Hyperliquid co‑founder Jeff Yan warns that the crypto sector is losing top entrepreneurial talent to the AI boom — and that loss could be one of the industry’s biggest obstacles to building real-world financial systems.
Speaking on the VALR podcast, Yan said the surge of interest in AI — amplified by the technology’s current prestige and headline-grabbing breakthroughs — is pulling many of the brightest young founders away from crypto and fintech. He argued that a lot of talented people are unsure which field offers the greatest chance to create value, and too many are choosing AI over efforts to rebuild finance from first principles.
Why it matters, Yan says: rebuilding financial infrastructure is hard, high-impact work. It requires translating academic ideas into robust market designs that function at scale — a mix of entrepreneurial judgment and economic design that, in his view, remains more available and meaningful in on‑chain finance than many people appreciate. Rather than being swayed by an industry’s surface appeal, Yan urged prospective founders to study the underlying problems each sector is trying to solve and to consider on‑chain finance as fertile ground for creating new financial systems and market structures.
Yan’s warning arrives as Chinese AI projects gain ground on global leaderboards. China’s Kimi K3 recently topped the Frontend Code Arena rankings, prompting former White House crypto advisor David Sacks to sound an alarm about U.S. competitiveness. Sacks argued that rules on data centers, patchwork state requirements and proposed federal reviews could slow American AI developers while Chinese teams keep iterating — “This is how you lose the AI race,” he wrote — and called for a U.S. approach similar to the early internet era: allow product innovation without prior government permission, paired with targeted safety regulations.
The rush into AI has also raised financial stability concerns. Former Fidelity fund manager George Noble warned that an AI investment bubble — driven by massive capital flowing into infrastructure and model development — could inflict vastly larger damage than the dot‑com bust. Noble estimated a potential collapse might do up to 17 times the damage of the dot‑com crash, which wiped roughly $5 trillion from the Nasdaq, and said losses could spread beyond tech companies into the broader financial system: “The fallout from this could really be much more significant,” he said.
Yan’s central point remains about people, not just money: the crypto industry needs more capable entrepreneurs to convert complex theories into functioning on‑chain markets that serve real users at scale. With AI competing heavily for both talent and capital, Yan believes on‑chain finance must make a stronger case to founders who want to tackle difficult, meaningful problems — or risk ceding the next generation of builders to a different technological frontier.
Read more AI-generated news on: undefined/news
