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Manchester Airport video raises questions over police toughness

Bodycam footage of PC Lydia Ward after being punched during the brawl. Credit: CPS

Bodycam footage of PC Lydia Ward after being punched during the brawl. Credit: CPS

12 July 2025 - 1:00pm

With new footage emerging from the Manchester Airport fracas, where a female police officer’s nose was broken, violence against law enforcement has once again been thrust into the spotlight.

Brothers Mohammed Fahir Amaaz and Muhammad Amaad are on trial for their part in the brawl with Great Manchester Police in the airport last July. Police officers had sought to arrest Amaaz after he was alleged to have headbutted another man, Abdulkareem Ismaeil, before a violent scuffle ensued. Jurors were shown footage of the incident’s aftermath, in which PC Lydia Ward was left with blood streaming from her nose. The officer — who is on record as describing herself as “petite” at 5’2” and eight stone — told the court that she was “absolutely terrified” during the experience.

The Manchester Airport incident will inevitably revive debates over the recruitment procedures, training, and deployment of resources in the realm of policing. Over time, there has been the “credentialisation” of entry routes. Prominent pathways include the Professional Policing Degree Holder, along with the Police Constable Entry Programme (PCEP) and the Police Constable Degree Apprenticeship (PCDA), where applicants are usually required to have a Level 3 qualification.

While conflict management, risk assessment, and interpersonal skills are important aspects of policing, there have been longstanding concerns that strength and fitness tests have been watered down in recruitment and training processes. One of the primary tests is the multi-stage fitness test (MSFT), commonly known as the “bleep test”, which measures aerobic capacity and stamina. While this test ensures a baseline level of fitness, there is the argument that it is inadequate preparation for the unpredictable and dynamic nature of frontline policing — particularly the need for short bursts of speed and strength in scenarios such as the Manchester Airport altercation.

The relationship between changes to recruitment/training procedures and the rising number of police assaults merits greater scrutiny. A BBC investigation from last year, based on freedom of information requests sent to every police force in the UK, found that there were a total of 37,786 physical assaults on officers in 2023 — an average of 103 a day and an 11% rise from the 2021 figure of 33,864. The actual figure is likely to have been significantly higher, as only 35 out of 45 police forces provided figures. Even though this increase could be attributed to Covid-related lockdowns, new figures published earlier this year revealed a total of 55,954 assaults on police officers over the past 12 months — every 10 minutes on average.

While a variety of factors could be responsible for these high levels of violence against police officers, such as declining levels of respect for authority and a lack of trust in law enforcement, the possibility that a greater proportion of emergency workers in frontline policing are viewed as physically soft targets cannot be ruled out. When it comes to the Manchester Airport incident, there is the admittedly sensitive question of how a police constable — petite by her own admission, below the average height for women in the UK, and standing in the region of only 50 kilograms — was left so utterly exposed as officers sought to arrest a young man suspected of a violent assault.

Indeed, there is an extraordinary paradox at the heart of the Manchester Airport brawl. The initial footage, which showed PC Zachary Marsden kicking Amaaz’s head as the latter was being restrained on the floor, reignited the debate around police brutality. However, the more recent clip of a tearful Ward gives us reason to address existing policing frailties. This includes re-evaluating the robustness of strength and fitness assessments in recruitment procedures and training programmes across our police forces.

Hard lessons must be learnt from the incident. The uncomfortable truth is that police officers are struggling to handle physical threats — and this will hardly bolster already declining public trust.


Dr Rakib Ehsan is a Senior Fellow at Policy Exchange.

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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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