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Kids are outsmarting social media bans. That’s not a problem we need to solve.

Social media bans are stacking up. In July, France joined Australia in restricting minors from accessing social media—barring children under 15 from major platforms, before the ban was blocked by the country’s top court on human rights grounds. The UK aims to forbid kids under 16 from accessing Facebook, TikTok, and other platforms in early 2027, and the EU has announced its own plan to prohibit social media for kids under 15. But early lessons from Australia, which enacted a ban in 2024, show that these sorts of age restrictions are easily circumvented. A study published earlier this year found that four in five teens under 16 made their way onto barred platforms. Teens have successfully explored many tactics for bypassing bans, from using a sibling’s face for ID to drawing fake facial hair.  Some proponents of bans have called for an increased focus on enforcement that blocks these workarounds. But circumvention is a signal, not a nuisance or something to be simply deterred. The fact that kids are actively looking for ways to outwit the bans highlights their limitations. Social media bans suppress kids’ access to information, including information that’s essential to their development, identity formation, and socialization, especially during adolescence. Worse, further restriction is likely to backfire. Closing loopholes in age gates could harm kids by pushing them toward less-moderated, higher-risk corners of the web. It also degrades privacy and security for everyone by forcing people to submit sensitive personal information to prove their age. In our work, we’ve found that parents and kids both want smarter, more nuanced policies that protect children, families, and their rights. That can take the form of mandating stronger limits on data collection by companies, or giving families flexible tools to control content and access on their own terms.  Age gates won’t bring about the desired change, nor will they simplify parenting in the digital world. At best, they will only raise thornier questions and postpone the conversation to a child’s 16th birthday. At worst, they’ll leave kids with no guidance as they make their way through the online world. A less safe internet for kids When young people circumvent restrictions, they are often doing what we want developing minds to do and what we celebrate in other contexts: lean into curiosity, problem-solve, and exercise independence. It’s important for kids to do this online, an arena where they often develop social skills and refine their identities. Bans sweep these motivations under the rug, taking a paternalistic approach that doesn’t consider young people’s needs or the realities of what they do online.  It also ignores what some parents want. When we examined social media safety interventions last year, parents told us that they often join their kids in lies that help them gain access to needed but gated services. This isn’t a new phenomenon; research all the way back in 2011 showed that parents taught their children how to evade Facebook age restrictions. Some may say these parents are oblivious to the harms posed by the web or just don’t care. But parents are not a monolithic group. Many simply see offering their children responsible access to social media as a way to help them connect with like-minded peers, find informational content, and learn digital safety skills early on. Many parents believe the benefits outweigh the risks.  When parents don’t help provide access and kids are not able to get into the platforms they desire, they will likely move toward alternative online spaces, often ones with fewer guardrails. Sometimes kids wind up on fairly innocuous, if unconventional, platforms, communicating with each other in Google Docs or podcast comment sections. Other times they move to more dangerous platforms that can leave them vulnerable to abuse and predation. In the aftermath of the Australian social media ban, preliminary research shows that kids’ screen time has not meaningfully decreased but has sometimes been redirected, with some young users going to spaces that are unmonitored and unknown to parents. Just as cities are sketchiest when they are not bustling, the most risky platforms for young people are those with the fewest eyes on the digital street. Outdated, dying, and under-resourced platforms tend to attract both vulnerable youth and those who prey on them. A less safe internet for all Age gates come with dangers of their own. Some platforms automatically track users’ online activities to confirm their age. In doing so, they profile users—collecting and analyzing their data to make inferences about them, which can increase the risk that data will be misused or leaked.  Companies may also ask for personal documents like driver’s licenses to verify age, which can lead to mishandling of sensitive documents or even identity theft. Data breaches happen: Last year, for example, Discord reported that one of its third-party services, 5CA, which is used to confirm age, had been compromised, exposing at least 70,000 images of users’ government IDs. It can take little effort to find ways to use that kind of information for malicious purposes by, say, connecting driver’s licenses to specific accounts and private online activity, which could reveal anything from users’ political opinions to their sexual preferences.  Efforts to make it harder for kids to get around age gates have also led policymakers to clamp down on kids’ access to VPNs. State age verification bills in Michigan and Utah have tried to interfere with the privacy protections offered by these tools (the Utah bill is now blocked by a federal court), and Australia’s eSafety Commissioner is nudging social media platforms to detect and block their use. But requiring adult users to prove their age to gain access to a VPN fundamentally defeats the purpose of that privacy-focused technology. It can put many users, particularly journalists and human rights defenders working on sensitive issues, in danger of government surveillance and even retaliation. What could work instead? Rather than attempting to block young people from online services that allow them to access information and engage in age-essential communication, policymakers should focus on the incentives that drive companies to engage in behavior that creates risks for kids in the first place.  For example, platforms should decrease what experts call unhealthy engagement or addictive activity by limiting the collection and use of data that companies use to target content and features to all users, including children. Nearly all parents and teens we spoke with want policymakers to impose such restrictions, knowing full well that the companies’ use of data is at the core of features such as targeted advertisements. Both teens and parents are also frustrated by features designed to keep us all online for longer than we want. Another approach would be to expand the availability of user-controlled tools so that families have easy, flexible, and user-friendly ways to limit access to what is undesirable. For example, keyword-based content filtering can enable a student who is targeted with a specific nickname or inside joke to block any post or comment containing it. Platforms are unlikely to know which word or term a child might want to block, nor can policy seek to address such dynamic types of harm. Policy can, however, offer tools that would put power back in users’ hands.  Poor privacy practices, anxiety-producing content streams, and a near-inescapable need to use  digital technologies for everyday tasks, communication, and information-seeking have rightfully led parents and teens to want real change in how companies conduct business. Circumvention shows where policy falls short. Stricter enforcement will mean yet more data collection, and it won’t meet kids and parents where they are.  Michal Luria is a senior research fellow at the Center for Democracy & Technology, leading the organization’s work on evaluating and designing sociotechnical systems. Aliya Bhatia is a senior policy analyst at the Center for Democracy & Technology’s Free Expression Project where she leads policy advocacy and research on issues related to children’s safety online, multilingual technologies, and human rights governance of online platforms. Danah Boyd is the Geri Gay Professor of Communication at Cornell University, where her research focuses on the intersection of technology and society. Her latest book is Data Are Made, Not Found: A Story of Politics, Power, and the Civil Servants Who Saved the US Census. 

