Anti-technology. The problem is not AI or compute but rather who controls it, under what accountability structures, and with what governance. Publicly governed AI infrastructure at scale is among the most powerful tools available for addressing climate change, disease, poverty, and democratic dysfunction.

Anti-innovation. The progressive threshold structure of the CCCS is specifically designed not to impede research and development at small and medium scale. The target is sovereignty-threatening accumulation, not entrepreneurship.

A call for state ownership. Government control of AI infrastructure is not the goal, and in many states would represent a threat rather than a remedy. The Compute Commons is a multi-stakeholder institution governed by the Harm Proximity Principle, not a nationalization program. State actors are participants in governance, not owners.

A US-centric project. The concentration of AI infrastructure in the United States is a structural fact, not a reason to conduct this analysis from a US perspective. The project is explicitly international, with Global South communities holding structural governance priority.

Utopian. The contribution standards, border adjustment, multi-stakeholder governance bodies, algorithmic composition maintenance and other mechanisms proposed here, all have functional precedents in existing international frameworks. We are committed to institutional design within the realm of the achievable.