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2025 Renewable Energy Outlook: Full speed ahead as second Trump administration begins

The renewables industry begins 2025 with the Inflation Reduction Act continuing to spur record investment, and spiking load growth providing new opportunities for deployment. At the same time, interconnection queues across the country remain clogged, siting, permitting, financial and other challenges continue, and industry critic Donald Trump just began his second term as president. “It’s an […]

The renewables industry begins 2025 with the Inflation Reduction Act continuing to spur record investment, and spiking load growth providing new opportunities for deployment. At the same time, interconnection queues across the country remain clogged, siting, permitting, financial and other challenges continue, and industry critic Donald Trump just began his second term as president.

“It’s an interesting moment, because there is this really rapid change, and yet we’re stuck in some really key ways,” said Heather O’Neill, president and CEO of Advanced Energy United. “The interconnection queue is one really clear example where, yes, there’s some progress — FERC’s putting out reform measures — and yet we’re not unleashing the full promise and the economic opportunity and activity that we could.”

After decades of flat load growth, U.S. electricity demand could rise 128 GW over the next five years, according to a report last month from Grid Strategies. At the same time, the number of new transmission interconnection requests has risen by 300% to 500% over the last decade, with 2.5 TW of clean energy and storage capacity currently waiting to connect to the grid, said an October report from the Department of Energy.

However, O’Neill said, the “the macro trends are incredibly positive … We are in the middle of an energy transformation.” She attributed some of her optimism to the scale of investment and growth that the industry has been seeing. 

The energy storage sector is especially dynamic right now, O’Neill said: “A few years ago, [there was] very little in the way of storage capacity showing up, but with so much innovation in the technology, the cost curves are coming down. When we think about how to manage load, storage plays a key role in that.”

Global energy storage installations boomed 76% in 2024 and are projected to continue that streak in 2025, according to a November report from BloombergNEF, but BNEF noted that growth may be impacted by “uncertainties stemming from the new Trump administration.”

Trump has spoken out against electric vehicles and said he will “rescind all unspent funds under the misnamed Inflation Reduction Act.” Congress is expected to try to claw back EV tax credits from the IRA, which could impact the battery industry. Trump has also said he would end offshore wind “on day one” and embraced oil and gas generation, but vowed last month to expedite federal permits and environmental reviews for construction projects that represent an investment of $1 billion or more — a move that could benefit clean energy.

Felisa Sanchez, a partner with law firm K&L Gates’ maritime and finance practice groups, said that Trump’s goal to end offshore wind may come into conflict with his goal of boosting the U.S. economy and its domestic manufacturing. 

“It’s hard to say ‘we’re going to end offshore wind’ when you’re also impacting a vast supply chain that has already been going for the last few years that has been implemented — when ports have been developed, and vessels have started to either be under construction or have come out of the yard ready to work in offshore wind,” she said.


The need to meet load growth on the electric side is not going away. And any administration – Republican, independent, Democratic – foremost in their mind is going to be a strong resilient economy. That’s going to be dependent upon a best-in-class electric distribution grid.

Paul DeCotis

Senior partner and head of East Coast energy and utilities at West Monroe


John Northington, a government affairs advisor and a member of K&L Gates’ public policy and law practice group, said he anticipates that the offshore wind industry may adapt to the new administration by shifting away from “‘steel in water is good for the environment’ as the main message.”

“Maybe for the next four years, it’s that steel in water is good for jobs, it’s money, it’s good for America,” he said. “Talking about the business benefits, rather than environmental benefits, could be a change in trend for some of these companies.”

When speaking to Utility Dive in December, Northington said he was also hopeful about the bipartisan Energy Permitting Reform Act of 2024, sponsored by Sen. Joe Manchin, I-W.Va., and Sen. John Barrasso, R-Wyo. — but the bill was not included in the continuing resolution passed later that month, “taking permitting off the table for this Congress,” said Manchin, who retired in early January.

New demands on the grid

Regardless of how Trump’s second term shapes the U.S. generation mix, his administration will be dealing with an anticipated 3% annual average load growth over the next five years — a level which hasn’t been seen since the 1980s, according to a December report from Grid Strategies

“The need to meet load growth on the electric side is not going away. And any administration — Republican, independent, Democratic — foremost in their mind is going to be a strong resilient economy,” said Paul DeCotis, a senior partner and head of East Coast energy and utilities at West Monroe. “That’s going to be dependent upon a best-in-class electric distribution grid.”

