X Close

Labour is heading for a solvency crisis

Britain’s economic malaise goes deeper than Rachel Reeves. Credit: Getty

Britain’s economic malaise goes deeper than Rachel Reeves. Credit: Getty

4 July 2025 - 4:30pm

The important question to ask about Britain after seeing Chancellor Rachel Reeves crying at Prime Minister’s Questions this week is not “who will eventually replace her?” One need not even ask whether Keir Starmer is going to survive. The question that truly must be asked is whether or not the country is solvent.

Solvency is a long-term concept — an ability to service your debt in the long-term while maintaining a high degree of monetary stability. The answer seems to be no. Bond markets have sovereign debt as a unique category, because sovereign debtors have the right to raise taxes and issue debt. This is why EU debt is not sovereign but sub-sovereign, much to the annoyance of Brussels. But it is far from clear whether the UK government is in a position to exercise its fiscal sovereignty.

If a government with a majority as large as Labour’s cannot cut social spending or raise taxes, then what exactly is the nature of its sovereignty? Like other Nato leaders in Europe, Keir Starmer has just committed himself to the alliance’s 5% spending target by 2035, with no idea of how to finance it other than through borrowing.

In both France and the UK, the price of servicing debt is enormous. The UK’s Office for Budget Responsibility wrote in a report this week that it underestimated five-year borrowing costs, which will now amount to 3.1% of GDP — a cool £100 billion.

Paul Johnson, the director of the Institute for Fiscal Studies, was brutal in his latest assessment in the Times. “Debt is close to 100 per cent of national income, and it is not falling. Borrowing last year was over £150 billion. Spending on debt interest is well over £100 billion a year,” he wrote. “We can argue about the details of the fiscal rules, but the idea that we can simply borrow more to cover growing pension and benefit bills, and the promised £30 billion a year extra on defence spending, and to increase spending on health and all the rest, is for the birds.”

Labour will end up raising taxes, but this won’t solve the problem. A rise in further borrowing would be irresponsible and not tolerated by the bond market. The rise in gilt yields on Wednesday is a clear sign that the markets are now expecting another more Left-leaning chancellor than Reeves. Johnson, for his part, predicts a brutal budget in the autumn, with big tax rises. Given that Labour has no idea how to make structural savings in the economy, a rise in taxes is the only political choice available.

But it won’t work. Raising the money in the form of tax will slow down the economy and further change debt dynamics. Despite Brexit, the UK is now very European in terms of its tax rates and growth dynamics. It got rid of expat taxation and corporate taxes are at 25%, a rate that Germany will soon match. Income taxes are in the same ballpark.

European countries can either afford to raise defence spending, or maintain the current welfare provision, but they cannot do both and remain solvent. Since there is no widespread political desire for further welfare cuts, and since it seems increasingly harder to convince the electorate about defence spending, Labour could be facing a big solvency crisis in the coming years. The bond market’s behaviour certainly suggests as much.

This is an edited version of an article first published in the Eurointelligence newsletter.


Wolfgang Munchau is the Director of Eurointelligence and an UnHerd columnist.

EuroBriefing

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.

miquelvilam