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AI Job Exposure Site

A static two-page site built from the mariodian/jobs repository's filters branch dataset.

What is included

  • index.html - the main bilingual public-facing report
  • distribution.html - the employment-weighted distribution dashboard
  • assets/favicon.svg - a lightweight favicon
  • assets/og-preview.png - preview image placeholder for social sharing
  • _headers - basic security and cache headers for Cloudflare Pages
  • _redirects - convenience redirects
  • robots.txt
  • 404.html

Data provenance

This project is based on the following public sources:

Key numbers used in the site

These figures were taken from the repo data and then summarized for the site:

  • 342 occupations in the source list
  • 341 occupations used in employment-weighted calculations
  • 143.1M jobs in the weighted base
  • Simple average AI exposure: 5.3
  • Employment-weighted average AI exposure: 4.9
  • High exposure (8-10): 25.21M jobs, 17.6%
  • Middle zone (3-7): 87.92M jobs, 61.5%
  • Low exposure (0-2): 29.94M jobs, 20.9%

Deploy to GitHub and Cloudflare Pages

1. Create a new GitHub repository

Create a new repository in your GitHub account, for example ai-job-exposure-site.

2. Upload the project

git init
git branch -M main
git add .
git commit -m "Initial static site"
git remote add origin https://github.com/<YOUR_USERNAME>/ai-job-exposure-site.git
git push -u origin main

3. Deploy on Cloudflare Pages

In Cloudflare Pages:

  • Create a new project
  • Connect the GitHub repository
  • Framework preset: None
  • Build command: leave empty
  • Build output directory: /

Because this is a static site, no build step is required.

Recommended post-deploy edits

After the site is live, update the following:

  • index.html
    • Set a canonical URL
    • Replace relative og:image with an absolute URL on your deployed domain
    • Optionally add your preferred analytics snippet
  • Footer copy
    • Add your domain or profile link
  • robots.txt
    • Add your final sitemap URL if you generate one later

Notes

This site is interpretive, not an official forecast. It is best treated as a public explanatory layer over the repo's scoring framework.

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