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Wall Street is the loser from ‘Liberation Day’

The global restructuring has commenced. Credit: Getty

The global restructuring has commenced. Credit: Getty

4 April 2025 - 3:00pm

The consequences of the Liberation Day whirlwind are in full flow. Recently, Donald Trump’s trade policies have been a minor driver of market decline, but now there is little doubt that they are the main source of instability. Global financial markets are in free-fall after the White House imposed tariffs so high and so extensive that — if they stick — effectively signal the end of globalisation. In response, China has announced retaliatory tariffs of 34% on American imports to take effect on 10 April.

Much of the chatter around the tariffs has focused on technical details of levies on imported goods. Just as the Covid pandemic created a slew of armchair epidemiologists, so too Liberation Day has minted a gaggle of armchair economists. The crux of the matter is that the tariffs are designed to force the United States to balance its trade with the rest of the world — or, perhaps more accurately, to force the rest of the world to balance its trade with the United States.

This means that tariffs are calibrated relative to the size of the trade deficit that any given country runs with America. For example, Russia barely trades with the United States due to a decade of sanctions and so despite nominally being an adversary, it was hit with limited tariffs. Meanwhile Vietnam, nominally an American ally, got hit significantly because it runs enormous trade surpluses with the US. These policies have nothing to do with fairness or tit-for-tat trade war: they are part of a radical plan aimed at restructuring the global economy.

No one, even those in the Trump administration, know if they will work to America’s advantage. Tariffs this large should be expected to cause inflation domestically. Yet today it was announced that Opec+ is set to ramp up oil production dramatically, and, as a result, oil prices have crashed. Falling oil prices may be enough to offset the price increases from tariffs, although gas has remained relatively cheap in America due to the scale of internal production. Russia has long resisted an increase in oil production and the fact that Vladimir Putin’s trade envoy is currently in DC hammering out a bilateral economic partnership suggests that there is a much larger global strategy at play here.

As for the markets, there seems to be no end to how far stocks will fall and many are talking about another financial crisis. If they are correct, Wall Street could suffer more than it did in 2008. This is because its business model is the inverse of the globalised trade deficit model that the United States has run for years. In this model, America sucks in imports from the rest of the world and sends its trade partners paper dollars in return. Wall Street then recycles these paper dollars.

The Trump administration has signalled that it is deadly serious about rebalancing trade, which means that the excess dollars will stop flooding world markets. If this happens, much of the stock market’s current business model will no longer be viable. Financial markets should expect layoffs during the current downturn that will never be reversed.

Though many are wondering if the Trump administration understands how seismic its plan is, there is plenty of evidence that it does. Stephen Miran, Chairman of the Council of Economic Advisers and himself a veteran of Wall Street, released a blueprint weeks ago for how tariffs would be implemented. It shows, clearly and concisely, the potential downsides and what sort of problems might be faced as it is implemented. For example, Miran knows that American voters may bear the brunt of higher prices. “There is a path by which these policies can be implemented without material adverse consequences, but it is narrow,” he has conceded. The Trump team may be radical, but it is not completely ill-informed.

The US is taking an enormous gamble. Amid stiff competition from China and an ever-increasing deficit at home, American power has been waning in recent years. If it had continued as normal, its dominant global influence would have almost certainly been sacrificed. This new strategy, then, can be understood as a high-risk gambit to get the country on a stronger economic footing in an increasingly multipolar world. Russia, hardly hit, seems to be onside, while China, clearly aggravated, may be able to absorb much of the pain. Europe is the piggy-in-the-middle: disoriented, trapped, and unsure what to do next.


Philip Pilkington is a macroeconomist and investment professional, and the author of The Reformation in Economics

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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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