Researchers and blockchain developers are warning that artificial intelligence is accelerating the quantum computing timeline and forcing a fundamental rethink of digital security infrastructure. According to reports from Project Eleven CEO Alex Pruden, the convergence of AI and quantum computing is creating a new cybersecurity arms race where traditional encryption systems may no longer provide reliable protection. Illia Polosukhin, co-founder of NEAR Protocol and former Google AI researcher, confirmed that AI is already being used to accelerate scientific discovery, with machine learning systems optimizing quantum error correction - one of the field's biggest engineering bottlenecks.
The threat has evolved from theoretical concerns to practical reality as sophisticated actors begin collecting encrypted internet traffic today with expectations that future quantum computers will eventually decrypt it. As reported by Polosukhin, this strategy of 'harvest now, decrypt later' means that everything identifiable as a person of interest will likely be decrypted within two years. The implications are particularly severe for cryptocurrency networks, as most blockchain systems rely on the same elliptic curve cryptography used across the broader internet, making them vulnerable to quantum attacks that could theoretically derive private keys from public keys.
Major blockchain ecosystems are actively responding to the quantum threat, with Ethereum, Zcash, Solana, Ripple and NEAR all researching or implementing post-quantum migration strategies. According to NEAR Protocol's recent announcement, the platform is integrating post-quantum cryptography directly into its account infrastructure, allowing users to rotate cryptographic schemes without migrating assets to entirely new wallets. This approach was designed from the platform's inception in 2018, with Polosukhin noting that 'quantum will come, we should have an easy way to do it.'
While AI accelerates quantum threats, it simultaneously serves as both offensive and defensive tool in the evolving security landscape. As reported by security researchers, AI is becoming increasingly effective at identifying software vulnerabilities and implementation flaws, potentially accelerating cyber attacks. However, developers are also deploying AI defensively for code auditing, testing and formal verification, with AI helping with formal verification of post-quantum systems that theoretically makes them more secure. The result is a future where security must become an adaptive, continuously evolving process rather than static infrastructure upgraded only once per decade.
Despite the urgency of post-quantum migration, significant technical hurdles remain. According to Polosukhin, post-quantum cryptographic systems are often significantly larger and slower than current standards, creating implementation challenges for existing blockchain networks. The broader implication, as researchers emphasize, is that both AI and quantum computing are undermining a foundational assumption of the digital age: that encryption remains reliable for long periods. This shift toward adaptive security represents a fundamental change in how digital infrastructure must be designed and maintained to survive in an increasingly quantum-aware world.
