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ADNOC-ADQ JV Awards $1.7 Billion Build Contract for UAE Methanol Plant

TA’ZIZ, an Abu Dhabi National Oil Co. (ADNOC) and ADQ joint venture tasked with establishing a “chemicals and transition fuels ecosystem”, has awarded a $1.7 billion engineering, procurement and construction (EPC) contract for a methanol production facility in the Al Ruwais ecosystem project. Expected to be completed 2028, the plant will be the first methanol […]

TA’ZIZ, an Abu Dhabi National Oil Co. (ADNOC) and ADQ joint venture tasked with establishing a “chemicals and transition fuels ecosystem”, has awarded a $1.7 billion engineering, procurement and construction (EPC) contract for a methanol production facility in the Al Ruwais ecosystem project.

Expected to be completed 2028, the plant will be the first methanol production facility in the United Arab Emirates, according to TA’ZIZ. The plant is planned to produce up to 1.8 million metric tons a year of clean energy-powered methanol.

“This landmark EPC contract award is a significant step in realizing TA’ZIZ’s vision to drive the UAE’s industrial growth by creating a world-scale integrated chemicals ecosystem in Al Dhafra region”, TA’ZIZ chief executive Mashal Saoud Al-Kindi said in a company statement. “The plant will enhance the UAE’s position as a leader in sustainable chemicals production and strengthen TA’ZIZ’s role in enabling ADNOC’s global ambition to lead the chemicals sector”.

SAMSUNG E&A Co. Ltd. won the contract. “SAMSUNG E&A will bring its successful experience of a recently completed methanol plant in Malaysia and the active application of its unique execution system, characterized by modularization and automation, to the project”, the South Korean company said in a separate press release.

Hong Namkoong, president and chief executive of SAMSUNG E&A, commented, “We plan to actively leverage local resources and our network of partners based on our extensive regional experience in the Ruwais Industrial Complex, UAE”.

ADNOC and ADQ aim to start producing chemicals in the first phase the Al Ruwais chemicals and transition fuels ecosystem in 2028. The first phase is expected to produce 4.7 million tons a year of chemicals.

Late last year TA’ZIZ awarded over $2 billion worth of EPC contracts for infrastructure components of the ecosystem project.

“TA’ZIZ will produce a range of chemicals, many of which have not previously been manufactured in the UAE, enabling the local manufacture of many new construction, agriculture and healthcare products”, TA’ZIZ said November 6, 2024, announcing the contract awards. “In its initial phase, TA’ZIZ will produce six chemicals: caustic, ethylene dichloride, vinyl chloride monomer, polyvinyl chloride, low-carbon ammonia and methanol”.

NMDC Group won the contract for the chemicals port of the project. “When the port is complete, it will facilitate the export of chemicals and transition fuels, ensuring operational connectivity to regional and global markets and enhancing access to imported supplies”, TA’ZIZ said.

Rotary Engineering-Abu Dhabi was tapped to build the terminal portion, which will have storage facilities, tank-to-jetty pipelines, jetty-to-tank pipelines and inter-site pipelines.

“The dedicated chemicals port and terminal will enable exports from the one mtpa [million tons per annum] low-carbon ammonia production facility and world-scale methanol plant TAZIZ is building in Ruwais, as well as imports of key materials”, TA’ZIZ said.

Al Geemi Contracting won two contracts, one to build utilities including for power transmission, steam and water, and another to build ancillary infrastructure such as internal roads, buildings and security fencing.

TA’ZIZ said of the $2 billion awards, “A significant portion of the value of the contracts is expected to flow back into the UAE’s economy under ADNOC’s In-Country Value program, boosting economic growth and diversification in Al Dhafra region”.

“The awards will also accelerate TA’ZIZ’s efforts to establish a domestic low-carbon chemicals supply chain, while supporting ADNOC’s chemicals growth strategy and ambitions to become a top five global chemicals player”, it added.

TA’ZIZ was launched November 10, 2020, by ADNOC and Emirati investment and holding company ADQ.

