Index Dashboard
The AI Labor Market Impact Index ranges from -100 (severe job displacement) to +100 (strong job creation). It combines data from multiple sources including academic research, employment statistics, job postings, and news events to provide a comprehensive view of AI's workforce impact.
Methodology
The AI Labor Market Impact Index measures the impact of artificial intelligence on employment across different industries and occupations. The index ranges from -100 (severe job displacement) to +100 (strong job creation). It combines multiple data sources to provide a comprehensive view of AI's current and emerging impact on the labor market.
News Events (35%)
Analysis of news articles about AI-related workforce changes, including layoffs, hiring initiatives, and restructuring. Each event is scored based on its impact (positive or negative) and weighted by its AI-relevance and scale.
Data Processing: News articles are collected weekly from technology and business publications. Each article undergoes sentiment analysis to classify event types (hiring, layoff, restructuring), determine AI relation level (direct, indirect, none), and estimate impact magnitude. Events are weighted by company size, AI relation strength, and recency.
Employment Statistics (30%)
Analysis of official employment data from the Bureau of Labor Statistics, focusing on industries most affected by AI. Changes in employment levels are weighted based on the industry's relevance to AI adoption.
Data Processing: Monthly employment data from the BLS Current Employment Statistics survey is analyzed across all major industry classifications. Industries are weighted based on their AI adoption rates and technological transformation potential. The component uses time-series analysis to isolate AI-related changes from seasonal variations and broader economic factors.
Job Trends (25%)
Analysis of AI impact on occupations using Anthropic's Economic Index, measuring both automation potential (task replacement) and augmentation capability (human-AI collaboration enhancement). This component evaluates task-level impacts across occupations.
Data Processing: The Anthropic Economic Index analyzes 800+ occupations through a task-level framework that evaluates each task's susceptibility to automation versus potential for augmentation. These scores are updated monthly based on advances in AI capabilities and changing job requirements.
Academic Research (10%)
Analysis of academic papers about AI and labor markets. This component captures expert consensus on AI's workforce impacts from research publications. Papers are analyzed for sentiment and key findings.
Data Processing: Research papers are collected weekly from ArXiv and other academic repositories using targeted queries related to AI and labor markets. Papers undergo automated content analysis to extract predictions, methodologies, and sentiment regarding AI's workforce impact.
Data Sources
- News API web scraping of company announcements and news articles
- ArXiv API for academic research papers
- Bureau of Labor Statistics (BLS) API for employment data
- Anthropic Economic Index for occupation-level AI impact analysis
Visualization Approach
The dashboard visualizes component data through multiple perspectives:
- Automation vs. augmentation analysis showing the dual-nature of AI's impact on roles
- Industry impact scores highlighting sector-level variations in AI effects
- Component contribution charts showing how different data sources affect the overall index
- Historical trending to track the evolution of AI's labor market impact over time
Index Interpretation Guide
Methodology last updated: April 2025