Analysis of past technological shifts, like the decline in agricultural labor and the invention of spreadsheets, shows that disruption typically creates new job categories and diversifies the labor market. Productivity gains lead to entirely new services and roles, rather than simply causing mass unemployment.

History shows widespread job losses from new technology don't happen immediately during innovation booms. Instead, the economic pressure of a recession or market bust acts as the catalyst, forcing companies to implement efficiencies and eliminate roles made redundant by technology that was adopted earlier.

Despite predictions of mass unemployment from tech leaders, the actual economic data shows the opposite. U.S. unemployment is below historical averages, and new business creation has doubled in the last decade. The predicted 'exogenous meteor coming for the employment market' is not reflected in reality.

Pessimism about AI-driven job losses overlooks historical precedent. The transition from an agricultural to an industrial economy caused massive job displacement but ultimately created far more new jobs. Similarly, AI will likely generate new, currently unimaginable roles and industries.

Fears of mass unemployment from AI overlook a key economic principle: human desire is not fixed. As technology makes existing goods and services cheaper, humans invent new things to want. The Industrial Revolution didn't end work; it just created new kinds of jobs to satisfy new desires.

The panic-inducing Citrini paper, which caused a market sell-off, assumes a static economy where AI only destroys jobs. It completely ignores historical precedents where new efficiencies unlock unforeseen demand and create entirely new industries, a concept similar to the Jevons paradox.

Initial data from industries with high AI exposure shows productivity gains are driven by increased output, not reduced labor hours. This counters the common narrative that AI's primary effect will be immediate, widespread job displacement, suggesting a period of augmentation precedes automation.

Even if AI triples productivity growth, the resulting job churn would only equal that of 1870-1930. That period is historically remembered as one of vast opportunity and creation of new industries, suggesting fears of a jobless future are misplaced.

The period that introduced computers and plastics experienced significantly higher job churn than the Industrial Revolution. Yet, it's retrospectively seen as a prosperous era for labor. This historical example challenges the modern assumption that high levels of technological disruption are inherently and immediately negative for the workforce as a whole.