Social media bans are stacking up. In July, France joined Australia in restricting minors from accessing social media—barring children under 15 from major platforms, before the ban was blocked by the country’s top court on human rights grounds. The UK aims to forbid kids under 16 from accessing Facebook, TikTok, and other platforms in early 2027, and the EU has announced its own plan to prohibit social media for kids under 15.

But early lessons from Australia, which enacted a ban in 2024, show that these sorts of age restrictions are easily circumvented. A study published earlier this year found that four in five teens under 16 made their way onto barred platforms. Teens have successfully explored many tactics for bypassing bans, from using a sibling’s face for ID to drawing fake facial hair. 

Some proponents of bans have called for an increased focus on enforcement that blocks these workarounds. But circumvention is a signal, not a nuisance or something to be simply deterred. The fact that kids are actively looking for ways to outwit the bans highlights their limitations. Social media bans suppress kids’ access to information, including information that’s essential to their development, identity formation, and socialization, especially during adolescence. Worse, further restriction is likely to backfire. Closing loopholes in age gates could harm kids by pushing them toward less-moderated, higher-risk corners of the web. It also degrades privacy and security for everyone by forcing people to submit sensitive personal information to prove their age.

In our work, we’ve found that parents and kids both want smarter, more nuanced policies that protect children, families, and their rights. That can take the form of mandating stronger limits on data collection by companies, or giving families flexible tools to control content and access on their own terms. 

Age gates won’t bring about the desired change, nor will they simplify parenting in the digital world. At best, they will only raise thornier questions and postpone the conversation to a child’s 16th birthday. At worst, they’ll leave kids with no guidance as they make their way through the online world.

A less safe internet for kids

When young people circumvent restrictions, they are often doing what we want developing minds to do and what we celebrate in other contexts: lean into curiosity, problem-solve, and exercise independence. It’s important for kids to do this online, an arena where they often develop social skills and refine their identities. Bans sweep these motivations under the rug, taking a paternalistic approach that doesn’t consider young people’s needs or the realities of what they do online. 

It also ignores what some parents want. When we examined social media safety interventions last year, parents told us that they often join their kids in lies that help them gain access to needed but gated services. This isn’t a new phenomenon; research all the way back in 2011 showed that parents taught their children how to evade Facebook age restrictions. Some may say these parents are oblivious to the harms posed by the web or just don’t care. But parents are not a monolithic group. Many simply see offering their children responsible access to social media as a way to help them connect with like-minded peers, find informational content, and learn digital safety skills early on. Many parents believe the benefits outweigh the risks. 

