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Are Republican voters turning on DOGE?

Approval is falling for Trumponomics 2.0. Credit: Getty

Approval is falling for Trumponomics 2.0. Credit: Getty

25 February 2025 - 7:00pm

In 2009, raucous town halls for Democratic members of Congress were a sign that Barack Obama’s “hope and change” agenda risked a public backlash. Now, it’s elected Republicans who star in viral-video town halls, as they parry complaints from an enraged crowd. Many of these complaints have focused on cuts to federal programmes as well as DOGE layoffs, and they have put some Republicans on the defensive. One Republican House member, for instance, told NBC News that he wanted to see more “compassion” from the administration going forward.

To some extent, town halls are political theatre, and progressive activists have recognised in them an opportunity to hold Republicans’ feet to the fire. But they are also part of a growing pool of evidence that the sweeping disruption of the first month of the Trump administration has started to generate some resistance. Elected in part out of dissatisfaction with the economy of the Joe Biden years, the new regime cannot afford to take its eye off kitchen-table issues.

Beyond these town halls, some polling has raised red flags. While Trump remains more popular than during his first term (as well as considerably more popular than Biden in the closing year of his presidency), his numbers have dipped a bit over the first month of his presidency. Even more importantly, approval for his economic policies has also fallen in polling. A CNN poll published last week found that 51% of Americans thought the President had gone “too far” in cutting the federal government — and 62% believed that he was not doing enough to tackle inflation. Economic anxiety can be read in other measures, too. The consumer-confidence index dropped from January to February and remains well below where it was during most of Trump’s pre-pandemic presidency.

It’s obviously too early to judge the new administration’s economic programme, or to expect its agenda to have already had a major effect on inflation. But that polling does indicate where the public’s priorities lie. The Right-wing X echo chamber might delight in battles with the “deep state”, but the majority of swing voters turned to Trump in 2024 in part because of their warm memories of the economy during his first presidency. That gives him some goodwill now that he has resumed office, but it also means that voters expect him to deliver.

Trump was partly able to take over the Republican Party almost a decade ago because of the unpopularity of the austerity agenda which had become ascendant during the Tea Party era. Voters consistently backed away from the GOP when its talk about “limited government” transformed into proposals to slash federal programmes, especially entitlements. Sweeping federal cuts today could actually revive the pains that austerity inflicted on Republican electoral prospects. If the cuts seem erratic and haphazard, public sentiment could turn quickly.

DOGE’s allies insist that the growing US debt burden needs to be confronted. However, taking America’s fiscal challenges seriously only adds to the importance of not allowing administrative battles to get in the way of a bigger economic programme. Robust, broadly shared economic growth alleviates fiscal pressures and gives policymakers credibility when proposing bigger reforms. The last time that the United States tamed its deficit and took its debt burden on a long-term downward trajectory was in the late Nineties, when the go-go economy filled federal coffers and family bank accounts. For decades, recessions have caused a spike in deficit spending.

Reasserting presidential control over administrative agencies and slashing anti-growth regulations could be the first part of a broader populist agenda to shore up working families. At a certain point, though, disruption hits diminishing returns and becomes a political liability. Fiscal sanity and Republican political fortunes may both be tied to economic renewal.


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

1 July 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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