AI Job Risk in Netherlands
Artificial intelligence will transform this labor market in different ways across industries.
Jobs involving repetitive tasks are more likely to be automated, while professions requiring human interaction and physical skills remain more resilient.
What to keep in mind first
The Netherlands has a high concentration of logistics, finance, and professional services, which gives data-driven work a large presence in the economy. That is exactly why it helps to separate the efficiency story from the story about international coordination and accountable judgment.
Average AI Risk
43.85 / 100
Jobs Analyzed
204
How to read this page in practice
The notes below explain how to interpret the country score, what kinds of sector mix usually raise or lower it, and what this comparison can and cannot tell you.
How to Read This Country
This country page is most useful when it reads two things together: the large share of work that runs well on data and the continued weight of judgment in international coordination and institutional compliance. The Netherlands leans heavily on logistics, finance, professional services, and technology, making it highly receptive to digital efficiency. Even so, work close to cross-border transactions and rule-bound operations still leaves substantial room for human responsibility.
What Drives the Score
Work centered on comparison, forecasting, administration, and analysis tends to benefit quickly from AI support here. At the same time, international logistics, finance, and regulatory work still preserve the need for explanation, exception handling, and final judgment. Even where efficiency improves, the last line of accountability often remains human.
What Holds Up Better
The work that holds up best in the Netherlands is work that pulls multiple interests and rule systems into one coherent decision. In a country with many international touchpoints, consistency and explainability matter more than simple automation for its own sake.
What This Page Does Not Claim
A national average can point to how favorable the environment is for digital acceleration, but it does not determine on its own which work will hold up. You need to read logistics, finance, and professional services separately and ask what within each domain is being automated and what still resists replacement.
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.
| Rank | Job | Risk Score |
|---|---|---|
| 1 | Data Entry Clerk | 81 |
| 2 | Retail Cashier | 78 |
| 3 | Truck Driver | 77 |
| 4 | Bookkeeper | 75 |
| 5 | Accounting Clerk | 74 |
| 6 | Software Tester | 73 |
| 7 | Insurance Underwriter | 72 |
| 8 | Data Analyst | 72 |
| 9 | Civil Drafter | 72 |
| 10 | Taxi Driver | 71 |
| 11 | Bank Teller | 69 |
| 12 | System Administrator | 68 |
| 13 | Train Operator | 67 |
| 14 | Tax Preparer | 67 |
| 15 | QA Engineer | 65 |
| 16 | Mobile App Developer | 64 |
| 17 | Surveying Technician | 64 |
| 18 | Database Administrator | 63 |
| 19 | Accountant | 62 |
| 20 | Software Engineer | 62 |
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 | Risk Score |
|---|---|---|
| 1 | Surgeon | 10 |
| 2 | Therapist | 11 |
| 3 | Plumber | 11 |
| 4 | Psychologist | 12 |
| 5 | Electrician | 12 |
| 6 | Paramedic | 14 |
| 7 | Nurse | 15 |
| 8 | Dentist | 15 |
| 9 | School Counselor | 16 |
| 10 | Psychiatrist | 16 |
| 11 | Veterinarian | 17 |
| 12 | Professor | 18 |
| 13 | Doctor | 18 |
| 14 | Air Traffic Controller | 20 |
| 15 | Social Worker | 20 |
| 16 | Elevator Technician | 21 |
| 17 | Aircraft Mechanic | 22 |
| 18 | Teacher | 22 |
| 19 | Astronomer | 22 |
| 20 | Machine Learning Engineer | 23 |
Industry Risk
This table compares the industries that shape the country score today. It is most useful for seeing which parts of the economy pull the average up or down.
| Industry | Industry Average Risk Score |
|---|---|
| Retail | 61.5 |
| Finance | 58.67 |
| Technology | 51.13 |
| Transportation | 45.3 |
| Agriculture | 42.25 |
| Manufacturing | 40.88 |
| Energy | 37.33 |
| Construction | 34.25 |
| Education | 31.58 |
| Science | 31.22 |
| Healthcare | 26.13 |