Surging load growth is driven largely by data center demand, which a December report from Lawrence Berkeley National Laboratory found has tripled over the past decade and is projected to double or triple again by 2028. The increase in demand is also the result of industry electrification and growth in domestic manufacturing.

That growth “means continued capital investment in the [energy] industry, regardless of the administration,” DeCotis said. “I don’t think any administration is going to want to come in and all of a sudden see brownouts and blackouts and not enough capacity to meet demand, or have to stall demand and the job growth that goes with it, because they can’t meet energy needs.”

O’Neill said she believes that states will also continue to drive the clean energy transition forward, as they’re where “energy policies happen …. where the investments become real.”

State governors and commissioners “want manufacturing in their state,” she said. “They want data centers in their state. The siting reform conversation is one that I think is not a partisan conversation. It’s: how do we help unlock some of this desired economic activity? For us, the siting and building issues will be something that we’re going to work on in the states, regardless of the landscape in D.C.”


The projects that are being facilitated through [the IRA] are not isolated in blue states. For example, we’re doing projects all over the country and seeing projects work in states like Ohio and Pennsylvania that didn’t used to work.

Dan Smith

Vice president of markets at DSD Renewables


In addition to states and utilities, companies like Microsoft, Amazon and Meta are also helping to drive the demand for clean energy — investing billions in renewable energy deployment in addition to seeking nuclear and natural gas generation to handle load from their data centers.

Molly Jerrard, head of demand response at Enel North America, said she expects that in 2025, “significant load growth …. will challenge our grid’s flexibility and put the reliability of local systems to the test.”

“Combine this with aging infrastructure, congestion, and the uptick in climate-driven grid stress, utilities and grid operators will need to put a bigger focus on adoption of demand response programs and distributed energy resources to address these challenges and increase grid stability,” Jerrard said.

However, she said, “inconsistent data access standards” from utilities continue to limit the scalability of virtual power plants, a potent demand response solution.

O’Neill is excited about VPPs, she said, as she sees “a ton of innovation” flowing into the sector and expanding the ways that VPPs can offer grid flexibility.

“We’re seeing virtual power plants across different regions of the country — whether it’s coastal or Texas — where you’ve got utilities and commissions really putting virtual power plants to the test,” she said. “They’re managing the load, they’re shaving peak loads, and they don’t have to build as much [generation].”

Solar and offshore wind

In 2025, the American Clean Power Association forecasts that utility-scale U.S. solar installations will shrink 16% from 2024, due to the risk of new tariffs under a second Trump administration and concerns that he might work with Congress to repeal aspects of the IRA.

The industry’s residential segment “continued to decline” last year, driven by California, where residential solar cratered following the state’s switch from net metering to net billing in 2023, said a third quarter 2024 report from the Solar Energy Industries Association.

While solar projects in the state “definitely don’t offer the same amount of savings that they used to,” said Dan Smith, vice president of markets at DSD Renewables, “we are continuing to see California be our largest market.”

This is due in part to utility rates “[continuing] to escalate at really extreme levels in California,” he said. “So while we’re experiencing [NEM 3.0] adversely, as utility rates increase, that increases our customers’ savings. So that’s making up a bit of that gap.”

Smith said that DSD Renewables is entering 2025 apprehensive about any potential repeal or reforms to the IRA’s solar tax credits, but hopeful that the Trump administration and Congress will see their value.

“The projects that are being facilitated through that are not isolated in blue states,” he said. “For example, we’re doing projects all over the country and seeing projects work in states like Ohio and Pennsylvania that didn’t used to work.” 

Smith said that if the domestic content adder in the IRA remains in place, and domestic solar supply continues to come online, he won’t be as concerned about potential tariffs. 

“But that’s the question that I think the whole industry has right now — do those suppliers continue to make investments in their domestic factories?” he said. “There are many factories either under construction or planned, and the big question on many of our minds right now is, will any of that federal policy change in such a way that it causes those companies to pull back on those commitments?”

The offshore wind industry also contains a lot of people “holding their breath,” Sanchez said, “waiting to see what happens when [Trump] does come into power at the end of January.”

The stock prices for offshore wind companies like Ørsted and Vestas fell following the election and have yet to recover. Sanchez said she sees this as a “temporary signal” that will depend on what actions Trump takes on offshore wind.

