Stay Ahead, Stay ONMINE

AI’s fourth wave is here — are enterprises ready for what’s next?

Yesterday’s emerging tech is now essential to business success — and the next wave is coming fast. To maintain competitive advantage through the next five years, which innovations must forward-thinking companies prioritize right now? At VentureBeat’s Transform 2025, Yaad Oren, global head of SAP research & innovation and Emma Brunskill, associate professor of computer science at Stanford, spoke with moderator Susan Etlinger, senior director, strategy and thought leadership, Azure AI Microsoft, about the strategies needed today, for tomorrow’s transformative technology. [embedded content] How the current landscape will shape the future The fourth generation of AI — generative AI — marks a paradigm shift in what AI brings to the table, Oren said, outlining three major places it’s bringing significant value and disruption to the enterprise. The first is the user experience and how people interact with software. The second is automation on the application layer — SAP has embedded approximately 230 AI capabilities and agents inside its applications, and plan increase this number to 400 by the end of 2025, to drive increased productivity and reduce costs. The third area is the platform — the core engine that powers each enterprise — which raises new questions about the developer experience, as well as privacy and trust. “We see a lot of disruption around UX, the application, and the platform itself that provides all the tools to deal with this new treasure trove of options AI provides to enterprises,” Oren summed up. For Brunskill, the big question is how AI can integrate with humans to drive societal value, rather than acting like a thief of human creativity and ingenuity. A recent study found that if the enterprise framed AI tools as productivity enhancing, people will use them much less frequently than if they’re framed as task enhancing. “That’s a pretty big take-home as we think about how to translate some of the extraordinary capabilities of these systems into systems that drive value for customers, for organizations and others,” Brunskill said. “We need to think about how these are framed.” Business value at the enterprise level should be top of mind, Oren added, and that means even as technology evolves, AI in the enterprise needs to go beyond technology for technology’s sake. The sexiest new technology often delivers the least value. “What you see today is a proliferation of many solutions out there that create great jumping avatars in movies that look amazing, but the value: how do you help the enterprise reduce costs? How do you help the enterprise increase productivity or revenue? How are you able to mitigate risk?” he said. “This mindset is not fully there with AI. You always need to start with a business problem. Quantify the value you would like to achieve.” Predictions for the future of AI Artificial general intelligence (AGI) is a theoretical breakthrough in which AI will match or surpass human-level versatility and problem-solving capabilities across most cognitive tasks. The future of AI, and the definition of what AGI is, will be a big topic of discussion in the next few years.   Brunskill defines it the point at which AI can do any sort of cognitive task at least as well as an average human in a profession. “In terms of a lot of the white-collar jobs that just require cognitive processing, I think we’re going to make enormous strides in the next five years,” Brunskill said. “I don’t think we’re ready yet. I think we need to do a lot of creative thinking about what that will mean to industries. What is it going to do to your workforce? I’m very interested in how we think about workforce retraining and how we’re going to provide meaningful work to many people going forward. What new opportunities will we have?” The future of AI, the definition of AGI, is a big one, and we’re not as near as many folks would prefer, Oren said, but along the way we’ll see exciting new technology leaps, and six major disruption pillars: the next generation of AI beyond its current capabilities, the future of data platforms, robotics, quantum computing, next-generation Enterprise UX, and the future of cloud architecture around data privacy. “The transformer architecture in this generation is nothing compared to what’s coming,” he said. “A new type of meta-learning. AI learning to evolve and create agents by itself. Emotional AI. The future of AI, the definition of AGI, is a big one.” The future of data itself is also critical. We’re approaching the limits of real-world data — even sources like Wikipedia have already been fully absorbed by AI models. To drive the next leap in AI progress, synthetic data generation and improving data quality will be essential. Then there’s robotics which is evolving rapidly — we learned from recent innovation like DeepSeek that you can do “more with less” and install very powerful AI on the edge. Quantum will help create a paradigm shift in how we run process optimization and simulation.  And the future of enterprise UX will be another disruption which will provide users new type of personalization, adaption of screens to specific context, and an immersive experience. “My kids’ generation is going to hit the workforce after 2030. What’s going to be their UX paradigm?” Oren said. “They need an emotional connection for screens. They need adaptive screens. This is totally different from what we do today.”

