HEAVY COPE
Sophisticated productivity-maximisation cope wrapped in empirical language. The Anthropic economist confidently projects 1.8% annual labor productivity gains from AI while insisting 'no material impact yet' on employment, treating visible cracks (weaker hiring for young exposed workers) as merely 'suggestive' noise. The entire conversation treats AI's labor effects as a transition to be managed via 'good macroeconomic policy,' not a structural termination of labor demand. Demographics and immigration are casually blamed for labor force stagnation, while the podcast host observes the economy 'isn't creating any jobs' right before pivoting to optimistic productivity projections—a disconnect that goes entirely unexamined. The augmentation/complementarity framing dominates, with zero discussion of who captures the productivity gains (rentier dynamics) or aggregate demand destruction.