Stay Ahead, Stay ONMINE

Why a U.S. Bitcoin Strategic Reserve Is Critical to Fending Off China

Finance is increasingly a weapon of war. United States policymakers and our allies focus too narrowly on macroeconomic tools like sanctions and promoting the dollar as a reserve currency when the modern front is evolving. Today, the real battles are being waged on smartphones and in the global currency markets. China is waging a multi-decade […]

Finance is increasingly a weapon of war. United States policymakers and our allies focus too narrowly on macroeconomic tools like sanctions and promoting the dollar as a reserve currency when the modern front is evolving. Today, the real battles are being waged on smartphones and in the global currency markets.

China is waging a multi-decade plan to displace the United States’ greatest asset: the dollar. The dollar is critical to the United States’ economic and geopolitical power as the global reserve currency. Without it, our influence would weaken, and our debt would become a bigger problem. This is precisely what the Chinese Communist Party and the Kremlin want.

China and Russia have shed billions of dollars worth of U.S. Treasury holdings while growing their stockpiles of gold. Our sanctions, designed to separate countries from the “Western” economic system, are no longer enough of a deterrent for those who can control financial activity within their borders and project their power outward.

Authoritarian adversaries — including China, Iran and Russia — are actively building parallel cross-border economic systems that will pull into their orbits not only neighboring countries but also our allies who trade heavily with them.

For example, over half of businesses in Japan accept Alipay, while more than one-third accept WeChat Pay. This distribution gives two Chinese firms unprecedented visibility into the individual market transactions of Japanese consumers and businesses. It could allow China to disrupt Japan’s economy should tensions escalate, such as in a potential conflict over Taiwan.

How the U.S. can respond

China sees financial technology and cryptocurrency as tools to extend its financial power and surveillance globally. The United States must respond in two ways: export our financial technology and systems worldwide and embrace bitcoin as a strategic reserve asset instead of stifling innovation.

Lawmakers and politicians on both sides of the aisle, most notably President-elect Donald Trump, recognize the power of holding bitcoin on the nation’s balance sheet as a hedge against inflation. This direction would also strengthen U.S. resilience against economic challenges posed by China’s financial strategies.

The Federal Reserve, like many central banks, holds a diverse portfolio of reserve assets. As of 2024, this includes approximately $35 billion in foreign currencies and $11 billion in gold stock. These holdings demonstrate America’s economic strength and provide liquidity during financial stress. However, in our rapidly digitizing world, the absence of a native digital asset in this portfolio is becoming increasingly conspicuous.

With its global reach and growing adoption, bitcoin is the ideal candidate to fill this gap. Often called “digital gold,” bitcoin is a scarce commodity. The U.S. is the largest nation-state holder of bitcoin, having seized 210,000 coins from illegal actors. This gives the U.S. a first-mover advantage and could secure our economic future.

Critics may argue that bitcoin’s volatility makes it unsuitable as a reserve asset. However, this volatility will likely decrease as adoption grows and the market matures. In 2021, El Salvador recognized bitcoin as legal tender and began purchasing it as a treasury reserve asset. They have seen a 100% increase in value and have no intention of selling.

A multi-front war

The U.S. must recognize we are already in a multi-front war with China. One of these fronts is financial services, and crypto is a weapon in our arsenal. Losing this battle means global financial services and individual financial activity would be dominated by adversarial states focused on control, surveillance and dominance — and a continued attack on our currency.

Trump understands this, telling Bloomberg in July, “If we don’t do it, China is going to pick [bitcoin] up.”

Projecting American financial power also requires the government to empower, enable and encourage our private economic sector to interact with contested economies throughout the Indo-Pacific and beyond. Expanding the use of our payment systems, banks and dollars — even where it’s controversial — is essential.

Right now, our adversaries are winning because we aren’t even playing. They are exporting their systems, institutions and surveillance tools worldwide. Meanwhile, we’ve done little as TikTok, a serious threat to our national security, captivates an entire generation of Americans. We must do the same with financial technology because no disruption would be greater to our enemies.

The U.S. should more explicitly weaponize financial technology and crypto. For example, we should endorse decentralized financial technology that enables citizens of hostile governments like Iran to use smartphones to access USD-based stablecoins and payment services, in order to begin separating their economic activity from their government’s control. At its core, power is about control — not just of police or national security but of resources and economies.

