The current surge in artificial intelligence investment has reached unprecedented proportions, now eclipsing historical financial bubbles by a wide margin. According to a fresh assessment from Julien Garran, a research analyst at MacroStrategy Partnership, the AI bubble is roughly 17 times the size of the infamous dot-com bubble of the late 1990s, and it holds more than four times the wealth trapped in the 2008 subprime mortgage crisis.
Garran's analysis, reported by MarketWatch, points to a stark contrast with past episodes. While the dot-com crash had a relatively muted effect on U.S. GDP growth, as noted by macroeconomist David Henderson, the current AI investment wave has become a significant driver of economic expansion. This makes a potential reversal far more consequential for the broader economy.
The comparison to 2008 is particularly telling. In that crisis, banks had repackaged high-risk mortgages into seemingly safe investments, creating a house of cards that eventually collapsed. Garran draws a parallel to AI, arguing that many AI applications have yet to demonstrate durable commercial value. He notes that AI-generated products often fall into one of three categories: generic outputs that won't sell, regurgitated public-domain content, or material subject to copyright restrictions.
Marketing these products is also proving difficult. One AI startup in New York City has seen its subway advertisements defaced with hostile graffiti, a visible sign of public skepticism. Meanwhile, the costs of developing and running AI systems continue to climb, with each new generation requiring exponentially more computing power for only marginal improvements in capability.
Signs of a Plateau
Garran suggests that the key indicator to watch is the pace of progress among large language model developers. If a new model costs ten times more to train, using twenty times more compute, and yet delivers only a slight improvement over existing versions, that would signal a wall has been reached. Such a plateau could trigger a reassessment of AI's economic potential.
Absent continued breakthroughs, Garran warns that the economy is already slowing, and the explosive growth in the tech sector may soon reverse, echoing the dot-com bust. The sheer scale of the current bubble means that the longer it persists, the more painful the correction could be.
While predicting the exact trigger for a downturn is futile, the analyst's message is clear: the window for a relatively orderly exit is closing. The best time to address the bubble may have been yesterday, but the second-best time is now.
A new analysis reveals the AI investment surge is now 17 times larger than the dot-com bubble and four times the size of the 2008 subprime mortgage crisis. Analyst Julien Garran warns of limited commercial value and escalating costs, suggesting the economy may face a severe correction.
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