Metatrends

Prior disruptions were sectoral. AI is not. Large language models, multimodal reasoning systems, and humanoid robots are not displacing one type of work — they are displacing all types of work, and the economic value of human time itself, across every sector, simultaneously.

There is no adjacent labor category to retrain into. The escalator that carried workers from disrupted industries to new ones for two centuries has no destination… it is crumbling.

The closest historical precedent for government-managed mass transition is the GI Bill of 1944, which successfully reintegrated 16 million returning soldiers into the civilian economy through education subsidies, low-interest home loans, and direct income support. Unemployment among veterans peaked at 3%, remarkably low. But that transition had a crucial advantage: the displaced workers had a destination. They retrained for real jobs in a postwar manufacturing boom that absorbed them. Today’s AI displacement has no comparable absorptive sector. The GI Bill worked because it was a bridge to something. The UBI framework must work even when there is no bridge, when the income support is not transitional but structural.

What follows is my vision of what comes next. It has three phases. My argument is not that disruption can be avoided. It is that the transition can be navigated, if the right mechanisms are built in the right sequence.