OpenAI's Math Breakthrough Raises Alarm in Cryptography Community
nashnova research
OpenAI released over 300 math research results in a single batch, prompting top cryptographers to warn that AI's advancing math capabilities could undermine the encryption protecting global online payments and messaging — forcing markets to reassess the long-term security assumptions behind crypto and digital infrastructure.
What holds internet encryption together?
Modern internet security rests on one core assumption: certain math operations are "easy to encrypt, nearly impossible to decrypt."
In plain terms = locking data with a public key is fast, but unlocking it without the private key is computationally prohibitive — online payments, WhatsApp messages, and crypto wallets all depend on this asymmetry.
This means → if AI discovers a new algorithm that bypasses this "hard to crack" barrier, it's not one app that breaks — it's the entire internet security infrastructure exposed at once.
What do the pioneers of cryptography think?
Whitfield Diffie, co-inventor of public-key cryptography and a visiting scholar at Stanford, wrote: "I expect profound changes in mathematics, and cryptanalysis will not be exempt. One year may be too soon; five years may not be enough."
Martin Hellman, Diffie's co-inventor and Stanford professor emeritus, was more optimistic: AI-assisted attacks will disrupt cybersecurity short-term, but long-term, AI will also help patch vulnerabilities.
Johns Hopkins professor Matthew Green was blunter: "I think we may lose public-key cryptography." Ethereum Foundation security researcher Justin Drake called on the blockchain industry to enter "bunker mode."
Why did OpenAI leave cryptography out of the release?
Of the 300-plus results published, not a single one touched cryptography — and that absence itself triggered speculation.
Green told *The Information* that OpenAI may have disclosed cryptographic findings to the U.S. government first, given their security implications. Silverfort CEO Hed Kovetz said the public may never learn what was found.
This signals something deeper: when an AI company actively withholds a category of results, the silence itself is information.
Which encryption is most likely to break first?
Green said he can imagine frontier AI achieving a fundamental breakthrough in elliptic-curve cryptography — a mainstream scheme that uses elliptic-curve math to encrypt data — within two years.
Cloudflare found in 2025 that a single elliptic-curve algorithm, X25519, "currently protects the majority of internet connections." This means → what's at risk is not a niche algorithm but the backbone defense of internet traffic.
Green warned: if elliptic-curve encryption falls, the fallback is alternative schemes that are less studied and harder to guarantee — the backup options themselves are not mature.
Are there reasons to think it won't be that easy?
Princeton professor Ewin Tang was more cautious: these algorithms were specifically designed to resist being broken, and implementation-level code bugs are a more immediate concern than the algorithms themselves.
Tang acknowledged, however, that less-studied encryption schemes — including some designed to be quantum-computer-proof — could be solved or weakened by AI.
Put simply = mainstream algorithms may not collapse overnight, but the newer schemes built "for the future" could ironically be the first to fall.
What does this mean for markets?
Whether AI can truly crack mainstream encryption remains a matter of substantive disagreement — but the cryptography community is already treating the risk seriously.
This means → markets need to reassess the long-term security assumptions behind infrastructure assets that depend on current encryption: from cryptocurrencies to online payment platforms, the foundational security premise is not guaranteed to hold forever.
This reflects an emerging risk dimension: AI's capability leaps don't just reshape product competition — they could reshape the trust layer of the entire digital world.
市场有风险，内容仅供研究参考，不构成投资建议。