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Monumental to Invest in More Oil Production Restarts in New Zealand

Monumental Energy Corp said Wednesday it has agreed to fund New Zealand Energy Corp’s (NZEC) share of workover costs to restart flows at several wells in the Waihapa/Ngaere field in the onshore Taranaki basin. “These workovers will follow the same royalty structure as that established for the successful Copper Moki programs, whereas Monumental will earn […]

Monumental Energy Corp said Wednesday it has agreed to fund New Zealand Energy Corp’s (NZEC) share of workover costs to restart flows at several wells in the Waihapa/Ngaere field in the onshore Taranaki basin.

“These workovers will follow the same royalty structure as that established for the successful Copper Moki programs, whereas Monumental will earn a 25 percent royalty on NZEC’s production share after full recovery of its capital investment, which will be repaid from 75 percent of NZEC’s net revenue interest”, Vancouver, Canada-based Monumental said in a press release. Monumental is a shareholder in NZEC.

L&M Energy will shoulder the remaining part as NZEC’s equal partner in the campaign, Monumental said.

The workovers involve the Waihapa-H1 well and the Ngaere 1, 2, and 3 wells.

“The Waihapa-H1 well, drilled in the early 2000s, initially flowed oil at rates of approximately 1,500 barrels per day from fracture porosity within the Tikorangi horizontal section”, Monumental said. “Production ceased due to a collapse in the upper section of the wellbore.

“A workover program proposed to return the well to production includes jetting clean-out and the installation of new tubing. The well site is located approximately 600 meters from, and easily connected to, the Waihapa production facility.

“The Ngaere 1, 2, and 3 wells historically produced oil from the Tikorangi Formation. However, a review of electric logs and drilling data has identified multiple shallower, hydrocarbon-charged sand intervals in each well that present opportunities for additional oil and gas production. A field redevelopment program has been designed to access and produce these bypassed pay zones.

“The steel casing in each well will be perforated at the target intervals, followed by production testing. All three wells are connected via existing pipelines to the Waihapa production and export facilities, allowing for immediate oil and gas sales upon successful completion.

“In the event of success, anticipated flow rates per well are expected to range from the tens to low hundreds of barrels of oil per day”.

Monumental vice president for corporate development and director Max Sali said, “This participation represents the continued advancement of Monumental’s strategy to generate non-dilutive, cash-flow-generating opportunities through partnerships in proven production assets”.

In late July Monumental restarted production at the Copper Moki-1 well, marking the completion of its workover campaign in Taranaki’s Copper Moki field with the earlier reactivation of Copper Moki-2, according to announcements by the company.

It said in an update August 19, “Both Copper Moki-1 and Copper Moki-2 have been onstream for almost a month delivering a combined production rate of approximately 125 barrels of oil per day. These rates continue to trend upward as pump speeds are gradually increased to optimize flow while preventing sand from entering the borehole”.

“In addition to oil production, both wells are now exporting associated gas to the neighboring Waihapa Production Station for processing and sale”, Monumental added.

Copper Moki started production 2011. Flows halted 2022, according to data from New Zealand’s Business, Innovation and Employment Ministry.

Monumental noted in the update, “At the time of the original drill program at Copper Moki, New Zealand faced a gas surplus, and the field remained isolated from the gas network. Today, the field has been fully integrated into the gas infrastructure, presenting a meaningful revenue opportunity that was previously unavailable”.

“CM-1 and CM-2 were originally shut-in due to mechanical issues over time, rather than any reservoir-related concerns. The wells required only standard maintenance, and equipment upgrades to resume production”, Monumental added.

Last year Monumental agreed to fund the workovers in NZEC’s Copper Moki. Monumental is entitled to 75 percent of revenue, net of production costs, until its investment is recovered. Afterward, it will receive a 25 percent net revenue interest or royalty in the permit, according to NZEC’s announcement of the deal October 28, 2024.

