AI Math Advances Raise Concerns About Cryptography and Blockchains

The panel said AI is already making notable progress on mathematical problems and proofs, including problems related to the Navier–Stokes equations. Potential applications in physics, engineering, and fluid dynamics may still lie ahead, but cryptography protects digital assets today. Johns Hopkins cryptographer Matthew Green warned: “I think we might lose public key cryptography.” The host said that would require a major restructuring of security protocols and the crypto industry.

The host noted that published papers on AI-enabled math breakthroughs had not included cryptography: agents may not have investigated the field, or results may be withheld while defenses are developed. The panel also allowed that cryptography may simply be too difficult for now. The industry has prepared for quantum threats and discussed a Q-Day scenario, but the host said the current risk is less understood: AI capabilities are emerging before the threat has been characterized. Unlike the known challenge posed by Shor’s algorithm, the threat could come from a new algorithm running on commodity hardware.

Vitalik Buterin advised against panicking or immediately moving funds to new wallets, while urging people to take AI-accelerated math risks seriously. He recommended reducing exposure to cryptography vulnerable not only to quantum attacks but also to AI. He identified risks involving MLDSA, FHE, and lattices; ECDSA could fall sooner than expected, making the fresh-address recommendation relevant. The host added that the next two years of AI progress could seriously reduce the concrete security of lattice schemes.

The market reaction was moderate, the host said: Bitcoin was down 3% on the day but still up 3% for the month. He also said the crypto community has a few months to “go bunker mode.” One panelist observed that the industry’s familiar response to headwinds—HODLing—may not be enough this time. The discussion also considered crypto’s approach to self-governance: proponents of government oversight of AI have called for registering large compute clusters, tracking data centers, and licensing training and inference, while many in crypto oppose restrictions on open-source models, according to one panelist. As an alternative, that panelist cited an open letter from the Bitcoin Policy Institute calling for stronger defenses and spending on inference to find a way forward.

The panel also considered a scenario in which an autonomous AI could gain capital by breaking wallets, then marshal compute and people to act in the physical world. This was discussed as a possibility, not as an established event. One panelist stressed that digital attacks or an accidental cryptographic breakthrough are fundamentally different from creating and distributing a biological weapon.