Yesterday’s emerging tech is now essential to business success — and the next wave is coming fast. To maintain competitive advantage through the next five years, which innovations must forward-thinking companies prioritize right now?

At VentureBeat’s Transform 2025, Yaad Oren, global head of SAP research & innovation and Emma Brunskill, associate professor of computer science at Stanford, spoke with moderator Susan Etlinger, senior director, strategy and thought leadership, Azure AI Microsoft, about the strategies needed today, for tomorrow’s transformative technology.

How the current landscape will shape the future

The fourth generation of AI — generative AI — marks a paradigm shift in what AI brings to the table, Oren said, outlining three major places it’s bringing significant value and disruption to the enterprise. The first is the user experience and how people interact with software. The second is automation on the application layer — SAP has embedded approximately 230 AI capabilities and agents inside its applications, and plan increase this number to 400 by the end of 2025, to drive increased productivity and reduce costs. The third area is the platform — the core engine that powers each enterprise — which raises new questions about the developer experience, as well as privacy and trust.

“We see a lot of disruption around UX, the application, and the platform itself that provides all the tools to deal with this new treasure trove of options AI provides to enterprises,” Oren summed up.

For Brunskill, the big question is how AI can integrate with humans to drive societal value, rather than acting like a thief of human creativity and ingenuity. A recent study found that if the enterprise framed AI tools as productivity enhancing, people will use them much less frequently than if they’re framed as task enhancing.

“That’s a pretty big take-home as we think about how to translate some of the extraordinary capabilities of these systems into systems that drive value for customers, for organizations and others,” Brunskill said. “We need to think about how these are framed.”

Business value at the enterprise level should be top of mind, Oren added, and that means even as technology evolves, AI in the enterprise needs to go beyond technology for technology’s sake. The sexiest new technology often delivers the least value.

“What you see today is a proliferation of many solutions out there that create great jumping avatars in movies that look amazing, but the value: how do you help the enterprise reduce costs? How do you help the enterprise increase productivity or revenue? How are you able to mitigate risk?” he said. “This mindset is not fully there with AI. You always need to start with a business problem. Quantify the value you would like to achieve.”

Predictions for the future of AI

Artificial general intelligence (AGI) is a theoretical breakthrough in which AI will match or surpass human-level versatility and problem-solving capabilities across most cognitive tasks. The future of AI, and the definition of what AGI is, will be a big topic of discussion in the next few years.  

Brunskill defines it the point at which AI can do any sort of cognitive task at least as well as an average human in a profession.

“In terms of a lot of the white-collar jobs that just require cognitive processing, I think we’re going to make enormous strides in the next five years,” Brunskill said. “I don’t think we’re ready yet. I think we need to do a lot of creative thinking about what that will mean to industries. What is it going to do to your workforce? I’m very interested in how we think about workforce retraining and how we’re going to provide meaningful work to many people going forward. What new opportunities will we have?”

The future of AI, the definition of AGI, is a big one, and we’re not as near as many folks would prefer, Oren said, but along the way we’ll see exciting new technology leaps, and six major disruption pillars: the next generation of AI beyond its current capabilities, the future of data platforms, robotics, quantum computing, next-generation Enterprise UX, and the future of cloud architecture around data privacy.

“The transformer architecture in this generation is nothing compared to what’s coming,” he said. “A new type of meta-learning. AI learning to evolve and create agents by itself. Emotional AI. The future of AI, the definition of AGI, is a big one.”

The future of data itself is also critical. We’re approaching the limits of real-world data — even sources like Wikipedia have already been fully absorbed by AI models. To drive the next leap in AI progress, synthetic data generation and improving data quality will be essential.

