Here's an interesting economic angle: as AI increasingly displaces high-value knowledge work, we might actually see an extended period where traditional labor markets still operate in parallel. Think about it—before automation becomes cheap and ubiquitous enough to truly scale, there's likely a substantial window where cheaper human labor remains the more cost-effective option compared to deploying advanced AI infrastructure. This creates a peculiar market dynamic: jobs get hollowed out at the top, but wage pressure persists at the bottom due to basic economics. The transition timeline matters more than the end state. Whether you're thinking about this from a macro policy angle or personal risk management perspective, the window between technological capability and economic scalability is where the real disruption happens. Markets tend to follow cost curves, not innovation calendars.