Stay Ahead, Stay ONMINE

Atlas Completes $220 Million Purchase of Power Tech Firm Moser

Atlas Energy Solutions Inc. has completed its acquisition of Moser Engine Service Inc. (Moser Energy Systems) for $220 million. “The acquisition of Moser Energy Systems is a platform investment that provides Atlas with exposure to the production end of the oil and gas value chain, along with new distributed power end-markets”, Atlas president and chief executive […]

Atlas Energy Solutions Inc. has completed its acquisition of Moser Engine Service Inc. (Moser Energy Systems) for $220 million.

“The acquisition of Moser Energy Systems is a platform investment that provides Atlas with exposure to the production end of the oil and gas value chain, along with new distributed power end-markets”, Atlas president and chief executive John Turner said in the company’s report for the fourth quarter (Q4) of 2024. “The acquisition strengthens Atlas’ market position as a leading provider of energy solutions and we expect the acquisition to help mitigate the volatility of future cash flows”.

The combination of Austin, Texas-based Atlas’ completion business and Casper, Wyoming-based Moser’s distributed power platform business creates a leading portfolio of proppant, logistics (including the Dune Express) and distributed power solutions, the companies said January 27 announcing the merger deal.

Moser’s “dynamic fleet of natural gas-powered assets (~212MWs) expands Atlas’s current operations into production and distributed power end markets supported by strong macro tailwinds expected to reduce through-cycle volatility associated with completions operations”, they added.

The merger “increases Atlas’s customer reach with a vital power service offering in Atlas’s core geography, the Permian Basin, while providing geographic diversity with operating locations in key oil and gas basins across the central United States”, they said.

The transaction consideration consists of $180 million in cash and about 1.7 million common shares, valued at $40 million. Atlas may opt to redeem the stock portion within 90 days upon completion.

Meanwhile it reported $14.4 million in net profit for the fourth quarter (Q4) of 2024, down more than half compared to the same three-month period a year ago but up 269.2 percent sequentially. Net income per share was $0.13.

Sales volumes during the October-December period dropped 15 percent quarter-on-quarter to 5.1 million metric tons, coupled with lower prices. Sales generated $271.3 million, down 10.9 percent sequentially. Service sales fell 10.2 percent to $142.9 million.

Earnings before interest, taxes, depreciation and amortization (EBITDA) landed at $66.16 million for Q4, compared to $46.88 million for Q3. Adjusted EBITDA came at $63.24 million, down from Q3’s 71.05 million.

Operating income was $30.74 million. Net cash from operating activities was $70.85 million. Adjusted free cash flow was $47.93 million.

Atlas raised its quarterly dividend to $0.25 per share.

It ended 2024 with $289.42 million in current assets including $71.7 million in cash and cash equivalents. Meanwhile Atlas’ current liabilities stood at $243.07 million including $43.74 million in current portion of long-term debt.

To contact the author, email [email protected]



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.


MORE FROM THIS AUTHOR

Shape
Shape
Stay Ahead

Explore More Insights

Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

Shape

Versa bolsters data protection, AI-powered operations in SASE upgrade

Docker-containerized ML models execute data discovery and classification locally, maintaining data sovereignty while scanning file repositories, SaaS applications, and inline traffic flows, the authors stated.  “Versa DLP uses advanced transformer models and fine-tuned Large Language Models (LLMs) to detect sensitive information across diverse document types and formats. Unlike traditional pattern

Read More »

DKnife targets network gateways in long running AitM campaign

Beyond update hijacking, the framework supports DNS manipulation, binary replacement, and selective traffic forwarding, giving attackers control over how specific requests are handled. Indicators point to China-Nexus development and targeting Several aspects of DKnife’s design and operation suggested ties to China-aligned threat actors. Talos identified configuration data and code comments written in

Read More »

Four new vulnerabilities found in Ingress NGINX

NGINX is a reverse proxy/load balancer that generally acts as the front-end web traffic receiver and directs it to the application service for data transformation. Ingress NGINX is a version used in Kubernetes as the controller for traffic coming into the infrastructure. It takes care of mapping traffic to pods

Read More »

