Building Thriving Local Economies by Leveraging the Maker Movement to Close the Skills Gap
Summary
The Federal Government should further invest in, support and scale four existing approaches to building local skills and vibrant, self-sufficient local economies by coupling localities’ needs with workforce development and small-scale manufacturing. This is achieved by scaling local programs and initiatives which harness the Maker Movement, a community-driven, grassroots effort to enable people to design, prototype and manufacture projects, solutions and products.
Specifically, the Federal Government should:
- Leverage makerspaces and Fab Labs as local sites for preparing the current and future workforce through real-world maker-centered learning and Employer Validated Training Programs.
- Build the “MakerNet” to connect employers with skilled talent.
- Cultivate makerspaces as engines for small businesses.
- Launch FabCity America to challenge cities to make what they consume.
By harnessing early successes from across the country, these policy solutions can rapidly stand up localized programs to immediately support more American communities grappling with skills shortages. This need is exponentially more critical in the face of COVID-19, as 80% of U.S. manufacturers have articulated that their business will be financially affected by the pandemic and 53% require a change of operations, including the increased use of automation technologies.
AI’s high-stakes outputs directly shape American economic, industrial, and technological outcomes. They must not be accepted entirely on the basis of institutional faith rather than verifiable evidence.
The clearinghouse will also neutrally mediate the assignment of auditors to audits—strengthening independence, trust, and ethical governance across the AI ecosystem.
Soft law was never meant to be a permanent solution. Treating it as one, and letting the sandcastle stand in for the skyscraper indefinitely, is how we end up with a decade of voluntary commitments and no enforceable accountability to show for it.
Jobseekers, employees at smaller organizations, and local public workers need more than a weekend crash course in AI. They need practice choosing useful tasks, protecting data, testing outputs, and explaining where human judgment remains necessary.