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Tier B Sweden · 2025

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

The short answer: General and keyboard clerks score 9.0/10 - the highest AI exposure in Sweden.

Which jobs are most at risk from AI in Sweden? General and keyboard clerks leads at 9.0/10. Workforce average: 5.3/10. Data covers 5.3M workers. Free. Official government data.

Total Workforce
5.3M
workers tracked
Avg AI Exposure
5.3/10
workforce-weighted
Most Exposed
General and keyboard clerks
9.0/10
Safest Occupation
Armed forces occupations, other ranks
1.5/10
Informal Employment
3.7%
of workforce (ILO)

All Occupations Ranked by AI Exposure

40 ISCO-08 occupation groups · data year 2025 · Tier B Employment and AI scores from Eurostat (no wages)

ISCO Occupation Group AI Exposure Robotics Risk WFH Potential Employment
41 General and keyboard clerks 9.0/10 2.0/10 9.0/10 43K
25 Information and communications technology professionals 8.5/10 1.0/10 9.5/10 297K
42 Customer services clerks 8.5/10 4.0/10 8.0/10 60K
43 Numerical and material recording clerks 8.5/10 4.5/10 7.5/10 160K
24 Business and administration professionals 8.0/10 1.5/10 9.0/10 405K
33 Business and administration associate professionals 7.5/10 1.5/10 8.5/10 450K
35 Information and communications technicians 7.5/10 2.5/10 8.5/10 65K
21 Science and engineering professionals 7.0/10 2.0/10 8.0/10 218K
26 Legal, social and cultural professionals 7.0/10 1.0/10 7.5/10 227K
12 Administrative and commercial managers 6.5/10 1.5/10 8.0/10 112K
23 Teaching professionals 6.5/10 1.5/10 6.0/10 338K
44 Other clerical support workers 6.0/10 4.5/10 4.0/10 28K
31 Science and engineering associate professionals 5.5/10 4.0/10 4.0/10 254K
11 Chief executives, senior officials and legislators 5.0/10 1.0/10 6.5/10 14K
13 Production and specialised services managers 5.0/10 3.5/10 5.0/10 158K
22 Health professionals 5.0/10 2.5/10 2.0/10 276K
32 Health associate professionals 5.0/10 4.0/10 2.0/10 66K
34 Legal, social, cultural and related associate professionals 5.0/10 2.0/10 4.0/10 115K
52 Sales workers 5.0/10 6.0/10 2.5/10 205K
14 Hospitality, retail and other services managers 4.5/10 3.0/10 3.0/10 49K
73 Handicraft and printing workers 4.0/10 5.0/10 2.0/10 12K
01 Commissioned armed forces officers 3.5/10 2.0/10 2.0/10 15K
61 Market-oriented skilled agricultural workers 3.5/10 7.0/10 1.0/10 65K
74 Electrical and electronic trades workers 3.5/10 3.5/10 1.5/10 87K
81 Stationary plant and machine operators 3.5/10 8.0/10 1.5/10 59K
72 Metal, machinery and related trades workers 3.0/10 6.5/10 1.0/10 141K
51 Personal service workers 2.5/10 5.0/10 1.0/10 170K
62 Market-oriented skilled forestry, fishing and hunting workers 2.5/10 5.5/10 0.5/10 10K
75 Food processing, woodworking, garment and other craft workers 2.5/10 5.5/10 1.5/10 25K
82 Assemblers 2.5/10 8.5/10 0.5/10 38K
83 Drivers and mobile plant operators 2.5/10 7.5/10 0.5/10 194K
53 Personal care workers 2.0/10 2.5/10 0.5/10 439K
54 Protective services workers 2.0/10 3.5/10 0.5/10 46K
71 Building and related trades workers (excl. electricians) 2.0/10 4.0/10 0.5/10 181K
93 Labourers in mining, construction, manufacturing and transport 2.0/10 6.5/10 0.0/10 46K
03 Armed forces occupations, other ranks 1.5/10 4.0/10 0.5/10 8K
91 Cleaners and helpers 1.5/10 6.0/10 0.0/10 82K
92 Agricultural, forestry and fishery labourers 1.5/10 6.0/10 0.0/10 4K
94 Food preparation assistants 1.5/10 6.5/10 0.0/10 73K
96 Refuse workers and other elementary workers 1.5/10 6.0/10 0.0/10 22K

AI/robotics/WFH scores are research-based estimates (Frey-Osborne, OECD, IMF 2024), not official statistics. Hover occupation name for rationale. Employment from: Eurostat lfsa_egai2d (Eurostat open dissemination policy), OECD Average Annual Wages (USD PPP, 2024).

AI Disruption Context

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

Risk Velocity
10.0/10
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 Sweden?
General and keyboard clerks has the highest AI exposure score in Sweden at 9.0/10. This occupation involves routine information handling that current AI systems can perform effectively.
What is the average AI exposure score in Sweden?
The workforce-weighted average AI exposure score in Sweden is 5.3/10, covering 5.3M workers across 40 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Sweden?
Armed forces occupations, other ranks has the lowest AI exposure score in Sweden at 1.5/10. These roles require physical presence or manual dexterity in unpredictable environments that current AI cannot automate at scale.
When will AI disruption arrive in Sweden?
Based on digital infrastructure readiness, Sweden scores 10.0/10 for AI Risk Velocity. Disruption imminent (1-3 years). This is derived from World Bank broadband and secure internet server data.
How well can Sweden's workforce adapt to AI disruption?
Sweden 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.
Is automation good or bad for Sweden's workforce?
Sweden 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 Sweden workforce data come from?
The Sweden data comes from: Eurostat lfsa_egai2d (Eurostat open dissemination policy); 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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