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Labour’s 10-year NHS plan sets government up for failure

The Prime Minister's recent welfare reform failures are a bad omen. Credit: Getty

The Prime Minister's recent welfare reform failures are a bad omen. Credit: Getty

July 3 2025 - 5:00pm

Overshadowed by the welfare reform failures of the last few days, the NHS 10 Year Plan has finally arrived. Keir Starmer claims it will “fundamentally rewire” the way the UK’s health service will operate. It is focused on three guiding principles of transition: hospital to community, analog to digital, and sickness to prevention. Yet the plan is overly ambitious, setting the government up for failure. It also lacks the detail needed to convince staff and patients it can fix the healthcare crisis.

The plan to shift care from hospitals to communities is an admirable one. Hospitals are overwhelmed, and discharging patients — especially the elderly — remains a major challenge. Reducing hospital spending is risky without a corresponding boost to social care funding, which needs urgent reform, and not a review deferred until 2028. The danger is that if hospital funding is cut to support community care, it may no longer cope with rising admissions from an aging population.

Another key part of the plan is the introduction of neighborhood health centers. In theory these could lead to better access for patients without stepping foot into a hospital. However, the only concrete detail is that more money will be diverted to the community. How will they be funded and where will they be built? The plan claims they will be open “12 hours a day, 6 days a week”. If the NHS staffing crisis continues, one thinks not.

Current analysis shows spending plans will merely maintain the status quo. But for such a radical shift in the NHS, more money will be needed.

The digitalization of the NHS, through the NHS app, is what the Health Secretary believes will be a panacea to patient woes. Increased autonomy for our healthcare is needed, and if this works, it could help patients feel less lost in the maze of their care. For elderly patients though, who will increasingly make up a larger proportion of patients, many already feel lost with the current shifts to online services. For example, as a doctor, I’ve had consultations where the first 10 minutes are spent dealing with concerns around booking online appointments and how complicated it all is. That said, AI scribes and better IT systems to reduce bureaucracy would be welcome. But again, we wait for details on funding.

Much will depend on which companies the government chooses to deliver the new technology. It will most likely be Palantir and United Healthcare’s subsidiary Optum, both of which have questionable records. When these systems were implemented in the US, they didn’t work well, staff were disciplined for prioritizing patient safety, and in a service already plagued by cover-ups, scandals, and ignored patients, it’s hard to see how this will work without causing further problems in the long run.

The most important part of the plan, and the most difficult, is the shift from sickness to prevention. For decades health leaders have cited this as the way to create a sustainable health service, but almost none of them have been able to implement adequate policies. In the decade prior to the pandemic, public health funding was decimated, and initiatives to improve people’s health fell by the wayside.

The plan offers some ideas to make the country healthier: restricting junk food for children, tackling the problems of vapes and tobacco products and expanding the rollout of weight-loss drugs. In a time of increased vaccine skepticism, it also aims to increase the uptake of the game-changing HPV vaccine to prevent certain cancers. These are positive steps, but somewhat predictable and, like much else, lacking in substance.

The British people won’t see results in the near future. Tony Blair’s health secretary Alan Milburn — who is currently acting as a consigliere of sorts to Wes Streeting — once said: “The best political trick I pulled off was to publish a 10-year plan. Why? Because it basically bought time.” It would be uncharitable to assume Streeting is trying to merely buy time. Big fixes do take a long time. But voters will need to see things improving well before the halfway point for Labour to have a shot at a second term.


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

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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