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The Download: California’s AI power plans, and and why it’s so hard to make welfare AI fair

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. California is set to become the first US state to manage power outages with AI California’s statewide power grid operator is poised to become the first in North America to deploy artificial intelligence to manage outages, MIT Technology Review has learned.  At an industry summit in Minneapolis tomorrow, the California Independent System Operator is set to announce a deal to run a pilot program using new AI software called Genie, from the energy-services giant OATI.  The software uses generative AI to analyze and carry out real-time analyses for grid operators and comes with the potential to autonomously make decisions about key functions on the grid, a switch that might resemble going from uniformed traffic officers to sensor-equipped stoplights. Read the full story. —Alexander C. Kaufman Why it’s so hard to make welfare AI fair There are plenty of stories about AI that’s caused harm when deployed in sensitive situations, and in many of those cases, the systems were developed without much concern to what it meant to be fair or how to implement fairness.But the city of Amsterdam did spend a lot of time and money to try to create ethical AI—in fact, it followed every recommendation in the responsible AI playbook. But when it deployed it in the real world, it still couldn’t remove biases. So why did Amsterdam fail? And more importantly: Can this ever be done right?Join our editor Amanda Silverman, investigative reporter Eileen Guo and Gabriel Geiger, an investigative reporter from Lighthouse Reports, for a subscriber-only Roundtables conversation at 1pm ET on Wednesday July 30 to explore if algorithms can ever be fair. Register here! The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Trump’s ‘big, beautiful bill’ is already hurting sick childrenAnd hundreds of hospitals are likely to close, too. (New Yorker $)+ His administration is going after easy targets, which includes sick children. (Salon $) 2 The US overseas worker purge is hitting Amazon hardIts warehouse employees are losing their right to work in the US. (NYT $)+ The US State Department has fired more than 1,350 workers so far. (Reuters) 3 Nvidia’s CEO claims China’s military probably won’t use its AI chipsBut then he would say that, wouldn’t he. (Bloomberg $)+ Even after the Trump administration has eased chip software tool export restrictions. (FT $)+ Rival Huawei is planning a major AI chip overhaul. (The Information $) 4 Scientists are reportedly hiding LLM instructions in their papers Instructing models to give their work positive peer reviews. (The Guardian) 5 Amazon is dragging its heels launching its web version of AlexaIt appears the company underestimated just how much work they had to do. (WP $) 6 SpaceX’s revenue is on the up As Tesla continues to struggle. (WSJ $)+ Musk is not in favor of merging Tesla with xAI. (Reuters)+ Trump is still planning to slash NASA’s budget. (The Atlantic $)+ Rivals are rising to challenge the dominance of SpaceX. (MIT Technology Review) 7 The Air India crash was caused by a cut in the plane’s fuel supplyCockpit voice recordings reveal that one pilot asked another why he’d cut off the supply. (CNN) 8 The UK’s attempt to ape DOGE isn’t going wellCouncils are already blocking Reform UK’s attempts to access sensitive data. (FT $)+ DOGE’s tech takeover threatens the safety and stability of our critical data. (MIT Technology Review) 9 Even crypto executives can fall for crypto scamsJust ask the top brass from MoonPay, which lost $250,000 worth of Ethereum. (The Verge)+ The people using humour to troll their spam texts. (MIT Technology Review) 10 Why landline phones refuse to die 📞The business world still loves them. (WSJ $) Quote of the day “We don’t like to work like that. I’m a Buddhist, so I believe in karma. I don’t want to steal anyone’s money.” —A man forced to work in an online scam center in Myanmar recounts his experience to Nikkei. One more thing China wants to restore the sea with high-tech marine ranchesA short ferry ride from the port city of Yantai, on the northeast coast of China, sits Genghai No. 1, a 12,000-metric-ton ring of oil-rig-style steel platforms, advertised as a hotel and entertainment complex.Genghai is in fact an unusual tourist destination, one that breeds 200,000 “high-quality marine fish” each year. The vast majority are released into the ocean as part of a process known as marine ranching.The Chinese government sees this work as an urgent and necessary response to the bleak reality that fisheries are collapsing both in China and worldwide. But just how much of a difference can it make? Read the full story. —Matthew Ponsford We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.) + You can easily make ice cream at home with just two ingredients. + Pink Floyd fans, this lecture is for you. + Lose yourself for a few minutes in the story behind an ancient Indian painting. (NYT $)+ Remember the days of idly surfing the web? Here’s how you can still recreate them.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

California is set to become the first US state to manage power outages with AI

California’s statewide power grid operator is poised to become the first in North America to deploy artificial intelligence to manage outages, MIT Technology Review has learned. 

At an industry summit in Minneapolis tomorrow, the California Independent System Operator is set to announce a deal to run a pilot program using new AI software called Genie, from the energy-services giant OATI. 

