Bitcoin’s growing correlation with AI stocks and credit leaves it exposed to an AI bubble unwind, but future easing could reignite BTC as liquidity returns.
Summary
- Bitcoin’s correlation with Nvidia, Oracle and the Nasdaq has risen, making BTC vulnerable to any sharp AI-led risk-off move and credit repricing.
- Central banks and the IMF warn that AI-fueled valuations, leverage and private credit structures could trigger a disorderly correction across risk assets.
- Analysts say an AI credit shock would likely hit Bitcoin first, but subsequent monetary easing has historically driven strong BTC upside as liquidity recovers.
Bitcoin faces dual risk from potential AI bubble correction, analysts warn.
Bitcoin’s (BTC) increasing correlation with artificial intelligence-related equities has created a structural vulnerability that could result in significant short-term losses if the AI investment boom unwinds, according to market analysts and financial stability assessments from major central banks.
AI and Bitcoin deepening ties
Oracle Corp experienced a sharp decline in market value on Dec. 11 after the company reported revenue below expectations and announced increased AI-related capital expenditures funded partly through rising debt levels. The stock drop pulled down shares of Nvidia Corp, Advanced Micro Devices Inc, and the broader Nasdaq index, according to market reports that characterized the movement as evidence of growing “AI bubble” concerns among investors.
Bitcoin declined on the same day, with analysts attributing the drop to reduced risk appetite stemming from weakness in the AI sector. The correlation between Bitcoin and Nvidia reached elevated levels over a three-month rolling window leading into Nvidia’s November earnings, according to analysis from 24/7 Wall St. Data for the Nasdaq also showed a materially positive aggregate correlation as of Dec. 10.
Bitcoin has fallen since the Federal Reserve began reducing interest rates in mid-September, while the Nasdaq has risen over the same period, according to market data.
Reuters reported that AI-linked valuations and macroeconomic indicators including the Buffett Indicator have pushed overall U.S. equity valuations beyond dot-com-era levels. Large technology companies have raised substantial sums through bond issuances this year to finance data centers and hardware infrastructure.
Moody’s chief economist stated that AI-related borrowing now exceeds technology sector debt levels seen before the dot-com crash. Multiple analysts have warned of a significant funding gap for AI infrastructure development, with spending levels far exceeding current revenue generation at many firms.
The Bank of England’s financial stability update explicitly highlighted stretched valuations in AI-focused firms and warned that a sharp correction in AI-linked equities could threaten broader markets through leveraged players and private-credit exposures. The European Central Bank’s Financial Stability Review stated that the AI investment boom is increasingly funded through bond markets and private capital, making it more exposed to swings in risk sentiment and credit spreads.
Estimates indicate that AI-related data center and infrastructure financing deals surged year over year, driven by bond issuance, private credit, and asset-backed securities. Some analysts have compared certain structures and opacity levels to patterns observed before the 2008 financial crisis.
Oracle’s capital expenditure plan for AI data centers, alongside increased long-term debt and elevated credit-default-swap spreads, represents the type of extended balance sheet that regulators have flagged as concerning, according to financial analysts.
Research analyzing Bitcoin versus global liquidity has found a strong positive relationship between Bitcoin prices and broad liquidity indices, with Bitcoin characterized as a “liquidity barometer” that performs well when global liquidity expands and poorly when it contracts, according to published market studies.
If AI-related credit markets experience significant stress, Bitcoin could face initial selling pressure as macro and growth funds reduce exposure during periods of deleveraging, analysts stated. However, the same scenario could prompt central banks to ease financial conditions in response.
The International Monetary Fund’s Global Financial Stability Report warned that AI-driven equity concentration and stretched risk asset valuations increase the likelihood of a “disorderly correction” and emphasized the need for monetary policy responses that avoid amplifying shocks.
Following the COVID-19 market shock in March 2020, aggressive quantitative easing and liquidity provision by central banks coincided with a substantial rise in total cryptocurrency market value over subsequent years, according to market data. Analyses mapping Bitcoin against global liquidity and the dollar index show that periods of monetary easing and dollar weakness have historically preceded significant Bitcoin price increases.
Recent market stress has seen capital concentrate back into Bitcoin rather than alternative cryptocurrencies, with Bitcoin’s market dominance climbing as liquidity thinned and volatility increased, according to market data. Exchange-traded funds have served as institutional on-ramps for Bitcoin investment.
Market analysts stated that Bitcoin’s challenge lies in its inability to decouple from the AI trade in the short term, while its medium-term performance depends on policy responses to any AI sector correction. In the immediate aftermath of an AI credit contraction, Bitcoin would likely decline due to its sensitivity to macro risk factors and liquidity conditions. In subsequent months, if central banks respond with renewed monetary easing, Bitcoin has historically captured gains as liquidity flows back into risk assets, according to historical market patterns.
Oracle’s Dec. 11 earnings report provided evidence of the live correlation, with Bitcoin declining during the same trading session that erased significant market value from Oracle’s equity capitalization, analysts noted.
