Global Economists Sound Alarm: AI Bubble Risk Could Trigger Global Market Crash
In a chilling warning to investors, a group of economists are sounding the alarm on an impending reckoning with the rapidly growing artificial intelligence (AI) industry. With revenues from AI rising at breakneck speed, but profit margins looking increasingly elusive, experts warn that the "slop" layer of low-quality AI-generated content is becoming a major liability.
As AI continues to be widely adopted, corporate bosses are cutting payroll costs by outsourcing tasks to machines, much to the dismay of workers who are struggling to compete with the efficiency and speed of AI. But beneath the hype lies a concerning reality: many companies are simply not profitable.
The financial risks associated with investing in AI are mounting, with Bloomberg reporting $178.5 billion in datacentre credit deals in 2025 alone. However, these investments are often secured against future revenue, which is far from guaranteed. The rapid depreciation of Nvidia chips used to power datacentres adds another layer of complexity to the equation.
The AI bubble is not just a matter of overvaluation; it's also a case of financial engineering gone wrong. Complex funding arrangements that echo past corporate crashes are becoming increasingly common, and experts warn that this could have far-reaching consequences for global markets.
A share price correction would rip through retail investors worldwide, causing damage to Asian tech exporters and private equity firms that bankrolled the sector's rapid expansion. In the UK alone, a 35% drop in global stock prices could knock 0.6% off GDP, resulting in a Β£16 billion deterioration in public finances.
While some may take schadenfreude at the prospect of big tech bosses facing humility, economists warn that this would be an unmitigated disaster for everyone involved. With AI becoming increasingly ubiquitous, we're all living in its world, and we can't escape the consequences.
As Cory Doctorow cautions, "AI isn't the bow-wave of 'impending superintelligence'. Nor is it going to deliver 'humanlike intelligence'. It's a grab-bag of useful tools that can sometimes make workers' lives better, when workers get to decide how and when they're used." The AI bubble risk could be more than just a cautionary tale; it might be an economic wake-up call.
In a chilling warning to investors, a group of economists are sounding the alarm on an impending reckoning with the rapidly growing artificial intelligence (AI) industry. With revenues from AI rising at breakneck speed, but profit margins looking increasingly elusive, experts warn that the "slop" layer of low-quality AI-generated content is becoming a major liability.
As AI continues to be widely adopted, corporate bosses are cutting payroll costs by outsourcing tasks to machines, much to the dismay of workers who are struggling to compete with the efficiency and speed of AI. But beneath the hype lies a concerning reality: many companies are simply not profitable.
The financial risks associated with investing in AI are mounting, with Bloomberg reporting $178.5 billion in datacentre credit deals in 2025 alone. However, these investments are often secured against future revenue, which is far from guaranteed. The rapid depreciation of Nvidia chips used to power datacentres adds another layer of complexity to the equation.
The AI bubble is not just a matter of overvaluation; it's also a case of financial engineering gone wrong. Complex funding arrangements that echo past corporate crashes are becoming increasingly common, and experts warn that this could have far-reaching consequences for global markets.
A share price correction would rip through retail investors worldwide, causing damage to Asian tech exporters and private equity firms that bankrolled the sector's rapid expansion. In the UK alone, a 35% drop in global stock prices could knock 0.6% off GDP, resulting in a Β£16 billion deterioration in public finances.
While some may take schadenfreude at the prospect of big tech bosses facing humility, economists warn that this would be an unmitigated disaster for everyone involved. With AI becoming increasingly ubiquitous, we're all living in its world, and we can't escape the consequences.
As Cory Doctorow cautions, "AI isn't the bow-wave of 'impending superintelligence'. Nor is it going to deliver 'humanlike intelligence'. It's a grab-bag of useful tools that can sometimes make workers' lives better, when workers get to decide how and when they're used." The AI bubble risk could be more than just a cautionary tale; it might be an economic wake-up call.