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Qualcomm unveils AI chips for PCs, cars, smart homes and enterprises

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Qualcomm unveiled AI technologies and collaborations for PCs, cars, smart homes and enterprises at CES 2025. At the big tech trade show in Las Vegas, Qualcomm Technologies showed how it’s using AI capabilities in its chips […]

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Qualcomm unveiled AI technologies and collaborations for PCs, cars, smart homes and enterprises at CES 2025.

At the big tech trade show in Las Vegas, Qualcomm Technologies showed how it’s using AI capabilities in its chips to drive the transformation of user experiences across diverse device categories, including PCs, automobiles, smart homes and into enterprises.

The company unveiled the Snapdragon X platform, the fourth platform in its high-performance PC portfolio, the Snapdragon X Series, bringing industry-leading performance, multi-day battery life, and AI leadership to more of the Windows ecosystem. Qualcomm has talked about how its processors are making headway grabbing share from the x86-based AMD and Intel rivals through better efficiency. Qualcomm’s neural processing unit gets about 45 TOPS, a key benchmark for AI PCs.

The Snapdragon X family of AI PC processors.

Additionally, Qualcomm Technologies showcased continued traction of the Snapdragon X Series, with over 60 designs in production or development and more than 100 expected by 2026.

Snapdragon for vehicles

Qualcomm demoed chips that are expanding its automotive collaborations. It is working with Alpine, Amazon, Leapmotor, Mobis, Royal Enfield, and Sony Honda Mobility, who look to Snapdragon Digital Chassis solutions to drive AI-powered in-cabin and advanced driver assistance systems (ADAS).

Qualcomm also announced continued traction for its Snapdragon Elite-tier platforms for automotive,
highlighting its work with Desay, Garmin, and Panasonic for Snapdragon Cockpit Elite. Throughout the show, Qualcomm will highlight its holistic approach to improving comfort and focusing on safety with demonstrations on the potential of the convergence of AI, multimodal contextual awareness, and cloud
based services.

Attendees will also get a first glimpse of the new Snapdragon Ride Platform with integrated automated driving software stack and system definition jointly developed with BMW.

Smart home 2.0

The La Jolla, California-based company also showcased new AI chatbots integrated into appliances, advanced smart TVs, humanoid robots, and more. Qualcomm envisions 2025 as the start of “Smart Home 2.0,” with significant advancements coming from the integration of generative AI into products at the edge. The company featured devices with high-powered processors capable of handling complex AI tasks independently, enhancing user interaction and device functionality.

And it announced the next evolution of the Qualcomm Aware Platform, a cloud-based service that empowers enterprises to equip their devices with location, visibility, and monitoring capabilities to enable
the development of IoT solutions that meet specific needs and challenges of consumers and businesses
across a wide range of industries, including logistics, retail, energy, smart home, robotics and more.

Qualcomm AI On-Prem Appliance Solution

Qualcomm also highlighted the Qualcomm AI On-Prem Appliance Solution, an on-premise desktop or wall mounted hardware solution, and Qualcomm Cloud AI Inference Suite, a set of software and services for AI inferencing spanning from near-edge to cloud. The combination of these new offerings allows for small and medium businesses, enterprises and industrial organizations to run custom and off-the-shelf AI applications on their premises, including generative workloads. Running AI inference on premises can deliver significant savings in operational costs and overall total cost of ownership, compared to the cost of renting third-party AI infrastructure.

The Qualcomm Booth will be at #5000 in West Hall of LVCC with demos.

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Sysadmins ready for AI, but skepticism abounds

The report shows that AI is being deployed typically in high-volume, repetitive tasks. Troubleshooting and log analysis lead the way, with 41% and 35% of sysadmins, respectively, reporting use of AI in those areas—up significantly from 2024. Respondents reported that the following tasks are most likely to be automated with

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Unexpected costs drive on-premises computing

“This reversal challenges the assumption that cloud is always the end goal, and highlights growing concerns about cost predictability, control, and performance in shared cloud environments,” MacDonald told Network World. The survey found 86% of IT professionals report that their organizations currently use dedicated servers, with government (93%), information technology

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CISPE seeks to annul Broadcom’s VMware takeover

