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UK’s £50 billion black hole has made higher taxes inevitable

Nowhere left to go. Credit: Getty

Nowhere left to go. Credit: Getty

7 August 2025 - 10:00am

Better services for nothing! That was pretty much Chancellor Rachel Reeves’s offer to voters during last year’s election campaign: that a Labour government would improve public services without raising taxes on working people.

Although in theory she’d pay for better services with faster economic growth — as if nobody else had ever come up with that idea before — in practice the pledge meant that taxes would have to go up for the rich and employers. Even with that, her imposition of higher National Insurance employer contributions raised the cost of creating jobs, and arguably hit workers.

Regardless, the gambit failed. Britain’s finances continue to deteriorate, with new estimates suggesting she now faces a black hole of as much as £50 billion in her autumn Budget. Even if that figure is on the high side, few doubt the accounts are straining.

That leaves the Chancellor facing an uncomfortable dilemma: break her pledge not to raise taxes further, or cut spending. With the Government committed to boosting the NHS and increasing defence funding — and with widespread public concern about the decline in Britain’s services, especially at the local level — spending cuts will be hard to implement. If anything, recent backbench rebellions over welfare restrictions suggest she has already tested her party’s tolerance for austerity to the limit.

Admittedly, Reeves would have a difficult task at the best of times. It’s often said that the British public wants European-level services for US-level taxes. Meanwhile, between a conservative tendency to depict taxes as theft of hard-earned money and a Left-wing fondness for taxing the rich to feed the poor, the median voter resists tax rises for anyone but the most wealthy. It’s thus hard to make a case for taxes as a reasonable price to pay for the services one gets in return.

It shouldn’t have to be this way. The Nordic model of using broad-based taxes to fund public services shows there is a social-democratic case to be made for building a welfare state that isn’t purely redistributive. There is scope for tax increases in Britain. Compared to its OECD peers, Britain lies in the mid-range of developed countries for the share of GDP which is consumed by taxes — higher than the US, but a good deal lower than Germany or France.

Meanwhile, it leans more heavily on corporate taxation than most of Scandinavia, raising questions as to whether taxing business is the best way to build a welfare state. Denmark, for instance, opts for broad-based income and consumption taxes to fund what is widely considered a model welfare state and excellent public services.

One would think the Labour Party, with its tradition of community and rejecting the more libertarian temptations of the British Right, would see the virtue in this. It should have been able to make a case for taxes as the price for the services that bind the country together, whether that be healthcare, social care or public broadcasting. But the current Labour leadership chose not to do so during the election campaign, allowing Tory tax pledges to instead set its agenda. It’s now paying the price for mimicking that rhetoric.

Having raised false hopes last year, Reeves can’t postpone making that case any longer. The public reaction may not be very welcoming. Given that this is a problem of her own making, she may find it difficult to muster much sympathy — though everyone sees she could use some.


John Rapley is an author and academic who divides his time between London, Johannesburg and Ottawa. His books include Why Empires Fall: Rome, America and the Future of the West (with Peter Heather, Penguin, 2023) and Twilight of the Money Gods: Economics as a Religion (Simon & Schuster, 2017).

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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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