IMF-第二代人工智能：人工智能与未来工作（英）-2024.1-42页_3mb
报告摘要
- Introduction: AI introduces productivity gains but also risks job displacement and societal inequality; impacts vary by job and country.
- AI Exposure: 40% global employment exposed to AI, with advanced economies at highest risk due to cognitive-task jobs (60% occupied).
- Worker Reallocation: College-educated and younger workers adapt better to AI-driven shifts, while older workers struggle with reemployment.
- Income and Inequality: AI affects all income levels but intensifies inequality bidirectional—income and wealth—through capital deepening and productivity gains.
- Productivity Gains: Strong AI complementarity and productivity could boost national income by ~16% under a "high productivity" scenario.
- AI Preparedness Index: Measures digital infrastructure, human capital, innovation, and regulation; index indicates developed countries better positioned.
- Policy Considerations: Support education, social safety nets, regulatory frameworks, and international cooperation to mitigate risks and promote inclusive AI integration.
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