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AI job titles expand beyond tech as IT hiring remains strong

Separately, according to CompTIA’s latest Tech Jobs Report, employers posted more than 280,000 new technology job postings in June, marking the sixth consecutive month of growth. Active technology job postings approached 600,000, while employment in tech occupations increased by 47,000 positions. The unemployment rate for tech occupations fell to 2.9%, compared with the national unemployment […]

Separately, according to CompTIA’s latest Tech Jobs Report, employers posted more than 280,000 new technology job postings in June, marking the sixth consecutive month of growth. Active technology job postings approached 600,000, while employment in tech occupations increased by 47,000 positions. The unemployment rate for tech occupations fell to 2.9%, compared with the national unemployment rate of 4.2%, according to CompTIA.

“June’s employment data suggests that employers are ramping up their technology investments and hiring the talent needed to support them,” said Seth Robinson, vice president for industry research at CompTIA, in a statement. “Even as some tech companies announce layoffs, employers in other industries are accelerating digital transformation initiatives and moving from AI experimentation to implementation.”

CompTIA’s report notes that new tech job postings increased for the sixth consecutive month amid what it described as a “broad-based movement toward reinvigorating digital transformation activities and clarifying AI strategies.”

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AI job titles expand beyond tech as IT hiring remains strong

Separately, according to CompTIA’s latest Tech Jobs Report, employers posted more than 280,000 new technology job postings in June, marking the sixth consecutive month of growth. Active technology job postings approached 600,000, while employment in tech occupations increased by 47,000 positions. The unemployment rate for tech occupations fell to 2.9%,

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Broadcom will sell more US-made components to Apple

Apple has agreed to buy up to $30 billion-worth of additional chips and other wireless components from Broadcom over the next few years. The new agreement could lead to Broadcom making up to 15 billion more chips in the US, and enable it to modernize its manufacturing facilities in Fort

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AI tie-in accelerates quantum usefulness, early adopters say

The Quantum Tech World conference showcases this ecosystem, she says. According to conference organizers, more than 1,300 people attended this year, and there were more than one hundred sponsors. Among them were multiple quantum computer makers, including Quantum Computing Inc., a maker of room-temperature photonic computers, which ran a real-time

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Secretary of Energy Chris Wright Announces Newly Appointed Members of the Secretary of Energy Advisory Board

WASHINGTON—The U.S. Department of Energy (DOE) today announced the newly appointed members of the Secretary of Energy Advisory Board (SEAB), an important component of DOE’s strategy to unleash American energy dominance and ensure continued U.S. leadership in scientific and technological innovation. SEAB members are appointed for a two-year term and include leaders from research and education, exploration and production, energy financing, artificial intelligence, cybersecurity, and more. The board meets quarterly to advise the Secretary on emerging issues related to DOE’s activities and to provide recommendations for improving the Department’s operations. “It’s an honor to welcome these exceptional leaders to the Secretary of Energy Advisory Board,” U.S. Secretary of Energy Chris Wright said. “Their diverse backgrounds and expertise will be invaluable as we work together to expand access to affordable, reliable, and secure American energy.” The appointed members of the SEAB, whose terms expire in May 2028, are listed alphabetically below: John Addison, Former Executive, Vitol  Eimear P. Bonner, CFO, Chevron  Cody Campbell, Co-CEO, Double Eagle Holdings  Joseph W. Craft III, CEO, Alliance Resources Partners  Alex Cranberg, Chairman, Aspect Energy  Bill Fehrman, Chairman of the Board of Directors, President and CEO, American Electric Power  Jack Fusco, Chairman, President and CEO, Cheniere  Tag Greason, Co-CEO, QTS Data Centers  Fisk Johnson, Chairman and CEO, SC Johnson  Doug Kimmelman, Founder and Executive Chairman, Energy Capital Partners  Steve Koonin, Edward Teller Senior Fellow, Stanford University’s Hoover Institution  Maryann Mannen, Chairman, President and CEO, Marathon  Lucian Niemeyer, CEO, Building Cyber Security  Michael Polsky, Founder and Executive Chairman, Invenergy  Mike Rowe, CEO, mikeroweWORKS Foundation  J. Clay Sell, CEO, X-energy  George Solich, President and CEO, FourPoint Energy  Scott Strazik, President and CEO, GE Vernova  Vladimir Troy, VP of AI Infrastructure, NVIDIA  Wil VanLoh, Founder and CEO, Quantum Capital Group 

