A National Frontier Tech Public-Private Partnership to Spur Economic Growth
Summary
The United States government needs to radically change our national approach to the commercial growth of frontier tech technology companies (e.g., new energy production and distribution, advanced manufacturing, synthetic biology, materials, robotics, mobility, space exploration, and next-generation semiconductors). Frontier tech startups can advance our nation’s future global competitive advantage, providing an opportunity to create high-tech and low-tech jobs and reshore other jobs. Coupling investment in the frontier tech innovation ecosystem with workforce training will allow the U.S. to reinvent and revitalize aspects of our declining or offshored industrial sectors and rebuild the country’s manufacturing capabilities.
The U.S. government should create a $500M fund and an administration authority that allows relevant government agencies to create public-private partnerships. This requires collaboration with private capital providers that utilizes public funding to incentivize private investment in early stage frontier tech companies. The goal is not to subsidize private investment capital in areas where the current free market system is working, but rather to identify those critical national industrial base areas where private capital is insufficiently investing and use matching grants to spur early stage private investment. This early partnership will allow increased access and collaboration between historically siloed government and venture capital innovation ecosystems. For frontier tech companies, whose growth requires both public and private capital, the U.S. must utilize our resources more efficiently to create a globally competitive future economic base.
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.