To contact the author, email [email protected]

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Three options for wireless power in the enterprise

Sensors such as these can be attached to pallets to track its location, says Srivastava. “People in Europe are very conscious about where their food is coming from and, to comply with regulations, companies need to have sensors on the pallets,” he says. “Or they might need to know that

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IBM unveils advanced quantum computer in Spain

IBM executives and officials from the Basque Government and regional councils in front of Europe’s first IBM Quantum System Two, located at the IBM-Euskadi Quantum Computational Center in San Sebastián, Spain. The Basque Government and IBM unveil the first IBM Quantum System Two in Europe at the IBM-Euskadi Quantum Computational

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Torch Clean Energy taps Fluence for 640 MWh battery at Arizona solar plant

Torch Clean Energy is developing two 80 MW solar arrays in Cochise County, Arizona, and has selected Fluence Energy to deliver a 160 MW / 640 MWh battery system to support the renewables, the companies announced Wednesday. The project is an example of the clean energy buildout expected across the United States. The U.S. Energy Information Administration expects domestic utility-scale battery storage to more than double over the next two years, to close out 2026 at nearly 65 GW. Torch’s project, dubbed “Winchester,” is expected to be online in 2027 and will support grid balancing and the forecasted load growth for the region, as well as economic development and local infrastructure investment, the companies said. Torch is a renewables developer focused on the U.S. Mid-Atlantic and Southwest, and has developed and solar more than 1.2 GW of green power assets. “Torch is excited to partner with Fluence to manufacture the energy storage system for our Winchester project,” said Torch President Travis Haggard. The battery “will allow us to shift cost-effective solar generation to be dispatched when the grid needs it most.” Fluence’s Gridstack Pro 5000 battery will include domestically manufactured enclosures, inverters and thermal management systems “to enable the full solar-plus-storage facility to qualify for domestic content tax credits,” the companies said. Fluence says it has more than 22 GWh of battery energy storage capacity deployed or contracted across projects in the U.S. “This facility is a great step toward ensuring affordable, reliable, and secure power for the local community and will support regional economic activity and expected load growth for many years to come,” Fluence Americas President John Zahurancik said in a statement.

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DOE closes $1.6B loan commitment for AEP transmission rebuild

Listen to the article 3 min This audio is auto-generated. Please let us know if you have feedback. Dive Brief: The U.S. Department of Energy’s Loan Programs Office said Thursday it has closed a $1.6 billion loan guarantee to a subsidiary of American Electric Power to reconductor and rebuild around 5,000 miles of transmission lines across Indiana, Michigan, Ohio, Oklahoma, and West Virginia. The conditional loan commitment was announced in January as part of $23 billion in assistance DOE offered to eight utilities for investments in transmission, energy storage, grid modernization and gas pipelines. The Trump administration has been reviewing loan commitments and grants finalized in the waning days of the Biden administration, charging that many were rushed through with inadequate review. Energy Secretary Chris Wright said the AEP loan will bolster reliability and “ensure lower electricity costs across the Midwestern region of the United States.” Dive Insight: DOE did not immediately respond to questions about the status of other loan guarantees announced in January. AEP is the first company to close a loan guarantee under the Energy Dominance Financing Program created by the One Big Beautiful Bill Act. President Trump signed the legislation into law earlier this year. The guarantee “was carefully evaluated” under new LPO guidance and “delivers on the Trump administration’s promise to responsibly steward taxpayer dollars and unleash American energy dominance,” DOE said in a statement. AEP is “experiencing growth in energy demand that has not been seen in a generation,” President, CEO and Chairman Bill Fehrman said in a statement. Customers have committed to 24 GW of electricity demand by the end of the decade, AEP said, and necessary upgrades have been identified to support data center, artificial intelligence and manufacturing development. Approximately 100 miles of transmission line across Ohio and Oklahoma are the first projects supported by

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HSBC Dubs BP 3Q Trading Statement ‘Mixed to Negative’

