology Review) 6 Greece has joined the countries banning kids from social media Under-15s will be blocked from 2027. (Reuters) + Australia introduced the world’s first social media ban for children. (Guardian) + Indonesia recently rolled out the first one in Southeast Asia. (DW) + Experts say they’re a lazy fix. (CNBC) 7 Intel will help Elon Musk build his Terafab in Texas They aim to manufacture chips for AI projects. (Engadget) + Musk says it will be the largest-ever semiconductor factory. (Engadget) + Future AI chips could be built on glass. (MIT Technology Review) 8 TikTok is building a second billion-euro data center in Finland It’s moving data storage for European users. (Reuters) + Finland has become a magnet for data centers. (Bloomberg $) + But nobody wants one in their backyard. (MIT Technology Review) 9 Plans for Canada’s first “virtual gated community” have sparked a row The AI-powered surveillance system has divided neighbors. (Guardian) + Is the Pentagon allowed to surveil Americans with AI? (MIT Technology Review)
10 The high-tech engineering of the “space toilet” has been revealed Artemis II is the first mission to carry one around the world. (Vox) Quote of the day
“This case has always been about Elon generating more power and more money for what he wants. His lawsuit remains nothing more than a harassment campaign that’s driven by ego, jealousy and a desire to slow down a competitor.” —OpenAI criticizes Musk’s legal action in an X post. One More Thing Inside the US government’s brilliantly boring websites You may not notice it, but your experience on every US government website is carefully crafted. Each site aligns an official web design and a custom typeface. They aim to make government websites not only good-looking but accessible and functional for all. MIT Technology Review dug into the system’s history and features. Find out what we discovered. —Jon Keegan
We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.) + Rejoice in the splendor of the “Earthset” image captured by Artemis II. + Meet the fearless cat chasing off bears. + This document vividly explains what makes the octopus so unique. + Revealed: the rhythmic secret that makes emo music so angsty.

