Hyperliquid's Yan warns crypto losing talent to AI as 17x crash risk looms

Crypto is losing its brightest young founders to artificial intelligence, a talent drain that Hyperliquid co-founder Jeff Yan identified as one of the industry's most pressing structural challenges.

"The industry's failure to attract enough top entrepreneurs has become one of its biggest obstacles," Yan said on the VALR podcast, warning that the social status and rapid growth associated with AI are pulling talented founders away from on-chain finance.

Yan argued that rebuilding the financial system from first principles offers young entrepreneurs a chance to solve difficult real-world problems, turning academic ideas into market designs that can operate reliably at scale. Rather than judging industries by their surface appeal, he urged prospective founders to study the problems each sector is trying to solve.

The warning comes as AI's gravitational pull on talent intensifies. China's Kimi K3 recently reached first place on the Frontend Code Arena, a result that prompted former White House crypto czar David Sacks to raise concerns about America's position in the AI race. Sacks argued that rules covering data centers and proposed federal reviews could slow US developers while Chinese companies continue improving their models.

The AI Boom's Talent Magnet

The competition described by Sacks helps explain why AI has become attractive to ambitious young developers and founders. Yan, however, believes crypto still offers meaningful technical work because building on-chain financial markets requires both entrepreneurial judgment and knowledge of economic design.

While AI companies compete for talent and capital, former Fidelity fund manager George Noble has warned that the investment boom could create severe financial risks. Noble estimated that an AI bubble collapse could cause 17 times more damage than the dot-com crash, which erased about $5 trillion from the Nasdaq. He linked that forecast to the large amount of money being directed toward AI infrastructure, arguing that if those investments fail to produce the expected returns, the losses could spread beyond technology companies.

"The fallout from this could really be much more significant," Noble said.

Yan did not frame AI's expansion only as a financial threat to crypto. His warning focused on the people entering the sector, with the Hyperliquid co-founder arguing that on-chain finance will need more capable entrepreneurs if it is to turn complex theories into financial markets that can serve users at scale.

This article is for informational purposes only and does not constitute investment advice.