In a research note sent to Rigzone by the HSBC team late Tuesday, HSBC Senior Global Oil and Gas Analyst Kim Fustier said BP’s third quarter trading statement was “mixed to negative”. “Gas trading was ‘average’ (same as 2Q), while oil trading was ‘weak’ as oil price volatility subsided (implying a big delta vs ‘strong’ in 2Q),” Fustier said in the note. “On the positive side, 3Q oil and gas production is expected to be higher vs 2Q vs ‘slightly lower’ previously, thanks to U.S. onshore (BPX) growth. This is the second consecutive quarter when production will exceed initial guidance, which suggests good operational regularity, though the financial impact may be muted given low U.S. gas prices,” Fustier added. “In Downstream, stronger refining indicator margins ($15.8/b vs $11.9/b in 2Q) and ‘significantly lower’ turnarounds (as expected) are partly offset by environmental costs and the unplanned Whiting outage in August caused by severe weather,” Fustier continued. “Net debt is expected to be stable q-o-q at $26 billion including a working capital release, better than our forecast of a modest increase,” Fustier stated. In the research note, Fustier revealed that HSBC was raising its BP third quarter earnings forecast by four percent to $1.9 billion “as higher production and a positive refining mark-to-market are offset by weaker oil trading”. “Our updated forecast is slightly below consensus. We believe that 2Q marked the start of a recovery at BP. But as the mixed 3Q update shows, it will take several quarters of consistent delivery for BP to establish a track record,” Fustier said in the note. Rigzone has contacted BP for comment on the HSBC research note. At the time of writing, BP has not responded to Rigzone. In a release posted on its website on October 14, BP announced “updated third quarter

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Oracle Taps VoltaGrid for Data Center Power Infrastructure

VoltaGrid LLC said Wednesday it has secured an agreement with Oracle Corp to deliver technology to enable the supply of natural gas-derived electricity to the information technology major’s data centers. The Houston, Texas-based gas power solutions provider will deploy 2.3 gigawatts (GW) of “cutting-edge, ultra-low-emissions infrastructure, supplied by Energy Transfer’s pipeline network, to support the energy demands of Oracle Cloud Infrastructure’s (OCI) next-generation artificial intelligence (AI) data centers”, it said in a press release. “The VoltaGrid power infrastructure will be delivered through the proprietary VoltaGrid platform – a modular, high-transient-response system developed by VoltaGrid with key suppliers, including INNIO Jenbacher and ABB”. “This power plant deployment is being supplied with firm natural gas from Energy Transfer’s expansive pipeline and storage systems”, VoltaGrid added. OCI executive vice president Mahesh Thiagarajan said, “AI workloads are uniquely power-intensive and highly variable, often creating swings in demand. By collaborating with VoltaGrid, we’re engineering innovations that dampen these swings, making AI’s power usage more stable, predictable and grid-friendly”. “VoltaGrid’s platform joins OCI’s broad energy portfolio to bolster our leading-edge AI infrastructure with dependable power that can be effortlessly scaled”, Thiagarajan added. Earlier this year VoltaGrid and Vantage Data Centers signed an agreement to deploy over one GW of power generation capacity across the latter’s North American portfolio using VoltaGrid’s gas microgrid technology. “This collaboration will set a new benchmark for speed, reliability and energy access, meeting the growing demand for data center energy solutions driven by hyperscalers and large cloud providers without putting additional cost or strain on grid systems”, a joint statement said February 11. Vantage Data Centers operates campuses in the United States and Canada that electrify and connect cloud providers and large enterprises, according to the company. “Cloud and AI technologies require the rapid development of additional data center infrastructure”, commented Dana Adams,

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Ukraine Claims Russia Refinery Strike