Then there’s robotics which is evolving rapidly — we learned from recent innovation like DeepSeek that you can do “more with less” and install very powerful AI on the edge. Quantum will help create a paradigm shift in how we run process optimization and simulation.  And the future of enterprise UX will be another disruption which will provide users new type of personalization, adaption of screens to specific context, and an immersive experience.

“My kids’ generation is going to hit the workforce after 2030. What’s going to be their UX paradigm?” Oren said. “They need an emotional connection for screens. They need adaptive screens. This is totally different from what we do today.”

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

AMD warns of new Meltdown/Spectre-like CPU bugs

AMD itself isn’t terribly worried about them; two of the exploits are rated medium in the severity ratings while the other two are rated low. There are good reasons for the low severity scores. First, there is a high degree of complexity involved in a successful attack. AMD said it

Read More »

A timeline of Broadcom/VMware and Siemens licensing dispute

June 24: VMware responds, saying that Siemens distributed infringing VMware products to its US subsidiaries in violation of US copyright law by accessing VMware’s US server. July 1: Nah uh, says Siemens. First, any actions taken by the parent company occurred in Germany. Also, downloading allegedly copyrighted software does not

Read More »

JPMorgan launches carbon market blockchain app

Dive Brief: JPMorgan Chase is working to allow voluntary carbon markets to issue blockchain tokens at the registry level that represent ownership of carbon credits, permitting market participants to issue, transfer and retire credits, the bank announced Wednesday. JPMorgan is currently exploring testing processes with carbon registries from S&P Global

Read More »

Iberdrola RE Capacity Breaches 45 GW

Iberdrola SA’s global renewable energy capacity grew to 45,082 megawatts (MW) in the first half of 2025 and now accounts for 79 percent of the Spanish utility’s total generation capacity. The first six months of the year saw a four percent growth in new capacity compared to the same period in 2024. Iberdrola’s total capacity reached 57,273 MW after 1,800 MW were installed in the first half of 2025. Production rose 2.3 percent year-on-year to 66,300 gigawatt hours (gWh). “By country, the production increases at Iberdrola Energía Internacional (+15.7 percent) stand out, thanks to the 68 percent growth in offshore wind farms in France and Germany; in Brazil (+11.7 percent), driven by higher hydroelectric production; and in Spain (+6.4 percent), with growth in both renewable technologies (especially solar) and nuclear and combined cycles”, it said in a statement online. Offshore wind output increased 42 percent in the second quarter compared to the same period last year, while solar generation in the second quarter climbed 57.4 percent year-on-year. Earlier its subsidiary Avangrid Inc. reported that Iberdrola’s total installed capacity in the U.S. reached approximately 10,500 MW in the first half of 2025. Iberdrola said it is “generating 91 percent of its production in Spain without emissions and 100 percent in countries such as the United Kingdom, the United States, Australia, Brazil, France, Italy, Germany, Poland, Portugal and Greece”. Iberdrola said it has set a new record in electricity distribution for the January-June period. Power distribution in the first half of 2025 exceeded 124,200 gWh, up 4.8 percent year-over-year. The United Kingdom led the growth, logging an increase of over 30 percent to more than 20,000 gWh thanks to the integration of Electricity North West Ltd. (ENW), Iberdrola said. Iberdrola acquired ENW last year for around EUR 5 billion ($5.8 billion), increasing the number of its UK

Read More »

