AI-powered crypto heists show how fast cybercrime is changing

Two massive crypto thefts in April proved that hackers now use artificial intelligence to pick targets and design attacks. The $600 million stolen in weeks wasn’t just another case of lost funds—it showed how AI is making cybercrime cheaper and easier. Unlike past hackers who needed deep technical skills, today’s thieves can rent AI tools that do the heavy lifting. Most crypto losses happen in decentralized finance, where $130 billion rides on automated systems with weak security. Hackers exploited flaws in minutes rather than months, using AI to scan code for weaknesses. Some attacks even tricked people into approving fake transactions, while others drained entire lending platforms. One hack led to $9 billion in withdrawals in two days when investors panicked—not because the company was targeted, but because they feared it might be next.Experts warn that AI tools like Mythos, designed for cybersecurity testing, could soon fall into criminal hands. Even now, AI helps hackers pick targets and plan attacks faster than ever. Some security firms are fighting back with AI-driven defenses, but it’s a constant race to stay ahead. The real problem? Blockchain’s design makes stolen funds nearly impossible to recover. While banks can reverse fraudulent transactions, crypto platforms can’t. This makes crypto a prime target—especially when hackers use AI to hide their tracks across multiple blockchain networks.