Desalination plants in the Middle East are increasingly vulnerable
EXECUTIVE SUMMARY MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. As the conflict in Iran has escalated, a crucial resource is under fire: the desalination technology that supplies water across much of the region. In early March, Iran’s foreign minister accused the US of attacking a desalination plant on Qeshm Island in the Strait of Hormuz and disrupting the water supply to nearly 30 villages. (The US denied responsibility.) In the weeks since, both Bahrain and Kuwait have reported damage to desalination plants and blamed Iran, though Iran also denied responsibility. In late March, President Donald Trump threatened the destruction of “possibly all desalinization plants” in Iran if the Strait of Hormuz was not reopened. Since then, he’s escalated his threats against Iran, warning of plans to attack other crucial civilian infrastructure like power plants and bridges.
Countries in the Middle East, particularly the Gulf states, rely on the technology to turn salt water into fresh water for farming, industry, and—crucially—drinking. The mounting attacks and threats to date highlight just how vital the industry is to the region—a situation made even more precarious by rising temperatures and extreme weather driven by climate change. Right now, 83% of the Middle East is under extremely high water stress, says Liz Saccoccia, a water security associate at the World Resources Institute. Future projections suggest that’s going to increase to about 100% by 2050, she adds: “This is a continuing trend, and it’s getting worse, not better.”
Here’s a look at desalination technology in the Middle East and what wartime threats to the critical infrastructure could mean for people in the region. A vital resource Desalination technology has helped provide water supplies in the Middle East since the early 20th century and became widespread in the 1960s and 1970s. There are two major categories of desalination plants. Thermal plants use heat to evaporate water, leaving salt and other impurities behind. The vapor can then be condensed into usable fresh water. The alternative is membrane-based technology like reverse osmosis, which pushes water through membranes that have tiny pores—so small that salt can’t get through. Early desalination plants in the Middle East were the first type, burning fossil fuels to evaporate water, leaving the salt behind. This technique is incredibly energy-intensive, and over time, processes that rely on filters became the dominant choice. Membrane technologies have made up essentially all new desalination capacity in recent years; the last major thermal plant built in the Gulf came online in 2018. Many reverse osmosis plants still rely on fossil fuels, but they’re more efficient. Since then, membrane technologies have added more than 15 million cubic meters of daily capacity—enough to supply water to millions of people. Capacity has expanded quickly in recent years; between 2006 and 2024, countries across the Middle East collectively spent over $50 billion building and upgrading desalination facilities, and nearly that much operating them. Today, there are nearly 5,000 desalination plants operational across the Middle East. And looking ahead, growth is continuing. Between 2024 and 2028, daily capacity is expected to grow from about 29 million cubic meters to 41 million cubic meters.
Uneven vulnerabilities Some countries rely on the technology more than others. Iran, for example, uses desalination for about 3% of its municipal fresh water. The country has access to groundwater and some surface water, including rivers, though these resources are being stretched thin by agriculture and extreme drought. Other nations in the region, particularly the Gulf countries (Bahrain, Qatar, Kuwait, the United Arab Emirates, Saudi Arabia, and Oman), have much more limited water resources and rely heavily on desalination. Across these six nations, all but the UAE get more than half their drinking water from desalination, and for Bahrain, Qatar, and Kuwait the figure is more than 90%. “The Gulf countries are much, much more vulnerable to attacks on their desalination plants than Iran is,” says David Michel, a senior associate in the global food and water security program at the Center for Strategic and International Studies. There are thousands of desalination facilities across the region, so the system wouldn’t collapse if a small number were taken offline, Michel says. However, in recent years there’s been a trend toward larger, more centralized plants. The average desalination plant is about 10 times larger than it was 15 years ago, according to data from the International Energy Agency. The largest desalination plants today can produce 1 million cubic meters of water daily, enough for hundreds of thousands of people. Taking one or more of these massive facilities offline could have a significant effect on the system, Michel says. Escalating threats Desalination facilities are quite linear, meaning there are multiple steps and pieces of equipment that work in sequence—and the failure of a component in that chain can take an entire facility down. Attacks on water inlets, transportation networks, and power supplies can also disrupt the system, Michel says. During the Gulf War in 1991, Iraqi forces pumped oil into the gulf, contaminating the water and shutting down desalination plants in Kuwait. The facilities are also generally located close to other targets in this conflict. Desalination is incredibly energy intensive, so about three-quarters of facilities in the region are next to power plants. Trump has repeatedly threatened power plants in Iran. In response, Iran’s military has said that if civilian targets are hit, the country will respond with strikes that are “much more devastating and widespread.” Other governments and organizations, including the United Nations, the European Union, and the Red Cross, have broadly condemned threats to infrastructure as illegal.
But war isn’t the only danger facing these plants, even if it is the most immediate. Some studies have suggested that global warming could strengthen cyclones in the region, and these extreme weather events could force shutdowns or damage equipment. Water pollution could also cause shutdowns. Oil spills, whether accidental or intentional, as in the case of the Gulf War, can wreak havoc. And in 2009, a red algae bloom closed desalination plants in Oman and the United Arab Emirates for weeks. The algae fouled membranes and blocked the plants from being able to take water in from the Persian Gulf and the Gulf of Oman.
Desalination facilities could become more resilient to threats in the future, and they may need to as their importance continues to grow. There’s increasing interest in running desalination facilities at least partially on solar power, which could help reduce dependence on the oil that powers most facilities today. The Hassyan seawater desalination project in the UAE, currently under construction, would be the largest reverse osmosis plant in the world to operate solely with renewable energy. Another way to increase resilience is for countries to build up more strategic water storage to meet demand. Qatar recently issued new policies that aim to improve management and storage of desalinated water, for example. Countries could also work together to invest in shared infrastructure and policies that help strengthen the water supply through the region. Preparedness, resilience, and cooperation will be key for the Middle East broadly as critical infrastructure, including the water supply, is increasingly under threat. “The longer the conflict goes on, the more likely we’ll see significant water infrastructure damage,” says Ginger Matchett, an assistant director at the Atlantic Council. “What worries me is that after this war ends, some of the lessons will show how water can be weaponized more strategically than previously imagined.”

