CONCEPT
The Productivity Treadmill
The AI-era extension of the hedonic treadmill: productivity gains that were euphoric the first time become the new baseline by the tenth, and the wanting system recalibrates its expectations upward. The builder runs faster; the scenery remains the same; the dissatisfaction that propels the next cycle is the wanting system's signal that the current rate of output is insufficient.
The productivity treadmill is the Berridge volume's extension of Brickman and Campbell's hedonic-adaptation framework to AI-augmented work. The mechanism is identical: the hedonic system adapts rapidly to improvements, returning to baseline once a new capability has been absorbed, while the wanting system escalates — the same output that produced hedonic satisfaction last month produces only baseline this month, and producing more becomes the requirement for maintaining the same motivational state. The asymmetry between rapid hedonic adaptation and persistent (or escalating) wanting is what converts productivity gains into burnout. The Berkeley study documented the empirical pattern: workers who adopted AI tools produced more, expanded scope, and were more burned out rather than less. The productivity treadmill explains why. The hedonic system's absorption of each productivity improvement leaves the wanting system recalibrated to expect more, and "more" has no