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The path forward for gen AI-powered code development in 2025

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Three years ago AI-powered code development was mostly just GitHub Copilot.  GitHub’s AI-powered developer tool amazed developers with its ability to help with code completion and even generate new code. Now, at the start of 2025, […]

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Three years ago AI-powered code development was mostly just GitHub Copilot

GitHub’s AI-powered developer tool amazed developers with its ability to help with code completion and even generate new code. Now, at the start of 2025, a dozen or more generative AI coding tools and services are available from vendors big and small. AI-powered coding tools now provide sophisticated code generation and completion features, and support an array of programming languages and deployment patterns. 

The new class of software development tools has the potential to completely revolutionize how applications are built and delivered — or so many vendors claim. Some observers have worried that these new tools will spell the end for professional coders as we know it.

What’s the reality? How are tools actually making an impact today? Where do they fall short and where is the market headed in 2025?

“This past year, AI tools have become increasingly essential for developer productivity,” Mario Rodriguez, chief product officer at GitHub, told VentureBeat. 

The enterprise efficiency promise of gen AI-powered code development

So what can gen AI-powered code development tools do now?

Rodriguez said that tools like GitHub Copilot can already generate 30-50% of code in certain workflows. The tools can also help automate repetitive tasks and assist with debugging and learning. They can even serve as a thought partner to help developers go from idea to application in minutes.

“We’re also seeing that AI tools not only help developers write code faster, but also write better quality code,” Rodriguez said. “In our latest controlled developer study we found that code written with Copilot is not only easier to read but also more functional — it’s 56% more likely to pass unit tests.”

While GitHub Copilot is an early pioneer in the space, other more recent entrants are seeing similar gains. One of the hottest vendors in the space is Replit, which has developed an AI-agent approach to accelerate software development. According to Amjad Masad, CEO of Replit, gen AI-powered coding tools can make coding anywhere between 10-40% faster for professional engineers.

“The biggest beneficiaries are front-end engineers, where there is so much boilerplate and repetition in the work,” Masad told VentureBeat. “On the other hand, I think it’s having less impact on low-level software engineers where you have to be careful with memory management and security.”

What’s more exciting for Masad isn’t the impact of gen AI coding on existing developers, but rather the impact it can have on others.

“The most exciting thing, at least from the perspective of Replit, is that it can make non-engineers into junior engineers,” Masad said. “Suddenly, anyone can create software with code. This can change the world.”

Certainly gen AI-powered coding tools have the potential to democratize development and improve professional developers’ efficiency.

That said, it isn’t a panacea and it does have some limitations, at least for now.

“For simple, isolated projects, AI has made remarkable progress,” Itamar Friedman, cofounder and CEO of Qodo, told VentureBeat.

Qodo (formerly Codium AI) is building out a series of AI agent-driven enterprise application development tools. Friedman said that using automated AI tools, anyone can now create basic websites faster and with more personalization than traditional website builders can. 

“However, for complex enterprise software that powers Fortune 5000 companies, AI isn’t yet capable of full end-to-end automation,” Friedman noted. “It excels at specific tasks, like question-answering on complex code, line completion, test generation and code reviews.”

Friedman argued that the core challenge is in the complexity of enterprise software. In his view, pure large language model (LLM) capabilities on their own can’t handle this complexity. 

“Simply using AI to generate more lines of code could actually worsen code quality — which is already a significant problem in enterprise settings,” Friedman said. “So the reason that we don’t see huge adoption yet is because there are still more advances in technology, engineering and machine learning that need to be achieved in order for AI solutions to fully understand complicated enterprise software.”

Friedman said that Qodo is addressing that issue by focusing on understanding complex code, indexing it, categorizing it and understanding organizational best practices to generate meaningful tests and code reviews.

Another barrier to broader adoption and deployment is legacy code. Brandon Jung, VP of ecosystem at gen AI development vendor Tabnine, told VentureBeat that he sees a lack of quality data preventing wider adoption of AI coding tools. 

