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.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.