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Bob Vylan response shows the Right still isn’t woke enough

Bob Vylan frontman Pascal Robinson-Foster referred to Charlie Kirk as a 'piece of shit'. Credit: Getty

Bob Vylan frontman Pascal Robinson-Foster referred to Charlie Kirk as a 'piece of shit'. Credit: Getty

September 15 2025 - 11:55am

Far-Left British rage-bait rappers Bob Vylan have been courting clicks again, this time thanks to vocalist Pascal Robinson-Foster gloating at a gig in Amsterdam over the shocking assassination of American conservative activist Charlie Kirk. The American official response was swift: Christopher Landau, the Deputy Secretary of State, posted on X yesterday that the State Department “has revoked [Robinson-Foster’s] visa so at least he will not be engaging in his grotesque diatribes on American soil”.

The revocation had, in fact, already taken place. Earlier this year Robinson-Foster earned headlines for leading a chant of “Death to the IDF” at Glastonbury Festival, and it was this event which triggered the visa withdrawal. But the intervention of such a senior US Government figure following the online response to Kirk’s death signals that the mainstream Right is now catching up with the Left when it comes to harnessing digitally mediated mass emotion as a political force. But the absence thus far of concrete Right-wing policies pegged to that force suggests conservatives still trail their opponents when it comes to capitalizing on these new realities.

Kirk was allegedly shot by Tyler Robinson, a 22-year-old man who was reportedly radicalized in far-Left online communities and whose weapons were said to be inscribed with messages sympathetic to trans ideology. In response to the shooting, anger has erupted across conservative communities against a progressive movement now widely perceived as actively murderous. Online, a coordinated movement has emerged seeking sanctions against anyone posting in celebration of the shooting, with dozens of people fired for making such posts. Landau’s X post about Bob Vylan should be seen in this context, even though in reality it repurposed a sanction already invoked against the rap group.

These sanctions have in turn prompted another spate of classical liberal threnody about “Right-wing cancel culture”, denouncing the spread of online mobs across the political spectrum. Perhaps a more accurate framing, though, would be the now widely observable decay of 20th-century norms concerning the freedom to say offensive things. There was never any reason to suppose this decay would be confined to the Left: it likely appeared so initially because conservatives are by definition less disposed to be early adopters of anything. The emergence of swarm punishment squads in response to Kirk’s assassination demonstrates that this is now changing, as we might expect given the now definitive Anglosphere transition to digital-first culture. But how deep does this go?

The closest comparator event to date, for the Left, is probably the death of George Floyd in 2020. While Floyd’s death prompted weeks of rioting, destruction and chaos, conservative Americans have responded to Kirk’s murder chiefly through shock, anger, sorrow, and prayer. But there are clear parallels between the two in terms of emotive power, international reach, and the partisan split in interpretation, plus — importantly — the emergence of highly charged, crowdsourced online moral policing in the aftermath.

In assessing how deep post-liberal politics now reaches on the Right, though, the relevant difference is arguably how adeptly Floyd’s death was weaponized as a spearhead for progressive policy change. In the febrile moral atmosphere that followed, HR policies were transformed, police forces restructured, conservatives and moderates defenestrated from leadership roles, and significant sums of money allocated to influential voices associated with the post-Floyd “racial reckoning”. By comparison, to date there has been little sign from the Trump administration or aligned institutions of any equivalent structural moves in the wake of Kirk’s murder.

Such moves might include, for example, the designation of Antifa as domestic terrorists, and directing resources and manpower to disrupting its activities; comprehensive steps to proscribe transgender ideology in schools and public institutions; increased government funding for institutions promoting conservative values; and forcing changes in the leadership of any public institution perceived as in any way condoning political murders.

Reasonable people can disagree on how directly relevant any of this would be to the murder itself, much as people did — albeit sotto voce — during the Summer of Floyd. The point is that, along with creating a febrile online atmosphere and mobilizing online swarms against individuals perceived as unaligned, progressives parlayed Floyd’s death with gimlet-eyed efficiency into a far-reaching public policy program. At ground level, the Right is evidently catching up with the Left in grasping how post-liberal (which is to say digital) politics works. But there is, as yet, little evidence of comparable skill in the Right’s upper echelons when it comes to transforming raw internet energy into substantive institutional politics.


Mary Harrington is a contributing editor at UnHerd.

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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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