Forcing businesses to pay a mandated high wage for a low-value job creates a powerful incentive to automate that role, especially with the rise of AI. A better approach is bottom-up regulation that fosters a competitive labor market, forcing companies to increase wages naturally to attract talent.

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.

Instead of fearing job loss, focus on skills in industries with elastic demand. When AI makes workers 10x more productive in these fields (e.g., software), the market will demand 100x more output, increasing the need for skilled humans who can leverage AI.

A counterintuitive effect of AI could be alleviating "cost disease" in sectors like childcare. By automating high-productivity white-collar jobs, AI might create a new labor supply of skilled workers who then move into less-scalable, in-person service roles, stabilizing labor costs in those fields.

The fear that AI will replace all jobs ignores history. Technology has consistently eliminated drudgery (e.g., manual farming, factory work) while creating new, unpredictable industries that cater to newly created human wants. AI will accelerate this process, allowing people to focus on more creative and interpersonal pursuits.

Contrary to fears of whiplash, a fast and decisive technological shift like AI will likely lead to quicker labor market adjustments. Slower transitions cause people to cling to disappearing jobs, slowing adaptation, whereas a rapid change forces a quicker reallocation of labor.

Past technological shifts occurred over decades, allowing labor markets to gradually adjust. AI's disruption is happening over years, a speed that historical models can't account for. This compressed timeline means new jobs and retraining won't happen fast enough, demanding immediate policy interventions like expanded capital ownership.

The fear of AI-driven mass unemployment is a classic economic fallacy. Like past technologies, AI is a tool that raises the marginal productivity of individual workers. More productive workers don't work less; they take on more ambitious projects and create new kinds of jobs, increasing the overall demand for labor.

Industries with fixed demand (accounting) will see job losses as AI handles the necessary workload. Sectors with expandable demand (software engineering) may absorb AI's productivity gains by creating vastly more output, thus preserving jobs for a longer period.