“For enterprises, many have large, old code bases and that code is not well understood,” Jung said. “Data has always been critical to machine learning and that is no different with gen AI for code.”

Towards fully agentic AI-driven code development in 2025

No single LLM can handle everything required for modern enterprise software development. That’s why leading vendors have embraced an agentic AI approach.

Qodo’s Friedman expects that in 2025 the features that seemed revolutionary in 2022 — like autocomplete and simple code chat functions — will become commoditized. 

“The real evolution will be towards specialized agentic workflows — not one universal agent, but many specialized ones each excelling at specific tasks,” Friedman said. “In 2025 we’re going to see many of these specialized agents developed and deployed until eventually, when there are enough of these, we’re going to see the next inflection point, where agents can collaborate to create complex software.”

It’s a direction that GitHub’s Rodriguez sees as well. He expects that throughout 2025, AI tools will continue to evolve to assist developers throughout the entire software lifecycle. That’s more than just writing code; it’s also building, deploying, testing, maintaining and even fixing software. Humans will not be replaced in this process, they will be augmented with AI that will make things faster and more efficient.

“This is going to be accomplished with the use of AI agents, where developers have agents helping them with specific tasks through every step of the development process — and critically, an iterative feedback loop that keeps the developer in control at all times,” Rodriguez said. 

In a world where gen AI-powered coding will become increasingly mainstream in 2025 and beyond, there is at least one differentiator that will be key for enterprises. In Rodriguez’s view, that’s platform integration. 

“To truly succeed at scale, AI tooling has to integrate seamlessly into existing workflows,” Rodriguez said.

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Nvidia aims to bring AI to wireless

Key features of ARC-Compact include: Energy Efficiency: Utilizing the L4 GPU (72-watt power footprint) and an energy-efficient ARM CPU, ARC-Compact aims for a total system power comparable to custom baseband unit (BBU) solutions currently in use. 5G vRAN support: It fully supports 5G TDD, FDD, massive MIMO, and all O-RAN

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Netgear’s enterprise ambitions grow with SASE acquisition

Addressing the SME security gap The acquisition directly addresses a portfolio gap that Netgear (Nasdaq:NTGR) has identified through customer feedback.  According to Badjate, customers have been saying that they like the Netgear products, but they also really need more security capabilities. Netgear’s target market focuses on organizations with fewer than

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IBM’s cloud crisis deepens: 54 services disrupted in latest outage

Rawat said IBM’s incident response appears slow and ineffective, hinting at procedural or resource limitations. The situation also raises concerns about IBM Cloud’s adherence to zero trust principles, its automation in threat response, and the overall enforcement of security controls. “The recent IBM Cloud outages are part of a broader

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ScottishPower Allots About $300MM for UK Power Grid Modernization

ScottishPower Energy Networks (SPEN), Iberdrola’s distribution company in the United Kingdom, will invest more than EUR 262 million ($298.8 million) in the modernization of the United Kingdom’s electricity grid. SPEN said in a media release that six partners will continue working on the maintenance and upgrade of more than 20,000 kilometers (12,400 miles) of overhead lines across the network over the next four years. SPEN partners include Scottland-based Aureos, Gaeltec, and PLPC, which will support the six license districts in central and southern Scotland (Ayrshire and Clyde South, Central and Fife, Dumfries and Galloway, Edinburgh and Borders, Glasgow and Clyde North, Lanarkshire). The company said it is also partnering with Emerald Power, IES, and Network Plus, which will support the license districts in Mid-Cheshire, Merseyside, Dee Valley and Mid Wales, Wirral and North Wales. “Ensuring we have the partners, resources, and technical skills in place to deliver on our bold and ambitious plans for our network is vital for the modern and resilient grid needed to support the doubling of demand”, Nicola Connelly, SPEN CEO, said. “These contracts not only support significant investment in our overhead line network, they allow us to build on the solid foundations created with our supply chain partners and give certainty and confidence to further invest in their skills and people.  It’s a win-win on both sides and we look forward to working together to make a long and lasting difference for all our communities – from Anstruther to Anglesey”. The contracts will support over 500 jobs – including more than 50 new linesmen roles – nationwide, with companies based in and around ScottishPower’s Scotland and Manweb license areas. “This is an extremely significant milestone for Emerald Power and provides the opportunity to further invest in our business – recruiting, training, and upskilling the resources needed to deliver

