Economic inequality is the unequal distribution of income, wealth, resources, or economic opportunities among people or groups. Generative AI may reduce inequality by helping less-experienced workers perform at higher levels, yet increase it when automation removes entry-level work, weakens bargaining power, or concentrates wealth. section 6.10
Generative AI can shape inequality through several competing mechanisms:
- Augmentation can raise the floor by pairing workers with systems that improve their capabilities. section 6.10
- Replacement can shrink entry-level opportunities, making professional pathways harder to enter and potentially reducing wages. section 6.10
- Market incentives may favor substitution over collaboration, weakening workers’ bargaining power and concentrating wealth. section 6.10
The entry-level dilemma
Recent college graduates have faced unemployment above the national average, alongside rising underemployment. The same technology that helps experienced workers can therefore make it harder for newcomers to gain the experience required to enter knowledge professions. section 6.10
The broader economic outcome remains unsettled. Short-term task gains are visible, but effects on wages, employment, and market concentration are contested. The central question is whether deployment emphasizes human–machine collaboration or human substitution. section 6.12 section 10.6