However, Forrester Research Senior Analyst Dario Maisto said, “Broadcom VMware commercial practices have been under the lenses for quite some time now. While we may agree or disagree with the European Commission’s decision to approve Broadcom’s acquisition of VMware, the fact is that a number of European organizations are suffering from

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CompTIA updates Linux+ certification

CompTIA has updated its Linux+ certification exam to include new and expanded content on artificial intelligence, automation, cybersecurity, DevOps, infrastructure as code (IaC), scalability, and systems troubleshooting. The Linux+ V8 certification validates IT professionals’ abilities to manage, secure, automate, and troubleshoot Linux systems in cloud and hybrid environments, according to

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FERC orders changes to PJM’s grid interconnection process, plus 3 other open meeting takeaways

The PJM Interconnection must make significant changes to its plan for meeting the Federal Energy Regulatory Commission’s grid interconnection requirements, the agency said in a decision released Thursday. The issue centers on FERC’s Order 2023, which set baseline requirements for grid interconnection rules. It requires a “first-ready, first-served” cluster study approach and made other reforms intended to cut down the interconnection backlog. The rule also set deadlines for regional transmission organizations and other transmission providers to complete interconnection studies, and imposed penalties for missing those deadlines. PJM had said that its existing interconnection process, which FERC approved in November 2022, met the requirements of Order 2023. But in its decision this week, FERC said that while parts of PJM’s process complies with Order 2023, the grid operator must revise others. FERC gave PJM 60 days to propose changes to its interconnection rules. Some of them include: Striking language that says PJM must only make “reasonable efforts” to meet certain deadlines; Describing how network and substation upgrade study costs will be allocated; Explaining how network system upgrade costs will be shared; Requiring transmission owners to use operating assumptions in their interconnection studies that reflect the planned charging behavior of battery storage projects; and, Requiring that interconnection studies include an evaluation of grid-enhancing technologies. FERC’s order comes amid a spike in PJM’s capacity costs, which reflect tight supply and demand conditions in its footprint in 13 Mid-Atlantic and Midwest states, and the District of Columbia. One of the first steps in building new power supplies is successfully passing through a grid operator’s interconnection process. PJM has paused its review of new interconnection requests as it works through a backlog of interconnection requests. The grid operator expects to begin using its reformed process to start evaluating new requests next year. PJM has approved about 46 GW

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Deep Isolation Raises Funds to Use Oil Drilling Tech for Nuclear Waste

A nuclear technology startup raised $33 million in a private placement to test its system for storing radioactive waste deep underground.  Deep Isolation Nuclear Inc. uses drilling techniques developed for fracking by the oil and natural gas industry to dig boreholes where it can deposit spent nuclear fuel rods. The Berkeley, California-based company says its technology is nearly ready for use, though it has yet to fully test the system and still needs regulatory approval.  Interest in nuclear power is skyrocketing as the world’s electricity needs increase, particularly to power artificial intelligence. While the technology doesn’t emit carbon dioxide, disposing of the deadly waste it creates remains a vexing challenge. Reactors typically rely on nearby, surface storage sites for old fuel, which isn’t a long-term solution and comes with national security and safety risks. Plans for a centralized, underground US repository stalled after years of local opposition, and Deep Isolation Chief Executive Officer Rod Baltzer said his approach offers a needed alternative.  “There’s been a recognition that boreholes could play a role in disposal,” he said in an interview. “The technology is there. It’s ready to be deployed.” Existing investor NAC International, along with new backers including Segra Capital Management, participated in the private placement, according to a statement Thursday. Deep Isolation also completed a merger with Aspen-1 Acquisition Inc., a transaction that will let it become a publicly traded company. Baltzer said its shares will be available to trade in the coming months.  Deep Isolation has tested a small-scale version of its system, burying and then retrieving a three-foot cannister — it wasn’t filled with waste — about 670 meters (2,200 feet) below the surface. In commercial deployments, Baltzer said he expects to drill about 1 kilometer to 1.5 kilometers (0.6 miles to 0.9 miles) below the surface, then use directional drilling technology to extend the hole laterally about

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Supertanker Hauling Saudi Diesel Heads to Europe

