AI Job Risk in Netherlands

Average generative-AI exposure of the workforce

0.327

ILO score (0–1). Rank 3 of 20 countries.

People in employment, 2025

10,089,000

ILO modelled estimate

What people in Netherlands 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	32.6%	0.39
Technicians and associate professionals	17.3%	0.35
Service and sales workers	16.8%	0.26
Skilled agricultural workers and elementary occupations	8.6%	0.15
Clerical support workers	8.3%	0.53
Craft and related trades workers	6.3%	0.17
Managers	6.1%	0.36
Plant and machine operators, and assemblers	3.9%	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

The Netherlands is best understood as an economy where digital efficiency is already the norm, so the marginal effect of AI falls more on incremental gains in already-optimized office work than on wholesale disruption. Its port and logistics operations combine advanced automation with large numbers of physical roles in freight handling and transport coordination that still require human oversight. Its agri-food sector depends on specialized technical knowledge in greenhouse and dairy operations. Reading the country well means recognizing that high digital readiness cuts both ways: rapid AI adoption, but also a labor market that has already absorbed much of the easy efficiency gains.

What drives the figure

Dutch employment concentrates in logistics and transport around the port of Rotterdam and Schiphol air cargo, high-intensity horticulture and dairy farming, finance and business services in Amsterdam, and a substantial public and healthcare sector. AI pressure is most visible in financial back offices, insurance administration, and standardized consulting deliverables, built on structured data the country's mature digital infrastructure makes easy to process. It is slower in port and warehouse operations, where physical freight handling still needs people on-site, and in agriculture, where climate-controlled greenhouse and livestock operations depend on specialized technical judgment generic AI tools do not replicate.

What Holds Up Better

What remains durable in the Netherlands is physical logistics coordination, specialized agricultural expertise, and the advisory layer of finance and business services that depends on client relationships and regulatory judgment rather than routine processing. Port and transport roles that require real-time coordination of physical goods across a dense international hub keep their value, as does the technical knowledge embedded in Dutch horticulture and dairy farming, refined over generations and tied to specific growing and breeding conditions.

What This Page Does Not Claim

A national score cannot fully capture how much of the Netherlands' apparent AI exposure reflects a labor market that was already highly digitalized before generative AI existed, meaning some office-efficiency gains commonly attributed to AI were realized years earlier through older software. Read this score alongside the distinction between the country's globally exposed finance and trade hubs and its more physically anchored logistics and agricultural base, which respond to new AI tools on a much slower timeline.

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 Netherlands, 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 Netherlands?

Most exposed: Interpreter, Translator, Web Developer. Dutch employment concentrates in logistics and transport around the port of Rotterdam and Schiphol air cargo, high-intensity horticulture and dairy farming, finance and business services in Amsterdam, and a substantial public and healthcare sector. AI pressure is most visible in financial back offices, insurance administration, and standardized consulting deliverables, built on structured data the country's mature digital infrastructure makes easy to process.

Q.Which jobs are safest from AI in Netherlands?

Least exposed: Firefighter, Ship Engineer, Water Treatment Operator. What remains durable in the Netherlands is physical logistics coordination, specialized agricultural expertise, and the advisory layer of finance and business services that depends on client relationships and regulatory judgment rather than routine processing. Port and transport roles that require real-time coordination of physical goods across a dense international hub keep their value, as does the technical knowledge embedded in Dutch horticulture and dairy farming, refined over generations and tied to specific growing and breeding conditions.

Q.How exposed is Netherlands to AI automation?

The Netherlands is best understood as an economy where digital efficiency is already the norm, so the marginal effect of AI falls more on incremental gains in already-optimized office work than on wholesale disruption. Its port and logistics operations combine advanced automation with large numbers of physical roles in freight handling and transport coordination that still require human oversight. Its agri-food sector depends on specialized technical knowledge in greenhouse and dairy operations.

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

A national score cannot fully capture how much of the Netherlands' apparent AI exposure reflects a labor market that was already highly digitalized before generative AI existed, meaning some office-efficiency gains commonly attributed to AI were realized years earlier through older software. Read this score alongside the distinction between the country's globally exposed finance and trade hubs and its more physically anchored logistics and agricultural base, which respond to new AI tools on a much slower timeline.