The world is at a financial crossroads. The question isn’t whether digital currencies will shape the future but how we will adapt to this new reality. The U.S. can shape this future by embracing bitcoin as a reserve asset. The time for bold action is now, and the benefits for global financial stability and innovation could be profound.

Shape
Shape
Stay Ahead

Explore More Insights

Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

Shape

AI dominates Gartner’s top strategic technology trends for 2026

“AI supercomputing platforms integrate CPUs, GPUs, AI ASICs, neuromorphic and alternative computing paradigms, enabling organizations to orchestrate complex workloads while unlocking new levels of performance, efficiency and innovation. These systems combine powerful processors, massive memory, specialized hardware, and orchestration software to tackle data-intensive workloads in areas like machine learning, simulation,

Read More »

IBM signs up Groq for speedy AI inferencing option

The technology involved in the partnership will let customers use watsonx capabilities in a familiar way and allow them to use their preferred tools while accelerating inference with GroqCloud, IBM stated. “This integration will address key AI developer needs, including inference orchestration, load balancing, and hardware acceleration, ultimately streamlining the

Read More »

Wi-Fi 8 is coming and it’s going to make AI a lot faster

Traditional Wi-Fi optimizes for 90/10 download-to-upload ratios. AI applications push toward 50/50 symmetry. Voice assistants, edge AI processing and sensor data all require consistent uplink capacity. “AI traffic looks different,” Szymanski explained. “It’s increasingly symmetric, with heavy uplink demands from these edge devices. These devices are pushing all this data

Read More »

Woodside Bumps Up Production Projection for 2025

Woodside Energy Group Ltd has raised its projected 2025 production from 188-195 million barrels of oil equivalent (MMboe) to 192-197 MMboe due to “continued strong performance across assets”. The Australian company saw a one percent increase in output in the third quarter, totaling 50.8 MMboe or 552,000 barrels of oil equivalent a day, according to a stock filing Wednesday. Production consisted of 1.83 billion standard cubic feet a day (Bscfd) of natural gas and 231,000 barrels per day (bpd) of liquids. The increase comes despite Woodside’s sale of producing oil and gas assets in Greater Angostura in Trinidad and Tobago to Perenco, completed in the quarter. Woodside reported 13,000 barrels of oil production and 242,000 oil-equivalent barrels of pipeline gas in Trinidad and Tobago in the July-September period, down from 93,000 barrels and 2.21 MMboe in the prior quarter respectively. In Australia Woodside produced 34.86 MMboe, up from 32.45 MMboe. Australian LNG and piped gas production totaled 20.9 MMboe and 7.85 MMboe respectively, up from 18.9 MMboe and 7.63 MMboe respectively. Australian crude and condensate production stood at 4.94 MMboe, up from 4.92 MMboe. All of Woodside’s liquefaction facilities – North West Shelf, Pluto and Wheatstone – increased output quarter-on-quarter. Pluto achieved 100 percent reliability. At North West Shelf, Woodside completed planned maintenance offshore at North Rankin and onshore at the Karratha Gas Plant. Woodside increased sales one percent quarter-over-quarter to 55 MMboe, consisting of 2.12 Bscfd of gas and 226,000 bpd of liquids. Revenue totaled $3.36 billion, up from $3.28 billion. While realized prices for LNG and East Coast and international piped gas fell, the average realized price rose two percent, “reflecting higher Dated Brent and West Texas Intermediate”, Woodside said. “We continued safe delivery of Woodside’s major growth projects to schedule and budget”, said chief executive Meg O’Neill. “Strong momentum

Read More »