Oregon legislature passes first-in-nation microgrid framework

Dive Brief: Oregon lawmakers have passed two bills that experts say will make communities more resilient as the state’s grid faces rising electricity demand, more frequent extreme weather events and repeated public safety power shutoffs to mitigate wildfire risk. HB 2065 and HB 2066 establish “a first-in-the nation strategy to create a regulatory framework for building microgrids,” smaller-scale power networks that can operate independently from the main grid, Portland-based nonprofit Sustainable Northwest said June 27. “Oregon has passed the most ambitious microgrid legislation in the nation,” Dylan Kruse, president of nonprofit Sustainable Northwest, said in a statement. “These bills pave the way for clean energy innovation to support community resilience, energy independence, and cost savings across the state.” Dive Insight: The Oregon House of Representatives and Senate passed both measures with broad bipartisan support last month. Democratic Gov. Tina Kotek is expected to sign them soon, Kruse said in an email. HB 2065 aims to reduce bottlenecks to microgrid deployment by allowing third-party consultants or contractors to evaluate customer requests to connect to the public power grid and by requiring public utilities to approve or deny microgrid applications “based on safety, reliability and compliance with published standards.” HB 2066 directs the Oregon Public Utility Commission to establish a regulatory framework for community-owned and private microgrids. It also requires the Department of Consumer and Business Services to set rules allowing existing buildings to connect to community microgrids and allows local governments to designate “microgrid zones” with special land-use regulations, subject to local utility or OPUC approval. The two bills are more “ambitious and comprehensive” than other recent microgrid legislation, Kruse said in an interview. “We’ve seen other states take swings at pieces of this, but more in pilot form,” he said. Though implementation will likely take a year or two, depending on

Read More »

Trump’s Tax Law Throws Lifeline to Unloved Energy and Climate Sectors

President Donald Trump’s sweeping $3.4 trillion fiscal package is already creating opportunities for segments of the energy and climate industries that had fallen out of favor, struggled to grow or haven’t managed to break through. The tax and spending law signed on July 4 provides a lifeline to a coal industry that’s long been squeezed by cheaper renewable and natural gas-fired power. The law provides a boost to nuclear — a sector that had regained investor and political support before Trump’s return to the White House, but has yet to translate that enthusiasm into much domestic growth in electric capacity. And the law may actually help advance an unproven and risky planet-cooling system that has lived in the shadows for decades — geoengineering. Coal While Trump has consistently supported coal, the industry struggled during his first term. The new law, however, directly and indirectly takes steps to arrest its decline. The legislation phases out tax credits for wind and solar, which may diminish their economic edge over coal. It also adds metallurgical coal that’s used to make steel to the list of critical minerals qualifying for tax credits. The law is the latest Trump move to prop up the fossil fuel. In April, he signed an executive order pushing for coal-fired electricity for data centers. His administration also intervened to stop the retirement of a coal-fired power plant. Industry supporters hailed the decision as a way to cushion an occasionally stressed electric grid, but the carbon emissions from burning the dirtiest fossil fuel endanger the climate. Such a move also risks increasing local energy prices, says Leah Stokes, an associate professor at the University of California, Santa Barbara, who specializes in energy and climate change. Nuclear Just a few years ago, aging nuclear reactors were facing down extinction. Now, the AI boom has revived interest in carbon-free power plants capable of providing round-the-clock electricity, leading to efforts to revive two shuttered plants. But only two

Read More »

ICYMI: Energy Secretary: The World Needs More Reliable American Energy

The Economist July 14, 2025 “Climate change is a by-product of progress, not an existential crisis, says Trump’s energy czar” By Chris Wright, Secretary of Energy Nearly every aspect of modern life depends upon energy. It fuels opportunity, lifts people out of poverty and saves lives. That is why, as a lifelong energy entrepreneur and as US Secretary of Energy, I am honoured to advance President Donald Trump’s policy of bettering lives through unleashing a golden age of energy dominance—both at home and around the world. Over the past two centuries, two forces dramatically transformed the human condition: the rise of bottom-up social organisation—human liberty—and the explosion in the supply of affordable energy. The result has been a doubling in life expectancy. In the same period, extreme poverty has plummeted from affecting 90% of the world’s population to under 10%. Energy and human liberty matter. The world needs more energy—in particular, more American energy. The growth of American energy production is a win for our citizens, for our geopolitical standing and for our allies. We need energy that is affordable, reliable and secure.This administration is focused on energy addition, not subtraction—a complete reversal from the previous four years. By the time President Trump took office, American energy had become more uncertain, more expensive and less reliable. One in five American households were struggling to pay their energy bills. Half of the electric grid faced the risk of blackouts. In the name of a single risk—climate change—the Biden administration launched a regulatory assault aimed at eliminating hydrocarbons in favour of so-called renewables.. . .Was this damage at least offset by progress with Joe Biden’s promise to green the economy? In short, no. Hydrocarbons made up 82% of American primary energy consumption in 2024, nearly the same as in 2019. Hydrocarbons are

