AI in Education
Education is upstream of workforce policy. Treat it that way.
The cleanest way to fail at AI workforce transition is to start at the workforce. The earlier intervention is educational.
A surprising amount of AI workforce policy is really deferred education policy. If education systems had already been designed to produce people who can work with, audit, and redesign intelligent systems, the workforce transition would not feel like a shock.
The framing problem
Most AI-in-education debate still centres on tools. The interesting question is whether the curriculum is still calibrated to the labour market it was originally designed for.
About the author
Qiqing He works at the intersection of artificial intelligence, workforce transformation, education, and public-interest institutions, translating technical change into institutional readiness.