When parents don’t help provide access and kids are not able to get into the platforms they desire, they will likely move toward alternative online spaces, often ones with fewer guardrails. Sometimes kids wind up on fairly innocuous, if unconventional, platforms, communicating with each other in Google Docs or podcast comment sections. Other times they move to more dangerous platforms that can leave them vulnerable to abuse and predation. In the aftermath of the Australian social media ban, preliminary research shows that kids’ screen time has not meaningfully decreased but has sometimes been redirected, with some young users going to spaces that are unmonitored and unknown to parents. Just as cities are sketchiest when they are not bustling, the most risky platforms for young people are those with the fewest eyes on the digital street. Outdated, dying, and under-resourced platforms tend to attract both vulnerable youth and those who prey on them.

A less safe internet for all

Age gates come with dangers of their own. Some platforms automatically track users’ online activities to confirm their age. In doing so, they profile users—collecting and analyzing their data to make inferences about them, which can increase the risk that data will be misused or leaked. 

Companies may also ask for personal documents like driver’s licenses to verify age, which can lead to mishandling of sensitive documents or even identity theft. Data breaches happen: Last year, for example, Discord reported that one of its third-party services, 5CA, which is used to confirm age, had been compromised, exposing at least 70,000 images of users’ government IDs. It can take little effort to find ways to use that kind of information for malicious purposes by, say, connecting driver’s licenses to specific accounts and private online activity, which could reveal anything from users’ political opinions to their sexual preferences. 

Efforts to make it harder for kids to get around age gates have also led policymakers to clamp down on kids’ access to VPNs. State age verification bills in Michigan and Utah have tried to interfere with the privacy protections offered by these tools (the Utah bill is now blocked by a federal court), and Australia’s eSafety Commissioner is nudging social media platforms to detect and block their use. But requiring adult users to prove their age to gain access to a VPN fundamentally defeats the purpose of that privacy-focused technology. It can put many users, particularly journalists and human rights defenders working on sensitive issues, in danger of government surveillance and even retaliation.

What could work instead?

Rather than attempting to block young people from online services that allow them to access information and engage in age-essential communication, policymakers should focus on the incentives that drive companies to engage in behavior that creates risks for kids in the first place. 

For example, platforms should decrease what experts call unhealthy engagement or addictive activity by limiting the collection and use of data that companies use to target content and features to all users, including children. Nearly all parents and teens we spoke with want policymakers to impose such restrictions, knowing full well that the companies’ use of data is at the core of features such as targeted advertisements. Both teens and parents are also frustrated by features designed to keep us all online for longer than we want.

Another approach would be to expand the availability of user-controlled tools so that families have easy, flexible, and user-friendly ways to limit access to what is undesirable. For example, keyword-based content filtering can enable a student who is targeted with a specific nickname or inside joke to block any post or comment containing it. Platforms are unlikely to know which word or term a child might want to block, nor can policy seek to address such dynamic types of harm. Policy can, however, offer tools that would put power back in users’ hands. 

Poor privacy practices, anxiety-producing content streams, and a near-inescapable need to use  digital technologies for everyday tasks, communication, and information-seeking have rightfully led parents and teens to want real change in how companies conduct business.

Circumvention shows where policy falls short. Stricter enforcement will mean yet more data collection, and it won’t meet kids and parents where they are. 

Michal Luria is a senior research fellow at the Center for Democracy & Technology, leading the organization’s work on evaluating and designing sociotechnical systems. Aliya Bhatia is a senior policy analyst at the Center for Democracy & Technology’s Free Expression Project where she leads policy advocacy and research on issues related to children’s safety online, multilingual technologies, and human rights governance of online platforms. Danah Boyd is the Geri Gay Professor of Communication at Cornell University, where her research focuses on the intersection of technology and society. Her latest book is Data Are Made, Not Found: A Story of Politics, Power, and the Civil Servants Who Saved the US Census. 

