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Keir Starmer’s ‘working people’ gambit is falling apart

Are you working over there? Credit: Getty

Are you working over there? Credit: Getty

October 26 2024 - 8:00am

Perhaps the most remarkable thing is how long Labour’s “no tax rises on working people” line actually held. A masterstroke in strategic ambiguity, it allowed nearly all voters to hear “I won’t be taxed more than I already am” during the election, while offering Keir Starmer and Rachel Reeves plenty of breathing room to claim a mandate for specific tax hikes. That is, once they were safely ensconced beyond the thresholds of Number 10 and 11 Downing Street.

Could we not understand even senior royals as “working people”, in a week where King Charles carried out official engagements, made speeches and engaged with world leaders as Britain’s most senior diplomat at the Commonwealth Heads of Government meeting in Samoa? Semantically yes: even the King works — though of course, the very idea of the head of the monarchy being a “working person” is derisory.

But the soundbite was always going to crystallise into a functional definition sooner or later. We are now watching ministers and journalists contorting awkwardly in a merry dance where everyone knows what the definition is actually shaping up to be: people who primarily derive their income through work, rather than through returns on assets. Meanwhile government MPs desperately try to avoid calling Britain’s millions of private landlords non-working people, despite their wealth.

Starmer attempted to clarify the line with only marginally less ambiguity this week, suggesting a working person is someone who “goes out and earns their living, usually paid in a sort of monthly check” and who can’t “write a check to get out of difficulties”. Either way, we will find out for sure who counts next Wednesday, when Reeves presents her first budget.

Conspicuous by the unsubtle and looming presence of repeated non-denial-denials, it appears certain that the budget will include an increase in employers’ national insurance contributions. A tax on businesses, not working people. Except, there are thousands of small businesses run by people that are hardly hard-nosed, sharp-suited prospective investors for Dragons’ Den. Publicans, shopkeepers, hairdressers and local cafe owners are among them — as shadow deputy PM Oliver Dowden highlighted across the despatch box to Angela Rayner in this week’s Prime Minister’s Questions.

Inevitably, an increase in business costs from raising employer’s NI will result in smaller and deferred pay rises, and less hiring. It could quite reasonably be argued that this is in effect, an indirect method of raising tax revenue from working people — and that all Reeves and Starmer have achieved in their ambiguity is complexity.

Between them, income tax, national insurance and VAT account for the vast majority of tax receipts. Ruling out each of them — while actually raising income tax by stealth through keeping income thresholds fixed — was always going to lead to semantic arguments with and fights with numerous minority interest groups, like slowly pulling off many small plasters, rather than ripping off one big plaster in one go.

But it’s no use protesting to Reeves and Starmer. They’re just the doctors delivering the bad news to the ill patient. It wasn’t either of them — or indeed the public — that spent the last 14 years implementing a high-tax, low-growth system of governance.

This is all in the context of ruinous public finances and a large cohort of Baby Boomers retiring into health and social care needs. The only way out of it is economic growth, but that feels like a distant dream. Let us all hope that Labour has the intellectual and operational heft to deliver on it.


James Sean Dickson is an analyst and journalist who Substacks at Himbonomics.

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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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