A supertanker carrying a cargo of diesel from the Middle East is en route to the fuel-starved European market, reflecting supply tightness in the region. The VLCC Nissos Keros loaded about 2 million barrels of ultra-low sulfur diesel from Saudi Arabia’s Jubail terminal and is currently signaling France where it’s due to arrive Aug. 30, according to Kpler and ship-tracking data compiled by Bloomberg. The vessel, which usually transports crude oil, was re-configured to carry diesel. Cargoes of the fuel would typically be carried on smaller tankers, but with freight rates elevated after the latest attacks on shipping in the Red Sea, operators have an incentive to clean up dirty tankers to haul products instead and reap the economies of scale. Europe’s diesel market remains under pressure, driven by a combination of lower refinery output, costly rerouting of imports to replace shunned Russian supplies and sanctions-related uncertainty. The arrival of a large shipment may provide temporary relief, but dependence on long-haul imports continues to expose the European market to spikes in freight costs and supply volatility. WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of Rigzone. All comments are subject to editorial review. Off-topic, inappropriate or insulting comments will be removed.

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Oil Slips on Stronger Dollar, Trade Doubts

Oil fell as the dollar strengthened and conviction waned that the US will reach agreements with key trade partners ahead of a deadline next week. West Texas Intermediate crude slid more than 1% to settle near $65 a barrel after President Donald Trump said the US has a 50-50 chance of striking a trade deal with Europe, a contrast to the optimism the bloc’s diplomats expressed this week. Trump also said most tariff rates are essentially settled now. The effective US tariff rate is at the highest in a century, by some estimates, a potential threat to energy demand. In another headwind, Trump indicated he had no plans to fire Federal Reserve Chair Jerome Powell, boosting the dollar and making the commodities priced in the currency less attractive. Crude has remained in a holding pattern this month, but is down for the year as increased supply from OPEC+ adds to concerns of a looming glut. The group will next meet on Aug. 3 to decide on production levels. On Thursday, one member, Venezuela, was given a production reprieve by a US decision to let Chevron resume pumping oil in the country. “We expect crude to slowly sell off this fall, driven by steady acceleration of stock builds, softening physical markets, reduced refinery margin support and continued deescalation of geopolitically driven supply risk,” Macquarie Group analysts including Vikas Dwivedi wrote in a note. Oil Prices WTI for September delivery fell 1.3% to settle at $65.16 a barrel. Brent for September settlement slipped 1.1% to $68.44 a barrel. What do you think? We’d love to hear from you, join the conversation on the Rigzone Energy Network. The Rigzone Energy Network is a new social experience created for you and all energy professionals to Speak Up about our industry, share knowledge, connect with

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BP to Exit $36B Australian Green Hydrogen Hub

BP Plc will exit its role in a massive green hydrogen production facility planned in Australia as the British oil major refocuses on the fossil fuels that drive its profits.  The company told its partners in the Australian Renewable Energy Hub that it plans to leave the project as both operator and equity holder, according to a statement from a BP spokesperson. It’s the latest setback for green hydrogen, a fuel once touted as a key way for Big Oil to profit from the energy transition that has so far proved too costly for mass production and consumption.  The AREH project company will take over as operator over coming months with support from founding partner InterContinental Energy, according to an AREH spokesperson. BP’s decision to exit the project doesn’t reflect the opportunity the hub presents to decarbonize the Pilbara and support the creation of a green iron industry, they said.  BP’s entry into the project – once estimated to cost about $36 billion – came at a time when the company sought to rapidly build up a business in low-carbon energy and shrink its oil business. But after years of stock under-performance compared with its peers and the departure of the plan’s architect – Chief Executive Officer Bernard Looney – BP has refined its strategy to focus more squarely on profits than green goals.  The company is far from alone in leaving its ambitions for green hydrogen behind. Scores of companies that once saw the fuel as the next big thing in energy have cut back plans as hoped for cost declines failed to materialize. Also on Thursday, Fortescue Ltd. said it would abandon plans for a $550 million Arizona Hydrogen Project in the US and a $150 million PEM50 Project in Gladstone, Australia – resulting in a pretax writedown of $150 million. Meanwhile, Woodside