NNPC Produced 1.4 MMbpd in First 9 Months

Nigerian National Petroleum Co Ltd (NNPC) averaged 1.37 million barrels per day (MMbpd) in crude production in the first three quarters, according to provisional figures published by the state-owned company on Tuesday. September’s oil output of 1.37 MMbpd represented the third consecutive month of decline, according to NNPC’s monthly report. Oil and condensate production totaled 1.61 MMbpd last month, with condensate accounting for 240,000 bpd. NNPC’s peak oil and condensate production in 2025 so far was 1.77 MMbpd. NNPC sold 17.81 million barrels of crude September, down for the second consecutive month. Its natural gas production and sales stood at 6.28 billion standard cubic feet a day (Bscfd) and 3.44 Bscfd in September respectively, both down for the second consecutive month. “Production levels during the period were temporarily moderated due to planned maintenance activities including those at NLNG alongside the phased recovery of previously shut-in assets and delays in the commencement of operations at OMLs 71 and 72”, the report said. NNPC reported a 77 percent petrol availability at its stations. NNPC’s upstream pipeline availability was 96 percent. NNPC logged NGN 4.27 trillion ($2.91 billion) in revenue for September. Profit after tax was NGN 216 billion. The company reported “statutory payments” of NGN 10.07 trillion. On the Ajaokuta-Kaduna-Kano Gas Pipeline project, the report said, “Sustained focus is being directed towards completion of the mainline works with substantial progress being recorded”. NNPC said in a press release July 1 the project was on track for completion by yearend. On the Obiafu-Obrikom-Oben (OB3) Gas Pipeline project, the report said the execution plan was being revised “to ensure delivery within target timelines”. “113km portion of OB3 Gas Pipeline has been commissioned and flowing circa 300 MMscfd of gas”, the report added. In other developments, Shell PLC earlier this month announced a final investment

Read More »

Oil Rises on U.S. Reserve Refill

Oil eked out a gain with Washington planning on buying 1 million barrels of crude for the national stockpile, but held near a five-month low on expectations of a looming global surplus. West Texas Intermediate traded in a more than $1 range before settling near $58 a barrel. Although the US plan to refill the Strategic Petroleum Reserve supported prices, it wasn’t enough to shift sentiment in a market that has declined by more than 10% since late September. WTI futures are on course for a third monthly loss. The amount of crude on tankers at sea has risen to a record high, signaling that a long-anticipated surplus may have started to materialize, while time spreads are starting to signal ample supply. The International Energy Agency expects world oil inventories to exceed demand by almost 4 million barrels a day next year as OPEC+ and some countries outside the alliance ramp up output, likely in a bid to recapture market share. “We’ve got supply growth running three times faster than demand growth,” Bob McNally, founder and president of Rapidan Energy Group, said in an interview on Bloomberg Television. “Near-term we have a glut.” Commodity trading advisers, meanwhile, could potentially reach a maximum-short position in the next few sessions, helping send prices lower, according to data from Bridgeton Research Group. The robot traders are currently 91% short in both Brent and WTI, and could accelerate if futures fall by roughly 1%, the firm added. Traders are also keeping an eye on relations between the US and China, the world’s top producer and consumer of oil. US President Donald Trump again signaled that an expected meeting with counterpart Xi Jinping in South Korea next week might not materialize. The US benchmark crude future’s November expiry on Tuesday also contributed to choppy trading.

Read More »

Energy Department Issues Solicitation to Purchase Crude Oil for the Strategic Petroleum Reserve

WASHINGTON—The U.S. Department of Energy (DOE) today announced a new solicitation to purchase one million barrels of crude oil for delivery to the Strategic Petroleum Reserve (SPR) at the Bryan Mound site. The solicitation is in accordance with the Working Families Tax Cut which President Trump signed into law earlier this year. The legislation appropriated $171 million to begin refilling the SPR. “After the previous administration recklessly drained the SPR for political purposes, President Trump promised to refill and manage this national security asset more responsibly,” said Secretary Wright. “Thanks to the President and Congress, we are able to begin the process of refilling the SPR. While this process won’t be complete overnight, these actions are an important step in strengthening our energy security and reversing the costly and irresponsible energy policies of the last administration.” This announcement delivers on President Trump’s promise to rebuild America’s strategic strength and restore the reserve to full operational capacity. Currently, the SPR holds just over 400 million barrels of its 700 million barrel capacity. The SPR was severely weakened by the previous administration’s reckless 180-million-barrel drawdown in 2022, which incurred nearly $280 million in costs, delayed critical infrastructure maintenance and put unprecedented wear and tear on storage and injection facilities. The solicitation invites bids for an initial purchase of one million barrels of oil through a spot-price-indexed contract, with deliveries scheduled for December 2025 and January 2026. All notices of acquisition limit purchases to U.S. companies or U.S. subsidiaries of international companies with crude oil sourced from domestic production. Bids for the solicitation are due no later than 11:00 A.M. CT on October 28, 2025. For more information on the SPR please visit Infographic: Strategic Petroleum Reserve and Fact Sheet: Strategic Petroleum Reserve. ###