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Fennex to Deploy AI-Powered Safety System across EnQuest’s UK Operations

Fennex Ltd. has bagged a multi-year deal from EnQuest plc to deploy the flagship AI-powered Behaviour-Based Safety System (BBSS) across EnQuest’s UK operations.   EnQuest oversees a varied portfolio of offshore assets in the North Sea, which includes Thistle, Heather, Magnus, and the Kraken FPSO, along with the Sullom Voe Terminal located onshore Shetland, recognized as one of the largest oil terminals in Europe, Fennex noted in a media release. Fennex added that the BBSS is already live across all of EnQuest’s UK offshore assets and the Sullom Voe Terminal. This rapid deployment was achieved in just eight weeks. “BBSS is now deployed across all EnQuest’s UK-operated offshore assets, and for the first time at a major onshore terminal”, Adrian Brown, Managing Director at Fennex, said. “EnQuest was eager to roll out the platform quickly, and thanks to strong collaboration, we were able to go live both offshore and onshore in record time”. “We identified BBSS as an opportunity to make a step change in operational safety through making it easier and more user-friendly for personnel to participate and allowing us to make more effective use of the resulting leading data. It provides full visibility of engagement in our safety reporting and real-time data, giving us immediate insight into reported issues and the ability to act swiftly for the best outcomes in our operations”, EnQuest’s Director of HSE and Wells, Ian McKimmie, added. As the collaboration progresses, Fennex and EnQuest are working together to reveal even more value – leveraging advanced analytics, behavioral insights, and AI-driven predictive safety tools to foster a culture of proactive, intelligence-led safety, Fennex said. 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

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Canada’s Oil Sands Emissions Intensity Falls for Sixth Year

Canada’s oil sands industry reduced its emissions per barrel for the sixth straight year in 2023, even as one growing portion of the sector moved in the opposite direction, according to new Alberta government data released Thursday. The emissions intensity of all oil sands sites fell to the equivalent of 0.399 metric tons of carbon dioxide per cubic meter of bitumen produced, down from 0.404 in 2022, the data show. The gain reflects improvements at oil sands mines, where bitumen is dug from the ground. However, in situ oil sands, which use wells similar to traditional oil producers, saw emissions per barrel rise.  Even with the efficiency improvement, total emissions rose to the equivalent 80.1 million metric tons of carbon dioxide, up from 78.8 million in 2022, the data show. That’s the highest in data back to 2011. The oil sands’ declining energy intensity — to the lowest in data stretching back to 2011 — is welcome news for an industry that has struggled with a reputation for being climate unfriendly, prompting some investors to shun it altogether. However, the rising emissions intensity at well sites presents a challenge for the sector, as the method’s lower costs make it increasingly popular among producers. While the average intensity of oil sands producers is higher than the average for the global oil industry overall, drillers ‘emissions profiles vary widely around the world, said Kevin Birn, chief analyst for Canadian oil markets for S&P Global. The oil sands “fits well within the range of carbon intensity of oil and gas we see in the world,” Birn said in an interview. All of the oil sands mines reduced their emissions intensity with Canadian Natural Resources Ltd.’s Horizon making the biggest gain for the year.  In situ production facilities, which include the more than 250,000 barrel-a-day Suncor

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ICYMI: Energy Secretary Wright, EPA Administrator Zeldin, and Interior Secretary Burgum Visit Alaska to Advance Unleashing American Energy

