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Build public-interest compute access through NAIRR, national labs, secure data enclaves, competitive cloud credits, and audited allocation rules.
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AI-researched, unverifiedLast Reviewed
Jul 6, 2026
Cited Sources
5
What is failing, what we would change, and the conclusion we are willing to defend.
Compute is now research infrastructure. A university lab, small firm, safety researcher, weather scientist, biology group, teacher-training program, or state agency can have a good idea and still be locked out by the cost of advanced computing, data access, and technical support. If only hyperscalers and a few elite institutions can afford the tools, the country's innovation map narrows.
The Innovation Party should build a public compute commons without creating one federal AI cloud. The right model is a federated system: NAIRR, DOE supercomputing facilities, national labs, universities, secure data enclaves, public datasets, competitive cloud credits, and clear allocation rules.
Convert NAIRR from pilot infrastructure into sustained national capability with audited allocations, user support, education pathways, and public reporting.
Buy compute access competitively across cloud providers, national labs, universities, and specialized hardware rather than locking public research into one vendor.
Reserve capacity for public-interest uses: AI safety, health, weather, energy, education, accessibility, small-business prototyping, and state and local public services.
Build secure data enclaves for sensitive research, with tiered access, privacy controls, cybersecurity review, and logging.
Require federally funded datasets and models to use portability, documentation, and low egress barriers where privacy and security allow.
Publish allocation criteria, denial reasons, utilization, outcomes, energy footprint, and conflict-of-interest rules.
Public compute should expand the number of people who can build and test frontier tools. It should not become a hidden subsidy, a dual-use loophole, or a new source of data-center cost shifting.
Turn frustration into useful pressure.
If this position misses evidence or a lived consequence, challenge it. If it holds up, help test it locally and connect it to the issues around it.