To contact the author, email [email protected]

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Cisco researchers highlight emerging threats to AI models

Cisco security researchers this week detailed a number of threats they are seeing from bad actors trying to infect or attack AI’s most common component – the large language model. Some techniques used to hide messages or attacks from anti-spam systems are familiar to security specialists: “Hiding the nature of

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Pertamina taps ABL for Cilacap refinery project

Indonesia’s state-owned PT Pertamina has let a contract to ABL Group ASA to deliver a suite of services for a project to improve asset management and maintenance as part of a broader modernization program at subsidiary PT Kilang Pertamina Internasional’s (PT KPI) 348,000-b/d Cilacap integrated refining and petrochemical complex in

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ArcLight Completes Buy of Phillips 66 Stake in Gulf Coast Express Pipeline

ArcLight Capital Partners LLC said Monday it had completed the acquisition of Phillips 66’s DCP GCX Pipeline LLC, which owns a 25 percent non-operating stake in the Gulf Coast Express Pipeline (GCX), for $865 million. “Going forward, GCX will be jointly owned by subsidiaries of Kinder Morgan Inc. (NYSE: KMI) and ArcLight”, infrastructure investor ArcLight said in a press release. Houston, Texas-based Kinder Morgan remains as operator. “GCX is a premier, 500-mile natural gas pipeline with approximately 2 Bcf/d [billion cubic feet a day] of capacity that is underpinned by a high-quality array of shippers under long-term committed contracts”, Boston, Massachusetts-based ArcLight said. “GCX provides critical residue gas takeaway service from the Permian Basin to key U.S. Gulf Coast end-markets, including key growing demand regions such as the growing liquefied natural gas export market in South Texas”. ArcLight founder Dan Revers said, “As the U.S. seeks to meet the rapidly growing power demand needs associated with AI and data center infrastructure, we believe more natural gas-related infrastructure, both power and midstream assets, will be needed to meet this objective”. “This acquisition builds on our history dating back to 2001 of investing in critical gas infrastructure, ability to be a value-added partner, and expands our strategic partnership with Kinder Morgan”, Revers added. Lucius Taylor, partner at ArcLight, commented, “As one of the largest, lowest cost transmission assets in the region, we believe GCX is well positioned to capitalize on the dual tailwinds of growing Permian production and long-term LNG, power, and industrial demand growth”. Barclays Capital Inc. acted as ArcLight’s financial advisor in the transaction, announced December 16, 2024. Latham & Watkins LLP served as legal counsel. For downstream oil and gas player Phillips 66, the transaction was part of a $3 billion divestment package to support its shareholder return target and other long-term priorities. The GCX

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Will Trump Fill Strategic Petroleum Reserves ‘Right to the Top’?

Will Trump fill Strategic Petroleum Reserves (SPR) ‘right to the top’? That was one of the questions asked in a Q&A format research note by BMI, a unit of Fitch Solutions, which was sent to Rigzone recently by the Fitch Group. Offering a response in the note, BMI analysts said, “oil storage levels will rise under Trump, but probably at a slower pace than his rhetoric would suggest”. “There are logistical constraints to consider, with the American Petroleum Institute (API) estimating strategic reserves would take at least 19 months to replenish,” they added. The analysts stated in the note that it would also be very costly. “The total capacity of the U.S. Strategic Petroleum Reserve is 714 million barrels, 327 million barrels above the level of oil in storage as of October 2024,” they noted. “Taking our 2025 annual average forecast for Brent crude, that would cost almost $25 billion, for which Trump would require congressional approval,” they added. “It would also help to put a floor under Brent, running counter to Trump’s objective to lower prices at the pump,” they continued. The BMI analysts also stated in the note that the SPR holds largely medium and heavier grade crudes, which they said are the preferred grades for many domestic refiners. They added that, as the majority of U.S. output is now light or ultra-light, SPR restocking relies on imports. “The OPEC+ cuts have already tightened the market for medium and heavy crudes, raising their cost, and an SPR buying spree could further distort the market (more so if compounded by tightening sanctions on Russia and Iran),” the strategists said in the note. “Generally, oil markets are not overly sensitive to SPR-related announcements, but we could see prices impacted via changes in the fundamentals, if the U.S. suddenly inflates demand