USA Boards Venezuela-Linked Oil Tanker

US forces boarded an oil tanker after a cat-and-mouse chase from the Caribbean to the Indian Ocean, the Pentagon said, as Washington expands its geographic scope in an ongoing crackdown on a global shadow fleet used to export sanctioned crude. The Aquila II had departed from the Jose terminal in Venezuela in early December and appeared to be bound for China, according to ship tracking data compiled by Bloomberg. The ship was intercepted while heading toward the Sunda Strait between the Indonesian islands of Java and Sumatra. It’s the latest Venezuela-linked ship the US has taken control of since December, and the furthest from Caribbean waters, underscoring how far Washington is prepared to go to enforce its energy quarantine worldwide. The Suezmax vessel, able to haul about 1 million barrels of oil, was sanctioned for its involvement in the Russian oil trade following Moscow’s invasion of Ukraine in 2022. Although it was sailing under the flag of Panama when it was sanctioned by the US, as a Treasury Sanctions list search shows, it now appears to be operating under an unknown flag, according to the Equasis international shipping database and Bloomberg data. Previous US tanker seizures were executed before and after US forces captured and removed former Venezuelan President Nicolas Maduro in a highly-coordinated operation that included air strikes on Caracas. The last such incident took place in late January, when Motor Vessel Sagitta was captured in the Caribbean Sea. The Trump administration has pledged to crack down on Venezuela’s use of sanctioned ships, which often deploy deceptive satellite positioning signals, false flags and other misleading techniques to illegally export oil and other goods.  On Monday, Defense Secretary Pete Hegseth said the Pentagon was pursuing dark fleet vessels carrying Venezuelan crude around the world.  “The only guidance I gave to my military commanders is,

Read More »

India Seizes Three Tankers

The Indian Coast Guard seized three tankers that it said were involved in oil smuggling, the first sign of the country getting tough on the so-called dark fleet.  The three ships were taken in the waters off Mumbai on Friday by the coast guard, which said in a post on X that it had “busted an international oil-smuggling racket” and that the vessels had been known to “frequently change identity.”  It’s the first time New Delhi has taken such action, according to people familiar with the Indian shipping industry, and comes as the US and Europe lead an effort to get tougher on vessels moving sanctioned oil. Many dark fleet tankers have sub-standard documentation, improper or fake flag registrations and poor maintenance, posing security and maritime safety risks.  The seizures are also happening as Washington pressures New Delhi to stop taking Russian crude, as part of a deal to cut import tariffs on the South Asian nation. India said early last year that it wouldn’t allow sanctioned tankers to discharge at its ports. Explainer: How Trump Is Testing India’s US-Russia Balancing Act The coast guard didn’t name the vessels it had seized, but shared photos of them in its post. The pictures matched past images of the Chiltern, Asphalt Star and Stellar Ruby that can be found on MarineTraffic, a ship-tracking intelligence platform.  Ship-intelligence platform TankerTracker.com identified the same vessels through their unique seven-digit IMO numbers.  All three ships were sanctioned by Washington last year for links to the Iranian oil trade.  Nobody responded to emails seeking comment at offices of the registered owners of the tankers as listed on the Equasis database. Calls made to the owners and manager of Chiltern and Asphalt Star were directed to voice mail. Calls made to the owner and manager of Stellar Ruby were not answered. The three vessels seized by

Read More »

Expand CEO Steps Down

Expand Energy Corp. said Domenic “Nick” Dell’Osso, Jr. stepped down as chief executive officer as the largest US natural gas producer plans to relocate its headquarters to Houston from Oklahoma City in mid-2026. Michael Wichterich, Expand’s chairman, will assume the role of interim CEO while the board searches for a permanent replacement, the company said Monday in a statement. Dell’Osso will serve as an external adviser for an unspecified period. “The relocation, which will primarily focus on the executive leadership team, will strengthen Expand Energy’s relationships with key industry and commercial partners,” the company said in the statement. Moreover, “virtually all Oklahoma City employees will be unaffected” by the change in headquarters, beyond those executive leaders, Wichterich told employees in an internal email seen by Bloomberg. Expand’s shares dropped as much as 8.9%, the most since July. The abrupt change in leadership comes less than six months after the Chief Financial Officer Mohit Singh left the company, which cited his “termination without cause.” RBC Capital Markets equity analyst Scott Hanold, who said he met with Expand’s leadership Monday morning, wrote in a note to clients that the conversation indicated “there were no disagreements or anything improper” and the executive change is the result of Dell’Osso choosing to stay in Oklahoma City. Expand’s board of directors views the move of executive functions to Houston as “urgent” to supporting “marketing efforts and commercial efforts,” Hanold said. Dell’Osso joined Chesapeake Energy, which was renamed Expand Energy after acquiring rival driller Southwestern Energy, in 2008 after working as an investment banker at Jefferies. 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.

