AI Reduces Quantum Bitcoin Attack Costs by 86% in Two Months

A quantum computer capable of cracking Bitcoin’s cryptography has long been treated as a distant, almost theoretical problem. But new research suggests the math behind that threat is shrinking faster than anyone expected, and artificial intelligence is the reason why. Over just two months, a group of researchers working alongside AI coding agents managed to reduce a key benchmark for a quantum attack on Bitcoin and Ethereum by 86%, according to a paper published this week and first reported by Decrypt. The finding shows how AI reduces quantum Bitcoin attack costs in ways that could reshape the urgency around blockchain security.

Key takeaways

• AI coding agents helped researchers cut a quantum attack benchmark on Bitcoin and Ethereum from 10.75 billion to 1.496 billion operations, an 86% drop, in just two months.
• More than 100 researchers from Eigen Labs, Trail of Bits, StarkWare, Theta Labs, MultiVM Labs and the Ethereum Foundation contributed to the work.
• The Ethereum Foundation still targets December 2029 for quantum-resistant transactions, validators and storage, even as attack-side research accelerates.
• Binance’s Bitcoin reserves hit a two-year high near 693,000 BTC, while Bitcoin ETFs logged $283 million in net outflows and Ethereum ETFs saw $30 million leave.

AI Agents Slash Quantum Attack Costs on Bitcoin and Ethereum

The core finding is straightforward but unsettling for anyone who assumed quantum threats to crypto were decades away: a benchmark measuring the resources needed to break Bitcoin and Ethereum‘s cryptography dropped by 86% in just two months, thanks in part to AI agents working alongside human researchers. That timeline matters as much as the number itself, because it suggests progress on the attack side can move far faster than the industry’s defensive roadmaps assume.

Benchmark Reduction and Technical Details

Bitcoin and Ethereum both rely on secp256k1, an elliptic curve used to secure digital signatures. In theory, a sufficiently powerful quantum computer could reverse that math and extract a private key from a public one, which is exactly the scenario researchers have been racing to quantify. A competition called ECDSA.Fail, run by Eigen Labs, scored competing circuit designs by multiplying logical qubits against Toffoli gates, an expensive type of quantum operation. Lower scores mean the attack would require fewer computational resources.

The metric dropped sharply from 10.75 billion to 1.496 billion during the period spanning late May through July 26 of this year, with the top-performing design requiring 1,151 logical qubits and about 1.3 million Toffoli gates, while a subsequent entry managed to bring the gate total under the one-million mark. That leading figure landed at roughly half of Google Quantum AI’s March benchmark, though the two competitions used different counting methods, so a direct comparison isn’t entirely clean.

Research Collaboration and Published Paper

The paper behind these results carries names that double as crypto’s own security establishment: Eigen Labs, Trail of Bits, StarkWare, Theta Labs, MultiVM Labs and the Ethereum Foundation all contributed. More than 100 researchers took part, pairing human expertise with AI coding agents in what the team calls Open Autoresearch, a method built around a shared measurable target and a verifier checking each iteration along the way.

The logic behind publishing work that makes an attack cheaper is counterintuitive at first glance, but the researchers argue that knowing the real cost of a quantum attack is the only way to plan a credible defense. If nobody measures how close the threat actually is, nobody can size the response correctly either.

Implications for Quantum Security and Blockchain Defenses

This result lands in the middle of what’s become a broader quantum scramble across the crypto industry, one that has been building for weeks even before this paper surfaced. The gap between how fast attack research can move and how slowly institutional defenses adapt is now the central question for blockchain security teams.

Quantum Scramble and Ethereum’s 2029 Quantum-Resistant Deadline

The Ethereum Foundation has set a hard December 2029 deadline to make transactions, validators and storage quantum-resistant. StarkWare has already pushed the first quantum-safe Bitcoin transaction to mainnet, and Ethereum developers have proposed rebuilding the validator deposit contract with quantum resistance in mind. Ripple, separately, is working to harden the XRP Ledger against the same category of threat.

Regulators are watching the underlying cryptography timeline too. Researchers behind the new paper point to a NIST draft proposing that classical public-key algorithms at the 112-bit security level be deprecated after 2030 and disallowed entirely after 2035. That’s a fixed, multi-year schedule on the defense side. The attack side, by contrast, just became 86% cheaper in two months because roughly a hundred people pointed AI agents at the problem. That asymmetry is exactly why this research matters: every existing timeline in this space was built on the assumption that attack research moves at human speed, and this paper is the first hard evidence that assumption may no longer hold.

Industry Investments and Quantum-Safe Developments

Money is already flowing toward quantum-safe infrastructure. Galaxy committed up to $5 million toward the effort in July, and a separate group of nine firms, including BlackRock, Coinbase and Strategy, pledged $15 million over three years toward quantum-resistant development. Those commitments show an industry hedging against a threat it still can’t precisely time, but is no longer willing to ignore. None of this implies funds are at risk today, and the researchers themselves stop short of forecasting when a practical attack might become feasible. What they’ve demonstrated is narrower but still significant: the cost curve is bending faster than expected.

Recent Cryptocurrency Market Movements and Regulatory Updates

Away from the quantum research, crypto markets have been sending their own signals this week, and a couple of them are worth watching alongside the security story.

Binance’s Bitcoin Reserves and ETF Outflows

Binance’s Bitcoin reserves climbed past 693,000 BTC, a two-year high that now represents roughly 30% of all Bitcoin held across major exchanges. Around 77,000 BTC has flowed onto the platform since late April, according to data cited by Decrypt. Meanwhile, institutional appetite for spot Bitcoin ETFs has cooled in the short term: the funds saw $283 million in net outflows on Thursday, while Ethereum ETFs recorded $30 million in outflows over the same period.

Regulatory Actions and Legal Developments

On the policy front, Senate Republicans released a revised, 630-page Clarity Act draft ahead of a planned procedural vote, adding a CFTC registration requirement for protocols the bill labels “decentralized-in-name-only,” while leaving other provisions largely unchanged. Separately, Sam Bankman-Fried has petitioned the U.S. Supreme Court to overturn his fraud conviction, arguing he was prevented from showing that customers ultimately lost nothing and calling the $11 billion forfeiture an excessive fine. Both developments remain pending and unresolved, but each carries the potential to reshape how regulators and courts treat crypto going forward.

FAQ

How much did AI agents reduce the quantum attack cost on Bitcoin and Ethereum?

AI coding agents helped reduce the quantum attack benchmark by 86%, dropping it from 10.75 billion to 1.496 billion operations over roughly two months, between late May and July 26.

Who conducted the research on quantum attacks on Bitcoin and Ethereum?

More than 100 researchers from Eigen Labs, Trail of Bits, StarkWare, Theta Labs, MultiVM Labs and the Ethereum Foundation collaborated on the work, which was published as a paper this week.

What are the implications of the quantum attack cost reduction for Bitcoin and Ethereum security?

The reduced benchmark score adds urgency to quantum-resistant defenses even as the Ethereum Foundation works toward its December 2029 deadline for quantum-resistant transactions, validators and storage. It doesn’t predict when a practical attack could happen, but it shows attack-side research can move faster than defense timelines assumed.

What recent market trends were noted alongside the quantum research news?

Binance’s Bitcoin reserves hit a two-year high near 693,000 BTC, roughly 30% of major exchange holdings, while Bitcoin ETFs saw $283 million in net outflows and Ethereum ETFs recorded $30 million in outflows over the same stretch.

Article produced with the assistance of artificial intelligence and reviewed by the editorial team.