Google owns the most AI compute, and it built it its way
Google, for its part, will continue to be “one of the largest, if not the largest,” consumer of compute resources, said Bill Wong, research fellow at Info-Tech Research Group. “Its business model drives that global demand, specifically through the widespread use of Google search and Gemini, which it provides for ‘free,’” he pointed out. However, that same level of traction for enterprise customers is unlikely, as both Microsoft Azure and Amazon AWS have stronger footprints in enterprise. AI infrastructure is also being influenced by the emerging trend toward sovereign AI, where the preferred AI stack is more locally controlled or on-premises, Wong pointed out. Countries like Denmark are looking to migrate both AI and non-AI workloads away from US providers, particularly Microsoft and Google. But let’s see what inferencing brings It’s also important to note that these numbers largely reflect infrastructure buildouts targeted at large-scale training, a realm that Nvidia has dominated with its chips and its CUDA parallel computing platform. But market share will likely shift as inference begins to mature, Kimball predicted. Providers like AMD and Cerebras will begin to gain because they are “equally impressive,” and have different price and performance profiles, he said. The rankings also don’t account for some custom accelerators, including AWS’ Trainium, Microsoft’s Maia, and Meta’s MTIA. Cloud providers will likely deploy their own silicon “whenever and wherever possible,” because there will be considerable price and performance advantages, Kimball pointed out.

Cisco to acquire Galileo for AI observability
“We have this opportunity to be a trust layer, not just for … network activity, but actually what’s happening at the application layer, at the workload layer, between agents, between workloads, between data,” Peter Bailey, senior vice president and general manager of Cisco’s security business, told Network World last month. “Cisco has long offered that trust layer, having trust anchors and trust boundaries and other technologies, so we’re really extending that into the world of agents and workloads.” For its part, Galileo recently said it would contribute its Agent Control framework to the open-source community. Agent Control is a control plane that establishes a new standard for governing agent behavior. It was released under the Apache 2.0 license. The democratization of AI brings new complexities, Hathi stated. “The behavior of agentic applications can lead to unexpected, inaccurate, low quality, or harmful outputs. These issues can ultimately lead to decreased customer trust, poor end-user experiences, and increased costs,” he wrote. “As a result, teams need visibility across the AI stack beyond signals like latency and errors. Observability must evaluate issues like hallucinations and bias, security metrics to detect, mitigate business risks, and track cost and usage metrics to ensure clear ROI.” “Galileo will help us do just this, expanding Cisco’s deep bench of AI engineering talent to set the standard for AI agent evaluation,” Hathi wrote. The acquisition is expected to close in the fourth quarter of Cisco’s 2026 fiscal year.

Energy Department Continues Initiating Strategic Petroleum Reserve Emergency Exchanges
WASHINGTON — The U.S. Department of Energy (DOE) today issued a Request for Proposal (RFP) for an emergency exchange of up to 30 million barrels of sweet crude oil from the Strategic Petroleum Reserve (SPR). This action continues DOE’s execution of the 172-million-barrel release President Trump authorized as part of a coordinated release of 400 million barrels from IEA member nations’ strategic reserves. The Department will continue issuing RFPs to deliver on President Trump’s commitment to the coordinated release, addressing global supply disruptions and strengthening energy security for the United States and its allies. The crude oil will originate from the SPR’s West Hackberry site. This action builds on the Department’s two previous Emergency Exchange RFPs, which together quickly moved to award approximately 55 million barrels from the Bayou Choctaw, Bryan Mound, and West Hackberry SPR sites. These earlier exchanges demonstrated the SPR’s ability to rapidly deliver crude oil to the market under emergency authorities. Today’s announcement of the 30-million-barrel exchange leverages the full capabilities of the SPR, alongside the President’s limited Jones Act waiver, to accelerate critical near-term oil flows into the market and strengthen supply resilience. “Today’s action strengthens efforts to move oil quickly to market and address short-term supply pressures,” said Kyle Haustveit, Assistant Secretary of the Hydrocarbons and Geothermal Energy Office. “With two earlier exchanges, we are building on proven momentum. Thanks to President Trump, we are managing the SPR responsibly, returning premium barrels later to bolster long-term readiness at no cost to taxpayers.” Under DOE’s exchange authority, participating companies will return the borrowed 30-million-barrels with additional premium barrels by next year. This exchange delivers immediate crude to refiners and the market while generating additional barrels for the American people at no cost to taxpayers. Bids for this solicitation are due no later than 11:00 A.M. Central Time on Monday, April 13, 2026. For more information on the SPR, please visit DOE’s website.

