Forecasts for our future world

Can Artificial Intelligence Break Bitcoin's Cryptography?

Bitcoin security meets neural chip

This is the question that we all fear to ask in the present uncertain times. An AI system could help steal Bitcoin without discovering any new mathematics. It might trick people into revealing the recovery phrase of their wallets, steal keys from a compromised device, or exploit a software bug, all failures of different sort and different from breaking a cryptographic mathematical algorithm.

Bitcoin relies on a system called public-key cryptography. A private key, which is a secret number, lets a wallet create a digital signature approving a transaction. A matching public key lets anyone check that signature without learning the secret. Bitcoin's signature methods, ECDSA and Schnorr, use mathematics based on elliptic curves. Creating a public key from a private one is easy, but reversing that process appears extraordinarily difficult. The work needed grows rapidly as keys get longer. At Bitcoin's key sizes, even the best known methods on ordinary computers require an astronomical amount of computation. No publicly demonstrated AI method can efficiently recover arbitrary, properly generated Bitcoin private keys from their public keys.

Bitcoin also uses the cryptographic hash function SHA-256 to turn data into a digital fingerprint: a string of 256 zeros and ones. These fingerprints help secure transaction records and support mining. A hash is not encrypted text waiting to be decoded. Finding data that produces a particular fingerprint is a different task from finding any two pieces of data with matching fingerprints. Both are expected to be far beyond practical reach for SHA-256, and a matching pair would not automatically reveal anyone's private key. Mining sets an easier task: finding a fingerprint whose numerical value falls below a chosen limit.

Could AI discover a better attack? Yes, it could propose mathematical ideas, search for patterns and test algorithms. A July 2026 research preprint called CryptanalysisBench, reports previously unknown attacks of some candidate cryptographic schemes. That is evidence of useful cryptanalytic reasoning, not evidence that Bitcoin's primitives have fallen. A claimed advance must work on the actual scheme at realistic parameters. Greater intelligence could uncover a shortcut, but it cannot make an unchanged exponential computation cheap merely by understanding it better.

Quantum computers pose a separate threat because they can use applied quantum physics to tackle some problems in ways ordinary computers cannot. A powerful enough machine could work backwards from a Bitcoin public key to its private key, allowing an attacker to forge signatures and steal funds. Making an AI system smarter does not, by itself, give it this quantum capability. Known quantum methods could also speed up some attacks on SHA-256, although those attacks would still require an enormous amount of work. Today’s quantum computers are not powerful enough to break Bitcoin’s cryptography, and it remains uncertain when such machines might become available.

Bitcoin could prepare by adopting new kinds of digital signatures designed to resist quantum attacks. These “post-quantum” signatures already exist and run on ordinary computers. The US National Institute of Standards and Technology (NIST) has standardized some of them. Adopting them would require coordinated changes to Bitcoin’s rules and wallet software, and users would need to move their funds to new types of addresses. Larger signatures could increase transaction costs. There would also be difficult decisions about coins whose owners never make the move. A transition is possible, but it would require careful testing and agreement.

By 2031, the evidence suggests AI-assisted attacks on wallets and software will be a more firmly grounded concern than a fundamental break of Bitcoin’s cryptography. AI-driven mathematical discovery is a credible risk to monitor, but current evidence cannot justify predicting such a break within five years. Equally, it cannot guarantee safety. The scientific response is continued cryptanalysis, stronger implementations and preparation for cryptographic migration.

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Cosmologa
Cosmologa

PhD in Theoretical Physics. DeFi, DeSci, DePhy, techno-anarchy, watcher of the Universe. Amateur writer and science communicator. Check out my new science outreach YouTube channel https://www.youtube.com/@CosmologaLabs


Forecasts for our future world
Forecasts for our future world

Trying to predict the future with AI, one question at a time

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