Read More »

WTI Slips Below $67 Amid Global Tariff Turmoil

Oil fell as US President Donald Trump reignited his global trade war, while his latest plan to pressure Russia into a ceasefire with Ukraine didn’t include new measures aimed directly at hindering Moscow’s energy exports. West Texas Intermediate fell 2.1% to settle below $67 a barrel after Trump threatened 100% “secondary” tariffs on countries that do business with Russia if there’s no ceasefire in 50 days. But he didn’t announce direct sanctions on the nation’s oil shipments, which traders had speculated might be coming when Trump promised a “major statement” on Russia last week. Secondary tariffs are difficult to enforce, and investors have limited conviction that they’ll stick, said Joe DeLaura, global energy strategist at Rabobank. Before Trump released his new Russia plan, oil had gained as much as 1.8%. “The only thing that would have supported this rally would have been some sort of direct US escalation against the Russian oil or gas industry,” he added. In another headwind, Trump threatened 30% tariffs on goods from the European Union and Mexico over the weekend, damping the outlook for energy demand. The president’s barrage of tariff demand letters last week contained some of the highest tax rates yet on major US trading partners. The attacks revived concerns that energy demand would deteriorate and added to widespread expectations of a glut later this year, leading hedge funds to turn bearish on oil at the fastest pace since February last week. In the near-term, though, demand appears to be holding. China ended the first half of the year with a record trade surplus, with factories riding out the tariff roller-coaster. The trade data also showed that crude imports have risen so far this year. The country’s purchases of Iranian barrels jumped in June, according to data from Vortexa. Oil is still more

Read More »

Slovakia Seeks Deal on Russian Gas, Sanctions by Tue

Slovakia aims to reach a solution on guarantees against the impact of a planned halt in Russian gas imports – a condition for backing the European Union’s 18th sanctions package against Moscow – by Tuesday, Prime Minister Robert Fico said on Saturday. Fico said he discussed the issue with German Chancellor Friedrich Merz on Saturday morning, describing the talks as “extremely tough.”  Slovakia has been blocking the adoption of the EU’s latest sanctions package against Russia for its war against Ukraine since June, insisting that the European Commission first provide guarantees to offset the potential negative impact of a separate proposal to stop Russian gas imports from 2028. “We want to resolve this by Tuesday because tensions are rising on all sides,” Fico told journalists in Bratislava, reiterating his opposition to cutting off Russian gas supplies. He warned that such a move would drive up energy prices and hurt Slovakia’s competitiveness. European Union foreign ministers are scheduled to meet on Tuesday and could vote on the new sanctions package then.  If Slovakia doesn’t receive the necessary guarantees, it’s prepared to continue blocking the approval of sanctions, Fico said.  Fico has called on the EU to prepare measures to ease high transit costs, provide financial support for households and industry in case of rising energy prices, and to offer legal guarantees in the event Slovakia faces arbitration from Russia’s Gazprom over a potential breach of contract – worth EUR 16 billion ($18.7 billion). Slovakia, a landlocked Eastern European country that borders Ukraine, holds a long-term gas contract with Gazprom that runs through 2034. It continues to receive Russian gas via the southern route through TurkStream and Hungary. With transit through Ukraine now halted, Russian deliveries account for less than half of Slovakia’s gas imports, as the country of some 5.4 million people works to

Read More »

