IBM Technology's latest video examines the recurring claim that new technology will destroy jobs, tracing this anxiety through waves of industrial change: cars replacing horses, electricity reshaping factories, PCs and the internet transforming work, and now AI. The video argues that while each wave automated specific tasks, none led to sustained mass unemployment.
The core argument distinguishes between task automation and job elimination. Historical examples like ATMs are used to show how efficiency can increase overall demand and create new roles. The video introduces Jevons Paradox—the idea that efficiency improvements can paradoxically increase consumption—and applies it to AI development, suggesting faster software creation may expand rather than shrink the work available.
The hosts conclude that AI removes specific tasks from job bundles rather than eliminating entire jobs, and that workers who learn new tools will find opportunities in roles that don't yet exist, as happened with previous technological shifts.
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