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Var Energi Boosts Resources on Exploration Wins

Vår Energi ASA has increased its reserves and resource base to 2.1 billion barrels of oil equivalent (boe). The reported value was the sum of its proved and probable (2P) reserves and contingent resources (2C), as published in its annual statement of reserves for 2024. As of December 31, 2024, Var Energi’s total 2P reserves was estimated at 1.19 billion boe. Last year was “characterized by solid production within the guided range, successful integration of Neptune Energy Norge AS, portfolio optimization, and continuous initiatives to increase recovery from producing fields by drilling additional infill wells,” Var Energi said in a statement. The company attributed the increase to early-phase development projects, lifetime extensions of existing fields and the inclusion of the Neptune assets. Var Energi also reported that 2C resources increased to 927 million boe (MMboe) from 62 MMboe at the end of 2023, which it attributed to “several exploration successes and technical revisions,” as it is currently progressing resources into new development projects. In addition, the significant volume of 2C resources represents a major part of Vår Energi’s strategy to sustain future production, value creation and attractive shareholder returns long term. As of 31 December 2024, total 2C resources are 927 mmboe, a significant increase from 628 mmboe at the end of 2023. This increase is due to several exploration successes and technical revisions as the Company is actively de-risking and progressing resources into new development projects. The reported 2P reserves and 2C resources comply with the Petroleum Resources Management System (PRMS), Var Energi noted, adding that international petroleum consultants DeGolyer and MacNaughton carried out an independent assessment of its portfolio. “This represents a strong foundation for long-term sustained production and value creation, and we are working at pace to mature a pipeline of new projects to realize these opportunities,”

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Petrobras Ups Proved Reserves in 2024

Brazilian oil major Petróleo Brasileiro S.A. (Petrobras) has increased its proved reserves of oil, condensate, and natural gas to 11.4 billion barrels of oil equivalent (Bboe), as of the end of 2024. Oil and condensate make up 85 percent of the reserves, while natural gas makes up 15 percent, Petrobras said in a news release. Petrobras attributed the increase mainly to the progress in the development of Atapu and Sépia fields, and the good performance of its assets, highlighting the Búzios, Itapu, Tupi and Sépia fields in the Santos Basin. The company had a reserve replacement rate (IRR) of 154 percent, “focusing on profitable assets and keeping alignment with the search for a just energy transition, generating value for society and shareholders,” it said. Further, Petrobras reported that it achieved all the production targets set in its four-year strategic plan ending 2028, within a range of 4 percent. The company’s total production of oil and natural gas reached 2.7 million barrels of oil equivalent per day (MMboepd). Commercial production of oil and natural gas reached 2.4 MMboepd, while oil production was 2.2 million barrels per day (bpd), according to a separate news release. Petrobras said it set new annual records for total owned and operated production in the pre-salt, at 2.2 MMboepd and 3.2 MMboepd, respectively. Pre-salt production volume represents 81 percent of the company’s total production. Petrobras noted the startup of two new platforms in 2024: floating production storage and offloading unit (FPSO) Maria Quitéria, located in the Jubarte field, in the pre-salt of the Campos Basin; and FPSO Marechal Duque de Caxias, in the Mero field, in the pre-salt of the Santos Basin. In October 2024, the Maria Quitéria platform ship produced its first oil in the Jubarte field, pre-salt in the Espírito Santo portion of the Campos

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Penguins kicks off production with Shell’s first new manned vessel in 30 years