Read More »

Var Energi Sees Oil Stabilizing Next Year

Var Energi ASA, Norway’s third-biggest oil and gas company, sees oil’s supply and demand outlook stabilizing next year, with prices not dropping significantly below $60 a barrel. “We may see a short period of oversupply, but I think when you look into next year, you see that supply-demand balance coming back into line,” Chief Executive Officer Nick Walker told reporters on Tuesday. “Oil is going to be required for a long time, and the industry has not been investing enough.” Industry watchers, including the Paris-based International Energy Agency, have been predicting a flood of supplies for more than a year. Additional barrels from the Organization of the Petroleum Exporting Countries and its allies, as well as nations outside the group, are seen overwhelming cooling demand growth. Futures are heading for a third monthly loss and top traders are braced for a further slide. Lower oil prices will reduce investments and eventually slow output, Walker said, adding that “there seems to be a floor of about $60, it doesn’t go below that regardless of the volumes coming in.” Var Energi has seen several fields come online this year, including Johan Castberg in the Barents Sea and the startup of Balder X in June. Output from both fields will contribute to production rising to about 430,000 barrels of oil equivalent a day in the fourth quarter. To maintain barrels through the end of the decade, the company will sanction a total of ten new projects by year’s end, Walker said, with four already approved at break-evens of below $35 a barrel. The oil and gas company’s earnings before interest and tax climbed to $1.07 billion in the third quarter, beating analyst estimates. Var Energi plans to pay out $1.2 billion in dividends this year and in 2026. WHAT DO YOU THINK? Generated by readers, the comments included

Read More »

Utility identity fraud is a bigger problem than people think

David Maimon is head of fraud insights at SentiLink. Utility companies have become prime targets for identity-related fraud, yet the true scope of the threat remains largely hidden. In 2024, the FTC’s Consumer Sentinel Network logged about 28,000 reports of stolen identities used to open new utility accounts and another 2,000 tied to existing ones. Those numbers exceed pre-COVID levels but fall short of a pandemic-era spike. At first glance, that looks like stabilization. It’s not. The reality is worse: Utilities are not legally required to report fraud incidents, leaving much of the damage invisible. Instead, companies push customers to file complaints — something many never do, whether because the utility absorbs the loss, the consumer avoids the hassle, or, in the case of synthetic identities, no real victim exists to file at all. My research shows that the use of both stolen and synthetic identities to defraud utilities is persistent — and growing. Below I explain why utilities are prime targets, the tactics fraudsters use and how these crimes ripple across the broader fraud ecosystem. Why utilities? Utility providers are attractive targets for a mix of technical, regulatory and structural reasons. Low-friction onboarding: Compared to banks, many utilities still use limited identity verification. In the absence of strong “know your customer” rules, criminals can easily open accounts using stolen or synthetic identities. Delayed detection: Billing cycles stretch 30 to 60 days, giving scammers weeks of service before red flags appear. Fraudsters often exploit this delay and abandon accounts before utilities catch on. Service protections: Shutoff moratoriums — implemented during extreme weather or for medical “critical care” designations — protect vulnerable populations, but also shield fraudsters from enforcement. Once flagged as critical care, accounts can be nearly impossible to shut off even when fraud is suspected. Low legal risk: Utilities are not

Read More »