Intel CEO: We are not in the top 10 semiconductor companies

The Q&A session came on the heels of layoffs across the company. Tan was hired in March, and almost immediately he began to promise to divest and reduce non-core assets. Gelsinger had also begun divesting the company of losers, but they were nibbles around the edge. Tan is promising to take an axe to the place. In addition to discontinuing products, the company has outsourced marketing and media relations — for the first time in more than 25 years of covering this company, I have no internal contacts at Intel. Many more workers are going to lose their jobs in coming weeks. So far about 500 have been cut in Oregon and California but many more is expected — as much as 20% of the overall company staff may go, and Intel has over 100,000 employees, according to published reports. Tan believes the company is bloated and too bogged down with layers of management to be reactive and responsive in the same way that AMD and Nvidia are. “The whole process of that (deciding) is so slow and eventually nobody makes a decision,” he is quoted as saying. Something he has decided on is AI, and he seems to have decided to give up. “On training, I think it is too late for us,” Tan said, adding that Nvidia’s position in that market is simply “too strong.” So there goes what sales Gaudi3 could muster. Instead, Tan said Intel will focus on “edge” artificial intelligence, where AI capabilities Are brought to PCs and other remote devices rather than big AI processors in data centers like Nvidia and AMD are doing. “That’s an area that I think is emerging, coming up very big and we want to make sure that we capture,” Tan said.

Read More »

AMD: Latest news and insights

Survey: AMD continues to take server share from Intel May 20, 2025: AMD continues to take market share from Intel, growing at a faster rate and closing the gap between the two companies to the narrowest it has ever been. AMD, Nvidia partner with Saudi startup to build multi-billion dollar AI service centers May 15, 2025: As part of the avalanche of business deals that came from President Trump’s Middle East tour, both AMD and Nvidia have struck multi-billion dollar deals with an emerging Saudi AI firm. AMD targets hosting providers with affordable EPYC 4005 processors May 14, 2025: AMD launched its latest set of data center processors, targeting hosted IT service providers. The EPYC 4005 series is purpose-built with enterprise-class features and support for modern infrastructure technologies at an affordable price, the company said. Jio teams with AMD, Cisco and Nokia to build AI-enabled telecom platform March 18, 2025: Jio has teamed up with AMD, Cisco and Nokia to build an AI-enabled platform for telecom networks. The goal is to make networks smarter, more secure and more efficient to help service providers cut costs and develop new services. AMD patches microcode security holes after accidental early disclosure February 3, 2025: AMD issued two patches for severe microcode security flaws, defects that AMD said “could lead to the loss of Secure Encrypted Virtualization (SEV) protection.” The bugs were inadvertently revealed by a partner.

Read More »

Nvidia hits $4T market cap as AI, high-performance semiconductors hit stride

“The company added $1 trillion in market value in less than a year, a pace that surpasses Apple and Microsoft’s previous trajectories. This rapid ascent reflects how indispensable AI chipmakers have become in today’s digital economy,” Kiran Raj, practice head, Strategic Intelligence (Disruptor) at GlobalData, said in a statement. According to GlobalData’s Innovation Radar report, “AI Chips – Trends, Market Dynamics and Innovations,” the global AI chip market is projected to reach $154 billion by 2030, growing at a compound annual growth rate (CAGR) of 20%. Nvidia has much of that market, but it also has a giant bullseye on its back with many competitors gunning for its crown. “With its AI chips powering everything from data centers and cloud computing to autonomous vehicles and robotics, Nvidia is uniquely positioned. However, competitive pressure is mounting. Players like AMD, Intel, Google, and Huawei are doubling down on custom silicon, while regulatory headwinds and export restrictions are reshaping the competitive dynamics,” he said.