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Eni Profit Tops Estimates

Eni SpA reported profit that beat analyst estimates as proceeds from asset sales and sweeping cost cuts helped counter a weak oil market. While crude prices were lower in the second quarter — weighing on earnings at other European oil companies — Eni has been buoyed by a cost-reduction program introduced earlier this year, while asset disposals brought down debt. Adjusted net income fell 25% from a year earlier to €1.13 billion ($1.3 billion), the Italian energy company said Friday in a statement. That exceeded the €932.6 million average estimate of analysts surveyed by Bloomberg. Eni said it’s now targeting €3 billion of cost cuts this year, up from €2 billion previously. The company has also reaped billions of euros by offloading stakes in its renewables arm and mobility division, and is in talks to sell half of its carbon capture unit. “The combination of divestments set to come through this year, ongoing ‘self-help,’ as well as the additional cash flow from new ramp-ups sets Eni up for a strong second half of 2025 and 2026,” RBC Europe Ltd. analyst Biraj Borkhataria said in a note. He expects “growing free cash flow and a more resilient balance sheet than we’ve seen for many years.” The shares rose as much as 0.6% at the open in Milan, before trading little changed as of 9:08 a.m. local time. Eni confirmed plans for shareholders’ returns this year. It expects free cash flow before working capital of about €11.5 billion at $70-a-barrel crude, up from previous guidance of €11 billion. The company also raised its forecast for annual earnings from its gas division to €1 billion from €800 million. Net debt shrank to €29.1 billion at the end of June. WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of

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AI Project Stargate struggles to get off the ground

Analysts aren’t surprised at the news. “Big IT projects have a long history of dramatically overpromising and it appears that trend is quickly moving into the world of AI data center-based projects as well. The Stargate project, in particular, also seems to have more of a political bent to it than many other projects so that’s likely complicating matters as well,” said Bob O’Donnell, president and chief analyst with TECHnalysis Research. “There’s little doubt we will see massive investments by many different organizations to build out AI infrastructure here in the US, but I’m not convinced that individual projects will end up mattering that much in the long run,” he added. “I have always been skeptical about the huge number that was projected. In the hundreds of billions,” said Patrick Moorhead, CEO & chief analyst with Moor Insights & Strategy. “The only problem was that only a few billion in new funding was raised. And now there’s strife between OpenAI and SoftBank. To be fair, Oracle is part of Stargate now and OpenAI will soak up many GPUs in the Texas facility, but this was already in process when the Stargate announcement happened.”

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Storage vendors bring record capacity devices to handle massive data generation

Both are built on Seagate’s Mozaic3+ with advanced storage technology called HAMR, or Heat-Assisted Magnetic Recording. By heating the platter to as much as 500°C, they can squeeze up to 3TB per platter. Other than that, it looks like a standard hard drive: 3.5-inch enclosure, 7,200 RPM spin rotation, and SATA III interface with 6Gbps/s transfer speeds. The drivers are available now and are rather affordable. The 30TB Exos is just $599 on NewEgg.com. On the enterprise solid state drive (SSD) front, KIOXIA America has expanded its high-capacity KIOXIA LC9 Series enterprise SSD lineup with the introduction of a 245.76TB NVMe SSD. The drive comes in a 2.5-inch and Enterprise and Datacenter Standard Form Factor (EDSFF) E3.L form factor and is purpose-built for the performance and efficiency demands of generative AI environments.

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Technology is coming so fast data centers are obsolete by the time they launch

 Tariffs aside, Enderle feels that AI technology and ancillary technology around it like battery backup is still in the early stages of development and there will be significant changes coming in the next few years. GPUs from AMD and Nvidia are the primary processors for AI, and they are derived from video game accelerators. They were never meant for use in AI processing, but they are being fine-tuned for the task.  It’s better to wait to get a more mature product than something that is still in a relatively early state. But Alan Howard, senior analyst for data center infrastructure at Omdia, disagrees and says not to wait. One reason is the rate at which people that are building data centers is all about seizing market opportunity.” You must have a certain amount of capacity to make sure that you can execute on strategies meant to capture more market share.” The same sentiment exists on the colocation side, where there is a considerable shortage of capacity as demand outstrips supply. “To say, well, let’s wait and see if maybe we’ll be able to build a better, more efficient data center by not building anything for a couple of years. That’s just straight up not going to happen,” said Howard. “By waiting, you’re going to miss market opportunities. And these companies are all in it to make money. And so, the almighty dollar rules,” he added. Howard acknowledges that by the time you design and build the data center, it’s obsolete. The question is, does that mean it can’t do anything? “I mean, if you start today on a data center that’s going to be full of [Nvidia] Blackwells, and let’s say you deploy in two years when they’ve already retired Blackwell, and they’re making something completely new. Is that data