“There’s been a tremendous level of investment, and that has continued this year, even with the more cautious approach that the industry has taken,” Sanchez said. “And I do see that going forward. But again, I think everyone at this moment is in a pause waiting to see what happens over the next couple of months, to see whether it’s worth continuing additional investment.”

On his first day in office, Trump issued an executive order pausing offshore wind lease sales in federal waters and the issuance of approvals, permits and loans for onshore and offshore wind projects. The pauses don’t have a set expiration date, according to the order, but will remain in effect until revoked.


We don’t expect, and I think lots of people out there don’t expect, the IRA to completely be blown up and be obliterated.

Marlene Motyka

Deloitte’s U.S. renewable energy leader


Northington said he finds it promising that Trump’s pick to head the Department of the Interior, former North Dakota governor Doug Burgum, has overseen the development of onshore wind in his state.

“I think that the Trump energy policies are, yes, anti-wind, but when it comes to getting something done, it’s more pro-oil and gas,” he said. “At the end of the day, to dismantle something requires effort and energy, and to ignore something takes much less energy.” 

However, Northington said he’s concerned that the high bureaucratic turnover of Trump’s first administration may continue in his second, and civil servants at agencies like the Bureau of Ocean Energy Management may decide to retire. People might say, “‘Okay. I stuck through round one — am I going to stick through round two?’” he said. “I think that can have a certain deleterious effect on things like getting permits through, or holding lease sales.”

Both solar and offshore wind continue to advance technologically, with promising innovations on the horizon. There are still “a lot of discussions going on about the future of offshore wind, about floating wind, about the development of the technology and the infrastructure needed on the West Coast to support floating wind,” Sanchez said.

The solar industry benefits each year from “continued improvements in efficiency of solar modules,” Smith said. “Now we’re using almost exclusively bifacial solar modules, which increase the energy yield.”

Marlene Motyka, Deloitte’s U.S. renewable energy leader, said she’s hopeful that solar cell technology will continue to advance with further innovations in materials like silicon and perovskite, and she’s excited about a December report from SEIA and Wood Mackenzie that said U.S. solar module factories are now equipped to meet nearly all domestic demand.

Motyka said Deloitte expects “good momentum” for the industry in 2025: “We don’t expect, and I think lots of people out there don’t expect, the IRA to completely be blown up and be obliterated.”

“There are a lot of things that have been coming together over time, and that’s not going to be stopped on a dime,” she said. “I’ve been involved in renewable energy for 17 years, and all of it is kind of coming together now. I think it’s still an exciting time.”

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Extreme plots enterprise marketplace for AI agents, tools, apps

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Ukraine Drones Hit Russian Black Sea Oil Terminal

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Repsol Mulls Merger for $19B Upstream Unit

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TotalEnergies Wins 15-Year Google Contract to Supply Renewable Power

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Arista, Palo Alto bolster AI data center security

“Based on this inspection, the NGFW creates a comprehensive, application-aware security policy. It then instructs the Arista fabric to enforce that policy at wire speed for all subsequent, similar flows,” Kotamraju wrote. “This ‘inspect-once, enforce-many’ model delivers granular zero trust security without the performance bottlenecks of hairpinning all traffic through a firewall or forcing a costly, disruptive network redesign.” The second capability is a dynamic quarantine feature that enables the Palo Alto NGFWs to identify evasive threats using Cloud-Delivered Security Services (CDSS). “These services, such as Advanced WildFire for zero-day malware and Advanced Threat Prevention for unknown exploits, leverage global threat intelligence to detect and block attacks that traditional security misses,” Kotamraju wrote. The Arista fabric can intelligently offload trusted, high-bandwidth “elephant flows” from the firewall after inspection, freeing it to focus on high-risk traffic. When a threat is detected, the NGFW signals Arista CloudVision, which programs the network switches to automatically quarantine the compromised workload at hardware line-rate, according to Kotamraju: “This immediate response halts the lateral spread of a threat without creating a performance bottleneck or requiring manual intervention.” The third feature is unified policy orchestration, where Palo Alto Networks’ management plane centralizes zone-based and microperimeter policies, and CloudVision MSS responds with the offload and enforcement of Arista switches. “This treats the entire geo-distributed network as a single logical switch, allowing workloads to be migrated freely across cloud networks and security domains,” Srikanta and Barbieri wrote. Lastly, the Arista Validated Design (AVD) data models enable network-as-a-code, integrating with CI/CD pipelines. AVDs can also be generated by Arista’s AVA (Autonomous Virtual Assist) AI agents that incorporate best practices, testing, guardrails, and generated configurations. “Our integration directly resolves this conflict by creating a clean architectural separation that decouples the network fabric from security policy. This allows the NetOps team (managing the Arista