Read More »

Enterprises will strengthen networks to take on AI, survey finds

Private data centers: 29.5% Traditional public cloud: 35.4% GPU as a service specialists: 18.5% Edge compute: 16.6% “There is little variation from training to inference, but the general pattern is workloads are concentrated a bit in traditional public cloud and then hyperscalers have significant presence in private data centers,” McGillicuddy explained. “There is emerging interest around deploying AI workloads at the corporate edge and edge compute environments as well, which allows them to have workloads residing closer to edge data in the enterprise, which helps them combat latency issues and things like that. The big key takeaway here is that the typical enterprise is going to need to make sure that its data center network is ready to support AI workloads.” AI networking challenges The popularity of AI doesn’t remove some of the business and technical concerns that the technology brings to enterprise leaders. According to the EMA survey, business concerns include security risk (39%), cost/budget (33%), rapid technology evolution (33%), and networking team skills gaps (29%). Respondents also indicated several concerns around both data center networking issues and WAN issues. Concerns related to data center networking included: Integration between AI network and legacy networks: 43% Bandwidth demand: 41% Coordinating traffic flows of synchronized AI workloads: 38% Latency: 36% WAN issues respondents shared included: Complexity of workload distribution across sites: 42% Latency between workloads and data at WAN edge: 39% Complexity of traffic prioritization: 36% Network congestion: 33% “It’s really not cheap to make your network AI ready,” McGillicuddy stated. “You might need to invest in a lot of new switches and you might need to upgrade your WAN or switch vendors. You might need to make some changes to your underlay around what kind of connectivity your AI traffic is going over.” Enterprise leaders intend to invest in infrastructure

Read More »

CoreWeave acquires Core Scientific for $9B to power AI infrastructure push

Such a shift, analysts say, could offer short-term benefits for enterprises, particularly in cost and access, but also introduces new operational risks. “This acquisition may potentially lower enterprise pricing through lease cost elimination and annual savings, while improving GPU access via expanded power capacity, enabling faster deployment of Nvidia chipsets and systems,” said Charlie Dai, VP and principal analyst at Forrester. “However, service reliability risks persist during this crypto-to-AI retrofitting.” This also indicates that struggling vendors such as Core Scientific and similar have a way to cash out, according to Yugal Joshi, partner at Everest Group. “However, it does not materially impact the availability of Nvidia GPUs and similar for enterprises,” Joshi added. “Consolidation does impact the pricing power of vendors.” Concerns for enterprises Rising demand for AI-ready infrastructure can raise concerns among enterprises, particularly over access to power-rich data centers and future capacity constraints. “The biggest concern that CIOs should have with this acquisition is that mature data center infrastructure with dedicated power is an acquisition target,” said Hyoun Park, CEO and chief analyst at Amalgam Insights. “This may turn out to create challenges for CIOs currently collocating data workloads or seeking to keep more of their data loads on private data centers rather than in the cloud.”

Read More »

CoreWeave achieves a first with Nvidia GB300 NVL72 deployment

The deployment, Kimball said, “brings Dell quality to the commodity space. Wins like this really validate what Dell has been doing in reshaping its portfolio to accommodate the needs of the market — both in the cloud and the enterprise.” Although concerns were voiced last year that Nvidia’s next-generation Blackwell data center processors had significant overheating problems when they were installed in high-capacity server racks, he said that a repeat performance is unlikely. Nvidia, said Kimball “has been very disciplined in its approach with its GPUs and not shipping silicon until it is ready. And Dell almost doubles down on this maniacal quality focus. I don’t mean to sound like I have blind faith, but I’ve watched both companies over the last several years be intentional in delivering product in volume. Especially as the competitive market starts to shape up more strongly, I expect there is an extremely high degree of confidence in quality.” CoreWeave ‘has one purpose’ He said, “like Lambda Labs, Crusoe and others, [CoreWeave] seemingly has one purpose (for now): deliver GPU capacity to the market. While I expect these cloud providers will expand in services, I think for now the type of customer employing services is on the early adopter side of AI. From an enterprise perspective, I have to think that organizations well into their AI journey are the consumers of CoreWeave.”  “CoreWeave is also being utilized by a lot of the model providers and tech vendors playing in the AI space,” Kimball pointed out. “For instance, it’s public knowledge that Microsoft, OpenAI, Meta, IBM and others use CoreWeave GPUs for model training and more. It makes sense. These are the customers that truly benefit from the performance lift that we see from generation to generation.”

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 »