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SolarWinds launches Avior AI agents to automate network operations

The first Avior offering is a network engineering agent that can automate alert management, configuration automation, compliance checks, and incident remediation. “We started there because [the network is] kind of our bread and butter,” Childress explains. “Many of our customers, a large portion of our customers, are on our network

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Energy Department Invests Over $11 Million to Strengthen America’s Energy Workforce

WASHINGTON—The U.S. Department of Energy’s (DOE) Hydrocarbons and Geothermal Energy Office (HGEO) and Office of Indian Energy Policy and Programs (IE) today announced nearly $11.1 million in federal funding for eight projects selected for negotiation through the Partnerships for Academic-Industry Career Training (PACT) Initiative. The projects will create or expand hands-on training and industry-recognized credentialing programs designed around regional workforce needs, helping prepare American workers for critical jobs that support oil, natural gas, coal, and geothermal energy industries. “President Trump’s American energy dominance agenda relies on workers with the practical skills to build, operate, maintain, and modernize the systems that power our economy,” said DOE Acting Assistant Secretary for Hydrocarbons and Geothermal Energy Curt Coccodrilli. “These projects will bring industry and educators together to ensure training reflects real-world needs. By investing in job-focused training, the Department of Energy is helping develop the workforce we need to strengthen U.S. energy resilience and supplies.”  “The Tribal energy workforce is vital to unleashing America’s energy resources,” said IE Director Eric Mahroum. “Through targeted jobs and training, Tribes are growing the next generation of Tribal energy leaders. Tribal colleges and universities are essential partners in this mission, and we are proud to select two of these institutions as they prepare workers to tackle the critical energy challenges facing America.”  The selections include almost $8.8 million for six HGEO-supported projects and approximately $2.3 million for two IE-supported projects. By bringing together colleges, technical institutions, employers, and workforce partners, PACT is designed to build a stronger pipeline of skilled workers needed to advance President Trump’s commitment to expand domestic energy production to provide more affordable, reliable, and secure energy to the American people.  Learn more about the selected eight projects here.  

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Hengyi Industries taps Honeywell Technologies for Brunei complex expansion

Zhejiang Hengyi Group Co. Ltd. subsidiary Hengyi Industries Sdn. Bhd. (Hengyi Industries) has awarded Honeywell Technologies a contract for delivery of proprietary process technologies and related services for Phase II of the operator’s planned expansion of its Pulau Muara Besar (PMB) refinery and petrochemical complex at Pulau Muara Besar Industrial Park in Brunei. Under the new contract, Honeywell Technologies said in a release Oct. 14 that it will provide technology licensing, engineering, proprietary equipment, catalysts, and technical support for the proposed expansion. Honeywell Technologies’ specific scope of delivery under the order includes its CCR Platforming, Unicracking, Unionfining, Butamer, and C4 Oleflex processes, as well as an aromatics complex based on the service provider’s light desorbent Parex technology. The Phase II PMB expansion project primarily aims to raise the complex’s crude-processing capacity to about 20 million tonnes/year (tpy) from current crude throughputs of between 8-9 million tpy, supporting Brunei’s efforts to create greater value from its oil and gas resources and expand the country’s downstream industries, according to information on Hengli Industries’ website and an earlier release from the operator dated Feb. 12, 2026. Alongside bolstering Hengyi Industries’ plan to increase petrochemical production at the site, Honeywell said its provision of technologies and equipment for the project also are intended to help improve the integrated complex’s efficiency and reliability while enabling greater production of higher-value petrochemicals. Mechanical completion of the Phase II expansion is targeted by yearend 2028 for anticipated startup in early 2029, according to Hengyi Industries. Once online, the project’s planned hydrocracking, aromatics, and dehydrogenation installations will be among the largest of their kind, Honeywell Technologies said. The latest award for Phase II extends work that began during Phase I, for which Honeywell Technologies supplied process technologies, engineering design, equipment, catalysts, and adsorbents, operator training, and technical services for

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EIA: US crude oil inventories down 8.6 million bbl