Read More »

Equinor Divesting Full Onshore Position in Vaca Muerta Basin

Equinor announced, in a statement posted on its website recently, that it has signed an agreement with Vista Energy to divest its full onshore position in Argentina’s Vaca Muerta basin. The company said the transaction includes Equinor’s 30 percent non-operated interest in the Bandurria Sur asset and its 50 percent non-operated interest in the Bajo del Toro asset. Equinor noted that its Argentinian offshore acreage is not affected by the transaction. The total consideration is valued at around $1.1 billion, Equinor highlighted in the statement, adding that, at closing, the company will receive an upfront cash payment of $550 million as well as shares in Vista. The consideration also includes contingent payments linked to production and oil prices over a five-year period, according to the statement, which noted that the transaction has an effective date of July 1, 2025. “We are realizing value from two high-quality assets we have actively developed as we continue to high-grade our international portfolio,” Philippe Mathieu, executive vice president for Exploration & Production International at Equinor, said in the statement. “This transaction strengthens Equinor’s financial flexibility as we evaluate opportunities in our core international markets, where we see substantial growth towards 2030. At the same time, we retain optionality through our offshore positions in Argentina,” he added. Chris Golden, senior vice president for the U.S. and Argentina in Exploration & Production International, said in the statement, “this is a value-driven decision that enhances the resilience of our international portfolio and sharpens our focus in Argentina”. Equinor noted in its statement that closing of the transaction “will, among other things, be subject to relevant approvals”. The company highlighted that it has been present in Argentina since 2017, “entering the Vaca Muerta through a joint exploration agreement with YPF on the Bajo del Toro asset”. The onshore

Read More »

BofA Report Compares Big Oil Cos

In a BofA Global Research report sent to Rigzone last month, analysts offered a comparison of global “big oil” companies. “After a portfolio comparison note on XOM/CVX last year, we respond to significant investor interest in widening the sample to all five integrated oil companies (ExxonMobil [XOM], Chevron [CVX], BP, TotalEnergies [TTE], Shell [SHEL]),” the analysts noted in the report. “The U.S. Integrateds on average have much bigger U.S. shale footprints, more oil in the upstream mix (vs gas), more near-term production growth, higher CF/bbl, longer reserve life, higher refining margins due to bigger U.S. footprints, and lower debt,” they added. “However, their remaining 3-4x EV/EBITDA premium still seems overdone – particularly considering the Europeans’ higher share of long-life assets,” they continued. In the report, the analysts stated that Chevron has “the highest share of upstream in earnings at 82 percent, with TTE the lowest at 62 percent”. “Europe’s Integrateds instead have more sizeable midstream, refining/chems and/or low carbon segments,” they added. “Notably, both XOM and CVX have ~40 percent of their upstream in U.S. shale, compared to ~25 percent for BP and “U.S. barrels tend to be relatively high cash flow for all five, but the longer-life barrels carry less capital intensity. Woodmac’s estimates of 2P reserves are 25 years for XOM, 20 for CVX, TTE, BP, and 16 for SHEL,” the analysts went on to state. The analysts also noted that XOM and TTE “offer highest production growth at 20 percent from 2025-30”. “Refining net cash margins are ~$10/bbl at CVX and XOM, $9/bbl at SHEL, $8/bbl at TTE and $6/bbl at BP,” they said. In the comparison report, the analysts said “XOM stands out for the most refining/chems, highest CF/boe, and the most production growth (mostly from US shale) to 2030”. “CVX stands out for its 2026 cash flow inflection and highest share of upstream in the

Read More »

