The standard automation debate asks whether AI destroys work. The better question is what happens to demand when production costs collapse — and why six distinct elasticity effects already point toward more human work, not less.
Sixty-one percent of executives trust AI for complex decisions. Nine percent of workers do. That 52-point gap is a leadership problem, not a technology problem.
Individual AI productivity is climbing 2-3x. Investment is doubling year over year. Institutional value is barely moving. The mid-market squeeze, the three breakdown layers, and what institutional AI architecture actually requires that no vendor will sell you.
Foundation models are converging on parity. The moat isn't the model — it's the proprietary context only your organization has. A playbook for building the small living library that turns generic AI into useful AI.
A provocative scenario from CitriniResearch asks whether AI could destabilize the economy not through failure, but through success. We analyze the thesis, the counterarguments, and what history tells us about transitions of this magnitude.