DOE’s Office of Energy Dominance Financing Announces Conditional Commitment for a Domestic Medical Isotope Manufacturing Facility
WASHINGTON—The U.S. Department of Energy’s (DOE) Office of Energy Dominance Financing (EDF) issued a conditional commitment for a loan of up to $263 million to SHINE Chrysalis, LLC (SHINE) to support the construction of Chrysalis, a high-volume medical isotope production facility in Janesville, Wisconsin. The production facility will create a supply of reliable and secure medical isotopes made with fusion and fission technology. Millions of patients rely on medical isotopes for life-saving diagnostic imaging and cancer treatments, but most of that supply comes from overseas with limited capacity to meet demand. Utilizing fusion and fission technology, the facility will establish the only domestic commercial supply of molybdenum-99 (Mo-99). Mo-99 is a life-saving medical isotope essential for diagnostic imaging; its decay product of technetium-99m (Tc-99m) is used in over 40,000 medical procedures in the United States each day. “The SHINE Chrysalis project is vital to improving the nuclear supply chain and contributing to a strong next-generation nuclear workforce while onshoring this critical production and improving national security,” EDF Director Gregory A. Beard said. “Using EDF’s loan authority to further commercialize a project long supported by DOE is Trump’s policy at work: ensuring a reliable and secure domestic supply chain while lowering costs.” Thanks to President Trump and the Working Families Tax Cut, today’s announcement highlights the Energy Department’s role in advancing President Trump’s Executive Order, Reinvigorating the Nuclear Industrial Base, by maximizing the use of uranium through an innovative recycling process. This project will support hundreds of construction and operation jobs, contributing to a strong next-generation American nuclear workforce. SHINE has developed and demonstrated its technology through significant support from the National Nuclear Security Administration (NNSA) over the last 16 years. With NNSA funding, the National Laboratories also played a key role in developing SHINE’s technology. “SHINE is the key to

Neoclouds gain momentum in a supply-constrained world
And since they used the same hardware, both neoclouds and traditional cloud providers are subject to the same shortage problem. Component suppliers are reporting significant shortages due to demand for AI data centers and Synergy sees neoclouds also experiencing delays just like traditional cloud providers. “Demand is currently outstripping supply,” said Dinsmore. “It will take a while before that starts to come into more balance.” Among neoclouds, CoreWeave stands out as the most direct challenger to traditional hyperscale cloud providers. Meanwhile, OpenAI and Anthropic represent a distinct but increasingly important category, and that is platform-centric providers offering cloud-like access to foundational models and AI development environments. Synergy says that as demand for AI infrastructure accelerates, neoclouds are positioning themselves as focused alternatives to traditional hyperscale providers such as Amazon, Microsoft and Google.

What is AI networking? How it adds intelligence to your infrastructure
The end goal is to make networks more reliable, efficient and performant. Enterprises are already seeing notable results when AI is applied to IT operations, including shorter deployment times, a decrease in trouble tickets, and faster time to resolution. With the help of AI, networks will become more autonomous and self-healing (that is, able to address issues without the need for human intervention). In fact, Tier 1 and Tier 2 infrastructure is moving toward ‘no human in the loop,’ Nick Lippis, co-founder and co-chair of enterprise user community ONUG, recently told Network World. In time, humans will only need to step in for policy exceptions and high-risk decisions. “Layering in AI capabilities makes LAN management applications easier to use and more accessible across an organization,” Dell’Oro Group analyst Sian Morgan said. Gartner predicts that, by 2030, AI agents will drive most network activities, up from “minimal adoption” in 2025. The firm emphasizes that leaders who overlook the AI networking shift “risk higher MTTR [meantime to repair], rising costs, and growing security exposure.” The core components of AI networking It’s important to note that the use of AI and machine learning (ML) in network management is not new. AI for IT operations (AIOps), for instance, is a common practice that uses automation to improve broader IT operations. AI networking is specific to the network itself, covering domains including multi-cloud software, wired and wireless LAN, data center switching, SD-WAN and managed network services (MNS). The incorporation of generative AI, in particular, has brought AI networking to the fore, as enterprise leaders are rethinking every single aspect of their business, networking included.
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