Key Points
Security experts and blockchain researchers are warning that advancements in machine learning are driving the development of quantum computing capabilities at an unprecedented pace. This convergence of technologies is forcing cryptocurrency platforms to fundamentally rethink how they protect digital assets and sensitive information.
The discussion around crypto security is shifting from "if it will happen" to "how soon it will happen."
Researchers and blockchain developers are increasingly warning that artificial intelligence could accelerate the arrival of quantum computing systems capable of challenging current encryption standards.
What once seemed like a distant hypothesis—that quantum computers pose a real threat to blockchain infrastructure—now appears to be arriving faster than the industry anticipated, raising concerns among leading researchers.
Understanding the Fundamental Risks
According to Alex Pruden, CEO of Project Eleven, the situation is changing rapidly. “Between quantum and artificial intelligence, we are entering a world where security no longer relies on traditional methods,” he said.
What was once merely academic speculation has now evolved into a real concern. Security experts are now pointing to a disturbing strategy known as “collect now, decrypt later”—where resource-rich adversaries systematically capture current encrypted information, anticipating future quantum computing breakthroughs to unlock it.
Illia Polosukhin, co-founder of NEAR Protocol and former Google AI researcher, expressed serious concerns about the timeline. “All the information we place on the internet, if you are identified as a target, can be assumed to be decrypted within two years,” he said. “This is likely already happening.”
The Dual Role of Artificial Intelligence
Artificial intelligence is not only accelerating the quantum threat but is also actively being applied in the current cryptocurrency ecosystem for offensive and defensive cybersecurity operations.
In contrast, blockchain developers are also leveraging AI for protective measures, including automated code reviews, formal verification processes, and comprehensive testing of encryption systems against quantum attacks. These methods can identify and eliminate vulnerabilities before malicious actors exploit them.
Polosukhin mentioned that his AI research work at Google began in 2016, emphasizing the accelerating trend of breakthroughs in machine learning. “The pace of research will accelerate from here, and we are already seeing some advancements that people didn’t expect to appear this early,” he said.
He further highlighted a concerning cyclical pattern: AI is facilitating the development of more complex quantum computers, which in turn may drive the creation of more advanced AI architectures.
Responses from Blockchain Platforms
Many