Five architects of the AI economy explain where the wheels are coming off

At the Milken Global Conference, AI leaders said the boom is running into hard limits in chips, data, and energy.

Chip supply remains tight, with demand for advanced tooling and compute still outpacing capacity.

Training data for physical AI is especially scarce, pushing companies toward synthetic data and other workarounds.

Rising power needs are driving interest in more efficient integrated systems and even data centers in space.