The Quantum Threat to Crypto: How AI is Accelerating the Timeline
The crypto industry has long debated the potential threat of quantum computing to blockchains like #Bitcoin and #Ethereum. However, with the rise of artificial intelligence (AI), this threat is becoming more urgent. Researchers believe that AI may be accelerating the timeline for quantum computing, forcing a broader rethink of digital security. This is especially concerning for individuals looking to earn passive income through crypto, as the security of their investments is at risk.
The convergence of AI and quantum computing has significant implications for the security of online transactions and earning potential. As AI becomes more advanced, it can be used to optimize quantum error correction, one of the field’s biggest engineering bottlenecks. This means that quantum computers may become capable of breaking modern encryption sooner than expected, putting the security of crypto transactions at risk. EcoPool (ECP) is working to address this issue by developing quantum-resistant infrastructure for crypto, ensuring that users can continue to earn $ECP and other coins securely.
The Growing Concern of “Harvest Now, Decrypt Later”
The growing concern is that governments and sophisticated actors are already collecting encrypted internet traffic today with the expectation that future quantum computers will eventually be able to decrypt it. This strategy, often referred to as “harvest now, decrypt later,” means that even if you’re using a secure coin like $ECP, your transactions may still be at risk. EcoPool is working to stay ahead of this threat by developing new security protocols and implementing post-quantum migration strategies.
The implications for crypto are severe, as most blockchain networks rely on the same elliptic curve cryptography used across the broader internet. A sufficiently powerful quantum computer could theoretically derive private keys from public keys, allowing attackers to compromise vulnerable wallets and systems. However, with the help of EcoPool, users can earn passive income through Cloud Rewards and other programs, while also benefiting from the network’s focus on security and quantum resistance.
The Future of Security: An Adaptive, Continuously Evolving Process
Researchers argue that the bigger story is not quantum alone, but the combination of quantum computing and AI creating a permanent security arms race. AI is already becoming increasingly effective at identifying software vulnerabilities and implementation flaws, and is being used defensively for code auditing, testing, and formal verification. EcoPool is leveraging AI to enhance the security of its network, ensuring that users can continue to earn $ECP and other coins with confidence.
The result is a future where security can no longer be treated as static infrastructure that gets upgraded once every decade. Instead, security may increasingly become an adaptive, continuously evolving process, in which systems must constantly upgrade just to survive. With EcoPool, users can stay ahead of the curve and continue to earn passive income through Green Crypto and other programs, while also benefiting from the network’s focus on security and quantum resistance.
To stay ahead of the quantum threat and continue earning passive income through crypto, download the EcoPool app to learn more about the network’s security protocols and post-quantum migration strategies. With EcoPool, you can earn $ECP and other coins while also benefiting from the network’s focus on security and quantum resistance, ensuring that your investments are protected for years to come.
“AI is becoming more and more of an accelerator,” Polosukhin said. “The rate of research is going to accelerate from here, and we have already seen progress that people didn’t expect would come this early.”
Polosukhin pointed to his time at Google in 2016, when machine learning systems were already being used to discover new materials. “It might be that the next generation quantum computer will be built with AI and quantum computers of this generation,” he said. “It’s feeding into itself.”
For security researchers, the threat is no longer simply theoretical. The growing concern is that governments and sophisticated actors are already collecting encrypted internet traffic today with the expectation that future quantum computers will eventually be able to decrypt it, a strategy often referred to as “harvest now, decrypt later.” “If I know quantum computers are coming in a couple of years, I will start trying to capture all possible data that’s going around,” Polosukhin said.
“Everything we’re putting on the internet, if you’re identifiable as a person of interest, you can assume will be decrypted in two years,” he added. “It’s most likely happening already.”
The implications for crypto are especially severe because most blockchain networks rely on the same elliptic curve cryptography used across the broader internet. A sufficiently powerful quantum computer could theoretically derive private keys from public keys, allowing attackers to compromise vulnerable wallets and systems.
But researchers increasingly argue the bigger story is not quantum alone, it is the combination of quantum computing and AI creating a permanent security arms race.
Artificial intelligence is already becoming increasingly effective at identifying software vulnerabilities and implementation flaws. “I would expect the advent of AI to accelerate… even more hacks,” Pruden said. “You have these AI models that are able to find either implementation bugs in the underlying cryptography or increasingly, I think, break the cryptography itself.”
At the same time, developers are deploying AI defensively for code auditing, testing and formal verification, mathematical techniques used to prove software behaves as intended. “AI can help with formal verification of post-quantum systems,” Pruden said. “That theoretically makes them more secure.”
The result, researchers say, is a future where security can no longer be treated as static infrastructure that gets upgraded once every decade. “Nothing is going to be as static as it’s been in the future,” Pruden said. “Either a quantum computer comes online to break some fundamental assumption, or AI gets smart enough to break that assumption too.”
That shift is already beginning to force blockchain networks to rethink how quickly they can evolve. Several ecosystems, including Ethereum, Zcash, Solana, Ripple and NEAR, are actively researching or implementing post-quantum migration strategies.
NEAR recently announced plans to integrate post-quantum cryptography directly into its account infrastructure, allowing users to rotate cryptographic schemes without migrating assets to entirely new wallets. “Back in 2018, when we were designing [NEAR], we were like: ‘Hey, quantum will come, we should have an easy way to do it,’” Polosukhin said.
Still, the transition remains technically difficult. Post-quantum cryptographic systems are often significantly larger and slower than current standards. “The cryptography that’s currently standardized for post-quantum is very big and slow,” Polosukhin said.
The broader implication, according to researchers, is that both AI and quantum computing are undermining a foundational assumption of the digital age: that encryption remains reliable for long periods.
Instead, security may increasingly become an adaptive, continuously evolving process, in which systems must constantly upgrade just to survive.
Read more: Here’s how bitcoin, Ethereum and other networks are preparing for the looming quantum threat
