Ambitious, Achievable, and Sustainable: A Blueprint for Reclaiming American Research Leadership
Summary
The next Administration should accelerate federal basic and applied research investments over a period of five years to return funding to its historical average as a share of GDP. While this ambitious yet achievable strategy should encompass the entire research portfolio, it should particularly seek to reverse the long-term erosion of collective investments in physical and computer science, mathematics, and engineering to lay the foundation for economic competitiveness deep into the 21st century. This proposal outlines a strategy and series of steps for the federal government to take to reinvigorate U.S. competitiveness by restoring research and development investments.
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.