Mythos isn’t a niche cybersecurity tool. It’s a general-purpose AI that happens to excel at security tasks. The model can link together low and medium vulnerabilities into critical exploits—something fewer than 1% of pentesters ever manage. If it can handle that level of complexity, it can also draft emails, analyze data, write reports and tackle virtually any knowledge job. In months, open-source models will approach Mythos’s capabilities and cost under $1,000. Companies then face a simple choice: pay Chris from Idaho $84,000 plus benefits for 40 hours of average work, or spend a few hundred dollars on an AI that delivers ten to a thousand times more output, nonstop. That price gap will upend hiring, push roles out of reach for most humans and force businesses to rethink every white-collar function. This shift will be painful at first. Jobs will vanish before new ones appear. But it also creates a chance to move beyond repetitive corporate grind. People could focus on building community, solving human problems and creating value in ways a machine can’t. We need plans now—retraining programs, policy changes, safety nets—to manage the shake-up and steer toward more meaningful work.