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JD Vance escalates pressure on Zelensky in new interview

JD the structural realist. Credit: Fox

JD the structural realist. Credit: Fox

March 4 2025 - 7:00am

On Monday night, JD Vance appeared on Sean Hannity’s Fox show to declare a Zeitenwende in US foreign policy: from the idealism of the neoliberal era to a structural realpolitik attuned to the constraints of American and European power.

The Vice President’s clash with Volodymyr Zelensky in the Oval Office has dominated geopolitical conversations since Friday, and Vance emphasized throughout his Hannity appearance that he and Trump were not looking for fireworks with the Ukrainian leader. Vance also hammered home to the Fox host the necessity of some kind of peace deal.

But perhaps most revealing was the VP’s implicit argument for why some ceasefire had to be obtained. Geopolitics during the presidencies of Bill Clinton, George W. Bush and Barack Obama was often seen through a normative lens: what should be done? In contrast to that normative approach, Vance insisted on the sheer practical unsustainability of the Ukraine conflict. For him, the war was not a question of “values” but instead blood, cash, and steel. As he put it: “Fighting forever with what? With whose money, with whose ammunition, and with whose lives?”

Contemporary populism has been forged in the fires of disappointment — from debacles abroad to a financial crisis at home — so populist leaders like Trump and Vance have often emphasized the limits of projecting American power abroad. Vance’s invocation of money, ammunition, and lives underlines some of the hard constraints upon both American and European policymakers. For decades, many NATO security partners have underinvested in their militaries. As recently as 2021, Germany was spending under 1.5% of its GDP on defense, while most NATO countries spent barely more than 2% just last year. The Biden White House projected that American defense spending as a percentage of the national economy would itself decline over time — even as it was committing the United States to open-ended support for Ukraine. Needless to say, that is not a sustainable trajectory.

The Ukraine crisis has exposed the vulnerability of defense supply chains for the United States and many of its allies. Policymakers on both sides of the Atlantic are increasingly recognizing the need to rebuild a domestic defense industrial base, and shortages of critical supplies and defense materiel loom. The new pause on American supplies to Ukraine shows how important the “whose ammunition?” question is — and escalates pressure on Zelensky to return to the bargaining table.

In addition to those hard constraints, Vance also alluded to a soft constraint: public opinion. For instance, some polling suggests a growing American desire for an end to the Ukraine conflict. Populism has thrived on a disjunction between elites and the public at large, and Vance argued that — behind closed doors — many European leaders admitted that somehow the war had to end.

As the Vice President noted, Biden’s moralistic denunciations of Putin did not stop the Russian leader from launching his Ukrainian invasion. Credibility in foreign affairs depends in part upon hard power, and the neoliberal era undermined its own idealism. Deindustrialization and defense cuts chipped away at the pillars supporting the “rules-based international order”. Failed regime-change efforts abroad soured the public on sweeping programs of ideological transformation.

Those foundations could be renewed. NATO partners could rebuild their militaries, reinforce their manufacturing ecosystems, and rebalance their security commitments in a time of geopolitical change. For proponents of structural realpolitik, the first step to that renewal is recognizing the reality of limits.


Fred Bauer is a writer from New England.

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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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