Ukraine’s General Staff claimed a strike on Rosneft PJSC’s Saratov refinery as NATO allies ramp up pressure on Russia’s energy industry to bring President Vladimir Putin to the negotiating table. Ukrainian military forces attacked the facility in Russia’s Volga region overnight, the General Staff said in a statement on Telegram, without providing details on the extent of any damage. Bloomberg couldn’t independently verify the claim and Rosneft didn’t immediately respond to a request for a comment. In recent weeks, Ukraine has stepped up strikes on Russia’s energy infrastructure, from refineries to crude pipelines and sea terminals. The attacks come as the Kremlin has intensified its own assaults on Ukraine and shown little intention of negotiating an agreement to end the war. A number of countries are exerting pressure on Moscow to stop military actions and resume peace talks. The UK on Wednesday imposed sanctions on Russia’s two largest oil producers — Rosneft and Lukoil PJSC — as well as Chinese energy firms importing Russian crude and liquefied gas. Meanwhile US President Donald Trump said Indian Prime Minister Narendra Modi had vowed to halt purchases of Russian oil, even though the government in New Delhi later said consumer interests remain its top priority in shaping energy-import policy. The Saratov refinery is able to process about 140,000 barrels of crude a day. It’s a key supplier of gasoline and diesel to Russia’s European regions, where most of the country’s population lives. The facility has been a target of Ukrainian drones several times this year, most recently on Sept. 20. Since the start of August, Kiyv has carried out at least 30 attacks on Russian refineries, compared with 21 from January to July, according to data compiled by Bloomberg. It will continue such strikes, Defense Minister Denys Shmyhal told reporters in Brussels on Wednesday. WHAT DO YOU THINK? Generated

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SEB Expects OPEC to Cut Production Soon

In a report sent to Rigzone by the Skandinaviska Enskilda Banken AB (SEB) team on Tuesday, SEB Chief Commodities Analyst Bjarne Schieldrop outlined that SEB expects the OPEC group to cut production soon. “We … expect OPEC to implement cuts to avoid a large increase in inventories in Q1-26,” Schieldrop said in the report. “The group will probably revert to cuts either at its early December meeting when they discuss production for January or in early January when they discuss production for February,” he added. “The oil price will likely head yet lower until the group reverts to cuts,” Schieldrop warned. In the report, Schieldrop highlighted that, in its recently released monthly report, the International Energy Agency (IEA) “estimates that the need for crude oil from OPEC in 2026 will be 25.4 million barrels per day versus production by the group in September of 29.1 million barrels per day”. “The group thus needs to do some serious cutting at the end of 2025 if it wants to keep the market balanced and avoid inventories from skyrocketing – given that IEA is correct that is,” he added. “We do however expect OPEC to implement cuts,” Schieldrop highlighted in the SEB report. “We think OPEC(+) will trim/cut production as needed into 2026 to prevent a huge build-up in global oil stocks and a crash in prices but for now we are still heading lower. Into the $50ies per barrel,” he added. In a separate SEB report sent to Rigzone on October 7, Schieldrop said “the message from OPEC+ over the [October 4-5] weekend was we are still on a weakening path with rising supply from the group”. He added, however, that “there is nothing we have seen from the group so far which indicates that they will close their eyes, let the world drown

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Arm joins Open Compute Project to build next-generation AI data center silicon

Keeping up with the demand comes down to performance, and more specifically, performance per watt. With power limited, OEMs have become much more involved in all aspects of the system design, rather than pulling silicon off the shelf or pulling servers or racks off the shelf. “They’re getting much more specific about what that silicon looks like, which is a big departure from where the data center was ten or 15 years ago. The point here being is that they look to create a more optimized system design to bring the acceleration closer to the compute, and get much better performance per watt,” said Awad. The Open Compute Project is a global industry organization dedicated to designing and sharing open-source hardware configurations for data center technologies and infrastructure. It covers everything from silicon products to rack and tray design.  It is hosting its 2025 OCP Global Summit this week in San Jose, Calif. Arm also was part of the Ethernet for Scale-Up Networking (ESUN) initiative announced this week at the Summit that included AMD, Arista, Broadcom, Cisco, HPE Networking, Marvell, Meta, Microsoft, and Nvidia. ESUN promises to advance Ethernet networking technology to handle scale-up connectivity across accelerated AI infrastructures. Arm’s goal by joining OCP is to encourage knowledge sharing and collaboration between companies and users to share ideas, specifications and intellectual property. It is known for focusing on modular rather than monolithic designs, which is where chiplets come in. For example, customers might have multiple different companies building a 64-core CPU and then choose IO to pair it with, whether like PCIe or an NVLink. They then choose their own memory subsystem, deciding whether to go HBM, LPDDR, or DDR. It’s all mix and match like Legos, Awad said.