London-listed supermajor Shell (LON: SHEL) has re-started production at its Penguins field with a brand new vessel sharing the same name. The 100 million barrel redevelopment off the east coast of Shetland is being operated by the first manned vessel built by Shell in three decades. The Penguins field was initially discovered in 1974. It operated from 2003 and ceased production of oil and gas in 2021. Sanctioning the project in 2018, Shell said it would unlock 80 million barrels of oil equivalent, create hundreds of jobs, and keep the gas hub producing beyond 2035. The redevelopment of the Penguins field involved drilling additional wells, which have been tied back to the new FPSO. Peak production at the site is estimated at around 45,000 barrels of oil equivalent per day (boe/d). The operator said that gas from the site will be transported to the nearby St Fergus gas terminal using pre-existing pipelines. However, oil from the site will be transported to overseas refineries. The London-based firm said that the reason for using foreign refineries is the country’s “limited refining capacity” and that the hydrocarbons produced will return in the form of petrol, diesel and other products. New FPSO ‘more value, less emissions’ Shell claims that the Penguins floating, production, storage and offloading (FPSO) vessel will produce 30% less operational emissions than its recently removed Brent Charlie platform.  Brent Charlie ceased production in 2021 after two decades of operations. © Image: FFluorThe Shell Penguins FPSO leaving the yard at Qingdao on board the White Marlin heavy transport ship on December 5, 2022 “Today, the UK relies on imports to meet much of its demand for oil and gas,” said Zoë Yujnovich, Shell’s integrated gas and upstream director. “The Penguins field is a source of the secure domestic energy production people need

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Crescent Seals Acquisition of Eagle Ford Player Ridgemar

Crescent Energy Co. has completed the purchase of Ridgemar (Eagle Ford) LLC for an upfront price of $905 million, growing its footprint in Texas’ Eagle Ford shale. “We are pleased to complete this accretive acquisition, which further scales our core Eagle Ford position as we also welcome many talented new members to the Crescent Energy team”, chief executive David Rockecharlie said in a company statement. “This acquisition demonstrates our disciplined approach to creating shareholder value by combining our investing and operational expertise to acquire and efficiently integrate high-quality assets while maintaining a strong financial profile. “These assets enhance our oil-weighted production and extend our low-risk inventory, reinforcing our ability to deliver sustained cash flow and returns. “We remain focused on executing our strategy of profitable growth and advancing our investment-grade ambitions”. Announcing the agreement December 3, 2024, Houston, Texas-based Crescent said then the transaction with Ridgemar “builds upon its significant acquisition activity in the Eagle Ford over the past 18 months, totaling more than $4 billion of accretive M&A [mergers and acquisitions]”. The acquisition gives Crescent “approximately 20 Mboe/d [thousand barrels of oil equivalent a day] of high-margin, oil-weighted production and ~140 well understood, high-return locations that immediately compete for capital and extend Crescent’s low-risk inventory life”, Crescent said. It added, “The transaction, valued at 2.7x EBITDA [earnings before interests, taxes, depreciation and amortization], is accretive to operating cash flow, levered free cash flow and net asset value, with strong expected cash-on-cash returns”. The base upfront consideration consists of $830 million in cash and over 5.45 million shares from Crescent’s common stock. Additionally Crescent owes Ridgemar, also based in Houston, an oil price-contingent consideration of up to $170 million. Crescent will pay $15 million per quarter in 2026 and $12.5 million per quarter in 2027 if the average quarterly West Texas Intermediate

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Let’s Go Build Some Data Centers: PowerHouse Drives Hyperscale and AI Infrastructure Across North America

PowerHouse Data Centers, a leading developer and builder of next-generation hyperscale data centers and a division of American Real Estate Partners (AREP), is making significant strides in expanding its footprint across North America, initiating several key projects and partnerships as 2025 begins.  The new developments underscore the company’s commitment to advancing digital infrastructure to meet the growing demands of hyperscale and AI-driven applications. Let’s take a closer look at some of PowerHouse Data Centers’ most recent announcements. Quantum Connect: Bridging the AI Infrastructure Gap in Ashburn On January 17, PowerHouse Data Centers announced a collaboration with Quantum Connect to develop Ashburn’s first fiber hub specifically designed for AI and high-density workloads. This facility is set to provide 20 MW of critical power, with initial availability slated for late 2026.  Strategically located in Northern Virginia’s Data Center Alley, Quantum Connect aims to offer scalable, high-density colocation solutions, featuring rack densities of up to 30kW to support modern workloads such as AI inference, edge caching, and regional compute integration. Quantum Connect said it currently has 1-3 MW private suites available for businesses seeking high-performance infrastructure that bridges the gap between retail colocation and hyperscale facilities. “Quantum Connect redefines what Ashburn’s data center market can deliver for businesses caught in the middle—those too large for retail colocation yet underserved by hyperscale environments,” said Matt Monaco, Senior Vice President at PowerHouse Data Centers. “We’re providing high-performance solutions for tenants with demanding needs but without hyperscale budgets.” Anchored by 130 miles of private conduit and 2,500 fiber pathways, Quantum Connect’s infrastructure offers tenants direct, short-hop connections to adjacent facilities and carrier networks.  With 14 campus entrances and secure, concrete-encased duct banks, the partners said the new facility minimizes downtime risks and reduces operational costs by eliminating the need for new optics or extended fiber runs.

