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Why is the dollar weakening?

Some think we are the start of an epochal change in global finance. Credit: Getty

Some think we are the start of an epochal change in global finance. Credit: Getty

18 February 2025 - 1:00pm

Something strange is happening in world markets.

Conventional economic theory presumes that US tariffs will strengthen the dollar. If American traders judge their customers will substitute local for imported goods, they’ll demand less foreign currency, reducing its value against the greenback. However, the flurry of tariff announcements since Donald Trump took office last month has apparently had the opposite effect, and is weakening the dollar.

In itself this isn’t cause for alarm. Indeed, by making imports more expensive it could help the President to meet his goal of reducing the trade deficit, thereby providing short-term benefits to the US economy.

But there is some concern as to what is driving this decline, because it may actually be a symptom of a deeper malaise. The weakening dollar overlaps both with a continuing rally in the price of gold, which is now setting all-time highs, and with the rotation out of US assets, as the dynamism in world stock markets shifts from the US to Europe, Asia and elsewhere. The gold rally is driven both by central bank and retail buying, while the rotation out of the US market is apparently being undertaken by foreign investors repatriating money. But taken together, it seems to indicate that the world is starting to hedge against the possibility the US will turn permanently inwards.

These are subtle shifts which time may reveal to be purely cyclical. Were, say, Donald Trump to roll back his tariffs, investors might well return to the US. Indeed, the expected hit from tariffs to both corporate profits and the economy as a whole has not produced major falls in US share prices, suggesting that investors have already concluded that Trump won’t follow through on his threats.

All the same, the value of the dollar merits watching, because it’s possible a structural change is beginning. Although the US’s share of global trade is less than its share of global output, the country remains central to the world economy because it is its biggest importer. It’s able to run a chronic trade deficit because everyone else is willing to take IOUs, which they then treat as cash — essentially, the US credits the accounts of foreign governments on the implicit understanding the US will one day come good on its debts. Since nobody calls in the debts, the world economy can keep humming on the credit extended to the US.

Put simply, the stability of the world economy rests on a shared understanding: the world lends the US money to buy its goods. That loaned money is then invested in the US economy, in stocks, bonds and real estate, pushing asset values up and interest rates down, giving Americans the financial wherewithal to keep buying.

In his determination to reduce the trade deficit, though, Donald Trump threatens to upend this arrangement. If their US reserves drop, foreigners will have less to invest in the US. Not only could this potentially slow the US economy, but it could reduce the growth of the global dollar supply. Were America to turn inward permanently, its status as the keeper of the global reserve currency could one day even come into doubt.

If it’s this possibility for which forward-looking fund managers and central banks are preparing, then what’s happening right now to the dollar may be an early warning of what’s to come. For the foreseeable future, lacking any serious rival, the US dollar will remain the global reserve currency. But it may just be that we’re in the earliest stages of an epochal change in the world economy, as investors start contemplating radically different futures.


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).

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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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