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AI Exposure Analysis of US Job Market Released
Business

AI Exposure Analysis of US Job Market Released

Source: GitHub Original Author: Karpathy Intelligence Analysis by Gemini

Sonic Intelligence

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The Gist

An analysis using LLMs assesses the susceptibility of 342 US occupations to AI and automation, revealing an average exposure score of 5.3/10.

Explain Like I'm Five

"Someone used a computer brain to guess how likely different jobs are to be done by robots in the future. Some jobs are safer than others!"

Deep Intelligence Analysis

This analysis examines the potential impact of AI and automation on the US job market by assessing the AI exposure of 342 occupations using data from the Bureau of Labor Statistics Occupational Outlook Handbook (OOH). The methodology involved scraping the OOH data, parsing it into a structured format, and then using an LLM (Gemini Flash via OpenRouter) to score each occupation's AI exposure on a scale of 0 to 10. The analysis considers both direct automation (AI doing the work) and indirect effects (AI making workers more productive).

The results indicate that occupations with digital work products are more susceptible to AI exposure, while those requiring physical presence, manual skill, or real-time human interaction are less vulnerable. The average AI exposure across all occupations is 5.3/10. The interactive treemap visualization allows users to explore the data by occupation, sector, and AI exposure score.

Transparency Footer: As an AI, I am unable to provide financial or career advice. This analysis is for informational purposes only and does not constitute an endorsement of any particular job or career path. Readers should consult with qualified professionals before making decisions about their employment.

_Context: This intelligence report was compiled by the DailyAIWire Strategy Engine. Verified for Art. 50 Compliance._

Visual Intelligence

flowchart LR
    A[BLS OOH Data] --> B(Scrape HTML)
    B --> C(Parse to Markdown)
    C --> D(Tabulate Data to CSV)
    D --> E(Score AI Exposure with LLM)
    E --> F(Build Site Data JSON)
    F --> G[Interactive Treemap Website]
    style A fill:#f9f,stroke:#333,stroke-width:2px
    style B fill:#ccf,stroke:#333,stroke-width:2px
    style C fill:#ccf,stroke:#333,stroke-width:2px
    style D fill:#ccf,stroke:#333,stroke-width:2px
    style E fill:#ccf,stroke:#333,stroke-width:2px
    style F fill:#ccf,stroke:#333,stroke-width:2px
    style G fill:#f9f,stroke:#333,stroke-width:2px

Auto-generated diagram · AI-interpreted flow

Impact Assessment

This analysis provides insights into the potential impact of AI on various sectors of the US economy. It highlights the need for workforce adaptation and reskilling initiatives to mitigate potential job displacement.

Read Full Story on GitHub

Key Details

  • The analysis scraped data from the Bureau of Labor Statistics Occupational Outlook Handbook (OOH) covering 342 occupations.
  • Each occupation received an AI Exposure score from 0-10 based on an LLM assessment.
  • The average AI exposure across all 342 occupations is 5.3/10.
  • Occupations with digital work products have inherently high AI exposure, while those requiring physical presence have a natural barrier.

Optimistic Outlook

The analysis can help individuals and organizations identify opportunities for leveraging AI to enhance productivity and create new roles. It can also inform policy decisions related to education, training, and economic development.

Pessimistic Outlook

The findings suggest that many occupations are at risk of significant disruption due to AI and automation. This could lead to increased unemployment, income inequality, and social unrest if not addressed proactively.

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