While reports have confirmed an inverse relationship between artificial intelligence (AI) and cryptocurrencies—meaning investors are pulling funds out of crypto and directing them into AI-related stocks, including chipmakers and software developers—some are betting on crypto's resilience.
Looking at venture capital data for 2026, it becomes evident that AI is absorbing the capital available to all sectors: according to Crunchbase, in the first quarter of 2026, AI broke all records, reaching 80% of all global venture funding. And although crypto and AI may converge in some projects, the main beneficiaries of this trend have been pure AI and computing technology companies like NVIDIA.
This has contributed to the current stability of crypto prices, which have been fluctuating above the $60k support level for some time, given that interest in crypto markets has waned and the volume of liquidity available for injection into them has decreased.
Prominent crypto analyst and BitMEX co-founder Arthur Hayes openly supported this view. "There is no money for crypto. AI ate it all and will continue to eat it until the bubble bursts," he noted in a June interview for the podcast New Era Finance with Michaël van de Poppe.
Nevertheless, Jeff Park, a partner at ParaFi Capital—an investment firm with over $1.9 billion in assets under management (AUM)—believes that after the inevitable bubble burst, these funds will flow into Bitcoin.
"It's hard to believe right now, but all this wealth creation from AI is very bullish for BTC, because whenever there is a mismatch between assets and liabilities (which always happens) and capital flees, the perpetual asset that is Bitcoin will be there waiting, coiled up in the apathy of a whole generation," Park emphasized on social media.
Park's bet on excess liquidity returning to Bitcoin drew criticism from some who pointed to the correlation between the stock market and the crypto industry. Critics argued that a correlated decline could follow if AI ultimately crashes when debts start to weigh on companies with high capital expenditures for data centers and software, and the technology fails to achieve the significance expected to bring about changes in society as we know it.
