When a Waymo car gets into an accident, the whole fleet goes on trial. Every self-driving car is suddenly suspect. Every algorithm gets questioned. The incident becomes a referendum on whether autonomous vehicles should exist at all.
When a human driver causes an accident — and tens of thousands do, every day — it’s that person’s fault. Not humanity’s. Not the auto industry’s. Not every other driver on the road. Just that one individual who made a mistake, had a bad day, or was distracted for a moment.
Think about what that actually means. If autonomous vehicles caused one accident for every thousand human accidents, they’d still be considered the dangerous ones. The math doesn’t matter. The optics do. And the optics are that Waymo is a single entity — a company, a system, a hive — while humans are individuals. We extend grace to individuals. We don’t extend it to corporations or machines.
This isn’t entirely irrational. It’s just the way human psychology works. We’ve always judged collective systems more harshly than individuals. We expect institutions to be perfect in a way we’d never expect of a person. And when they’re not, we feel betrayed.
But here’s what this means going forward: this same dynamic is going to follow AI everywhere. Every AI-generated mistake will be treated as evidence of a systemic flaw. Every autonomous system that fails will trigger calls to slow down, roll back, reconsider. The human equivalent — which happens far more often and far more severely — will keep being absorbed as normal, expected, just the cost of being alive.
It’s not fair. It’s also not going away. Anyone building or deploying autonomous systems needs to understand this. The bar isn’t “better than humans.” The bar is “nearly perfect, all the time, with no exceptions.” That’s a hard bar. But it’s the real one.