Even AI's most ardent supporters are beginning to face an uncomfortable truth. Signs of an economic bubble are flashing, and the danger extends beyond Silicon Valley. If the AI boom stalls, will the overall U.S. economy stumble along with it? The question is no longer theoretical. This is a concern expressed by investors, economists, CIOs, and business leaders across the country.
Jeremy Krantz, founder and managing partner of Sentinel Global, said, “It's difficult to say for certain whether AI is supporting the entire economy,” but the circular economy in this field is AI companies and data center companies By investing in each other, we create a “trickle-down economic effect” for the companies we support. These include general contractors, home builders, providers of people who operate data centers, employees, retailers and restaurants you buy from, and more.
“Recognizing trickle-down economics when we're talking about the potential for $1 trillion in spending in the economy around one particular topic or sector, namely AI, supports the belief that it's actually supporting the entire U.S. economy,” Krantz said.
however, bubble burst Still under discussion.
“This is unlikely to be a risk in 2026,” said Christopher Hodge, chief U.S. economist at Natixis CIB Americas. “At some point the wind may be taken out of the sails of AI and optimism diminishes, but that doesn't seem to be in the short term.” reason? “Hyperscalers are in an arms race, and 2026 capex plans remain very high, driven in part by favorable tax changes in the One Big Beautiful Bill,” Hodge said.
CIOs are struggling to see a way forward in both scenarios where AI failure is relatively contained, or AI failure plus a larger financial hit. All is not lost, however, as CIOs still have time to be proactive and reshape their strategies and budgets.
Christopher Hodge, US Chief Economist, Natixis CIB Americas
working power
Evidence of tensions is mounting on multiple fronts. The first collapse has already begun to tear through the labor market, with some warning that mass and sudden layoffs could undermine consumer confidence and spending. Employers cut 1,171,000 jobs in 2025 through December, a 54% increase compared to 2024, according to Reuters. report. Related, above 7 million Americans are unemployedExcluding the pandemic year, this is the highest number since 2017. And while the headline unemployment rate remains relatively low at 4.4%, it is almost 1 percentage point higher than in recent years. This is a clear sign that finding work is becoming much more difficult, both for experienced workers who have been laid off and are looking for new jobs, and for entry-level workers looking to enter the workforce.
Investment supply and demand
Some see a potential crash forming within the AI sector itself. Economist, London Business School lecturer and author Rebecca Homkes said that while complaints about GenAI's hallucinations and errors are well known, this discussion is not about flaws in the technology, but rather “the hype cycle of AI hyperscalers' current beliefs.”
“There is a fine line between investing in supply and investing in tangible demand, and the key debate is the speed and timing of adoption by organizations,” Homkes added.
While AI adoption rates are rising across the board, the luster is fading at large companies where the big bucks reside. Census Bureau Business Trends and Outlook investigation According to , AI usage reached 10% of U.S. businesses in September, up from 3.7% a year earlier. However, AI adoption in large enterprises slowed significantly over the summer as many production deployments failed to generate meaningful ROI.
“Announcement by a reliable player” [that] “They're pulling back on AI investments, and this market is going to be shaken up,” Homkes said. “The challenge we have now is that for every report that shows increased AI adoption and tangible benefits, there's another report that shows a lack of ROI.”
In fact, hesitance is starting to show up in earnings reports from the hyperscalers that are funding a wave of new data center construction across the country. Case in point: Microsoft stock recently fell 3% following reports that the company was fraudulent. Revenue growth has not yet caught up We're making huge AI investments. The potential for a broader domino effect, impacting not only the AI field but also adjacent industries, has led to concerns about stalled investment cycles, falling valuations, and billions of dollars worth of underutilized AI data centers.
AI and GDP
Alfonso Berumen, a decision science practitioner at Pepperdine University's Graziadio School of Business, said that while investment in AI is boosting productivity and capital spending, it is “not the only force behind the U.S. economy.” But “growth is a different story,” he said, adding that recent estimates show that AI-related investments accounted for more than two-thirds of GDP growth at an annual rate of 1.6% in the first half of this year.
“This shows that while AI is not the bedrock of the economy, it is overly responsible for the gradual growth we are currently seeing. If investment in AI slows, aggregate GDP could fall quickly as other sectors contribute much less to marginal growth,” Berumen added.
From a high-level perspective, these forces appear to be tilting the already uncertain U.S. economy, plagued by changing tariffs, rising inflation, rising business closures, and rising unemployment, toward the potential for AI to collapse. But looks can be deceiving and you need to dig deeper to find out what's going on.
Effect of bubble
A bubble economy is a period in which current asset prices significantly exceed their intrinsic valuations, but there is no formal standard for calculating a bubble. Dan Buckley, principal analyst at DayTrading.com, said he assesses whether AI is in a bubble “based on seven indicators.”
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It is more expensive than conventional measures.
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Bullish sentiment is widespread.
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Asset purchases are typically made with high leverage
After considering these metrics, Buckley concluded that “pockets of the AI sector are certainly in bubble territory.” But the U.S. economy as a whole “is not necessarily doomed,” he said.
Buckley's assessment falls noticeably short of providing total reassurance and clearly doesn't match the hyperscalar AI hype. But underlying voices like his is a harsher reality than is immediately apparent.
“A setback in AI could still spill over into credit markets that rely on supply chains, data center construction and technology growth,” said Paul Ferrara, a chartered investment manager at Avenue Investment Management. He suggested that CIOs who want to “avoid painful snapbacks” “may want to focus on sustained rather than rapid gains.” [AI] expansion. “
Rich Pleeth, CEO and Co-Founder of Finmile
CIO budget strategy
Advance warning is advance warning, and regardless of the fate of the AI bubble and the overall U.S. economy at stake, experts are advising CIOs to act now in preparation for a harsh wake-up call to budget realities.
Rich Preece, co-founder and CEO of Finmile, a transportation logistics company that offers AI-based shipping and route optimization, said if AI slows, “we'll see weakness in other areas very quickly.” The risk, he says, is not that AI will disappear, but that it will no longer be a “blank check.”
“The safest course for CIOs and businesses is to prioritize AI, which the market assumes will bring cost savings and operational efficiencies, and has always done so. Projects that survive a recession will be those that are directly tied to unit economics, rather than vanity experiments,” Preece said.
Overall, the consensus is that complete anomalies and AI cuts are unlikely to be justified.
“Bubbles burst, but industrial revolutions don't,” says Jason Wilde, a former executive at Microsoft, Salesforce and IBM, and co-author of Genius at Scale with Harvard Business School Professor Linda A. Hill.
Wilde said he knows a correction is coming, given that acts like OpenAI are “spending more than $2 for every $1 they earn, while consuming $5 billion a year.” But like the previous dot-com bust, “this shakeout will accelerate the AI revolution, not end it.”
Wilde said he sees this situation as contradictory, as most CIOs are retreating to cut costs in anticipation of the bubble bursting. But he predicted that while competitors lay low, other companies would chart a braver path.
“The boldest will plan system-level changes through frugal experimentation, prepare to acquire strategic assets at a fraction of their highest valuations, and co-create a future where they can be world class,” Wilde said.
