LIQUID LABOR

The Embodied Productivity Race of the 2020s

My Research Essays on the U.S.–China Contest for the Time Bank of Machines

Chapter III — Inflection Point: The Race to the Time Bank

Axiom 3: The inflection occurs when cost per effective robot-hour ≈ cost per human-hour (adjusted for reliability and uptime).

At this equilibrium, robots cease to be capital goods and become labor itself — liquidity of embodied time.

Cost Crossover Thresholds

When these thresholds are crossed, deployment accelerates non-linearly.

Energy as Constraint

Every embodied hour consumes energy. Scaling robotic labor therefore requires Energy Utilization Capacity (EUC) — the total energy infrastructure capable of powering robot fleets. China generated 10,000 TWh of electricity in 2024, more than the U.S. and EU combined. U.S. grid capacity is tightening; fossil dependence rising. Data centers and AI loads are competing for the same kilowatts. Thus, even if U.S. robotics improves technically, the energy ceiling flattens the curve.

Modeled Trajectories

If sustained, China's embodied productivity doubles every 18 months, the U.S. every 3 years — still fast, but divergent.


Next: Chapter IV — The Generalization of Labor