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Gold rush threatens US financial hegemony

‘Gold has surged precisely because demand from central banks has helped drive up its price.’ Credit: Getty

‘Gold has surged precisely because demand from central banks has helped drive up its price.’ Credit: Getty

June 4 2026 - 7:40am

The European Central Bank this week reported that gold has overtaken US Treasury paper as the world’s principal reserve asset. The precious metal now accounts for more than a quarter of the foreign reserves held by the world’s central banks.

Significant though this development may be, we shouldn’t get too carried away with talk of a post-dollar world just yet. Once one includes private assets, the greenback remains the world’s dominant currency, accounting for nearly half of the total and being used in nearly 90% of international payment settlements. What’s more, a substantial part of the recent increase in gold’s share results from the surging price of the commodity, which has doubled in just the last two years.

All the same, this is a milestone moment. Gold has surged precisely because demand from central banks has helped drive up its price. Meanwhile, even allowing for the fact that foreigners hold ever more private-sector assets in the US, the total share of American assets in the reserve portfolios of central banks has dropped to historic levels: from over 70% at the start of this century, the figure has fallen to a little north of 40%. And while the dollar still dominates international transactions, more countries are experimenting with bilateral arrangements. China’s CIPS system for cross-border transactions is rising quickly, its share doubling in just the last three years.

Although China runs a huge trade surplus with the rest of the world, it often runs deficits with developing countries. That gives many of them an interest in trading in the Chinese currency, which they can use to pay for Chinese loans and imports, making it likely the yuan’s role as a trade currency will continue rising.

Thus, while we may not be in a post-dollar world yet, there is clearly an appetite for one. In part, the search for alternatives is driven by domestic US politics: greater policy uncertainty, soaring national debt and deficits, and increasing withdrawal from the multilateral system have added a new element of risk to dollar holdings.

But economics also plays a part. Unlike the pound sterling, the currency it replaced as the world’s principal reserve asset after the Second World War, the dollar is today founded upon an especially fragile base. If Britain in the late-19th and early-20th centuries was what Adam Tooze has called a “hard-working hegemon”, running huge trade surpluses which it then reinvested abroad, the US could fairly be described as a lazy one.

The US runs trade deficits, which it then funds by having the rest of the world invest in America. In just the last decade, the country’s net international liabilities have doubled to nearly $30 trillion. In other words, the US boom is not built atop the manufacturing prowess that once made Britain a great power, but instead on the good credit of the rest of the planet. The country’s soaring stock market has been fueled by massive global flows of money. This has made Americans rich — how many more gloating essays must we read about how Europe is poorer than America? — but it’s also made them vulnerable to a change in sentiment. If the flow of money reverses, the house collapses.

Until now, the US has benefited from a net positive income flow. However, this is changing rapidly. As interest rates rise, its net income surplus is rapidly approaching zero. It could be that the early birds are pulling their worms from their US accounts and turning them into gold. Although it would unfold over years, this could be the start of a big story.


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

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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