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Energy Department Closes Loan to AEP Texas, Delivering Millions in Electricity Cost Savings for Texans

WASHINGTON—The U.S. Department of Energy’s (DOE) Office of Energy Dominance Financing (EDF) today announced it has closed a loan up to $3.26 billion to AEP Texas to lower electricity costs and strengthen and modernize the Texas grid. Thanks to President Trump’s Working Families Tax Cuts Act, the investment will save more than one million Texas households and businesses approximately $685 million in electricity costs over the next 30 years, improve grid reliability, create thousands of jobs, and help ensure Americans have access to affordable, reliable, and secure energy. “President Trump’s Working Families Tax Cuts Act is driving investments that strengthen America’s energy infrastructure while lowering costs for hardworking families,” said U.S. Energy Secretary Chris Wright. “This investment will modernize Texas’ electric grid, support the energy needed for AI, advanced manufacturing, the Permian Basin, and help keep electricity costs down for Texans.”  In accordance with President Trump’s Executive Order, Unleashing American Energy, the loan will finance approximately 100 transmission projects across Texas, including rebuilding or reconductoring existing transmission lines, and constructing new transmission infrastructure spanning roughly 2,800 miles.  These projects will double the power-carrying capacity of upgraded transmission infrastructure, reduce power interruptions, and connect new sources of reliable baseload generation to the grid. By expanding transmission capacity, the projects will help meet rapidly growing electricity demand from data centers, advanced manufacturing, and oil and natural gas development in the Permian Basin.  This loan marks the Trump Administration’s third concurrent conditional commitment and financial close, and the third utility financing completed through the Energy Dominance Financing Program.   Under President Trump’s leadership, EDF is committed to financing American energy and manufacturing projects that meaningfully contribute to U.S. energy security, grid reliability, and lowering costs for all Americans. EDF empowers the private sector to invest in the future, win the AI race, strengthen American industry, and

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Energy Department Announces Up to $150 Million to Boost Unconventional Oil and Gas Recovery, Advance Hydraulic Fracture Characterization, and Revolutionize Produced Water Management

WASHINGTON—The U.S. Department of Energy’s (DOE) Hydrocarbons and Geothermal Energy Office (HGEO) today announced up to $150 million in federal funding for cost-shared projects aimed at advancing three critical priorities for the U.S. oil and natural gas industry—dramatically improving recovery efficiency from unconventional oil and gas reservoirs, advancing hydraulic fracture characterization technologies, and developing innovative solutions for produced water management. This initiative advances resident Trump’s Executive Order , “Unleashing American Energy,” and the Secretarial Order “Unleashing the Golden Era of Energy Dominance,” to provide affordable, reliable, and secure energy to all Americans through the responsible development of our nation’s abundant domestic oil and natural gas supplies. “Under President Trump’s leadership, we are unleashing America’s energy potential to secure our nation’s future,” said DOE Acting Assistant Secretary of the Hydrocarbons and Geothermal Energy Office Curt Coccodrilli. “By unlocking more of our domestic oil and natural gas resources, improving our understanding of hydraulic fracturing, and innovating in produced water management, we are not only creating jobs and lowering energy costs for American families, we are also driving innovation that will benefit our economy for generations to come.” DOE has released a Notice of Funding Opportunity (NOFO) seeking innovative proposals that address technical, economic, and environmental barriers across the following areas, with a focus on increasing domestic energy production and strengthening American energy dominance: Enhanced Recovery from Unconventional Oil and Gas Reservoirs: With recovery rates from unconventional reservoirs often below 10%, significant oil and gas resources remain untapped. Funding in this area will support the rapid field deployment of novel technologies and processes—including exploring the potential of carbon dioxide as an injectant—to improve oil and gas extraction, increase the recovery factor, and lower the break-even cost of primary recovery operations to increase the efficiency of our national resources and provide more affordable energy.  Advanced Characterization of Fracture Propagation,