Transocean to Buy Valaris in Near $6B Deal

Transocean Ltd and Valaris Limited announced, in a joint statement, the signing of a definitive agreement to combine the two companies. Under the agreement, Transocean will acquire Valaris in an all-stock transaction valued at approximately $5.8 billion, the statement noted. The shareholding percentages of the combined company, on a fully diluted basis, will be approximately 53 percent for Transocean and 47 percent for Valaris, according to the statement. Valaris shareholders will receive a fixed exchange ratio of 15.235 shares of Transocean stock for each common share of Valaris under the terms of the all-stock transaction, the statement highlighted. Based on the closing prices of Transocean and Valaris on February 6, the transaction implies a combined enterprise value of approximately $17 billion, the statement noted. The transaction was unanimously approved by the boards of directors of both companies and is expected to close in the second half of 2026, subject to regulatory approvals and customary closing conditions, and approvals by the shareholders of each company, the joint statement said. The statement outlined that the deal “creates an industry leader with a diversified offshore fleet of 73 rigs, including 33 ultra-deepwater drillships, nine semisubmersibles and 31 modern jackups, to meet emerging growth opportunities”. It also “expands reach and customer access in world’s most attractive offshore basins” and “unlocks more than $200 million in identified cost synergies”, the statement highlighted, adding that it “increases cash flow, accelerates deleveraging, and strengthens financial flexibility”. Keelan Adamson, Transocean President and Chief Executive Officer, said in the statement, “this transaction creates a very attractive investment in the offshore drilling industry, differentiated by the best fleet, proven people, leading technologies, and unequalled customer service”. “The powerful combination is well-timed to capitalize on an emerging, multi-year offshore drilling upcycle. Investors and our global customers will benefit from our expanded fleet of best-in-class, high-specification rigs,” he added. “We have identified more than $200 million in

Read More »

NetBox Labs ships AI copilot designed for network engineers, not developers

Natural language for network engineers Beevers explained that network operations teams face two fundamental barriers to automation. First, they lack accurate data about their infrastructure. Second, they aren’t software developers and shouldn’t have to become them. “These are not software developers. They are network engineers or IT infrastructure engineers,” Beevers said. “The big realization for us through the copilot journey is they will never be software developers. Let’s stop trying to make them be. Let’s let these computers that are really good at being software developers do that, and let’s let the network engineers or the data center engineers be really good at what they’re really good at.”  That vision drove the development of NetBox Copilot’s natural language interface and its capabilities. Grounding AI in infrastructure reality The challenge with deploying AI  in network operations is trust. Generic large language models hallucinate, produce inconsistent results, and lack the operational context to make reliable decisions. NetBox Copilot addresses this by grounding the AI agent in NetBox’s comprehensive infrastructure data model. NetBox serves as the system of record for network and infrastructure teams, maintaining a semantic map of devices, connections, IP addressing, rack layouts, power distribution and the relationships between these elements. Copilot has native awareness of this data structure and the context it provides. This enables queries that would be difficult or impossible with traditional interfaces. Network engineers can ask “Which devices are missing IP addresses?” to validate data completeness, “Who changed this prefix last week?” for change tracking and compliance, or “What depends on this switch?” for impact analysis before maintenance windows.

Read More »

US pushes voluntary pact to curb AI data center energy impact

Others note that cost pressure isn’t limited to the server rack. Danish Faruqui, CEO of Fab Economics, said the AI ecosystem is layered from silicon to software services, creating multiple points where infrastructure expenses eventually resurface. “Cloud service providers are likely to gradually introduce more granular pricing models across cloud, AI, and SaaS offerings, tailored by customer type, as they work to absorb the costs associated with the White House energy and grid compact,” Faruqui said.   This may not show up as explicit energy surcharges, but instead surface through reduced discounts, higher spending commitments, and premiums for guaranteed capacity or performance. “Smaller enterprises will feel the impact first, while large strategic customers remain insulated longer,” Rawat said. “Ultimately, the compact would delay and redistribute cost pressure; it does not eliminate it.” Implications for data center design The proposal is also likely to accelerate changes in how AI facilities are designed. “Data centers will evolve into localized microgrids that combine utility power with on-site generation and higher-level implementation of battery energy storage systems,” Faruqui said. “Designing for grid interaction will become imperative for AI data centers, requiring intelligent, high-speed switching gear, increased battery energy storage capacity for frequency regulation, and advanced control systems that can manage on-site resources.”

Read More »

Intel teams with SoftBank to develop new memory type

However, don’t expect anything anytime soon. Intel’s Director of Global Strategic Partnerships Sanam Masroor outlined the plans in a blog post. Operations are expected to begin in Q1 2026, with prototypes due in 2027 and commercial products by 2030. While Intel has not come out and said it, that memory design is almost identical to HBM used in GPU accelerators and AI data centers. HBM sits right on the GPU die for immediate access to the GPU, unlike standard DRAM which resides on memory sticks plugged into the motherboard. HBM is much faster than DDR memory but is also much more expensive to produce. It’s also much more profitable than standard DRAM which is why the big three memory makers – Micron, Samsung, and SK Hynix – are favoring production of it.

