A simplistic view of AI replacing tasks is misleading. A more robust model treats the outcome as a race between three competing forces: the speed of AI diffusion versus labor rebalancing, task destruction versus new task creation, and lost labor income versus indirect wealth effects from capital gains.
Beyond obvious metrics like layoffs and unemployment rates, a critical indicator of negative AI impact is a rise in underemployment. This occurs when the labor market reallocates displaced workers into roles that do not match their skill levels, signaling a structural mismatch and economic friction.
For Japan, AI aims to solve a labor shortage, not replace workers. However, the country's rigid lifetime employment system could prevent necessary workforce adaptation. Without flexibility, productivity gains from AI could paradoxically lead to job losses, wage deflation, and price deflation rather than growth.
While AI tools see rapid user penetration, their true economic diffusion—the reshaping of production processes—is a much slower, 10-to-12-year process. This distinction is critical, as it provides a flexible economy like the U.S. sufficient time to rebalance its labor market without catastrophic, large-scale layoffs.