US crude oil inventories for the week ended Oct. 9, excluding the Strategic Petroleum Reserve, US commercial crude oil inventories decreased by 8.6 million bbl from the previous week, according to data from the US Energy Information Administration (EIA). The report was released a day later than usual due to the closure of the federal government on Monday, Oct. 12.  At 415.6 million bbl, US crude oil inventories are 3% below the 5-year average for this time of year, the EIA report indicated. Gasoline inventories increased 3.5 million bbl, 4% below the 5-year average. Propane-propylene inventories decreased 1.5 million bbl, 15% above the 5-year average. Total commercial petroleum inventories decreased by 13.4 million bbl for the week. Distillate inventories decreased 2.5 million bbl, 12% below the 5-year average. US crude oil refinery inputs averaged 16.6 million b/d for the week ended Oct. 9, which was 135,000 b/d more than the previous week’s average. Refineries operated at 93.5% of capacity. Gasoline output averaged 9.2 million b/d, and distillate production decreased to 5.2 million b/d. Crude oil imports decreased 791,000 b/d to 6.0 million b/d. The 4-week average of 6.1 million b/d is 0.9% above the year-ago level. Gasoline imports averaged 508,000 b/d; distillate imports averaged 145,000 b/d. Over the past four weeks, total product supplied averaged 21.1 million b/d, up 2.0% year over year. The 4-week average for gasoline product supplied decreased 0.4% year over year to 8.7 million b/d, while the 4-week average for distillate product supplied decreased 0.2% to 4.0 million b/d. The 4-week average for jet fuel product supplied increased 2.3% year over year.

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BW Energy finds oil in Dussafu appraisal wells, supports 2-well development

BW Energy discovered commercial oil volumes in two appraisal wells on the Dussafu license offshore Gabon, supporting development of two additional production wells with estimated recovery of 8-9 million bbl of oil (gross). The first new production well will be drilled as part of the ongoing MaBoMo Phase 2 campaign. First oil is expected in first-quarter 2027, the operator said Oct. 15. The 10P2 appraisal well encountered a 30-m oil column in the Gamba reservoir at the predicted structural level. Formation evaluation, wireline logs, and pressure data confirmed reservoir quality and indicated potential initial production rates exceeding 5,000 bo/d (gross). Incremental recovery is estimated at 6 million bbl of oil (gross). The 10P1 appraisal well encountered a 16-m oil column in a separate accumulation. Formation evaluation confirmed movable oil and supported development with an additional production well. The rig is moving to the MaBoMo production platform, where BW Energy will replace an electrical submersible pump in an existing Hibiscus well before drilling four MaBoMo Phase 2 producers and a fifth well at the 10P2 location. The company expects the new wells to produce about 5,000 bo/d (gross) each initially. MaBoMo Phase 2 is expected to add as much as 20,000 bo/d (gross) at peak production. After completing the MaBoMo campaign, BW Energy plans to drill an infill well on Tortue field and proceed with the Bourdon Phase 1 development, which is scheduled for first oil in first-quarter 2028. Additional appraisal drilling in the Bourdon area, including the Walt Whitman prospect, is planned in 2028. BW Energy holds a 73.5% operated interest in the Dussafu license, which lies within the 850-sq km Ruche Exclusive Exploitation Area. Average water depth is 116 m. Partners are Panoro Energy ASA (17.5%) and Gabon Oil Co. (9%).

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Shell, HYDRA SUBSEA sign agreement for subsea tie-in pipeline installation

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Equinor plans tieback of Grimsnes discovery to Oseberg platform in North Sea

Equinor Energy AS made an oil and gas discovery in the Grimsnes prospect near Oseberg field in the North Sea about 15 km southwest of the Oseberg Sør (South) platform and 145 km west of Bergen in 96 m of water. Well 30/8-7 S, the fifth exploration well in production license (PL) 190, was drilled by the Deepsea Bergen semi-submersible drilling rig to a vertical depth of 3,752 m subsea. It was terminated in the Drake formation in the Lower Jurassic, the Norwegian Offshore Directorate reported. The primary exploration target was to prove petroleum in Middle Jurassic reservoir rocks in the Tarbert formation. The secondary target was to prove petroleum in Middle Jurassic rocks in the Ness and Etive formations. The well encountered a combined oil and gas column totaling 54 m (39-m gas column, 15-m oil column) in the Tarbert formation. The total thickness of the Tarbert formation was 264 m, 111 m of which were sandstone with moderate to good reservoir properties. In the secondary exploration target in the Ness formation, the well encountered a sandstone layer totaling 289 m with variable reservoir quality from poor to very good. The reservoir was aquiferous with a few potential hydrocarbon-filled zones. In the Etive formation, the well encountered aquiferous sandstones totaling 10 m, with moderate reservoir quality. The preliminary volume estimate of the discovery is 19-50 MMboe (3-8 million std cu m). Data has been collected and samples have been taken. The well has been permanently plugged, and the Deepsea Bergen rig will now proceed to Visund Sør field to drill a development well. Equinor plans to quickly tie the discovery back to existing subsea infrastructure and produce the volumes through the Oseberg Sør platform. Grimsnes will most likely be developed with 2-3 wells in a standard 4-slot template. The discovery

