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Tier A Norway · 2025

AI Job Risk in Norway - Which Occupations Are Most at Risk?

The short answer: Clerical support workers score 8.5/10 - the highest AI exposure in Norway.

Which jobs are most at risk from AI in Norway? Clerical support workers leads at 8.5/10. Workforce average: 5.0/10. Data covers 2.9M workers. Free. Official government data.

Total Workforce
2.9M
workers tracked
Avg AI Exposure
5.0/10
workforce-weighted
Most Exposed
Clerical support workers
8.5/10
Safest Occupation
Elementary occupations
2.0/10
Informal Employment
2.0%
of workforce (ILO)

All Occupations Ranked by AI Exposure

10 ISCO-08 occupation groups · data year 2025 · Tier A Full data - employment, wages, AI scores, growth projections

ISCO Occupation Group AI Exposure Robotics Risk WFH Potential Employment Median Wage
4 Clerical support workers 8.5/10 2.5/10 8.5/10 172K $59,264
2 Professionals 6.5/10 1.5/10 7.5/10 846K $79,493
1 Managers 5.5/10 1.5/10 7.0/10 219K $100,866
3 Technicians and associate professionals 5.5/10 3.5/10 4.5/10 449K $79,998
5 Service and sales workers 3.5/10 4.5/10 1.5/10 597K $51,805
6 Skilled agricultural, forestry and fishery workers 3.0/10 6.5/10 1.0/10 61K $53,814
8 Plant and machine operators and assemblers 3.0/10 7.5/10 1.0/10 177K $63,001
0 Armed forces occupations 2.5/10 3.0/10 1.0/10 11K N/A
7 Craft and related trades workers 2.5/10 4.5/10 1.0/10 233K $60,995
9 Elementary occupations 2.0/10 5.5/10 0.5/10 103K $49,779

AI/robotics/WFH scores are research-based estimates (Frey-Osborne, OECD, IMF 2024), not official statistics. Hover occupation name for rationale. Employment from: ILO ILOSTAT (CC BY 4.0), Eurostat SES 2022 (mean annual gross earnings, EUR).

AI Disruption Context

World Bank indicators showing when disruption will arrive and how resilient the workforce is.

Risk Velocity
9.5/10
Disruption imminent (1-3 years)
Recovery Resilience
7.7/10
High resilience - workers can pivot
Demographic Alignment
Labor shortage solver
Aging workforce means automation fills critical gaps

Source: World Bank Open Data (CC BY 4.0) - IT.NET.BBND.P2, IT.NET.SECR.P6, HD_HCIP_OTJL_TO, SP social protection indicators.

Frequently Asked Questions

Which job is most at risk from AI in Norway?
Clerical support workers has the highest AI exposure score in Norway at 8.5/10. This occupation involves routine information handling that current AI systems can perform effectively.
What is the average AI exposure score in Norway?
The workforce-weighted average AI exposure score in Norway is 5.0/10, covering 2.9M workers across 10 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Norway?
Elementary occupations has the lowest AI exposure score in Norway at 2.0/10. These roles require physical presence or manual dexterity in unpredictable environments that current AI cannot automate at scale.
When will AI disruption arrive in Norway?
Based on digital infrastructure readiness, Norway scores 9.5/10 for AI Risk Velocity. Disruption imminent (1-3 years). This is derived from World Bank broadband and secure internet server data.
How well can Norway's workforce adapt to AI disruption?
Norway scores 7.7/10 for Workforce Recovery Capacity. High resilience - workers can pivot. This combines the World Bank Human Capital Index on-the-job learning score and social protection coverage data.
Which occupation pays the most in Norway?
The highest-paid occupation in Norway is Managers at $100,866 per year. The lowest-paid is Elementary occupations at $49,779 per year.
Is automation good or bad for Norway's workforce?
Norway is classified as 'Labor shortage solver'. Aging workforce means automation fills critical gaps. This is based on World Bank old-age dependency ratio and fertility rate data.
Where does the Norway workforce data come from?
The Norway data comes from: ILO ILOSTAT (CC BY 4.0); Eurostat SES 2022 (mean annual gross earnings, EUR); OECD Average Annual Wages (USD PPP, 2024). All data is from official government or intergovernmental sources and is freely available at worldjobsdata.com.
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