AI gold rush sparks backlash against Core Scientific acquisition

Meanwhile, in a release issued last week, CoreWeave stated, “it has been unequivocal — to Core Scientific and publicly — that we will not modify our offer. Our offer is best and final.” Alvin Nguyen, senior analyst at Forrester Research, said what happens next with the overall data center market “depends on when AI demand slows down (when the AI bubble bursts).” He added, “if AI demand continues, prices continue to go up, and data centers change in terms of preferred locations (cooler climates, access to water, lots of space, more remote), use of microgrids/energy production, expect [major] players to continue to dominate.” However, said Nguyen, “if that slowdown is soon, then prices will drop, and the key players will need to either unload property or hold onto them until AI demand builds back up.” Generational shift occurring Asked what the overall effect of AI will be on CIOs in need of data center capacity, he said, “the new AI mega-factories alter data center placement: you don’t put them near existing communities because they demand too much power, water, land, you build them somewhere remote, and communities will pop up around them.” Smaller data centers, said Nguyen, “will still consume power and water in contention with their neighbors (industrial, commercial, and residential), potential limiting their access or causing costs to rise. CIOs and Network World readers should evaluate the trade offs/ROI of not just competing for data center services, but also for being located near a new data center.”

Read More »

Why cloud and AI projects take longer and how to fix the holdups

No. 2 problem: Unrealistic expectations lead to problematic requirements Early planning and business case validation show that the requirements set for the project can’t be met, which then requires a period of redefinition before real work can start. This situation – reported by 69% of enterprises – leads to an obvious question: Is it the requirements or the project that’s the problem? Enterprises who cite this issue say it’s the former, and that it’s how the requirements are set that’s usually the cause. In the case of the cloud, the problem is that senior management thinks that the cloud is always cheaper, that you can always cut costs by moving to the cloud. This is despite the recent stories on “repatriation,” or moving cloud applications back into the data center. In the case of cloud projects, most enterprise IT organizations now understand how to assess a cloud project for cost/benefit, so most of the cases where impossible cost savings are promised are caught in the planning phase. For AI, both senior management and line department management have high expectations with respect to the technology, and in the latter case may also have some experience with AI in the form of as-a-service generative AI models available online. About a quarter of these proposals quickly run afoul of governance policies because of problems with data security, and half of this group dies at this point. For the remaining proposals, there is a whole set of problems that emerge. Most enterprises admit that they really don’t understand what AI can do, which obviously makes it hard to frame a realistic AI project. The biggest gap identified is between an AI business goal and a specific path leading to it. One CIO calls the projects offered by user organizations as “invitations to AI fishing

Read More »

Riverbed tackles AI data bottleneck with new Oracle-based service

“Customers are looking for faster, more secure ways to move massive datasets so they can bring AI initiatives to life,” said Sachin Menon, Oracle’s vice president of cloud engineering, in a statement. “With Riverbed Data Express Service deployed on OCI, organizations will be able to accelerate time to value, reduce costs, and help ensure that their data remains protected.” Riverbed’s Aras explains that its Data Express Service uses post-quantum cryptography (PQC) to move petabyte-scale datasets through secure VPN tunnels to ensure that customer data remains protected during the transfer process. The technology is based on Riverbed’s SteelHead acceleration platform running RiOS 10 software. “Our cloud-optimized technology design delivers much higher data retrieval, data movement across the network, and data write rates, through highly performant data mover instances, instance parallelization and matched network fabric configurations. The design is tailored for each cloud, to ensure maximal performance can be achieved using cloud-specific product adjustments,” Aras says. “The time for preventing harvest-now, decrypt-later is now,” Aras says, referring to the security threat where encrypted data is intercepted and stored for decryption once quantum computers become powerful enough. The Riverbed service addresses use cases spanning AI model training, inference operations, and emerging agentic AI applications. Data Express is initially deployed on Oracle Cloud Infrastructure, but Riverbed said the service will orchestrate data movement across AWS, Azure, and Google Cloud Platform, as well as on-premises data centers. General availability is planned for Q4 2025.

Read More »

Roundup: Digital Realty Marks Major Milestones in AI, Quantum Computing, Data Center Development

