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Russell Vought is a bigger threat than Musk to the DC system

Russell Vought appears at a Senate confirmation hearing last month. Credit: Getty

Russell Vought appears at a Senate confirmation hearing last month. Credit: Getty

February 10 2025 - 5:20pm

There has been a great deal of hue and cry over the activities of Elon Musk and DOGE within the new revolutionary Trump administration. More significant, though, was the confirmation of Russell Vought as head of the Office of Management and Budget late last week. These actions reveal much about the operation now underway, and further indicate some substantive policy priorities that may now be emerging for this new regime, beyond simply demolishing “woke”.

Firstly, Vought’s appointment shows Trump’s determination to avoid the mistakes of an earlier generation of conservatives. First time round, many assumed the machinery of government simply did what was asked, and cried “culture war” when this did not happen, all while failing to tackle the technical and managerial bone and sinew that produced these effects. So far, this time, every move has been oriented towards fighting a meta-policy battle viewed as a necessary preliminary to any actual policies: seizing control. And Vought, who also headed the OMB in 2016, has returned with a detailed plan for doing so.

Vought himself spelled this all out first in the chapter he wrote for the Heritage Foundation’s notorious Project 2025, and more recently in a lengthy interview with Tucker Carlson ahead of the election. There, he described his previous stint at the OMB, a supervisory department tasked with controlling the overall financing and efficient operation of all other programs: an “office of joined-up thinking”, if you will. Vought detailed the methods his institutional opponents used to evade any efforts at joining up the thinking: hiding pots of money, slow-walking policies, keeping officials in the dark, and otherwise obstructing presidential decisions. He detailed plans to claw financial control and the power to hire and fire civil servants away from the bureaucracy, and a slew of other instruments — dry and technical on the surface, but of paramount political importance — for reasserting control.

Now, with access to US Government IT systems already in the grip of a warband of youthful hackers led by a radicalized tech billionaire, the rest of the administrative and financial keys have been handed to another Trump loyalist, this time with a black belt in Swamp karate, and a grudge against everyone who thwarted him last time. And whether you view his approach as reining in an unacceptably powerful federal bureaucracy, or unacceptably politicizing a neutral public sector to the benefit of autocrats and billionaires, depends, as so much does in these Schmittian times, on where you’re standing.

Vought’s actions have also been in keeping with this new administration’s proclivity for getting inside its opponents’ “OODA loop” — a term developed by USAF general John Boyd to describe a method of disrupting military enemies by moving too fast for them to make sense of what’s happening. In line with this methodology, Vought set briskly to work over the weekend: 36 hours after assuming oversight of the OMB, he shuttered the Consumer Financial Protection Bureau. This may seem obscure, but is the latest offensive in a long-running battle. The CFPB was set up as an independent body in the wake of the subprime crisis, with the aim of protecting ordinary citizens from predatory financial practices. Since its foundation, though, critics have complained of its Left-wing politicization, worsened when the original plan for bipartisan leadership was junked for a single, politically appointed director who triggered institutional drama in the early days of Trump 1.0.

More recently, too, Silicon Valley tech titans Mark Zuckerberg and Marc Andreessen have complained on Joe Rogan’s podcast of politicized CFPB regulation. Former Hill staffer and monopolies journalist Matt Stoller, meanwhile, suggests that such complaints are highly disingenuous and that Big Tech just doesn’t want regulatory oversight on plans to roll out the kind of “Everything apps” already popular in China, which effectively make their owners providers of consumer finance.

Are we witnessing Trump bringing a politicized Swamp bureaucracy to heel, or his Big Tech backers using that as cover to eliminate an agency that stands in their way? Perhaps both are true. Regardless, all of this should be of interest to frustrated Right-wingers on this side of the pond, especially those who do not identify as conservative.

Britain is now highly volatile. Even longstanding Labour loyalists are savaging Prime Minister Keir Starmer’s ideological vacuity and flimsy program, while the Continuity Tories are languishing and Reform UK is surging. All is to play for, though a would-be insurgent Right may have less time than Vought did to flesh out an equivalent program for moving from empty culture-war complaints to managerial offensive.


