AI supremacy race shakes markets as Anthropic’s IPO reveals industry risks

The artificial intelligence race is reshaping global markets, with two starkly different stories emerging this week: China’s tech sector in freefall and a rare glimpse into the financial realities of a leading AI startup. Together, they reveal the high stakes—and growing pains—of an industry where ambition often outpaces profitability.

China’s AI boom hits a wall

China’s once-soaring AI sector has suffered a dramatic reversal, wiping trillions from its stock markets. The STAR 50 Index, tracking Shanghai’s most innovative companies, has plunged 40% since June, while broader tech indexes have fallen by a fifth. The downturn reflects mounting scepticism about Beijing’s ability to sustain its AI push amid intensifying competition with the US and a lack of clear revenue streams.

The collapse is not just a market correction but a symptom of deeper structural challenges. Chinese AI firms, long propped up by state-backed investment, are now grappling with the same pressures that have forced Western rivals to confront their own financial unsustainability. The question is no longer whether China can keep pace with the US in AI development, but whether its model—heavily reliant on subsidies and less on organic growth—can survive the transition from hype to hard economics.

Anthropic’s IPO: the price of playing catch-up

While China’s struggles dominate headlines, Anthropic’s decision to go public offers a sobering look at the costs of competing in the AI arms race. The company’s S-1 filing, released on Monday, reveals a business growing at breakneck speed—yet haemorrhaging money. Anthropic’s revenue surged from $168 million in 2023 to $743 million in the first half of 2026, but its losses ballooned to $1.4 billion over the same period. The filing also highlights the risks: cyberattacks, regulatory crackdowns, and the existential threat of AI systems that could "act in unintended ways."

The document underscores the paradox at the heart of the AI industry. Companies like Anthropic are racing to build ever-more powerful models, but the financial toll is staggering. Training a single advanced AI system can cost hundreds of millions of dollars, and the returns remain uncertain. For investors, the IPO is a bet not just on Anthropic’s technology, but on its ability to turn cutting-edge research into a viable business—a challenge that has eluded even the most well-funded players.

Legal battles and ethical dilemmas

The industry’s financial pressures are colliding with legal and ethical concerns. Anthropic is already facing a lawsuit from a coalition of music rights holders, including Elvis Presley’s estate, which alleges the company used copyrighted songs to train its AI models. The case, filed in California, accuses Anthropic of building its business on "copyright infringement at a scale never seen before." It’s a stark reminder that the AI boom is not just a technological or financial story, but a legal and cultural one—with implications for creativity, ownership, and the very definition of intellectual property.

Meanwhile, the ethical risks outlined in Anthropic’s filing are equally troubling. The company warns that its AI systems could be misused to create bioweapons, spread disinformation, or even "act in unintended ways" that could cause harm. These warnings are not hypothetical; they reflect real-world concerns that have already led to calls for stricter regulation. Yet, as China’s market woes show, regulation alone won’t solve the industry’s fundamental dilemma: how to balance innovation with sustainability.

What’s next for AI?

The coming months will test the resilience of the AI sector. China’s government is likely to intervene to stabilise its markets, but the underlying issues—profitability, competition, and geopolitical tensions—won’t disappear. In the US, Anthropic’s IPO could set the tone for other AI startups eyeing public listings, but only if it can demonstrate a path to profitability.

For the UK, these developments serve as a cautionary tale. The country has positioned itself as a leader in AI regulation, but its own tech sector remains vulnerable to the same forces shaking China and the US. As the AI race intensifies, the real question is not who will win, but whether the industry can survive its own ambitions.