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Blue Owl Swoops In As Major Backer of New, High-Profile, Sustainable U.S. Data Center Construction

With the global demand for data centers continuing to surge ahead, fueled by the proliferation of artificial intelligence (AI), cloud computing, and digital services, it is unsurprising that we are seeing aggressive investment strategies, beyond those of the existing hyperscalers. One of the dynamic players in this market is Blue Owl Capital, a leading asset management firm that has made significant strides in the data center sector. Back in October 2024 we reported on its acquisition of IPI Partners, a digital infrastructure fund manager, for approximately $1 billion. This acquisition added over $11 billion to the assets Blue Owl manages and focused specifically on digital infrastructure initiatives. This acquisition was completed as of January 5, 2025 and IPI’s Managing Partner, Matt A’Hearn has been appointed Head of Blue Owl’s digital infrastructure strategy. A Key Player In Digital Infrastructure and Data Centers With multi-billion-dollar joint ventures and financing initiatives, Blue Owl is positioning itself as a key player in the digital infrastructure space. The company investments in data centers, the implications of its strategic moves, and the broader impact on the AI and digital economy highlights the importance of investment in the data center to the economy overall. With the rapid growth of the data center industry, it is unsurprising that aggressive investment fund management is seeing it as an opportunity. Analysts continue to emphasize that the global data center market is expected to grow at a compound annual growth rate (CAGR) of 10.2% from 2023 to 2030, reaching $517.17 billion by the end of the decade. In this rapidly evolving landscape, Blue Owl Capital has emerged as a significant contributor. The firm’s investments in data centers are not just about capitalizing on current trends but also about shaping the future of digital infrastructure. Spreading the Wealth In August 2024, Blue Owl

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Global Data Center Operator Telehouse Launches Liquid Cooling Lab in the UK to Meet Ongoing AI and HPC Demand

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Flexential Partners with Lonestar to Support First Lunar Data Center

Flexential, a leading provider of secure and flexible data center solutions, this month announced that it has joined forces with Lonestar Data Holdings Inc. to support the upcoming launch of Freedom, Lonestar’s second lunar data center. Scheduled to launch aboard a SpaceX Falcon 9 rocket via Intuitive Machines, this mission is a critical step toward establishing a permanent data center on the Moon. Ground-Based Support for Lunar Data Storage Flexential’s Tampa data center will serve as the mission control platform for Lonestar’s lunar operations, providing colocation, interconnection, and professional services. The facility was chosen for its proximity to Florida’s Space Coast launch operations and its ability to deliver low-latency connectivity for critical functions. Flexential operates two data centers in Tampa and four in Florida as part of its FlexAnywhere® Platform, comprising more than 40 facilities across the U.S. “Flexential’s partnership with Lonestar represents our commitment to advancing data center capabilities beyond conventional boundaries,” said Jason Carolan, Chief Innovation Officer at Flexential. “By supporting Lonestar’s space-based data center initiative, we are helping to create new possibilities for data storage and disaster recovery. This project demonstrates how innovative data center expertise can help organizations prepare for a resilient future with off-world storage solutions.” A New Era of Space-Based Resiliency The growing demand for data center capacity, with U.S. power consumption expected to double from 17 GW in 2022 to 35 GW by 2030 (according to McKinsey & Company), is driving interest in space-based solutions. Storing data off-planet reduces reliance on terrestrial resources while enhancing security against natural disasters, warfare, and cyber threats. The Freedom data center will provide resiliency, disaster recovery, and edge processing services for government and enterprise customers requiring the highest levels of data protection. The solar-powered data center leverages Solid-State Drives (SSDs) and a Field Programmable Gate Array (FPGA) edge

