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NHS England abolition is long overdue

Starmer's NHS overhaul will be popular with doctors. Credit: Getty

Starmer’s NHS overhaul will be popular with doctors. Credit: Getty

14 March 2025 - 7:00am

Yesterday’s announcement from the Prime Minister marks a landmark shift in Government policy on the NHS. The scrapping of NHS England under Labour’s Milei-esque chainsaw could inject the service with a new lease of life, allowing it to escape the decade of suffocation it endured under its previous bureaucratic control.

In 2012, then-health secretary Andrew Lansley reorganised the health service, allowing it to be managed independently from the state. The ensuing decade combined austerity, rising bureaucracy, and a lack of responsibility for the deeply-entrenched problems within the health service to create a dismal legacy.

Current Health Secretary Wes Streeting yesterday admitted he could not count the number of Tories who had privately admitted their regret at the reorganisation and “wished they’d reversed it in office”. Various Conservative governments over the past decade seemed instead to dither around a disaster of their own making, before throwing money at the problem when it was already too late. Labour has now introduced reforms which may actually improve the NHS in the long run — and a true flagship policy for Streeting.

In his statement, the Health Secretary acknowledged the extent of the bureaucratic strata that define the health service for those on the front line. What’s more, after much reformist talk over the last few months, he is finally taking action to resolve the problem, cutting headcount by 50% and putting the NHS back under Government control.

Those working within the NHS are often overwhelmed by the sheer scale of the problem, finding themselves frustrated at the drawn-out nature of seemingly simple tasks. Patients don’t often understand why there are such delays during their hospital stays, or the complexity of the system in which they find themselves. It adds to the feeling of a service which has gone off the boil, with no one knowing where to begin when trying to address the problems.

The duplication of various services in NHS England is deeply illogical, a waste of desperately-needed time and money. To see Streeting recognise the sheer stupidity of doctors having to wait for broken computers to work (something we deal with on a daily basis) and instead stream the money saved towards technology and investing in the front line is the most hopeful I have felt about the NHS since I started working in it.

In 2022 Steve Barclay, the health secretary at the time, revealed that more than 400 bureaucrats employed by NHS England were on a salary of over £100,000 — roughly the same amount it would cost to invest in reducing logging in times for NHS staff, which could increase the number of patients seen. But over the next decade, there will need to be sustained investment into actual technology and AI for the health service; and it will need to be used, because it is the only chance the NHS has for survival in anything resembling its current form.

While yesterday’s cull is a risky move for both Starmer and Streeting, leaving them open to more scrutiny and responsibility for the NHS, it is still a commendable decision. And it’s not just doctors who support this new direction. Think tanks such as Reform have long acknowledged the service’s bureaucratic bloat and suggested abolishing NHS England before Labour entered power, giving more “strategic control” to the Department of Health and Social Care.

Of course, talk is easy — especially from politicians. Streeting has been vocal about NHS reform, but action is quite different to sound bites. With Labour embarking on its project of restructuring the NHS, focus must turn to what comes next. At least we now know that Starmer and Streeting are not afraid of accountability.


Dr Ammad Butt is a freelance writer and doctor working in the UK.

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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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