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BlackRock-Led Consortium to Acquire Aligned Data Centers in $40 Billion AI Infrastructure Deal

Capital Strategy and Infrastructure Readiness The AIP consortium has outlined an initial $30 billion in equity, with potential to scale toward $100 billion including debt over time as part of a broader AI infrastructure buildout. The Aligned acquisition represents a cornerstone investment within that capital roadmap. Aligned’s “ready-to-scale” platform – encompassing land, permits, interconnects, and power roadmaps – is far more valuable today than a patchwork of single-site developments. The consortium framed the transaction as a direct response to the global AI buildout crunch, targeting critical land, energy, and equipment bottlenecks that continue to constrain hyperscale expansion. Platform Overview: Aligned’s Evolution and Strategic Fit Aligned Data Centers has rapidly emerged as a scale developer and operator purpose-built for high-density, quick-turn capacity demanded by hyperscalers and AI platforms. Beyond the U.S., Aligned extended its reach across the Americas through its acquisition of ODATA in Latin America, creating a Pan-American presence that now spans more than 50 campuses and over 5 GW of capacity. The company has repeatedly accessed both public and private capital markets, most recently securing more than $12 billion in new equity and debt financing to accelerate expansion. Aligned’s U.S.–LATAM footprint provides geographic diversification and proximity to fast-growing AI regions. The buyer consortium’s global relationships – spanning utilities, OEMs, and sovereign-fund partners – help address power, interconnect, and supply-chain constraints, all of which are critical to sustaining growth in the AI data-center ecosystem. Macquarie Asset Management built Aligned from a niche U.S. operator into a 5 GW-plus, multi-market platform, the kind of asset infrastructure investors covet as AI demand outpaces grid and supply-chain capacity. Its sale at this stage reflects a broader wave of industry consolidation among large-scale digital-infrastructure owners. Since its own acquisition by BlackRock in early 2024, GIP has strengthened its position as one of the world’s top owners

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Oracle’s big bet for AI: Zettascale10

“OCI Zettascale10 was designed with the goal of integrating large-scale generative AI use cases, including training and running large language models,” said Info-Tech’s Palanichamy. Oracle also introduced new capabilities in Oracle Acceleron, its OCI networking stack, that it said helps customers run workloads more quickly and cost-effectively. They include dedicated network fabrics, converged NICs, and host-level zero-trust packet routing that Oracle says can double network and storage throughput while cutting latency and cost. Oracle’s zettascale supercomputer is built on the Acceleron RoCE (RDMA over Converged Ethernet) architecture and Nvidia AI infrastructure. This allows it to deliver what Oracle calls “breakthrough” scale, “extremely low” GPU-to-GPU latency, and improved price/performance, cluster use, and overall reliability. The new architecture has a “wide, shallow, resilient” fabric, according to Oracle, and takes advantage of switching capabilities built into modern GPU network interface cards (NICs). This means it can connect to multiple switches at the same time, but each switch stays on its own isolated network plane. Customers can thus deploy larger clusters, faster, while running into fewer stalls and checkpoint restarts, because traffic can be shifted to different network planes and re-routed when the system encounters unstable or contested paths. The architecture also features power-efficient optics and is “hyper-optimized” for density, as its clusters are located in large data center campuses within a two-kilometer radius, Oracle said.

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Q&A: IBM’s Mikel Díez on hybridizing quantum and classical computing