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OCP 2026: AI Infrastructure Moves From Scaling to Coordination

Google: Using AI to Engineer the AI Factory Google Vice President and Engineering Fellow Parthasarathy Ranganathan closed the keynote program by extending the discussion beyond infrastructure designed for AI toward infrastructure increasingly designed and operated with AI. The distinction was central to his presentation. For several years, hyperscalers have pursued progressively more sophisticated custom systems to meet the demands of artificial intelligence. Google’s own approach has included TPUs, custom CPUs, optical networking, power distribution, liquid cooling, and extensive hardware-software co-design. But Ranganathan argued that the next opportunity involves applying AI directly to the processes of systems engineering. Google has already been pursuing the concept of agile and fungible data centers, capable of accommodating changing generations of computing hardware without requiring fundamental redesigns of every supporting system. Its OCP contributions include Project Deschutes, an open cooling distribution unit architecture; Project Brazos, intended to bring liquid cooling capabilities into existing air-cooled facilities; and power distribution specifications supporting higher-voltage DC architectures. Ranganathan also highlighted collaborative work involving Google, Meta, Microsoft, and NVIDIA on specifications intended to improve coordination between AI data centers and utility systems. Those efforts address the physical infrastructure required to support AI. The next stage, he suggested, is to apply AI to the engineering processes themselves. Google is exploring AI-assisted hardware architecture, automated software vulnerability detection and repair, data center climate modeling, and infrastructure capacity planning. Among the examples Ranganathan discussed were agentic systems capable of evaluating computer architecture choices and accelerating engineering workflows, alongside AI-assisted tools for software maintenance and operational optimization. In data center design, the company is applying AI and climate modeling to decisions involving cooling capacity, extreme weather risk, and long-term infrastructure investment. The approach could enable more site-specific designs, reducing the need to rely on broad assumptions about operating conditions throughout a facility’s useful life.

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OPC Global Summit: News spans AI-optimized hardware, cooling equipment

Arm announces methodology for evaluating CPU performance Arm released a white paper, developed with partners, that proposes a use-case-driven methodology for measuring the CPU’s contribution to agentic AI systems. It defines five representative workload types—software engineering, enterprise operations, financial and scientific research, personal assistants, and robotics—and pairs component-level benchmarking with end-to-end task measurement built on re-playable agent trajectories. Arm also highlighted independent testing by Signal65 that found its AGI CPU could deliver up to twice the rack-level performance of AMD’s Epyc Turin generation server processors across select agentic AI workloads. The comparison emphasizes completed work under rack-level constraints rather than conventional CPU benchmarks alone. In the testing, an Arm AGI CPU averaged 1.7x better performance for tooling, 2.0x for agentic workflows and orchestration, and 2.2x for reasoning and planning in modeled per-rack performance versus an AMD Epyc Turin processor. Arm’s AGI CPU reduces sandbox creation latency by up to 45% versus AMD Epyc 9965, helping agents spin up isolated execution environments faster, according to Arm. Kioxia introduces SSDs for AI Kioxia unveiled its LD4 Series enterprise solid-state drives (SSD), designed to increase flash storage density in hyperscale data centers and high density 1U servers. The drives target read-intensive workloads, including data storage applications supporting artificial intelligence infrastructure.

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Virginia’s New Data Center Bargain: Power, Permits and the Right to Build

What Took Effect—and What Still Requires Legislation Spanberger laid out the administration’s rationale in announcing the framework: “In the years before I took office, data centers came to Virginia and the Commonwealth did not have a clear or coordinated plan to address their impacts on Virginians — on their electric bills, their water, their land, their air, or their quality of life. That changes today. I have said many times that Virginia should be leading the nation in setting the highest standards for this industry. And now, I believe we are doing just that.” The distinction between what Virginia has already implemented and what the administration intends to pursue is consequential. Executive Order 22 establishes immediate directives for state agencies, while significant portions of the broader Data Center Accountability Framework remain proposals for the 2027 General Assembly or future regulatory action. Among the immediate changes, executive-branch agencies are prohibited from entering into or enforcing new nondisclosure agreements that conceal material information about proposed commercial data centers, public incentives, resource demands or community impacts. Existing contractual commitments are preserved, with limited exceptions contemplated for extraordinary circumstances, including national security. The prohibition does not yet extend automatically to local governments. The order also excludes new data center projects with anticipated peak electrical demand of 25 MW or greater from the Virginia Business Ready Sites Program and similar discretionary state site-readiness and expedited-review assistance. A separate, potentially more consequential proposal would eliminate by-right development approval for data centers using more than 25 MW, requiring local approval even for projects with prior authorizations. That provision has not been enacted statewide and could introduce significant legal questions concerning established development rights. The administration is also accelerating environmental oversight. Within 120 days of the order, the Office of the Chief Energy Officer must publish an initial