The software uses generative AI to analyze and carry out real-time analyses for grid operators and comes with the potential to autonomously make decisions about key functions on the grid, a switch that might resemble going from uniformed traffic officers to sensor-equipped stoplights. Read the full story.

—Alexander C. Kaufman

Why it’s so hard to make welfare AI fair

There are plenty of stories about AI that’s caused harm when deployed in sensitive situations, and in many of those cases, the systems were developed without much concern to what it meant to be fair or how to implement fairness.

But the city of Amsterdam did spend a lot of time and money to try to create ethical AI—in fact, it followed every recommendation in the responsible AI playbook. But when it deployed it in the real world, it still couldn’t remove biases. So why did Amsterdam fail? And more importantly: Can this ever be done right?

Join our editor Amanda Silverman, investigative reporter Eileen Guo and Gabriel Geiger, an investigative reporter from Lighthouse Reports, for a subscriber-only Roundtables conversation at 1pm ET on Wednesday July 30 to explore if algorithms can ever be fair. Register here!

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Trump’s ‘big, beautiful bill’ is already hurting sick children
And hundreds of hospitals are likely to close, too. (New Yorker $)
+ His administration is going after easy targets, which includes sick children. (Salon $)

2 The US overseas worker purge is hitting Amazon hard
Its warehouse employees are losing their right to work in the US. (NYT $)
+ The US State Department has fired more than 1,350 workers so far. (Reuters)

3 Nvidia’s CEO claims China’s military probably won’t use its AI chips
But then he would say that, wouldn’t he. (Bloomberg $)
+ Even after the Trump administration has eased chip software tool export restrictions. (FT $)
+ Rival Huawei is planning a major AI chip overhaul. (The Information $)

4 Scientists are reportedly hiding LLM instructions in their papers 
Instructing models to give their work positive peer reviews. (The Guardian)

5 Amazon is dragging its heels launching its web version of Alexa
It appears the company underestimated just how much work they had to do. (WP $)

6 SpaceX’s revenue is on the up 
As Tesla continues to struggle. (WSJ $)
+ Musk is not in favor of merging Tesla with xAI. (Reuters)
+ Trump is still planning to slash NASA’s budget. (The Atlantic $)
+ Rivals are rising to challenge the dominance of SpaceX. (MIT Technology Review)

7 The Air India crash was caused by a cut in the plane’s fuel supply
Cockpit voice recordings reveal that one pilot asked another why he’d cut off the supply. (CNN)

8 The UK’s attempt to ape DOGE isn’t going well
Councils are already blocking Reform UK’s attempts to access sensitive data. (FT $)
+ DOGE’s tech takeover threatens the safety and stability of our critical data. (MIT Technology Review)

9 Even crypto executives can fall for crypto scams
Just ask the top brass from MoonPay, which lost $250,000 worth of Ethereum. (The Verge)
+ The people using humour to troll their spam texts. (MIT Technology Review)

10 Why landline phones refuse to die 📞
The business world still loves them. (WSJ $)

Quote of the day

“We don’t like to work like that. I’m a Buddhist, so I believe in karma. I don’t want to steal anyone’s money.”

—A man forced to work in an online scam center in Myanmar recounts his experience to Nikkei.

One more thing

China wants to restore the sea with high-tech marine ranches

A short ferry ride from the port city of Yantai, on the northeast coast of China, sits Genghai No. 1, a 12,000-metric-ton ring of oil-rig-style steel platforms, advertised as a hotel and entertainment complex.

Genghai is in fact an unusual tourist destination, one that breeds 200,000 “high-quality marine fish” each year. The vast majority are released into the ocean as part of a process known as marine ranching.

The Chinese government sees this work as an urgent and necessary response to the bleak reality that fisheries are collapsing both in China and worldwide. But just how much of a difference can it make? Read the full story.

—Matthew Ponsford

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)

+ You can easily make ice cream at home with just two ingredients
+ Pink Floyd fans, this lecture is for you. 
+ Lose yourself for a few minutes in the story behind an ancient Indian painting. (NYT $)
+ Remember the days of idly surfing the web? Here’s how you can still recreate them.