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AMD outlines ambitious plan for AI-driven data centers

“There are very beefy workloads that you must have that performance for to run the enterprise,” he said. “The Fortune 500 mainstream enterprise customers are now … adopting Epyc faster than anyone. We’ve seen a 3x adoption this year. And what that does is drives back to the on-prem enterprise adoption, so that the hybrid multi-cloud is end-to-end on Epyc.” One of the key focus areas for AMD’s Epyc strategy has been our ecosystem build out. It has almost 180 platforms, from racks to blades to towers to edge devices, and 3,000 solutions in the market on top of those platforms. One of the areas where AMD pushes into the enterprise is what it calls industry or vertical workloads. “These are the workloads that drive the end business. So in semiconductors, that’s telco, it’s the network, and the goal there is to accelerate those workloads and either driving more throughput or drive faster time to market or faster time to results. And we almost double our competition in terms of faster time to results,” said McNamara. And it’s paying off. McNamara noted that over 60% of the Fortune 100 are using AMD, and that’s growing quarterly. “We track that very, very closely,” he said. The other question is are they getting new customer acquisitions, customers with Epyc for the first time? “We’ve doubled that year on year.” AMD didn’t just brag, it laid out a road map for the next two years, and 2026 is going to be a very busy year. That will be the year that new CPUs, both client and server, built on the Zen 6 architecture begin to appear. On the server side, that means the Venice generation of Epyc server processors. Zen 6 processors will be built on 2 nanometer design generated by (you guessed

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Building the Regional Edge: DartPoints CEO Scott Willis on High-Density AI Workloads in Non-Tier-One Markets

When DartPoints CEO Scott Willis took the stage on “the Distributed Edge” panel at the 2025 Data Center Frontier Trends Summit, his message resonated across a room full of developers, operators, and hyperscale strategists: the future of AI infrastructure will be built far beyond the nation’s tier-one metros. On the latest episode of the Data Center Frontier Show, Willis expands on that thesis, mapping out how DartPoints has positioned itself for a moment when digital infrastructure inevitably becomes more distributed, and why that moment has now arrived. DartPoints’ strategy centers on what Willis calls the “regional edge”—markets in the Midwest, Southeast, and South Central regions that sit outside traditional cloud hubs but are increasingly essential to the evolving AI economy. These are not tower-edge micro-nodes, nor hyperscale mega-campuses. Instead, they are regional data centers designed to serve enterprises with colocation, cloud, hybrid cloud, multi-tenant cloud, DRaaS, and backup workloads, while increasingly accommodating the AI-driven use cases shaping the next phase of digital infrastructure. As inference expands and latency-sensitive applications proliferate, Willis sees the industry’s momentum bending toward the very markets DartPoints has spent years cultivating. Interconnection as Foundation for Regional AI Growth A key part of the company’s differentiation is its interconnection strategy. Every DartPoints facility is built to operate as a deeply interconnected environment, drawing in all available carriers within a market and stitching sites together through a regional fiber fabric. Willis describes fiber as the “nervous system” of the modern data center, and for DartPoints that means creating an interconnection model robust enough to support a mix of enterprise cloud, multi-site disaster recovery, and emerging AI inference workloads. The company is already hosting latency-sensitive deployments in select facilities—particularly inference AI and specialized healthcare applications—and Willis expects such deployments to expand significantly as regional AI architectures become more widely

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Key takeaways from Cisco Partner Summit