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OCP 2026: Agentic AI Drives the Data Center’s Chip-to-Grid Transformation

NVIDIA Opens More of the AI Factory Architecture NVIDIA’s Ian Buck closed the opening keynote program with an extensive presentation covering Vera Rubin systems, open rack designs, networking, power delivery and AI factory software. The company announced additional contributions to OCP based on its third-generation MGX 1.2 reference architecture. The specification includes high-density liquid-cooled computing systems, improved cooling connections, standardized power interfaces and modular mechanical designs. Buck emphasized that these developments are as much about manufacturing and serviceability as they are about computational performance. He described how NVIDIA reduced the assembly time for a compute tray from approximately 90 minutes in the Grace Blackwell generation to roughly one minute for Vera Rubin through simplified mechanical construction and more automated assembly. At the scale of thousands of racks, those manufacturing improvements can materially influence deployment schedules. NVIDIA also previewed its next-generation Vera Rubin Ultra architecture, designed to interconnect 576 GPUs using an advanced NVLink fabric with co-packaged optics. Open Data Center and Grid Resilience Specifications For data center developers and operators, however, NVIDIA’s most consequential OCP contributions may lie outside the computing rack. NVIDIA, AMD, Google and Meta have published an Open Data Center Specification, currently at version 0.7, intended to establish common design principles for AI factory facilities. The specification addresses power architecture, cooling infrastructure and physical layout, helping equipment suppliers and developers coordinate around shared infrastructure requirements. That shared facilities work unfolds alongside vendor-specific programs such as NVIDIA’s DSX Ready, which establishes qualification requirements for battery energy storage and liquid cooling equipment supporting its AI factory designs. NVIDIA also joined Google, Meta and Microsoft in publishing an OCP Grid Resilience Specification addressing the behavior of large AI installations during grid disturbances. The specification establishes expectations for facilities to remain connected, respond automatically to disturbances and recover toward normal operating

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NetBox Labs adds network design templates and AI agents to streamline infrastructure operations

“This is infrastructure, and so if an agent does the wrong thing, it breaks the company,” Beevers said. NetBox Designs turns repeatable infrastructure into templates AI data centers are full of racks that are almost all identical in design. Teams do not want to lay out each one by hand. The same applies to a retail chain with small, medium, and large store formats, where the IT footprint needs to line up. NetBox Designs, now in public preview, targets that repetition. Designs work like “templatized Lego bricks for infrastructure,” Beevers said. A team defines a site, rack or IP plan once and sets its parameters. NetBox then renders the plan as many times as needed, down to the low-level components and their configuration. That includes assigning IP addresses, prefixes, and virtual LANs across a fabric. The goal is to speed design down to the component level, reduce manual error and compress time to market.

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AMD unveils Helion as agentic AI fuels demand for data center CPUs

AMD has introduced Helion, an open blueprint for data center racks that aims to give CPUs a larger role in running AI agents while allowing customers to configure GPU resources around their inference requirements. Based on Open Compute Project (OCP) specifications, the architecture supports different combinations of computing hardware. AMD cited examples including CPU-only racks for hyperscalers, powered by sixth-generation EPYC processors with up to 32,768 cores, and all-in-one enterprise racks accommodating up to 16 Instinct MI350P GPUs. AMD has listed networking bandwidth of up to 102 Tbps for Helion, although the company has not specified how that figure is calculated. The specification represents a planned rack capability rather than demonstrated performance in customer environments.

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Microsoft will invest $80B in AI data centers in fiscal 2025

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

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John Deere unveils more autonomous farm machines to address skill labor shortage

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

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2025 playbook for enterprise AI success, from agents to evals

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

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

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

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