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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

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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

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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

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Eni, Khazna Partner for AI Data Center Campus in Italy

Eni S.p.A. has signed a Heads of Terms (HoT) with hyperscale digital infrastructure specialist Khazna Data Centers. The HoT lays the groundwork for a joint venture aimed at developing an AI Data Center Campus with a total IT capacity of 500 megawatts in Ferrera Erbognone, Lombardy, Eni said in a media release. “We’re proud to partner with Eni, a demonstrated energy leader, on this HoT, which represents a defining step in Khazna’s European expansion. Together with Eni, we are enabling the infrastructure needed for exponential AI growth – delivering the scale, sustainability, and operational precision that next-generation compute demands”, Hassan Alnaqbi, CEO of Khazna Data Centers, said. The project, whose development activities are already underway, is part of the strategic partnership between Italy and the United Arab Emirates launched in February 2025, aimed at installing an overall IT capacity of up to 1 gigawatt in Italy, Eni added. “Through this partnership Eni and Khazna are jointly contributing to delivering a world-class hyperscale infrastructure, strategic for Italy and Europe, providing their distinctive capabilities in innovation, energy sustainability, and rapid time-to-market”, Guido Brusco, Eni COO for Global Natural Resources, said. The AI Data Center Campus is planned to deploy scalable, high-performance computing and energy-efficient infrastructure, Eni said. The partnership leverages Khazna’s expertise in advanced data center design and operations and Eni’s leadership in sustainable energy, establishing a robust AI ecosystem at Europe’s core, Eni said. Eni will supply the Data Center Campus with Blue Power, a low-carbon electricity source produced by a new high-efficiency gas power plant designed to capture carbon dioxide emissions, Eni said. The company said this creates an innovative synergy linking decarbonized energy and data center design in Italy. To contact the author, email [email protected] What do you think? We’d love to hear from you, join the conversation on the

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SS-2H IP60 Flow Rate Sets Beetaloo Basin Record

Tamboran Resources Corporation has reported that the Shenandoah South 2H sidetrack (SS-2H ST1) well achieved an average 60-day initial production (IP60) flow rate of 6.8 million cubic feet per day (MMcf/d), a Beetaloo Basin record. “This result is a new Beetaloo Basin record and is more than double the previous IP60 record set by the SS-1H well in 2024,” Joel Riddle, Tamboran Chief Executive Officer, said in a stock filing. Tamboran added that the exit rate maintains a steady, low-declining curve at 6.4 MMcf/d with a flowing wellhead pressure of 720 psi and has exhibited less decline than that of the SS-1H well over the last 30 days of testing. This also confirms the company’s view of commercial deliverability from the Beetaloo Basin to the Australian domestic East Coast gas market. Tamboran also said it had commenced the three-well 2025 Shenandoah South Pilot Project drilling program with the spudding of the Shenandoah South 4H well. The wells are being drilled by the Helmerich & Payne super-spec FlexRig Flex 3 Rig from the SS2 pad in Exploration Permit 98. “We have now commenced the largest planned drilling program in the Beetaloo Basin to date, with three wells to be drilled back-to-back with a total combined horizontal section of 30,000 feet”, Riddle said. “These three wells are the last remaining wells required to be drilled as part of Tamboran’s commitment to deliver 40 MMcf/d to the local market under our gas sales contract with the Northern Territory Government. With over 90 percent of electricity in the Northern Territory market supplied from gas-fired power generation, our contract with the NTG is expected to play a major role in delivering energy security for all Territorians”, he said. Tamboran said that through its subsidiaries, it is the largest acreage holder and operator with approximately 1.9

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Aker BP Posts Lower Q2 Revenue Compared to Q1

Aker BP ASA on Tuesday reported $2.53 billion in revenue for the second quarter, down from $3.15 billion for Q1 as production and prices fell. Net liquids and natural gas output averaged 415,000 barrels of oil equivalent a day (boed) in the April-June period, down from 441,400 boed in the prior three-month period. “The reduction was primarily driven by scheduled maintenance at Valhall and Ula. As a result, average production efficiency across the portfolio decreased slightly to 95 percent, from 97 percent in the previous quarter”, the Norwegian continental shelf explorer and producer said in its quarterly report. Despite the decrease in Q2 production, Aker BP raised its full-year production guidance to 400,000-420,000 boed from 390,000-420,000 boed. “The field development portfolio remains firmly on track. Updated baseline estimates confirm steady progress, with several smaller projects advancing ahead of schedule”, it said. Chief executive Johnny Hersvik said in a statement, “The final investment decisions on Johan Sverdrup Phase 3 and East Frigg this quarter further demonstrate our ability to turn strategy into action and lay the foundation for future growth”. Aker BP sold 413,800 boed net in Q2, down from 457,600 boed in Q1. Liquids accounted for 356,200 boed of Q2 sales. “The sales volume reflected an underlift of 1.1 mboepd [thousand barrels of oil equivalent per day], compared to an overlift of 16.1 mboepd in the previous quarter”, it said. Realized liquids prices averaged $66.9 per boe, down from $75 per boe in Q1. Realized gas prices dropped from $85.2 per boe to $68.7 per boe. The average production cost per barrel was $7.3, up from $6.5 in Q1. Aker BP logged a net loss of $324 million ($0.51 per share) for Q2, compared to a net profit of $316 million for Q1. It attributed the net loss to a

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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

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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

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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

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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.

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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.

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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.

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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

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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.”

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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.”

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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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