Dataleo Insight · 2026-07-10· Industrial AI Policy
Industrial AI programmes should count changed decisions, not participating companies
Public AI-adoption programmes should measure durable workflow change rather than funded pilots or installed tools.
Taiwan’s expanded AI-adoption target illustrates a recurring measurement problem in industrial policy: participation counts do not prove operational impact.
The affected decision is which production, planning, inventory or supplier workflows receive support. Value requires measurable adoption inside recurring decisions with named ownership.
The principal failure mode is thousands of funded pilots that never alter how industrial work is performed.