AI Job Risk in Sweden

Average generative-AI exposure of the workforce

0.323

ILO score (0–1). Rank 6 of 20 countries.

People in employment, 2025

5,235,000

ILO modelled estimate

What people in Sweden 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	34.0%	0.39
Technicians and associate professionals	18.5%	0.35
Service and sales workers	16.3%	0.26
Craft and related trades workers	8.0%	0.17
Managers	6.3%	0.36
Skilled agricultural workers and elementary occupations	5.9%	0.15
Clerical support workers	5.8%	0.53
Plant and machine operators, and assemblers	5.2%	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

Sweden is best read through the lens of its institutional strength as much as its industry mix. The country's engineering firms and technology startups generate real AI exposure in software-adjacent and process-engineering roles, but Sweden's collective-bargaining system and active labor-market policies mean the human impact of that exposure is shaped as much by negotiated retraining and transition support as by the technology itself. Its very large public sector, covering healthcare, education, and elder care, also anchors substantial employment in relationship-based work that AI can support but not replace.

What drives the figure

Sweden's employment concentrates in engineering and industrial manufacturing, a globally competitive technology and startup sector, telecom and forestry-linked industries, and an unusually large public sector delivering healthcare, education, and social care. AI pressure is strongest in standardized engineering documentation, software testing, financial administration, and back-office functions inside both industrial firms and government agencies. It is weaker in frontline public-sector roles such as nursing, elder care, and teaching, and in the hands-on engineering and manufacturing work that still requires physical problem-solving on production lines and in the forestry and mining operations that anchor Sweden's industrial regions.

What Holds Up Better

Sweden's resilience comes from the combination of strong worker protections and a public sector built around direct human care. Healthcare workers, teachers, and elder-care staff remain essential because their work is relational and physically present in ways AI cannot substitute for, and Sweden's collective-bargaining culture gives displaced workers structured pathways into retraining rather than leaving them exposed. Skilled engineers and technicians in advanced manufacturing also hold their value because Swedish industry competes on precision and innovation rather than low-cost repetition.

What This Page Does Not Claim

A national score cannot capture how Sweden's strong labor-market institutions change the practical meaning of exposure: a role can be technically automatable while remaining protected by collective agreements, active retraining programs, and a policy tradition that treats labor transitions as a shared responsibility. Read the score as a technical exposure measure, not a prediction of job loss, in a country where institutions actively mediate that transition.

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 Sweden, 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 Sweden?

Most exposed: Interpreter, Translator, Web Developer. Sweden's employment concentrates in engineering and industrial manufacturing, a globally competitive technology and startup sector, telecom and forestry-linked industries, and an unusually large public sector delivering healthcare, education, and social care. AI pressure is strongest in standardized engineering documentation, software testing, financial administration, and back-office functions inside both industrial firms and government agencies.

Q.Which jobs are safest from AI in Sweden?

Least exposed: Firefighter, Ship Engineer, Water Treatment Operator. Sweden's resilience comes from the combination of strong worker protections and a public sector built around direct human care. Healthcare workers, teachers, and elder-care staff remain essential because their work is relational and physically present in ways AI cannot substitute for, and Sweden's collective-bargaining culture gives displaced workers structured pathways into retraining rather than leaving them exposed.

Q.How exposed is Sweden to AI automation?

Sweden is best read through the lens of its institutional strength as much as its industry mix. The country's engineering firms and technology startups generate real AI exposure in software-adjacent and process-engineering roles, but Sweden's collective-bargaining system and active labor-market policies mean the human impact of that exposure is shaped as much by negotiated retraining and transition support as by the technology itself. Its very large public sector, covering healthcare, education, and elder care, also anchors substantial employment in relationship-based work that AI can support but not replace.

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

A national score cannot capture how Sweden's strong labor-market institutions change the practical meaning of exposure: a role can be technically automatable while remaining protected by collective agreements, active retraining programs, and a policy tradition that treats labor transitions as a shared responsibility. Read the score as a technical exposure measure, not a prediction of job loss, in a country where institutions actively mediate that transition.