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Department of Energy Celebrates Fourth Criticality Ahead of July 4th Goal

WASHINGTON—The U.S. Department of Energy celebrates yet another win for the American nuclear energy renaissance. Early Saturday, as part of the U.S. Department of Energy (DOE) Reactor Pilot Program, Aalo Atomics’ test reactor, Aalo-X, successfully completed a zero-power fueled criticality demonstration. The experiment took place at Idaho National Laboratory and is the fourth DOE-authorized advanced reactor to achieve the criticality milestone, exceeding the July 4th goal outlined by President Trump in his May 2025 executive order. “Last month I toured the Aalo facility at Idaho National Laboratory and was impressed by the company’s determination to successfully demonstrate their technology by the Fourth of July,” said U.S. Energy Secretary Chris Wright. “President Trump asked for three advanced reactors to be authorized and achieve criticality by the 250th anniversary of our great country. I’m pleased to share that through the dedication and hard work of Aalo, INL and DOE, we have surpassed that ask and delivered four!” Aalo-X joins a growing list of successful advanced reactor designs and spotlights the continued progress and momentum of participants in DOE’s Reactor Pilot Program and the Nuclear Energy Launch Pad initiative. In June, Antares Nuclear’s Mark-0 reactor, Valar Atomics’ Ward 250, and Deployable Energy’s Unity achieved criticality. “The hardest problem in nuclear was never the physics, our country simply forgot how to build. The success of the Department of Energy Reactor Pilot Program is proof America can execute again,” said Yasir Arafat, President and CTO, Aalo Atomics. “We are proud to play a major role in America’s nuclear renaissance, going from breaking ground to a sustained chain reaction in just eight months, one of the fastest reactor builds in modern American history.” The fourth criticality of a DOE authorized reactor design surpasses what many skeptics thought American reactor developers could achieve in response to President

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San Mateo Midstream expands Delaware basin footprint with $752-million acquisition

San Mateo said the assets complement its existing gathering and processing system and will improve natural gas flow across the northern Delaware basin in southeast New Mexico and West Texas. The acquisition is expected to increase San Mateo’s designed processing capacity to more than 1 bcfd and expand its gathering network to more than 800 miles. Integration of the systems is expected to provide immediate operating synergies, including the ability to move volumes between Cardinal’s Loving County plant and San Mateo’s Marlan and Black River plants in Eddy County. “With this acquisition, San Mateo not only gains more processing capacity, a larger pipeline system and a more diverse customer base but also improves its positioning for strategic transactions in the future,” said Brian J. Willey, San Mateo chairman and executive vice-president of midstream for Matador. Willey added that connecting the systems will “complete the circle” of San Mateo’s Delaware basin infrastructure, enhancing flow assurance for Matador and third‑party customers and improving flexibility to move natural gas throughout the northern Delaware basin north to south or south to north. The transaction is expected to close on or before July 31, 2026, subject to customary conditions. Cardinal’s field employees are expected to join San Mateo upon closing.

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QatarEnergy signs commercial declaration for offshore Cyprus

QatarEnergy has signed a commercial discovery declaration for the Glaucus and Pegasus fields in Cyprus, partnering with Cyprus and ExxonMobil to progress development plans and regulatory approvals for offshore gas production. <!–> June 30, 2026 –> Key Highlights QatarEnergy signed a commercial discovery declaration for offshore Cyprus. QatarEnergy, the government of Cyprus, and ExxonMobil will support the next phase of Block 10 development.