Brian Ortbals, senior vice president from World Wide Technology, which is one of Cisco’s biggest and most important partners stated: “Cisco engaged partners early in the process and took our feedback along the way. We believe now is the right time for these changes as it will enable us to capitalize on the changes in the market.” The reality is, the more successful its more-than-half-a-million partners are, the more successful Cisco will be. Platform approach is coming together When Jeetu Patel took the reigns as chief product officer, one of his goals was to make the Cisco portfolio a “force multiple.” Patel has stated repeatedly that, historically, Cisco acted more as a technology holding company with good products in networking, security, collaboration, data center and other areas. In this case, product breadth was not an advantage, as everything must be sold as “best of breed,” which is a tough ask of the salesforce and partner community. Since then, there have been many examples of the coming together of the portfolio to create products that leverage the breadth of the platform. The latest is the Unified Edge appliance, an all-in-one solution that brings together compute, networking, storage and security. Cisco has been aggressive with AI products in the data center, and Cisco Unified Edge compliments that work with a device designed to bring AI to edge locations. This is ideally suited for retail, manufacturing, healthcare, factories and other industries where it’s more cost effecting and performative to run AI where the data lives.

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AI networking demand fueled Cisco’s upbeat Q1 financials

Customers are very focused on modernizing their network infrastructure in the enterprise in preparation for inferencing and AI workloads, Robbins said. “These things are always multi-year efforts,” and this is only the beginning, Robbins said. The AI opportunity “As we look at the AI opportunity, we see customer use cases growing across training, inferencing, and connectivity, with secure networking increasingly critical as workloads move from the data center to end users, devices, and agents at the edge,” Robbins said. “Agents are transforming network traffic from predictable bursts to persistent high-intensity loads, with agentic AI queries generating up to 25 times more network traffic than chatbots.” “Instead of pulling data to and from the data center, AI workloads require models and infrastructure to be closer to where data is created and decisions are made, particularly in industries such as retail, healthcare, and manufacturing.” Robbins pointed to last week’s introduction of Cisco Unified Edge, a converged platform that integrates networking, compute and storage to help enterprise customers more efficiently handle data from AI and other workloads at the edge. “Unified Edge enables real-time inferencing for agentic and physical AI workloads, so enterprises can confidently deploy and manage AI at scale,” Robbins said. On the hyperscaler front, “we see a lot of solid pipeline throughout the rest of the year. The use cases, we see it expanding,” Robbins said. “Obviously, we’ve been selling networking infrastructure under the training models. We’ve been selling scale-out. We launched the P200-based router that will begin to address some of the scale-across opportunities.” Cisco has also seen great success with its pluggable optics, Robbins said. “All of the hyperscalers now are officially customers of our pluggable optics, so we feel like that’s a great opportunity. They not only plug into our products, but they can be used with other companies’

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When the Cloud Leaves Earth: Google and NVIDIA Test Space Data Centers for the Orbital AI Era

On November 4, 2025, Google unveiled Project Suncatcher, a moonshot research initiative exploring the feasibility of AI data centers in space. The concept envisions constellations of solar-powered satellites in Low Earth Orbit (LEO), each equipped with Tensor Processing Units (TPUs) and interconnected via free-space optical laser links. Google’s stated objective is to launch prototype satellites by early 2027 to test the idea and evaluate scaling paths if the technology proves viable. Rather than a commitment to move production AI workloads off-planet, Suncatcher represents a time-bound research program designed to validate whether solar-powered, laser-linked LEO constellations can augment terrestrial AI factories, particularly for power-intensive, latency-tolerant tasks. The 2025–2027 window effectively serves as a go/no-go phase to assess key technical hurdles including thermal management, radiation resilience, launch economics, and optical-link reliability. If these milestones are met, Suncatcher could signal the emergence of a new cloud tier: one that scales AI with solar energy rather than substations. Inside Google’s Suncatcher Vision Google has released a detailed technical paper titled “Towards a Future Space-Based, Highly Scalable AI Infrastructure Design.” The accompanying Google Research blog describes Project Suncatcher as “a moonshot exploring a new frontier” – an early-stage effort to test whether AI compute clusters in orbit can become a viable complement to terrestrial data centers. The paper outlines several foundational design concepts: Orbit and Power Project Suncatcher targets Low Earth Orbit (LEO), where solar irradiance is significantly higher and can remain continuous in specific orbital paths. Google emphasizes that space-based solar generation will serve as the primary power source for the TPU-equipped satellites. Compute and Interconnect Each satellite would host Tensor Processing Unit (TPU) accelerators, forming a constellation connected through free-space optical inter-satellite links (ISLs). Together, these would function as a disaggregated orbital AI cluster, capable of executing large-scale batch and training workloads. Downlink

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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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