The AI Labor Index
Analyzes AI's influence on employment by assessing task automation potential across various occupations.
About The AI Labor Index
The AI Labor Index monitors how emerging artificial intelligence technologies are transforming the workplace. By mapping specific tasks within occupations and evaluating their automation potential, it provides insights into where machines can outperform humans and where human expertise remains essential. This comprehensive analysis helps stakeholders understand automation trends and workforce resilience.
How to Use
Explore occupations based on their automation likelihood, task complexity, and AI adoption levels. Use filtering options by industry and review detailed lists of occupations. Key metrics include estimated wage effects and automation percentages. Identify roles that are highly automatable or resistant and review AI adoption trends across sectors.
Features
- Rankings of occupations by automation likelihood and AI adoption
- Assessment of task-specific automation potential
- Identification of roles with highest and lowest automability
- Insights into AI adoption trends across industries
- Visual comparison of AI automation potential versus human task complexity
- Extensive database covering 16,038 tasks within 66 occupations
- Economic analysis of automation's impact on wages
Use Cases
- Investors and entrepreneurs can identify emerging market opportunities and risks.
- Businesses can plan automation strategies and optimize team structures.
- Job seekers and professionals can evaluate future career prospects and skill needs.
Best For
Pros
- Provides data-driven insights into automation potential and economic effects.
- Offers detailed understanding of AI's influence on labor markets.
- Useful for diverse stakeholders, including individuals and organizations.
- Breaks down complex jobs into specific, measurable tasks.
- Emphasizes the importance of human skills like judgment and creativity.
- Highlights roles that are highly automatable or resilient to automation.
Cons
- Labeled as an experimental dataset with certain limitations.
- Analysis focuses on 66 occupations, not covering the entire labor market.