In Case You Missed It— U.S. Secretary of Energy Chris Wright traveled to Alaska earlier this week, where he joined U.S. Department of the Interior Secretary Doug Burgum and U.S. Environmental Protection Agency (EPA) Administrator Lee Zeldin to advance President Trump’s bold agenda to unleash Alaska’s extraordinary resource potential. In Anchorage and on the North Slope, Secretary Wright met with state, local and tribal leaders as well as Alaskan energy workers, held bilateral meetings with foreign energy ministers to advance American energy projects like Alaska LNG, and participated in a keynote fireside chat at the Alaska Sustainable Energy Conference. “I was proud to join my colleagues, Doug Burgum and Lee Zeldin, in Alaska to help fulfill President Trump’s mission of unleashing Alaska to create a safe, prosperous, and opportunity-filled future,” said Secretary Wright. “Alaska has always been a big bold place, a big bold idea, full of big bold people. Unfortunately, the last administration especially and many before them sought to shut down Alaska in the name of climate nonsense. Those days are over. The Trump Administration is fully committed to restoring the rights and liberties of Alaskans, because when Alaska is unleashed, the entire country and world benefits.” Click here to watch a highlight video of the trip and here to download and view photos from the visit. Roundtable in Anchorage On Sunday, Secretaries Wright and Burgum and Administrator Zeldin joined Alaska Governor Mike Dunleavy and Senator Dan Sullivan (R-Alaska) for a roundtable discussion in Anchorage with leaders from across Alaska’s resource development industry. WATCH: Alaska Resources Roundtable with Secretary Burgum, Secretary Wright and Administrator Zeldin Town hall in Utqiagvik (Barrow), Alaska The delegation then traveled to the capital of Alaska’s North Slope Borough, Utqiagvik, Alaska, for a town hall with the predominantly Alaska-Native community. The cabinet members heard

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Kenya Says Tullow Asset Sale ‘Raises Concern’ for Oil Sector

Kenya lawmakers said a lack of detail over Tullow Oil Plc’s sale of oil assets to local company Gulf Energy “raises concerns” for the industry in the East African nation. Tullow ended a decade-long quest to develop discoveries in April, when it sold the inland fields for $120 million to Gulf Energy, a Nairobi-based oil and gas trader. Tullow has announced divestments in recent months toward reducing its debt below $1 billion this year. The deal for the assets has included few details, “which raises concerns about the continuity, governance, and strategic direction of the country’s nascent oil industry,” the national assembly energy committee said in a report tabled on Wednesday.  “There is limited information regarding the terms of the exit, the implications of the transaction on Kenya’s commercial oil prospects, and its potential impact on the completion and timely approval of the Field Development Plan,” it said. Gulf Energy is an oil supplier, electricity generator and infrastructure developer, according to its website. It didn’t immediately respond to emails seeking comment. The sale of working interests in Kenya to Gulf Energy “continues to progress well,” a Tullow spokesperson said in a reply to questions. “We have a high level of confidence in it completing with the receipt of the first two payments totaling $80 million expected during 2025.” Passage of the development plan, which is still pending, became one of the obstacles Tullow faced with the project. Partners TotalEnergies SE and Africa Oil Corp. exited the joint venture in 2023 and the company failed to find a strategic partner to replace them.      The payment profile of the Gulf Energy deal “isn’t too demanding,” though it’s unclear who is backing the company, said Ashley Kelty, an analyst at Panmure Liberum. WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect

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Oil Rises as Solid USA Jobs Data Pushes Algos to Drop Short Bets

