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The article questions the contradiction between policies expanding work requirements for basic support while accelerating AI automation that could reduce human labor, asking for a transition plan to an AI-driven economy.
A tweet discussing the potential class divide between those who earn from labor and those who earn from machines automating labor.
Dave Shapira argues that economists' assumption of a persistent human advantage over machines is wrong, referencing a WSJ piece on AI's diverging impact on labor markets.
A new MIT-led study analyzes historical U.S. employment data to understand how technological advances create new jobs, finding that new work disproportionately goes to young, college-educated workers in urban areas. The research raises questions about whether AI will follow the same pattern or disrupt it differently.
The article questions whether AI-driven automation can sustain economic growth despite declining global populations, suggesting it might reduce the need for human labor and immigration while supporting public services through increased corporate taxation.
An MIT study reveals that firms often use automation to replace workers with wage premiums rather than to maximize productivity, significantly contributing to income inequality and limiting overall economic growth.