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‘Significant’ outage at Alaska Airlines not a security incident, but a hardware breakdown

The airline told Network World that when the critical piece of what it described as “third-party multi-redundant hardware” failed unexpectedly, “it impacted several of our key systems that enable us to run various operations.” The company is currently working with its vendor to replace the faulty equipment at the data center. The airline has cancelled more than 150 flights since Sunday evening, including 64 on Monday. The company said additional flight disruptions are likely as it repositions aircraft and crews throughout its network. Alaska Airlines emphasized that the safety of its flights was never compromised, and that “the IT outage is not related to any other current events, and it’s not connected to the recent cybersecurity incident at Hawaiian Airlines.” The airline did not provide additional information to Network World about the specifics of the outage. “There are many redundant components that can fail,” said Roberts, noting that it could have been something as simple as a RAID array (which combines multiple physical data storage components into one or more logical units). Or, on the network side, it could have been the failure of a pair of load balancers. “It’s interesting that redundancy didn’t save them,” said Roberts. “Perhaps multiple pieces of hardware were impacted by the same issue, like a firmware update. Or, maybe they’re just really unlucky.”

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Cisco upgrades 400G optical receiver to boost AI infrastructure throughput

“In the data center, what’s really changed in the last year or so is that with AI buildouts, there’s much, much more optics that are part of 400G and 800G. It’s not so much using 10G and 25G optics, which we still sell a ton of, for campus applications. But for AI infrastructure, the 400G and 800G optics are really the dominant optics for that application,” Gartner said. Most of the AI infrastructure builds have been for training models, especially in hyperscaler environments, Gartner said. “I expect, towards the tail end of this year, we’ll start to see more enterprises deploying AI infrastructure for inference. And once they do that, because it has an Nvidia GPU attached to it, it’s going to be a 400G or 800G optic.” Core enterprise applications – such as real-time trading, high-frequency transactions, multi-cloud communications, cybersecurity analytics, network forensics, and industrial IoT – can also utilize the higher network throughput, Gartner said. 

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Supermicro bets big on 4-socket X14 servers to regain enterprise trust

In April, Dell announced its PowerEdge R470, R570, R670, and R770 servers with Intel Xeon 6 Processors with P-cores, but with single and double-socket servers. Similarly, Lenovo’s ThinkSystem V4 servers are also based on the Intel Xeon 6 processor but are limited to dual socket configurations. The launch of 4-socket servers by Supermicro reflects a growing enterprise need for localized compute that can support memory-bound AI and reduce the complexity of distributed architectures. “The modern 4-socket servers solve multiple pain points that have intensified with GenAI and memory-intensive analytics. Enterprises are increasingly challenged by latency, interconnect complexity, and power budgets in distributed environments. High-capacity, scale-up servers provide an architecture that is more aligned with low-latency, large-model processing, especially where data residency or compliance constraints limit cloud elasticity,” said Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research. “Launching a 4-socket Xeon 6 platform and packaging it within their modular ‘building block’ strategy shows Supermicro is focusing on staying ahead in enterprise and AI data center compute,” said Devroop Dhar, co-founder and MD at Primus Partner. A critical launch after major setbacks Experts peg this to be Supermicro’s most significant product launch since it became mired in governance and regulatory controversies. In 2024, the company lost Ernst & Young, its second auditor in two years, following allegations by Hindenburg Research involving accounting irregularities and the alleged export of sensitive chips to sanctioned entities. Compounding its troubles, Elon Musk’s AI startup xAI redirected its AI server orders to Dell, a move that reportedly cost Supermicro billions in potential revenue and damaged its standing in the hyperscaler ecosystem. Earlier this year, HPE signed a $1 billion contract to provide AI servers for X, a deal Supermicro was also bidding for. “The X14 launch marks a strategic reinforcement for Supermicro, showcasing its commitment

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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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