The current markets are gripped by a fear that isn’t primarily linked to cryptocurrencies it’s tied to artificial intelligence. Analysts are increasingly voicing concerns that the boom in AI has led to an inflated bubble, which, if it bursts, could send repercussions rippling through Bitcoin ($BTC) and the entire cryptocurrency landscape.
What’s alarming is that the early warning signs experts identified have already begun to unfold. The cryptocurrency market has faced a decline for months as investments have shifted from digital currencies into AI-focused stocks. Bitcoin, for instance, has plummeted from over $100K to approximately $60K. Thus, the pressing question is not “What if AI takes a minor hit?” but rather “What if the AI bubble actually bursts on top of a market that’s already vulnerable?”
Defining the AI Bubble: What Analysts Are Saying
The term 'AI bubble' highlights concerns that the valuations of AI companies and their supporting infrastructure are far beyond what their economic fundamentals can sustain. This realization is reflected in institutional surveys; for example, a Bank of America poll showed that 45% of fund managers identified an 'AI bubble' as the biggest risk currently facing the market a sharp increase from just 11% two months prior. Furthermore, over half of these managers believe that AI stocks are already in bubble territory, largely due to excessive spending and disappointing returns.
Underlying Issues: Spending vs. Revenue
The main issue stems from a significant disparity between expenditures and actual revenue. Financial analyst HedgieMarkets recently issued a warning that the AI sector’s expansion could see a more severe collapse than the dot-com bubble of the early 2000s. The AI industry reportedly spent around $400 billion to generate merely $60 billion in revenue by 2025, with most entities seeing negligible returns. Compounding this problem, the financing model for this expansion is predominantly debt-driven, increasing the likelihood of widespread failures among private equity firms, banks, and already financially strained consumers should growth expectations falter.
The potential liquidity impact is alarming. Arthur Hayes estimates that about $1.5 trillion in debt has been accrued by major AI infrastructure companies between late 2022 and mid-2026 precisely correlating with a rise of the same amount in the M2 money supply during this period. He argues that AI has essentially absorbed all newly created dollars.
The Ongoing Correction
What’s crucial to understand is that the correction analysts warned about has already started. Back in late 2025, when warnings about the AI bubble first emerged, Bitcoin was trading above $100K. Analysts highlighted that there was a risk of an AI-induced sell-off pulling Bitcoin down to the range of $60K to $75K. At the time, that was the bearish scenario, noting that even if the AI bubble were to burst, institutional support could cushion Bitcoin’s losses compared to previous downturns. Some analysts, like Nomad Bullstreet, pointed to fundamental factors supporting Bitcoin during these challenging times.
