AI Job Exposure Map
Explore how AI impacts 342 US occupations. Each rectangle is sized by employment count and colored by AI exposure score. HoverTap any occupation for details.
How to Read This Map
Treemap View
- Rectangle size = number of jobs in that occupation
- Color = AI exposure score (green = low, red/orange = high)
- Grouped by BLS occupation category
- Select any rectangle for detailed stats
Exposure vs Outlook View
- Columns = AI exposure score (0–10, left to right)
- Column width = total jobs at that exposure level
- Color = job growth outlook (red = declining, green = growing)
- Height = employment count within that column
Key Insights for Canadian Businesses
High-exposure doesn't mean high-risk
Many high-exposure occupations like software developers and financial analysts are growing, not shrinking. AI augments these roles rather than replacing them. The key is whether AI handles the entire job or just parts of it.
Education doesn't protect you
Bachelor's and master's degree holders actually have higher average AI exposure than workers without degrees. Knowledge work — writing, analysis, coding — is more exposed than physical trades.
The opportunity is in transformation
Canadian businesses that proactively retrain their workforce and integrate AI into high-exposure roles will outperform those that wait. The data shows which roles to prioritize.
Frequently Asked Questions
What does "AI exposure" mean for a job?
AI exposure measures how much an occupation's core tasks can be performed or significantly assisted by current AI technology. A score of 10/10 means nearly all tasks are susceptible to AI automation or augmentation, while 0/10 means the job relies on physical, creative, or interpersonal skills that AI cannot yet replicate.
Where does the data come from?
The occupation data (employment numbers, median pay, education requirements, and growth outlook) comes from the US Bureau of Labor Statistics (BLS) Occupational Outlook Handbook. AI exposure scores were generated by analyzing each occupation's task descriptions using Gemini Flash, a large language model.
Does high AI exposure mean a job will disappear?
Not necessarily. High AI exposure means many of the job's tasks can be assisted or automated by AI, but this often leads to job transformation rather than elimination. Workers in high-exposure roles may shift toward oversight, strategy, and tasks that require human judgment, creativity, or interpersonal skills.
How is this relevant to Canadian businesses?
While the data covers US occupations, the same roles exist across Canada with very similar AI exposure profiles. Canadian businesses can use this tool to understand which roles in their organization are most likely to be affected by AI and plan their workforce strategy accordingly.
What do the two views show?
The Treemap view shows occupations as rectangles sized by employment count and colored by AI exposure score. The "Exposure vs Outlook" view reorganizes the data into columns by exposure score, with each occupation colored by its growth outlook — helping you spot which high-exposure jobs are still growing vs declining.
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