And, one clarification. Back in 2019, when we launched our first quantum computer, with between 5 and 7 qubits, what we could attempt to do with that capacity could be perfectly simulated on an ordinary laptop. After the advances of these years, being able to simulate problems requiring more than 60 or 70 qubits with classical technology is not possible even on the largest classical computer in the world. That’s why what we do on our current computers, with 156 qubits, is run real quantum circuits. They’re not simulated: they run real circuits to help with artificial intelligence problems, optimization of simulation of materials, emergence of models… all that kind of thing. The Basque Government’s BasQ program includes three types of initiatives or projects. The first are related to the evolution of quantum technology itself: how to continue improving error correction, how to identify components of quantum computers, and how to optimize both these and the performance of these devices. From a more scientific perspective, we are working on how to represent the behavior of materials so that we can improve the resistance of polymers, for example. This is useful in aeronautics to improve aircraft suspension. We are also working on time crystals, which, from a scientific perspective, seek to improve precision, sensor control, and metrology. Finally, a third line relates to the application of this technology in industry; for example, we are exploring how to improve the investment portfolio for the banking sector, how to optimize the energy grid , and how to explore logistics problems. What were the major challenges in launching the machine you’re inaugurating today? Why did you choose the Basque Country to implement your second Quantum System Two? Before implementing a facility of this type in a geographic area, we assess whether it makes sense based on

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Preparing for 800 VDC Data Centers: ABB, Eaton Support NVIDIA’s AI Infrastructure Evolution

Vendors and operators are already preparing for AI campuses measured in gigawatts. ABB’s announcement underscores the scale of this transition—not incremental retrofits, but entirely new development models for multi-GW AI infrastructure. How ABB Is Supporting the Move to 800-V DC Data Centers ABB says its joint work with NVIDIA will focus on advanced power solutions to enable 800-V DC architectures supporting 1-MW racks. Expect DC-rated breakers, protection relays, busways, and power shelves engineered for higher DC voltages, along with interfaces for liquid-cooled rack busbars. In parallel with the NVIDIA partnership, ABB has introduced an AI-ready refresh of its MNS® low-voltage switchgear, integrating SACE Emax 3 breakers with enhanced sensing and analytics to reduce footprint while improving selectivity and uptime. These components form the foundational building blocks of the higher-density electrical rooms and prefabricated skids that will define next-generation data centers. ABB’s MegaFlex UPS line already targets hyperscale and colocation environments with megawatt-class modules (UL 415/480-V variants), delivering high double-conversion efficiency and seamless integration with ABB’s Ability™ Data Center Automation platform—unifying BMS, EPMS, and DCIM functions. As racks transition to 800-V DC and liquid-cooled buses, continuous thermal-electrical co-optimization becomes essential. In this new paradigm, telemetry and controls will matter as much as copper and coolant. NVIDIA’s technical brief positions 800-V DC as the remedy for today’s inefficiencies—reducing space, cable mass, and conversion losses that accompany rising rack densities of 200 to 600 kW and beyond. The company’s 800-V rollout is targeted for 2027, with ecosystem partners spanning the entire electrical stack. Early signals from the OCP Global Summit 2025 confirm that vendors are moving rapidly to align their products and architectures with this vision. The Demands of Next-Generation GPUs NVIDIA’s Vera Rubin NVL144 rack design previews what the next phase of AI infrastructure will require: 45 °C liquid cooling, liquid-cooled busbars,

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Nvidia’s DGX Spark desktop supercomputer is on sale now, but hard to find

Industrial demand Nvidia’s DGX chips are in high demand in industry, though, and it’s more likely that Micro Center’s one-Spark limit is to prevent businesses scooping them up by the rack-load to run AI applications in their data centers. The DGX Spark contains an Nvidia GB10 Grace Blackwell chip, 128GB of unified system memory, a ConnectX-7 smart NIC for connecting two Spark’s in parallel, and up to 4TB of storage in a package just 150mm (about 6 inches) square. It consumes 240W of electrical power and delivers 1 petaflop of performance at FP4 precision — that’s one million billion floating point operations with four-bit precision per second. In comparison, Nvidia said, its original DGX-1 supercomputer based on its Pascal chip architecture and launched in 2016 delivered 170 teraflops (170,000 billion operations per second) at FP16 precision, but cost $129,000 and consumed 3,200W. It also weighed 60kg, compared to the Spark’s 1.2kg or 2.65 pounds. Nvidia won’t be the only company selling compact systems based on the DGX Spark design: It said that partner systems will be available from Acer, Asus, Dell Technologies, Gigabyte, HP, Lenovo, and MSI. This article originally appeared on Computerworld.

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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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