AI and Labor, Economy, and Inequality

AI reshapes employment, productivity, and the distribution of gains. This sub-article expands Section 3.1 of Philosophy.

Automation and Employment

• AI affects manufacturing, clerical, creative, and knowledge work.
• Some tasks are automated; others are augmented; new roles emerge (prompt engineering, data annotation, model stewardship).

Productivity and Inequality

• Gains concentrate in firms and individuals with access to compute and data.
• Skills and capital gaps may widen inequality.
• Policy debates: universal basic income, reskilling, and taxation of automation.

New Professions

• Data annotation, AI ethics, interpretability, and governance roles grow.
• The labor market shifts from production to oversight and curation.

Why It Matters

The distribution of AI’s benefits is a social choice, not a technical inevitability.

Sources

• Acemoglu, D. & Restrepo, P. (2020). Robots and Jobs.
• Brynjolfsson, E. & McAfee, A. (2014). The Second Machine Age.

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