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Work in progress. Exploratory tool — scores are modelled estimates from published academic data, not predictions or professional advice. Methodology & limitations →Last updated: April 2026

Task-sector matrix · 8 task types · 20 sectors

Task Vulnerability Heatmap

An employment-weighted matrix showing where AI disruption concentrates across eight task categories and twenty Manitoba industry sectors.

4high-exposure intersections across the matrix

What you're looking at

Each cell shows the average AI disruption score for occupations in a given industry that perform a given type of task. Scores run 0–100. Higher means more exposed to AI disruption.

How scores are weighted

Scores are weighted by employment — occupations with more Manitoba workers pull the cell score more than smaller ones. A dash means no occupations in that combination were found in the data.

What to do with it

Click any cell to see which occupations are driving that score. Columns are sorted by overall sector risk, highest on the left. The coloured dot above each column shows that sector's overall risk level.

Information
Administrative Support
Professional Services
Finance & Insurance
Retail Trade
Wholesale Trade
Arts & Entertainment
Manufacturing
Corporate Management
Utilities
Transportation
Public Administration
Education
Real Estate
Agriculture
Accommodation & Food
Mining & Oil
Health Care
Other Services
Construction
Data Processing
Content Creation
Customer Service
Physical / Manual
Decision Making
Creative Design
Coordination
Technical Analysis
Score scale:
No data
0–20
20–40
40–60
60–80
80–100