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Why DeepSeek Is Great for AI and HPC and Maybe No Big Deal for Data Centers

In the rapid and ever-evolving landscape of artificial intelligence (AI) and high-performance computing (HPC), the emergence of DeepSeek’s R1 model has sent ripples across industries. DeepSeek has been the data center industry’s topic of the week, for sure. The Chinese AI app surged to the top of US app store leaderboards last weekend, sparking a global selloff in technology shares Monday morning.  But while some analysts predict a transformative impact within the industry, a closer examination suggests that, for data centers at large, the furor over DeepSeek might ultimately be much ado about nothing. DeepSeek’s Breakthrough in AI and HPC DeepSeek, a Chinese AI startup, this month unveiled its R1 model, claiming performance on par with, or even surpassing, leading models like OpenAI’s ChatGPT-4 and Anthropic’s Claude-3.5-Sonnet. Remarkably, DeepSeek developed this model at a fraction of the cost typically associated with such advancements, utilizing a cluster of 256 server nodes equipped with 2,048 GPUs. This efficiency has been attributed to innovative techniques and optimized resource utilization. AI researchers have been abuzz about the performance of the DeepSeek chatbot that produces results similar to ChatGPT, but is based on open-source models and reportedly trained on older GPU chips. Some researchers are skeptical of claims about DeepSeek’s development costs and means, but its performance appears to challenge common assumptions about the computing cost of developing AI applications. This efficiency has been attributed to innovative techniques and optimized resource utilization.  Market Reactions and Data Center Implications The announcement of DeepSeek’s R1 model led to significant market reactions, with notable declines in tech stocks, including a substantial drop in Nvidia’s valuation. This downturn was driven by concerns that more efficient AI models could reduce the demand for high-end hardware and, by extension, the expansive data centers that house them. For now, investors are re-assessing the

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Timeline of HPE’s $14 billion bid for Juniper

June 20, 2024: HPE-Juniper merger faces antitrust inquiry in UK An inquiry into HPE’s $14 billion takeover of Juniper Networks by the UK’s Competition and Markets Authority (CMA), a move that potentially could delay approval of the deal, will have little impact on data center managers, said one analyst with Info-Tech Research Group. Both companies were informed of the inquiry by the CMA, the UK’s principal antitrust regulator, on Wednesday. July 17, 2024: Juniper advances AI networking software Juniper continues to improve its AI-native networking platform while HPE’s $14 billion deal to acquire Juniper continues to advance through the requisite regulatory hurdles. The latest platform upgrades are designed to help enterprise customers better manage and support AI in their data centers. Juniper is also offering a new validated design for enterprise AI clusters and has opened a lab to certify enterprise AI data center projects. Aug. 01, 2024: EU clears HPE’s $14 billion Juniper acquisition Hewlett Packard Enterprise’s proposed acquisition of Juniper Networks took a big step forward this week as the European Commission unconditionally approved the buy. Next up: US and UK regulatory approval? Nov. 21, 2024: AI networking a focus of HPE’s Juniper deal as Justice Department concerns swirl HPE’s acquisition of Juniper has been under regulatory scrutiny ever since HPE announced the $14 billion deal in January. The proposed deal has passed muster with a number of world agencies so far, but there is reportedly some concern about it from the US Department of Justice.  Jan. 30, 2025: U.S. Justice Department sues to block HPE’s $14 billion Juniper buy After months of speculation, the U.S. Justice Department sued to block the $14 billion sale of Juniper Networks to HPE. The DOJ said reduced competition in the wireless market is the biggest problem with the proposed buy. “This proposed acquisition risks substantially lessening competition in

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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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