Read More »

Nvidia’s $100 Billion OpenAI Bet Shrinks and Signals a New Phase in the AI Infrastructure Cycle

One of the most eye-popping figures of the AI boom – a proposed $100 billion Nvidia commitment to OpenAI and as much as 10 gigawatts of compute for the company’s Stargate AI infrastructure buildout – is no longer on the table. And that partial retreat tells the data center industry something important. According to multiple reports surfacing at the end of January, Nvidia has paused and re-scoped its previously discussed, non-binding investment framework with OpenAI, shifting from an unprecedented capital-plus-infrastructure commitment to a much smaller (though still massive) equity investment. What was once framed as a potential $100 billion alignment is now being discussed in the $20-30 billion range, as part of OpenAI’s broader effort to raise as much as $100 billion at a valuation approaching $830 billion. For data center operators, infrastructure developers, and power providers, the recalibration matters less for the headline number and more for what it reveals about risk discipline, competitive dynamics, and the limits of vertical circularity in AI infrastructure finance. From Moonshot to Measured Capital The original September 2025 memorandum reportedly contemplated not just capital, but direct alignment on compute delivery: a structure that would have tightly coupled Nvidia’s balance sheet with OpenAI’s AI-factory roadmap. By late January, however, sources indicated Nvidia executives had grown uneasy with both the scale and the structure of the deal. Speaking in Taipei on January 31, Nvidia CEO Jensen Huang pushed back on reports of friction, calling them “nonsense” and confirming Nvidia would “absolutely” participate in OpenAI’s current fundraising round. But Huang was also explicit on what had changed: the investment would be “nothing like” $100 billion, even if it ultimately becomes the largest single investment Nvidia has ever made. That nuance matters. Nvidia is not walking away from OpenAI. But it is drawing a clearer boundary around

Read More »

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 Onsite Engineer – Critical FacilitiesCharleston, SC This is NOT a traveling position. Having degreed engineers seems to be all the rage these days. I can also use this type of candidate in following cities: Ashburn, VA; Moncks Corner, SC; Binghamton, NY; Dallas, TX or Indianapolis, IN. Our client is an engineering design and commissioning company that is a subject matter expert in the data center space. This role will be onsite at a customer’s data center. They will provide onsite design coordination and construction administration, consulting and management support for the data center / mission critical facilities space with the mindset to provide reliability, energy efficiency, sustainable design and LEED 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 Ashburn, VA This traveling position is also available in: New York, NY; White Plains, NY;  Richmond, VA; Montvale, NJ; Charlotte, NC; Atlanta, GA; Hampton, GA; New Albany, OH; Cedar Rapids, IA; Phoenix, AZ; Salt Lake City, UT; Dallas, TX; 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

Read More »

Operationalizing AI at Scale: Google Cloud on Data Infrastructure, Search, and Enterprise AI

The AI conversation has been dominated by model announcements, benchmark races, and the rapid evolution of large language models. But in enterprise environments, the harder problem isn’t building smarter models. It’s making them work reliably with real-world data. On the latest episode of the Data Center Frontier Show Podcast, Sailesh Krishnamurthy, VP of Engineering for Databases at Google Cloud, pulled back the curtain on the infrastructure layer where many ambitious AI initiatives succeed, or quietly fail. Krishnamurthy operates at the intersection of databases, search, and AI systems. His perspective underscores a growing reality across enterprise IT: AI success increasingly depends on how organizations manage, integrate, and govern data across operational systems, not just how powerful their models are. The Disconnect Between LLMs and Reality Enterprises today face a fundamental challenge: connecting LLMs to real-time operational data. Search systems handle documents and unstructured information well. Operational databases manage transactions, customer data, and financial records with precision. But combining the two remains difficult. Krishnamurthy described the problem as universal. “Inside enterprises, knowledge workers are often searching documents while separately querying operational systems,” he said. “But combining unstructured information with operational database data is still hard to do.” Externally, customers encounter the opposite issue. Portals expose personal data but struggle to incorporate broader contextual information. “You get a narrow view of your own data,” he explained, “but combining that with unstructured information that might answer your real question is still challenging.” The result: AI systems often operate with incomplete context. Vector Search Moves Into the Database Vector search has emerged as a bridge between structured and unstructured worlds. But its evolution over the past three years has changed how enterprises deploy it. Early use cases focused on semantic search, i.e. finding meaning rather than exact keyword matches. Bug tracking systems, for example, began

Read More »

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.

Read More »

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

Read More »

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

Read More »

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

Read More »