Seven questions, seven charts
The core findings of the Canadian AI Exposure Map, one question at a time. Each card states the answer in one line and shows the chart behind it.
Which Canadian jobs face the highest AI substitution risk?
Data entry (67.1% observed task coverage), customer service (70.1%), and routine finance and admin work; StatCan puts 31% of workers, about 4.2 million people, in high-exposure jobs where AI competes rather than assists.
Are electricians at risk from AI?
Low direct risk: a 13% risk score, about 18% of tasks impacted by 2038 and mostly as augmentation, and employment projected to grow 9% as AI data centers demand more electricity. Watch conventional automation, not generative AI.
Is AI replacing or assisting workers?
Mostly assisting: 57% of Claude work interactions augment the worker, and only about 6% of AI-adopting Canadian firms reduced employment because of AI.
Where in Canada is exposure highest?
Toronto (54) and Montreal (53) top Indeed's metro index; resource metros in the Prairies and interior B.C. score lowest (44 to 45).
Are young workers losing access to career ladders?
In coding jobs, employment of workers under 30 stagnated after November 2022 while workers aged 30 to 49 kept growing.
What training actually helps?
Job-specific AI fluency learned on the job, plus judgement, relationship, and licensed skills; the Future Skills Centre's IVADO program trained more than 3,000 workers exactly this way.
What data is still missing?
No Canada cut of Anthropic's Economic Index exists; there is no public NOC-to-O*NET crosswalk; and the Labour Force Survey does not ask workers about AI use on the job.
- No Canada cut of Anthropic's Economic Index has ever been published.
- No public crosswalk links Canada's NOC occupation codes to O*NET task data.
- The Labour Force Survey does not ask workers about AI use on the job.
- AI-talent emigration is not measured at the occupation level.