Arthur Hayes, co-founder and former CEO of BitMEX, stated that the ongoing surge in artificial intelligence investments could eventually serve as a catalyst for significant growth in Bitcoin and the broader cryptocurrency market, particularly if the current AI boom collapses.
AI investments and risk of capital misallocation
Speaking at the Gamma Prime Investing Conference in Singapore during an interview with CNBC, Hayes called current capital flows into AI data centers a case of multitrillion-dollar misallocation. He pointed out that the scale of money entering the sector has the potential to lead to an oversupply of massive compute infrastructure.
Hayes argued that, “all this means is that we will have cheap and accessible massive compute power,” adding that this could have significant impacts on financial markets if the investment frenzy falters.
Hayes suggested that while the construction of extensive AI infrastructure could create near-term market volatility, the longer-term effect might be an oversupply that disrupts the sector’s balance. He believes such misallocation can increase the risk of a future credit crisis, mirroring past financial bubbles.
Mini dictionary: BitMEX — A cryptocurrency derivatives trading platform known for leveraged Bitcoin products. Arthur Hayes co-founded BitMEX in 2014 and served as its CEO until 2020.
Potential fallout and impact on crypto assets
Hayes explained that, should the AI buildout end with a broad credit event, government and central bank intervention would likely follow. In this scenario, authorities would inject additional liquidity into the global financial system in an attempt to stabilize markets.
He noted that, in his view, “Bitcoin and other cryptos are the likely winners of all this excess cash,” suggesting that the monetary policies designed to address a crisis could echo past events that fueled digital asset rallies.
Hayes clarified that an AI downturn might not immediately benefit cryptocurrencies. He remarked that an initial market unwind could negatively affect risk assets, including Bitcoin and equities. However, the subsequent monetary response—potentially including stimulus or easing measures—could provide a supportive environment for digital assets to outperform.
| Scenario | Immediate Effect | Long-Term Effect |
|---|---|---|
| AI crash | Negative for risk assets | Supportive for Bitcoin and crypto after monetary intervention |
| Continued AI demand | Supports infrastructure growth | Potential for companies to justify high compute investments |
Timeline and alternative outlooks
Hayes projected that this dynamic could materialize near 2027–2028, coinciding with the period when many AI infrastructure providers must show profitability to validate the massive capital spent.
He also acknowledged the possibility that surging demand for AI over the next year might validate these investments. In his view, companies could expand into their new infrastructure costs if AI’s utility grows rapidly enough.
Hayes referenced previous remarks he made in August, when he likened the current investment cycle in AI infrastructure to the lead-up to the 2008 financial crisis. He instructed market participants to focus on the extensive debt financing required for data centers and advanced hardware, rather than simply seeing this moment as another tech bubble.
Despite his skepticism about the pace of AI infrastructure growth, Hayes said he is not currently “shorting the AI boom.” However, he emphasized that he sees substantial overbuilding in the sector.