Oil rose as stronger-than-expected US jobs data eased concerns about an economic slowdown that would crimp demand, spurring algorithmic traders to reduce short positions.  West Texas Intermediate climbed almost 2% to settle above $64 a barrel, notching the largest weekly gain since November. Crude followed equities higher after US job growth in May narrowly surpassed economist forecasts, allaying concerns of near-term demand deterioration. The figures also pushed economy-sensitive diesel futures to a two-week high.  “Trading is relatively quiet today, with macroeconomic factors continuing to drive the narrative,” said Rebecca Babin, a senior energy trader at CIBC Private Wealth Group. “The unemployment data is easing concerns that demand will sharply decline due to tariff uncertainty.” The positive economic data spurred commodity trading advisers to ease off of their bearish tilt. The funds, which can accelerate price momentum, liquidated short positions to sit at negative 9% short in WTI on Friday, compared with 64% short on June 5, according to data from Bridgeton Research Group. The rally was supported by enduring risk-on sentiment from optimistic signs on trade talks between the US and China, the world’s largest importer of crude. President Donald Trump and his Chinese counterpart, Xi Jinping, agreed to further negotiations over tariffs and supplies of rare earth minerals. The positive signals come against the backdrop of an oil market that has been increasingly rangebound in recent weeks. Prices have traded in a $5 band since the middle of May, and a gauge of volatility for US crude futures is at the lowest since early April.  Oil has been buffeted in Trump’s second term as trade tensions between the world’s two largest economies menace demand. At the same time, the OPEC+ alliance has been adding barrels back to the market at a faster-than-expected rate, further clouding an already weak outlook for the second half

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LiquidStack launches cooling system for high density, high-powered data centers

The CDU is serviceable from the front of the unit, with no rear or end access required, allowing the system to be placed against the wall. The skid-mounted system can come with rail and overhead piping pre-installed or shipped as separate cabinets for on-site assembly. The single-phase system has high-efficiency dual pumps designed to protect critical components from leaks and a centralized design with separate pump and control modules reduce both the number of components and complexity. “AI will keep pushing thermal output to new extremes, and data centers need cooling systems that can be easily deployed, managed, and scaled to match heat rejection demands as they rise,” said Joe Capes, CEO of LiquidStack in a statement. “With up to 10MW of cooling capacity at N, N+1, or N+2, the GigaModular is a platform like no other—we designed it to be the only CDU our customers will ever need. It future-proofs design selections for direct-to-chip liquid cooling without traditional limits or boundaries.”

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Enterprises face data center power design challenges

” Now, with AI, GPUs need data to do a lot of compute and send that back to another GPU. That connection needs to be close together, and that is what’s pushing the density, the chips are more powerful and so on, but the necessity of everything being close together is what’s driving this big revolution,” he said. That revolution in new architecture is new data center designs. Cordovil said that instead of putting the power shelves within the rack, system administrators are putting a sidecar next to those racks and loading the sidecar with the power system, which serves two to four racks. This allows for more compute per rack and lower latency since the data doesn’t have to travel as far. The problem is that 1 mW racks are uncharted territory and no one knows how to manage the power, which is considerable now. ”There’s no user manual that says, hey, just follow this and everything’s going to be all right. You really need to push the boundaries of understanding how to work. You need to start designing something somehow, so that is a challenge to data center designers,” he said. And this brings up another issue: many corporate data centers have power plugs that are like the ones that you have at home, more or less, so they didn’t need to have an advanced electrician certification. “We’re not playing with that power anymore. You need to be very aware of how to connect something. Some of the technicians are going to need to be certified electricians, which is a skills gap in the market that we see in most markets out there,” said Cordovil. A CompTIA A+ certification will teach you the basics of power, but not the advanced skills needed for these increasingly dense racks. Cordovil

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HPE Nonstop servers target data center, high-throughput applications

HPE has bumped up the size and speed of its fault-tolerant Nonstop Compute servers. There are two new servers – the 8TB, Intel Xeon-based Nonstop Compute NS9 X5 and Nonstop Compute NS5 X5 – aimed at enterprise customers looking to upgrade their transaction processing network infrastructure or support larger application workloads. Like other HPE Nonstop systems, the two new boxes include compute, software, storage, networking and database resources as well as full-system clustering and HPE’s specialized Nonstop operating system. The flagship NS9 X5 features support for dual-fabric HDR200 InfiniBand interconnect, which effectively doubles the interconnect bandwidth between it and other servers compared to the current NS8 X4, according to an HPE blog detailing the new servers. It supports up to 270 networking ports per NS9 X system, can be clustered with up to 16 other NS9 X5s, and can support 25 GbE network connectivity for modern data center integration and high-throughput applications, according to HPE.