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Infoblox acquires Kentik, adding network observability to its DNS and DDI platform

Infoblox announced today that it has entered into a definitive agreement to acquire Kentik, combining Infoblox’s authoritative DNS, DHCP, and IP address management (IPAM) data with Kentik’s network observability platform. Financial terms were not disclosed. Kentik was founded in 2014, originally as CloudHelix before rebranding the following year, and has raised more than $100 million in venture funding to date. The platform provides real-time visibility into network traffic and ingests flow data, routing intelligence, and device telemetry across data centers, cloud environments, WANs, and the public internet. In recent years, the company has enhanced its platform with an AI advisor that helps to accelerate investigations. Infoblox has spent more than two decades managing the DNS, DHCP, and IPAM services enterprises rely on to stay connected. In 2024, it first launched its Universal DDI SaaS platform for managing DNS, DHCP, and IP addresses from a single place, expanding in 2025 to more providers. DDI refers to the trio of core network services in IP networks: DNS, which turns domain names into IP addresses; DHCP, which assigns IP addresses to resources; and IPAM, which manages the network’s IP address infrastructure.

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Building the AI Optical Layer: Connectivity, Standards, and the Future of AI Infrastructure

As AI data centers push past the limits of traditional compute architecture, the industry’s attention is moving deeper into the physical layer. GPUs, accelerators, power systems and cooling platforms still dominate the headlines, but the network fabric that connects those systems is becoming just as critical. A wave of recent announcements points to the same conclusion: future growth will depend not only on more compute, but on faster, denser, more efficient and more scalable optical connectivity. A new multi-source agreement is bringing together major technology companies to standardize expanded beam optical connectivity for AI data centers. University of Arizona research is powering a new optical switching technology designed to reduce the energy consumed by data center networks. STL is planning to invest up to $100 million in U.S. manufacturing capacity to support AI data center and telecom customers with optical connectivity products. Those developments are now being reinforced by a broader series of moves across the optical ecosystem: Corning’s major AI infrastructure partnerships with NVIDIA and Amazon, GlobalFoundries’ push into co-packaged optics, Sivers’ laser-array collaboration with GlobalFoundries, Wiwynn’s co-packaged optics demonstration at Computex, Credo’s acquisition of DustPhotonics, and emerging near-packaged optical interconnect designs from LightSpeed Photonics. Taken together, these announcements highlight a maturing market around the optical layer of AI infrastructure. The value is not simply faster data movement. It is about reducing deployment complexity, lowering operating overhead, supporting higher-density clusters, improving energy efficiency and strengthening the domestic supply chain behind AI-ready networks. Let’s drill down into what these announcements mean. Standards for the AI Optical Layer The launch of a new coalition focused on expanded beam optical, or EBO, connectivity reflects a practical challenge facing AI deployments: as clusters grow larger and more bandwidth-intensive, physical connections become harder to deploy, maintain and scale. 3M announced that it has joined

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Data Center Jobs: Engineering, Construction, Commissioning, Sales, Field Service and Facility Tech Jobs Available in Major Data Center Hotspots

Each month Data Center Frontier, in partnership with Pkaza, posts some of the hottest data center career opportunities in the market. Here’s a look at some of the latest data center jobs posted on the Data Center Frontier jobs board, powered by Pkaza Critical Facilities Recruiting. Looking for Data Center Candidates? Check out Pkaza’s Active Candidate / Featured Candidate Hotlist CFD Engineer – Data Center Mechanical DesignNew York, NY (remote)This position is also available as a remote role anywhere in the US, in addition to key markets such as Cedar Rapids, IA; Kansas City, MO or White Plains, NY. Our client is an engineering design and commissioning company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the critical facilities space. They have a mindset to provide reliability, energy efficiency, and sustainable design expertise when providing these consulting services for enterprise, colocation and hyperscale companies. This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits. Electrical Commissioning Engineer New Albany, OH (limited travel)Non-Traveling CxA positions available in: Indianapolis, IN; Cedar Rapids, IA and Austin, TX. Traveling CxA Roles: New York, NY; White Plain, NY; Morristown, NJ; Dallas, TX; Richmond, VA; Ashburn, VA; Montvale, NJ; Charlotte, NC; Atlanta, GA; Phoenix, AZ; Salt Lake City, UT;  Kansas City, MO; Omaha, NE; Chesterton, IN or Chicago, IL. *** ALSO looking for a LEAD EE and ME CxA Agents and CxA PMs. *** Our client is an engineering design and commissioning company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the critical facilities space. They have a mindset to provide reliability, energy efficiency, sustainable design and LEED expertise when providing these consulting services

