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DEI takeover of NHS risks patient safety

Progressive ideology has infected the health service. Credit: Getty

Progressive ideology has infected the health service. Credit: Getty

September 19 2025 - 7:00am

Would you trust a health professional who thinks men can get pregnant? Almost certainly not, yet NHS trusts up and down the country are asking male patients about their “pregnancy status” before they have a CT scan. Just to show how ridiculous the question is, in some hospitals radiographers have been told to ask men as old as 60 — disqualified by age as well as gender — whether they might be pregnant.

“It’s mortifying to repeatedly ask middle-aged men — who at that moment have presented for life-saving treatment and are hooked up to monitors and multiple drips — what their sex is. Or worse, if they could be pregnant,” a senior radiographer told the Telegraph. The paper says that around 20 NHS trusts have told staff to ask all patients aged 12 to 55 whether they might give birth, regardless of their sex.

Apparently, the guidance was introduced after a woman who identified as a man had a CT scan, not realizing she was pregnant. According to whistleblowers who have talked to the Telegraph, however, policies dictated by trans activism and other fashionable ideologies are causing strife in hospitals and compromising patient care.

An NHS trust in Yorkshire, for instance, offers staff “anti-racism” training that supposedly develops a “deeper understanding of white privilege”. Hundreds of thousands of pounds are being spent on such courses in the name of diversity, equity and inclusion (DEI). Yet they are open to accusations of prioritizing slogans — and inducing guilt in well-meaning members of staff — while deep-seated problems remain untouched.

The extreme sensitivity of the NHS towards trans individuals, who make up a tiny proportion of the population, is a prime example. Imposing nonsensical language such as “pregnant people” does nothing to improve the functioning of maternity services, which have been the subject of one scandal after another. Indeed, the Government has asked Baroness Amos to undertake a “rapid review” of maternity services in 14 trusts, following allegations that the deaths of more than 800 babies could have been prevented in a single year between 2022-23.

That review will pay “particular attention” to the question of why black and Asian families have noticeably poorer outcomes. It’s one of the “racial inequalities” identified in the NHS by Health Secretary Wes Streeting back in February: black women are three times as likely as white women to die in childbirth, while black men are twice as likely as white men to die of prostate cancer.

The question posed by the testimony of whistleblowers, however, is whether DEI actually improves outcomes for patients from minority backgrounds. The risk of a trans-identifying woman being given a scan while pregnant could easily have been avoided if all NHS records stated sex correctly. But that would mean ignoring another policy demanded by activists: namely, allowing trans people to change their sex markers on official documents.

Instead of hospitals becoming safer, NHS trusts have encouraged — some would say bullied — staff into displaying Pride flags and watching their language. Streeting is often praised for speaking more sense than many of his colleagues, and he has acknowledged that “some really daft things” are done in the name of DEI. But even he refuses to call a halt to all the absurdities introduced into the NHS by an obsession with performative gestures.

Making sure patients receive the right treatment is surely more important than trying to avoid terms that might upset the easily offended. But it only takes a small group of zealots to capture an institution even as large as the NHS. Loosening their grip, and protecting patients from surreal and unnecessary interrogations, may be a task beyond our current crop of ministers.


Joan Smith is a novelist and columnist. She was previously Chair of the Mayor of London’s Violence Against Women and Girls Board, and is on the advisory group for Sex Matters. Her book Unfortunately, She Was A Nymphomaniac: A New History of Rome’s Imperial Women was published in November 2024.

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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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