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AI boom exposes infrastructure gaps: APAC’s data center demand to outstrip supply by 42%

“Investor confidence in data centres is expected to strengthen over the remainder of the decade,” the report said. “Strong demand and solid underlying fundamentals fuelled by AI and cloud services growth will provide a robust foundation for investors to build scale.” Enterprise strategies must evolve With supply constrained and prices rising, CBRE recommended that enterprises rethink data center procurement models. Waiting for optimal sites or price points is no longer viable in many markets. Instead, enterprises should pursue early partnerships with operators that have robust development pipelines and focus on securing power-ready land. Build-to-suit models are becoming more relevant, especially for larger capacity requirements. Smaller enterprise facilities — those under 5MW — may face sustainability challenges in the long term. The report suggested that these could become “less relevant” as companies increasingly turn to specialized colocation and hyperscale providers. Still, traditional workloads will continue to represent up to 50% of total demand through 2030, preserving value in existing facilities for non-AI use cases, the report added. The region’s projected 15 to 25 GW gap is more than a temporary shortage — it signals a structural shift, CBRE said. Enterprises that act early to secure infrastructure, invest in emerging markets, and align with power availability will be best positioned to meet digital transformation goals. “Those that wait may find themselves locked out of the digital infrastructure they need to compete,” the report added.

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Cisco bolsters DNS security package

The software can block domains associated with phishing, malware, botnets, and other high-risk categories such as cryptomining or new domains that haven’t been reported previously. It can also create custom block and allow lists and offers the ability to pinpoint compromised systems using real-time security activity reports, Brunetto wrote. According to Cisco, many organizations leave DNS resolution to their ISP. “But the growth of direct enterprise internet connections and remote work make DNS optimization for threat defense, privacy, compliance, and performance ever more important,” Cisco stated. “Along with core security hygiene, like a patching program, strong DNS-layer security is the leading cost-effective way to improve security posture. It blocks threats before they even reach your firewall, dramatically reducing the alert pressure your security team manages.” “Unlike other Secure Service Edge (SSE) solutions that have added basic DNS security in a ‘checkbox’ attempt to meet market demand, Cisco Secure Access – DNS Defense embeds strong security into its global network of 50+ DNS data centers,” Brunetto wrote. “Among all SSE solutions, only Cisco’s features a recursive DNS architecture that ensures low-latency, fast DNS resolution, and seamless failover.”

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HPE Aruba unveils raft of new switches for data center, campus modernization

And in large-scale enterprise environments embracing collapsed-core designs, the switch acts as a high-performance aggregation layer. It consolidates services, simplifies network architecture, and enforces security policies natively, reducing complexity and operational cost, Gray said. In addition, the switch offers the agility and security required at colocation facilities and edge sites. Its integrated Layer 4 stateful security and automation-ready platform enable rapid deployment while maintaining robust control and visibility over distributed infrastructure, Gray said. The CX 10040 significantly expands the capacity it can provide and the roles it can serve for enterprise customers, according to one industry analyst. “From the enterprise side, this expands on the feature set and capabilities of the original 10000, giving customers the ability to run additional services directly in the network,” said Alan Weckel, co-founder and analyst with The 650 Group. “It helps drive a lower TCO and provide a more secure network.”  Aimed as a VMware alternative Gray noted that HPE Aruba is combining its recently announced Morpheus VM Essentials plug-in package, which offers a hypervisor-based package aimed at hybrid cloud virtualization environments, with the CX 10040 to deliver a meaningful alternative to Broadcom’s VMware package. “If customers want to get out of the business of having to buy VM cloud or Cloud Foundation stuff and all of that, they can replace the distributed firewall, microsegmentation and lots of the capabilities found in the old VMware NSX [networking software] and the CX 10k, and Morpheus can easily replace that functionality [such as VM orchestration, automation and policy management],” Gray said. The 650 Group’s Weckel weighed in on the idea of the CX 10040 as a VMware alternative:

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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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