U.S. and China Must Address AI Damage Now, Not Future Threats

Problem-solution framing that prioritizes present-tense harm mitigation over precautionary future-focused approaches; creates false dichotomy between addressing current vs. future AI risks

Suggests potential shift from zero-sum AI competition toward pragmatic damage-control cooperation. However, underlying US-China strategic rivalry persists. China's AI advancement threatens US technological dominance, while US seeks to constrain Chinese capabilities—making joint mitigation efforts difficult despite mutual interest in managing AI harms.

Similar to Cold War arms control agreements (SALT, ABM Treaty) where adversaries negotiated limits despite fundamental competition, recognizing mutual vulnerability.

Consumers likely already experiencing job displacement, wage pressure, and service disruptions from current AI deployment; mitigation focus may stabilize but not reverse existing harms to household incomes and employment security.

Suggests shift toward damage-control policies (retraining programs, social safety nets, labor protections) rather than preventive regulation; may prompt bilateral US-China agreements on AI accountability and worker compensation frameworks.