AI Job Risk in Canada

Average generative-AI exposure of the workforce

0.321

ILO score (0–1). Rank 7 of 20 countries.

People in employment, 2025

20,490,000

ILO modelled estimate

What people in Canada work as

Share of employment in each ISCO-08 major occupation group, and the group's average generative-AI exposure (ILO score, 0–1). The country figure above is the employment-weighted average of the exposure column.

Occupation group	Share of employment	Exposure (ILO, 0–1)
Professionals	21.8%	0.39
Technicians and associate professionals	18.0%	0.35
Service and sales workers	15.0%	0.26
Clerical support workers	11.6%	0.53
Craft and related trades workers	8.8%	0.17
Managers	8.6%	0.36
Skilled agricultural workers and elementary occupations	8.5%	0.15
Plant and machine operators, and assemblers	7.6%	0.20

Method: each country's employment by ISCO-08 major occupation group (ILOSTAT, ILO modelled estimates) multiplied by the average ILO exposure score of the occupations in that group (ILO Working Paper 140), then added up. The ILO publishes skilled agricultural workers and elementary occupations as one group and leaves out the armed forces. The figure uses the ILO's 0–1 scale, not the 0–100 occupation index used elsewhere on this site, and it treats an occupation as equally exposed in every country.

How to read this page in practice

The notes below explain how to read the country figure, what kind of occupation mix raises or lowers it, and what this comparison can and cannot tell you.

How to Read This Country

Canada is easiest to read by separating concentrated urban knowledge work from resource extraction and the public administration spread across the country. Banking, insurance, IT services, and corporate administrative work sit in the exposed layer, concentrated in a handful of major metro areas with deep financial and tech sectors. Mining, oil and gas field operations, forestry, and the large bilingual public service sit in the more durable layer, where remote site work, safety-critical operations, and French-English service obligations under federal law keep substantial human staffing in place.

What drives the figure

Employment concentrates in financial services and technology in central Canada, energy and mining in Alberta and parts of the west, forestry and fisheries in coastal and northern regions, and a large public sector shaped by federal bilingualism requirements. AI pressure is sharpest in bank back offices, insurance underwriting, IT support, and administrative processing in major cities. It spreads more slowly through oil sands and mine site operations, forestry and fisheries work tied to remote regions, and public-facing government services that must be delivered in both English and French, which adds translation and compliance layers that slow any purely automated rollout.

What Holds Up Better

What stays durable is work anchored to physical resource operations and to Canada's bilingual public administration: mine and rig technicians, foresters, fisheries workers, and civil servants delivering federally mandated services in two languages. The country's reliance on a resource sector operating far from major population centers also means site supervision, equipment maintenance, and safety judgment retain outsized importance relative to economies built more heavily around office-based services, and translation obligations add a layer of work that has no equivalent in unilingual economies.

What This Page Does Not Claim

A single Canadian score blends a small number of dense, AI-exposed metro economies with vast resource and rural regions where the labor market looks entirely different. It also cannot capture how bilingual service obligations slow automation in public administration specifically in Canada, a factor with no equivalent in most peer economies. Read the number together with the urban-resource divide and provincial variation, rather than as one uniform national trend.

Jobs Most At Risk from AI

This table is a current snapshot of the jobs that appear on the higher-risk side within this country profile. It is useful as a directional comparison, not as a permanent national ranking. Both lists only include jobs in the three occupation groups that employ the most people in Canada, ordered by exposure index.

Rank	Job	Occupation group	Generative-AI exposure
1	Interpreter	Professionals	98
2	Translator	Professionals	98
3	Web Developer	Professionals	97
4	Technical Writer	Professionals	96
5	Programmer	Professionals	96
6	Content Writer	Professionals	95
7	Copywriter	Professionals	95
8	Data Analyst	Professionals	95
9	Data Scientist	Professionals	95
10	Software Tester	Professionals	95
11	Advertising Specialist	Professionals	94
12	Market Research Analyst	Professionals	94
13	Marketing Specialist	Professionals	94
14	SEO Specialist	Professionals	94
15	Social Media Manager	Professionals	94
16	IT Support Specialist	Technicians and associate professionals	94
17	Editor	Professionals	94
18	Sales Representative	Technicians and associate professionals	93
19	Telemarketer	Service and sales workers	93
20	Journalist	Professionals	93

Jobs Safest from AI

This table shows the jobs that currently appear on the lower-risk side within this country profile. Read it as a structural comparison of work, not as a guarantee that these roles will stay unchanged.

Rank	Job	Occupation group	Generative-AI exposure
1	Firefighter	Service and sales workers	25
2	Ship Engineer	Technicians and associate professionals	27
3	Water Treatment Operator	Technicians and associate professionals	27
4	Veterinary Assistant	Technicians and associate professionals	28
5	Paramedic	Technicians and associate professionals	32
6	Dentist	Professionals	33
7	Laboratory Technician	Technicians and associate professionals	37
8	Pilot	Technicians and associate professionals	39
9	Power Plant Operator	Technicians and associate professionals	39
10	Security Guard	Service and sales workers	39
11	Fitness Trainer	Technicians and associate professionals	39
12	Barista	Service and sales workers	39
13	Surgeon	Professionals	39
14	Sound Engineer	Technicians and associate professionals	41
15	Ship Captain	Technicians and associate professionals	42
16	Bartender	Service and sales workers	43
17	Chef	Technicians and associate professionals	44
18	Cook	Service and sales workers	44
19	Medical Assistant	Technicians and associate professionals	46
20	Veterinarian	Professionals	47

Sources

Exposure index calculated by ai-job-risk.net from the datasets below (data as of October 15, 2026). US labour figures are from the BLS, unchanged.

The publishers did not prepare, review or endorse this site. Full citations, licences and method

Frequently asked questions

Q.Which jobs are most at risk from AI in Canada?

Most exposed: Interpreter, Translator, Web Developer. Employment concentrates in financial services and technology in central Canada, energy and mining in Alberta and parts of the west, forestry and fisheries in coastal and northern regions, and a large public sector shaped by federal bilingualism requirements. AI pressure is sharpest in bank back offices, insurance underwriting, IT support, and administrative processing in major cities.

Q.Which jobs are safest from AI in Canada?

Least exposed: Firefighter, Ship Engineer, Water Treatment Operator. What stays durable is work anchored to physical resource operations and to Canada's bilingual public administration: mine and rig technicians, foresters, fisheries workers, and civil servants delivering federally mandated services in two languages. The country's reliance on a resource sector operating far from major population centers also means site supervision, equipment maintenance, and safety judgment retain outsized importance relative to economies built more heavily around office-based services, and translation obligations add a layer of work that has no equivalent in unilingual economies.

Q.How exposed is Canada to AI automation?

Canada is easiest to read by separating concentrated urban knowledge work from resource extraction and the public administration spread across the country. Banking, insurance, IT services, and corporate administrative work sit in the exposed layer, concentrated in a handful of major metro areas with deep financial and tech sectors. Mining, oil and gas field operations, forestry, and the large bilingual public service sit in the more durable layer, where remote site work, safety-critical operations, and French-English service obligations under federal law keep substantial human staffing in place.

Q.Does high exposure mean jobs will disappear in Canada?

A single Canadian score blends a small number of dense, AI-exposed metro economies with vast resource and rural regions where the labor market looks entirely different. It also cannot capture how bilingual service obligations slow automation in public administration specifically in Canada, a factor with no equivalent in most peer economies. Read the number together with the urban-resource divide and provincial variation, rather than as one uniform national trend.