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

4 what-if scenarios · 20 Manitoba industries

How does AI risk change depending on what you do next?

Pick a scenario to see how risk levels shift across Manitoba's industries — whether AI arrives fast, slow, or your business gets ahead of it now.

4of 20 industries are at higher risk today — explore how each scenario changes that number

Scenario · Where things stand

Current estimated AI disruption risk for each Manitoba industry, based on published research.

This is the starting point. Scores reflect how automatable the jobs are in each industry, how much AI is already being used, and how quickly businesses in that sector are adopting new tools.

Higher risk
4
Moderate risk
15
Lower risk
1
Risk level shifts
All 20 Manitoba sectors ranked by estimated AI disruption risk under the Where things stand scenario.
RankIndustryRisk scoreRisk level
1Information
72
High
2Administrative Support
70
High
3Professional Services
69
High
4Finance & Insurance
68
High
5Retail Trade
63
Medium
6Wholesale Trade
61
Medium
7Arts & Entertainment
56
Medium
8Manufacturing
55
Medium
9Corporate Management
55
Medium
10Utilities
51
Medium
11Transportation
49
Medium
12Public Administration
47
Medium
13Education
45
Medium
14Real Estate
44
Medium
15Agriculture
42
Medium
16Accommodation & Food
41
Medium
17Mining & Oil
38
Medium
18Health Care
36
Medium
19Other Services
35
Medium
20Construction
28
Low

Scenario scores are illustrative projections derived from the 2024 baseline using the methodology described in the About & Methodology page. They are not forecasts. Rows highlighted in amber indicate sectors where the scenario changes the risk tier.

What each scenario assumes

Where things stand

The starting point. Scores are based on how automatable the jobs are in each industry, how much AI is already being used, and how quickly businesses in that sector are adopting new tools.

AI spreads quickly

Industries with little AI use today get a higher risk score — because fast change would leave less time to prepare. The further behind a sector is, the bigger the increase.

Already using AI

Risk scores drop by about 30% for businesses actively using AI. Getting started early pays off — you're building skills and adapting before disruption forces your hand.

Not started yet

Risk scores rise by about 10% for businesses not yet exploring AI tools. This reflects the extra pressure of having to catch up quickly once change is already underway.