AI Job Risk in Switzerland

Average generative-AI exposure of the workforce

0.332

ILO score (0–1). Rank 2 of 20 countries.

People in employment, 2025

4,846,000

ILO modelled estimate

What people in Switzerland 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	27.4%	0.39
Technicians and associate professionals	17.3%	0.35
Service and sales workers	13.3%	0.26
Clerical support workers	12.1%	0.53
Craft and related trades workers	9.2%	0.17
Managers	8.9%	0.36
Skilled agricultural workers and elementary occupations	8.2%	0.15
Plant and machine operators, and assemblers	3.7%	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

Switzerland is best read as an economy built on high-value specialization rather than volume, which changes how AI exposure plays out. Its banking sector generates standardized compliance, reporting, and client-administration work well suited to AI assistance, but its wealth-management core depends on discretion and regulatory judgment that resist automation. Its pharmaceutical companies run advanced research operations, where AI speeds up data analysis but scientific judgment and regulatory approval remain human-led. Its precision manufacturing sector, especially watchmaking and medical instruments, depends on craftsmanship and exacting tolerances that keep production work firmly hands-on.

What drives the figure

Switzerland concentrates employment in private banking and asset management, pharmaceuticals and life sciences, precision manufacturing including watches and medical devices, and a vocational-education-linked industrial base. AI pressure is strongest in banking compliance, standardized reporting, insurance administration, and routine legal and financial documentation. It is markedly weaker in wealth-management advisory roles that depend on client trust and discretion, in pharmaceutical research and regulatory affairs that require scientific judgment, and in precision manufacturing roles such as watchmakers, machinists, and quality inspectors, whose work depends on manual dexterity and tolerances measured in fractions of a millimeter.

What Holds Up Better

Switzerland's durability rests on specialization that took decades to build and cannot be easily replicated by general-purpose AI. Wealth-management advisors, pharmaceutical scientists, and precision manufacturing craftsmen all depend on forms of expertise, discretion, or manual skill developed through Switzerland's strong vocational and apprenticeship system, which keeps technical knowledge embedded in people rather than fully codified in documents. This apprenticeship tradition also means Switzerland continually renews its supply of skilled trades workers whose value lies in hands-on precision.

What This Page Does Not Claim

A single national score understates how much Switzerland's labor market is split between a small number of extremely high-value, judgment-intensive sectors and more standardized administrative layers that support them. Read this score with that split in mind, since a compliance analyst at a private bank and a research scientist at a pharmaceutical firm face very different pressure despite sharing the same national score and the same small, wealthy economy.

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 Switzerland, 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 Switzerland?

Most exposed: Interpreter, Translator, Web Developer. Switzerland concentrates employment in private banking and asset management, pharmaceuticals and life sciences, precision manufacturing including watches and medical devices, and a vocational-education-linked industrial base. AI pressure is strongest in banking compliance, standardized reporting, insurance administration, and routine legal and financial documentation.

Q.Which jobs are safest from AI in Switzerland?

Least exposed: Firefighter, Ship Engineer, Water Treatment Operator. Switzerland's durability rests on specialization that took decades to build and cannot be easily replicated by general-purpose AI. Wealth-management advisors, pharmaceutical scientists, and precision manufacturing craftsmen all depend on forms of expertise, discretion, or manual skill developed through Switzerland's strong vocational and apprenticeship system, which keeps technical knowledge embedded in people rather than fully codified in documents.

Q.How exposed is Switzerland to AI automation?

Switzerland is best read as an economy built on high-value specialization rather than volume, which changes how AI exposure plays out. Its banking sector generates standardized compliance, reporting, and client-administration work well suited to AI assistance, but its wealth-management core depends on discretion and regulatory judgment that resist automation. Its pharmaceutical companies run advanced research operations, where AI speeds up data analysis but scientific judgment and regulatory approval remain human-led.

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

A single national score understates how much Switzerland's labor market is split between a small number of extremely high-value, judgment-intensive sectors and more standardized administrative layers that support them. Read this score with that split in mind, since a compliance analyst at a private bank and a research scientist at a pharmaceutical firm face very different pressure despite sharing the same national score and the same small, wealthy economy.