X Close

US stocks are heading for a bear market

Federal Reserve Chair Jerome Powell still has much to worry about. Credit: Getty

Federal Reserve Chair Jerome Powell still has much to worry about. Credit: Getty

20 March 2025 - 1:00pm

On Wednesday the US Federal Reserve Board announced that it would hold interest rates, with a target in the range of 4.25-4.5%. Though the Fed expects to cut rates another couple of times in 2025, it also noted that America’s outlook has changed — which is bound to complicate the path ahead.

By predicting slower growth than previously expected, but higher inflation, central bankers are warning that the economy could slide into stagflation. That, as it happens, is the view of an increasing number of economists, who believe that the Trump administration’s volatile policymaking and use of tariffs could damage the American economy.

Of course, this very volatility makes forecasting even more difficult, but for now the Fed seems willing to give the administration the benefit of the doubt. At the press conference following the meeting, Chairman Jerome Powell was goaded by journalists into saying that the inflationary impact of tariffs could prove transitory — that dreaded word which hasn’t aged terribly well, since it’s also what he said about pandemic inflation.

But given this appearance of equanimity, investors interpreted the announcement as dovish, driving up prices of both stocks and bonds — the effect of the latter being to reduce interest rates on long-term debt. This reaction was a bit puzzling. For bonds and stocks to rally simultaneously in the absence of a clear sign of policy loosening is unusual. The former would suggest bond investors foresee a recession, and thus a fall in inflation; the latter suggests stock investors foresee a resumption of growth. Given that US stocks remained priced for close to perfection, with expectations of earnings presuming continued strong economic growth, one of these narratives will have to give before long.

This is because the Fed did not in fact signal an imminent loosening of monetary policy. On the contrary, the dot plot of the expected rate decisions of individual governors revealed that, if anything, the central bank has become more concerned with inflation, and may be more likely to tighten — rather than loosen — policy in the months ahead.

Although inflation has yet to turn upwards significantly, core inflation has not returned to the Fed’s target range and doesn’t look likely to do so anytime soon. Meanwhile, consumer and business surveys reveal expectations of sharply higher inflation in the months and years ahead. At the moment, a slowing economy is keeping the job market weak, so workers have been reluctant to demand pay increases. But given that labour-supply growth is slowing, due to Donald Trump’s tightening of immigration controls, any economic upturn will almost certainly result in wage inflation.

In the coming months, one of two things is therefore likely to happen. Either the economy picks up speed, raising inflation with it; or it loses speed, knocking down share prices. It’s quite possible, too, that not all Fed governors share Powell’s belief that tariffs will have only a passing inflationary impact. Indeed, given the Fed Chair’s patchy record of prognostication on this topic, caution would be advised. Inflation may yet rise as growth slows, which would be bad for both stocks and bonds.

In short, this rally may have legs, but it would take a brave soul to assume the bear market in US stocks isn’t happening soon. Anybody looking to buy into the rally should bear in mind a well-honed piece of financial advice: caveat emptor.


John Rapley is an author and academic who divides his time between London, Johannesburg and Ottawa. His books include Why Empires Fall: Rome, America and the Future of the West (with Peter Heather, Penguin, 2023) and Twilight of the Money Gods: Economics as a Religion (Simon & Schuster, 2017).

jarapley

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.

miquelvilam