data-visualization labor-market-analysis developer-tools ai-exposure

US Job Market Visualizer

karpathy.ai

March 16, 2026

1 min read

🔥🔥🔥🔥🔥

67/100

Summary

The US Job Market Visualizer on GitHub visualizes 342 occupations from the Bureau of Labor Statistics, representing 143 million jobs in the US economy. Each rectangle's area corresponds to total employment, with color coding for metrics such as projected growth outlook, median pay, education requirements, and AI exposure.

Key Takeaways

The US Job Market Visualizer is a tool that visualizes 342 occupations and their employment data from the Bureau of Labor Statistics, covering 143 million jobs in the US economy.
The tool allows users to toggle between metrics such as projected growth outlook, median pay, education requirements, and AI exposure, with each occupation represented by a rectangle proportional to its total employment.
The source code includes components for scoring and coloring occupations based on custom LLM prompts, allowing for analysis of various factors like AI exposure and other economic risks.
The Digital AI Exposure scores generated by the tool are rough estimates and do not predict job loss, as they do not consider factors like demand elasticity or regulatory barriers.

Read original article

View story →

Coverage & discussions

Hacker News · karpathy.ai

US Job Market Visualizer ↗

Community discussions

Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Community Sentiment

Mixed

Positives

AI's ability to produce valuable outcomes is seen as a significant advantage for those who can discern merit, suggesting a shift in how we evaluate information sources.
The ongoing advancement of AI indicates a transformative impact on the job market, suggesting that adaptation and evolution in work roles will be necessary.

Concerns

Concerns about the distribution of AI-generated surpluses highlight potential inequalities in how benefits are realized across different sectors and job roles.
The reliability of growth projections from BLS is questioned, indicating skepticism about the ability of traditional metrics to capture the rapid changes brought by AI.