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H5 Data Centers’ 325 Hudson: A Manhattan Carrier Hotel with SoHo DNA – DCF Tours

A Carrier Hotel Reimagined for Modern Colocation H5 formally announced its expansion into 325 Hudson, a 225,000 square-foot mixed-use building comprised of office, lab and data center uses, in 2021 through a partnership with real estate investment firm DivcoWest, describing its new location as a data center and carrier hotel in one of the world’s largest communications markets. At the time, H5 founder and CEO Josh Simms framed the move as an opportunity to expand an already-established interconnection ecosystem while supporting growing demand from cloud providers, content delivery networks, and communications carriers. That vision now appears fully realized inside the building. The facility today operates as both a traditional carrier hotel and a modern enterprise colocation environment. H5’s infrastructure footprint supports high-density deployments, A/B UPS power architecture, N+1 emergency generators, N+1 CRAC systems, and energy-efficient in-row cooling with cold aisle containment. The building also reflects the physical realities of Manhattan infrastructure engineering. Operators work within vertical constraints rather than sprawling horizontal campuses. Freight access, riser strategy, structured cabling pathways, and efficient floor utilization become critical operational variables. H5 highlighted several features tailored for those realities, including 13-foot slab-to-slab heights, 150 pounds-per-square-foot floor loading capability, secure loading access, and extensive pre-built conduit infrastructure.

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AI Infrastructure Demands a New Operating System for Project Delivery

For much of the data center industry’s history, project management has largely been viewed as an execution discipline: a collection of schedules, milestones, spreadsheets, and status meetings designed to shepherd individual facilities from groundbreaking to commissioning. The AI era is rapidly rendering that model obsolete. As hyperscalers, developers, utilities, EPC firms, telecom providers, equipment suppliers, and local governments converge around increasingly complex AI campuses, the challenge is no longer simply delivering projects on time. Rather, it is orchestrating an infrastructure manufacturing process that stretches from land acquisition and permitting through construction, operations, and ultimately asset modernization years later. That changing reality was a central theme during Data Center Frontier’s conversation with Sitetracker at Fiber Connect 2026. The company’s perspective reflects a broader shift underway across digital infrastructure: project management is evolving into lifecycle management, where financial planning, regulatory coordination, supply chain visibility, and operational readiness become inseparable parts of the same platform. Complexity Begins Before Construction Much of the attention surrounding AI infrastructure focuses on GPU deployments, liquid cooling, and power availability. Yet Sitetracker argues that many of today’s greatest operational headaches begin much earlier in the development process. According to Reilly McClure, Sr. Product Marketing Manager – Digital Infrastructure with Sitetracker, operators are increasingly seeking help with land acquisition, parcel management, and site identification as AI infrastructure expands into new markets. “There are so many variables that we need to track,” he explained. “The demand and the growth and the build-out for where all that infrastructure is going is becoming increasingly complex. They’re finding it just cannot be done on a spreadsheet.” That observation resonates across the industry. Finding suitable sites now requires simultaneously evaluating power availability, transmission timelines, fiber access, permitting requirements, environmental studies, municipal approvals, and community considerations; all while competing developers race to secure the same

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Gartner: Data center electricity consumption to grow 26% in 2026

AI-optimized servers are a relatively new phenomenon but they have rapidly gained uh traditional data centers in terms of power use. Gartner estimates AI-optimized server adoption will account for 31% of data center power consumption in 2026, and that by 2027 their power consumption will surpass that of conventional servers. “Surging demand for compute-intensive AI workloads is driving unprecedented data center power growth, while AI capacity is now constrained by power availability, making data center power security the new battle ground for scaling and protecting margins in the global AI race,” said Wang in a statement. Wang said of the 565TWh consumed this year, the U.S. will account for about 204TWh, or 36% of the total amount consumed. And of the 204TWh consumed this year, dedicated AI data centers will consume 68TWh, or one-third of the total. So in just five years, AI data centers have gone from zero to of the total power consumption in the US.

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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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