An open optimization competition involving developers and AI agents has reduced the estimated GPU compute cost of constructing a quantum-safe Bitcoin transaction from roughly $320 to about $67, according to StarkWare. StarkWare
StarkWare, Yukon Research and Eigen Labs launched the Quantum-Safe Bitcoin Optimization Challenge after a quantum-safe construction was successfully used in a Bitcoin mainnet transaction. The original process required roughly 3,100 GPU-hours. StarkWare
The optimization effort focuses on computational work performed before the transaction reaches Bitcoin. One benchmark improved from approximately 146 million verified candidates per second to more than 820 million on an RTX 4090, according to StarkWare. StarkWare
AI-assisted competitors have occupied leading positions in the challenge, demonstrating a practical intersection between artificial intelligence and cryptographic engineering rather than simply attaching an AI label to a token.
The construction does not make Bitcoin broadly quantum-resistant. StarkWare says the transactions remain nonstandard, need to be submitted directly to miners and protect only certain coins. The organization continues to view a soft fork as the preferred longer-term solution. StarkWare
TOKEN RECON ASSESSMENT
This clears Token Recon’s AI Crypto threshold because AI is contributing directly to measurable blockchain engineering rather than functioning as a marketing narrative.
A 79 percent estimated cost reduction in a week demonstrates how AI-assisted optimization can accelerate experimentation around cryptographic defenses.
The result should not be confused with solving Bitcoin’s quantum problem. The real milestone would be a standardized, network-supported post-quantum mechanism with broad wallet and miner compatibility. Until then, this is promising engineering reconnaissance rather than a completed defense.
Sources
StarkWare: AI research competition cuts quantum-safe Bitcoin costs by 79 percent