Mary Harrington is a contributing editor at UnHerd.

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China is threatening America in the AI race

Reports sugget Zhipu AI  has released a new model that can rival leading US systems. Credit: Getty

Reports sugget Zhipu AI has released a new model that can rival leading US systems. Credit: Getty

July 1 2026 - 10:18am

China is trying to catch up with America on artificial intelligence. The Wall Street Journal has reported that Zhipu AI — one of China’s six “AI tiger” LLMs — has released a new model that can rival leading US systems, including Anthropic’s Mythos, in cybersecurity tasks such as pinpointing security bugs. While this marks a milestone in China’s drive to catch up with Western AI capabilities, strong performance on a single benchmark does not mean it has taken the lead. Chinese models still lag behind their Western counterparts in broader capabilities, such as autonomous operation. Skepticism is therefore warranted before resorting to hysterical conclusions, but complacency about the geopolitical implications of China’s AI advances would be an even greater mistake.

On the infrastructure side, Chinese AI is still constrained by access to advanced chips, with American labs way ahead in computing capacity as well as investment. Analysis from earlier this year suggests that Chinese models are likely to be at least a few months behind those in the US. But they are still continuing to make progress, or that the geopolitical importance of AI will be decided only by whose LLM has ventured deeper into the technological frontier. The practical applications of AI, countries’ to capture foreign markets, and the application of AI into the real economy will matter just as much.

Here, China may hold an advantage. As with its dominance across many critical supply chains, Beijing may not need to produce the most advanced AI systems — only those that are affordable and widely deployable. In doing so, it could consolidate global influence by supplying functional, low-cost AI at scale.

Beijing seems to be pursuing exactly that path, developing an AI “open-source” strategy that offers affordable, widely available AI models for companies and individuals to use and modify as they wish. The production of the DeepSeek AI model, which matched the performance of Silicon Valley tools such as ChatGPT at a fraction of the cost for users, created goodwill among Chinese models with developers.

The four most popular models on OpenRouter, an AI hardware platform for developers, are now all Chinese. The goal for China is not only to win the frontier-model race, but to make its systems the default layer of AI adoption across industries and global markets. For most economies, the choice is increasingly between an affordable tool they can deploy now and a more robust one that may be out of reach.

And while the countries adopting Chinese models may be exposed to political pressure and cyber threats from Beijing, safer and more capable alternatives matter little if they are unaffordable. American AI companies are already under pressure to monetize products whose operating costs are rising. If Chinese open-source models become the cheap default for startups, universities, governments and businesses across the developing world, then America’s AI lead will be eroded from below.

Perhaps more concerning for America in the long run is how AI can give Chinese manufacturing even more strength, through the ongoing integration of AI as a general-purpose technology. China’s new Five-Year Plan mentioned AI more than 50 times and includes an “AI+” action plan aimed at spreading AI across the economy.

Beijing has been pioneering automation of its critical infrastructure for years, with promising recent results in increasing warplane production capacity. In that regard, China’s open-model strategy and manufacturing dominance will reinforce each other. Cheap, adaptable models accelerate deployment across the real economy while those deployments generate real-world data and use cases that can feed back into further model improvement.

The United States should not dismiss the importance of its lead in the AI race. That lead worries Beijing, not least because a more automated Chinese economy would also become more vulnerable to AI-generated cyber threats. But nor should Washington assume that China cannot catch up with American capabilities over time.

This AI competition represents part of a broader struggle over tech supply chains and geopolitical influence. Decisions over whether to adopt US or Chinese models could produce a more fragmented global reality, with different regions relying on different cloud providers, chips and security structures. The result will likely be a global economy which is divided into competing spheres, rather than one which produces a single winner.


Miquel Vila is a political and geopolitical risk consultant focusing on industrial strategy, critical infrastructure and global supply chains.

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