Key features of the DRIL include: • High-Density AI and HPC Testing. The DRIL supports AI and high-performance computing (HPC) workloads with high-density colocation, accommodating workloads up to 150 kW per cabinet. • AI Infrastructure Optimization. The ePlus AI Experience Center lets businesses explore AI-specific power, cooling, and GPU resource requirements in an environment optimized for AI infrastructure. • Hybrid Cloud Validation. With direct cloud connectivity, users can refine hybrid strategies and onboard through cross connects. • AI Workload Orchestration. Customers can orchestrate AI workloads across Digital Realty’s Private AI Exchange (AIPx) for seamless integration and performance. • Latency Testing Across Locations. Enterprises can test latency scenarios for seamless performance across multiple locations and cloud destinations. The firm’s Northern Virginia campus is the primary DRIL location, but companies can also test latency scenarios between there and other remote locations. DRIL rollout to other global locations is already in progress, and London is scheduled to go live in early 2026. Digital Realty, Redeployable Launch Pathway for Veteran Technical Careers As new data centers are created, they need talented workers. To that end, Digital Realty has partnered with Redeployable, an AI-powered career platform for veterans, to expand access to technical careers in the United Kingdom and United States. The collaboration launched a Site Engineer Pathway, now live on the Redeployable platform. It helps veterans explore, prepare for, and transition into roles at Digital Realty. Nearly half of veterans leave their first civilian role within a year, often due to unclear expectations, poor skill translation, and limited support, according to Redeployable. The Site Engineer Pathway uses real-world relevance and replaces vague job descriptions with an experience-based view of technical careers. Veterans can engage in scenario-based “job drops” simulating real facility and system challenges so they can assess their fit for the role before applying. They

Read More »

BlackRock’s $40B data center deal opens a new infrastructure battle for CIOs

Everest Group partner Yugal Joshi said, “CIOs are under significant pressure to clearly define their data center strategy beyond traditional one-off leases. Given most of the capacity is built and delivered by fewer players, CIOs need to prepare for a higher-price market with limited negotiation power.” The numbers bear this out. Global data center costs rose to $217.30 per kilowatt per month in the first quarter of 2025, with major markets seeing increases of 17-18% year-over-year, according to CBRE. Those prices are at levels last seen in 2011-2012, and analysts expect them to remain elevated. Gogia said, “The combination of AI demand, energy scarcity, and environmental regulation has permanently rewritten the economics of running workloads. Prices that once looked extraordinary have now become baseline.” Hyperscalers get first dibs The consolidation problem is compounded by the way capacity is being allocated. North America’s data center vacancy rate fell to 1.6% in the first half of 2025, with Northern Virginia posting just 0.76%, according to CBRE Research. More troubling for enterprises: 74.3% of capacity currently under construction is already preleased, primarily to cloud and AI providers. “The global compute market is no longer governed by open supply and demand,” Gogia said. “It is increasingly shaped by pre-emptive control. Hyperscalers and AI majors are reserving capacity years in advance, often before the first trench for power is dug. This has quietly created a two-tier world: one in which large players guarantee their future and everyone else competes for what remains.” That dynamic forces enterprises into longer planning cycles. “CIOs must forecast their infrastructure requirements with the same precision they apply to financial budgets and talent pipelines,” Gogia said. “The planning horizon must stretch to three or even five years.”

Read More »

Nvidia, Infineon partner for AI data center power overhaul

The solution is to convert power right at the GPU on the server board and to upgrade the backbone to 800 volts. That should squeeze more reliability and efficiency out of the system while dealing with the heat, Infineon stated.   Nvidia announced the 800 Volt direct current (VDC) power architecture at Computex 2025 as a much-needed replacement for the 54 Volt backbone currently in use, which is overwhelmed by the demand of AI processors and increasingly prone to failure. “This makes sense with the power needs of AI and how it is growing,” said Alvin Nguyen, senior analyst with Forrester Research. “This helps mitigate power losses seen from lower voltage and AC systems, reduces the need for materials like copper for wiring/bus bars, better reliability, and better serviceability.” Infineon says a shift to a centralized 800 VDC architecture allows for reduced power losses, higher efficiency and reliability. However, the new architecture requires new power conversion solutions and safety mechanisms to prevent potential hazards and costly server downtimes such as service and maintenance.

Read More »

Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

Read More »

John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

Read More »

2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

Read More »

OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

Read More »

Engineering better care

Every Monday, more than a hundred members of Giovanni Traverso’s Laboratory for Translational Engineering (L4TE) fill a large classroom at Brigham and Women’s Hospital for

Read More »

Infinite folds

When Madonna Yoder ’17 was eight years old, she learned how to fold a square piece of paper over and over and over again. After

Read More »