A National Bioeconomy Manufacturing and Innovation Initiative
Summary
The COVID-19 pandemic has devastated the world. In the same year, record fires, hurricanes, and weather wreaked havoc on the United States. These disasters have had devastating economic effects on American lives. To combat COVID-19, foster economic recovery, and address climate change, the United States should implement a National Bioeconomy Manufacturing and Innovation Initiative. The U.S. bioeconomy is composed of healthcare, agriculture, and life-science companies and contributes an estimated 2% of the U.S. GDP. This figure is expected to rise in the coming decade. The bioeconomy also contributes to addressing climate change by reducing U.S. dependence on petroleum-based products and creates American jobs through a growing biomanufacturing sector. Biomanufacturing is the production of products via biological and biosynthetic mechanisms, such as fermentation-based production of industrial ethanol. To fully realize the potential of the bioeconomy, the United States must invest in cross-cutting research and development (R&D) across the areas of healthcare, food & agriculture, energy, environment, and industrial applications. The pillars of this “National Bioeconomy Manufacturing and Innovation Initiative” should focus on (1) cutting-edge R&D, (2) development of fundamental and publicly available tools, and (3) biomanufacturing. The initiative should be coordinated out of the Executive Office of the President via a National Bioeconomy Coordination Office. The initiative should be supported by senior leadership positions at each federal agency with equities in the U.S. bioeconomy, as well as by appropriated funding.
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.