AI Job Risk in Germany

Average generative-AI exposure of the workforce

0.324

ILO score (0–1). Rank 5 of 20 countries.

People in employment, 2025

42,226,000

ILO modelled estimate

What people in Germany 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	24.0%	0.39
Technicians and associate professionals	20.2%	0.35
Service and sales workers	13.8%	0.26
Clerical support workers	12.8%	0.53
Craft and related trades workers	10.3%	0.17
Skilled agricultural workers and elementary occupations	8.4%	0.15
Plant and machine operators, and assemblers	6.1%	0.20
Managers	4.4%	0.36

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

Germany is easiest to read by separating the highly documented office and administrative layer from the engineering, skilled-trade, and production work that anchors the economy. AI can accelerate a large share of clerical processing, translation, reporting, and first-pass analysis, and Germany has plenty of that work. But the country's competitive strength sits in areas — mechanical and electrical engineering, industrial maintenance, quality assurance — where responsibility, on-site judgment, and deep domain skill still decide outcomes, so a single national number hides very different realities.

What drives the figure

Germany concentrates employment in automotive and machinery manufacturing, engineering services, chemicals, finance and insurance, and a large public administration. AI pressure rises fastest in the office-heavy layers: administrative processing, bookkeeping, customer correspondence, standardized reporting, and translation, all of which are text- and rule-based. It moves more slowly through the industrial core, where roles such as machine setters, maintenance technicians, and quality engineers depend on physical presence, safety accountability, and judgment about equipment and tolerances that generative tools cannot take over.

What Holds Up Better

The most durable work in Germany tends to combine technical skill with responsibility a person has to carry: engineers who sign off on designs, technicians who keep production lines running, tradespeople in construction and installation, and skilled workers whose vocational training through the dual system builds expertise that is hard to compress. Roles that pair domain knowledge with on-site decision-making and accountability keep more of their value than roles built mainly on moving documents.

What This Page Does Not Claim

A national score cannot capture the gap between Germany's exposed administrative layer and its resilient industrial and skilled-trade base. Strong labor protections and works councils also shape how quickly change actually reaches jobs, separately from how technically automatable a task is. Read the number alongside how much of a given role is standardized office work versus physical, technical, or accountable work.

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 Germany, 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 Germany?

Most exposed: Interpreter, Translator, Web Developer. Germany concentrates employment in automotive and machinery manufacturing, engineering services, chemicals, finance and insurance, and a large public administration. AI pressure rises fastest in the office-heavy layers: administrative processing, bookkeeping, customer correspondence, standardized reporting, and translation, all of which are text- and rule-based.

Q.Which jobs are safest from AI in Germany?

Least exposed: Firefighter, Ship Engineer, Water Treatment Operator. The most durable work in Germany tends to combine technical skill with responsibility a person has to carry: engineers who sign off on designs, technicians who keep production lines running, tradespeople in construction and installation, and skilled workers whose vocational training through the dual system builds expertise that is hard to compress. Roles that pair domain knowledge with on-site decision-making and accountability keep more of their value than roles built mainly on moving documents.

Q.How exposed is Germany to AI automation?

Germany is easiest to read by separating the highly documented office and administrative layer from the engineering, skilled-trade, and production work that anchors the economy. AI can accelerate a large share of clerical processing, translation, reporting, and first-pass analysis, and Germany has plenty of that work. But the country's competitive strength sits in areas — mechanical and electrical engineering, industrial maintenance, quality assurance — where responsibility, on-site judgment, and deep domain skill still decide outcomes, so a single national number hides very different realities.

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

A national score cannot capture the gap between Germany's exposed administrative layer and its resilient industrial and skilled-trade base. Strong labor protections and works councils also shape how quickly change actually reaches jobs, separately from how technically automatable a task is. Read the number alongside how much of a given role is standardized office work versus physical, technical, or accountable work.