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Tier B Austria · 2025

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

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

Which jobs are most at risk from AI in Austria? General and keyboard clerks leads at 9.0/10. Workforce average: 5.1/10. Data covers 4.5M workers. Free. Official government data.

Total Workforce
4.5M
workers tracked
Avg AI Exposure
5.1/10
workforce-weighted
Most Exposed
General and keyboard clerks
9.0/10
Safest Occupation
Armed forces occupations, other ranks
1.5/10
Informal Employment
3.4%
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 200K
25 Information and communications technology professionals 8.5/10 1.0/10 9.5/10 138K
42 Customer services clerks 8.5/10 4.0/10 8.0/10 66K
43 Numerical and material recording clerks 8.5/10 4.5/10 7.5/10 128K
24 Business and administration professionals 8.0/10 1.5/10 9.0/10 164K
33 Business and administration associate professionals 7.5/10 1.5/10 8.5/10 373K
35 Information and communications technicians 7.5/10 2.5/10 8.5/10 42K
21 Science and engineering professionals 7.0/10 2.0/10 8.0/10 142K
26 Legal, social and cultural professionals 7.0/10 1.0/10 7.5/10 146K
12 Administrative and commercial managers 6.5/10 1.5/10 8.0/10 86K
23 Teaching professionals 6.5/10 1.5/10 6.0/10 244K
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 222K
11 Chief executives, senior officials and legislators 5.0/10 1.0/10 6.5/10 40K
13 Production and specialised services managers 5.0/10 3.5/10 5.0/10 84K
22 Health professionals 5.0/10 2.5/10 2.0/10 188K
32 Health associate professionals 5.0/10 4.0/10 2.0/10 87K
34 Legal, social, cultural and related associate professionals 5.0/10 2.0/10 4.0/10 99K
52 Sales workers 5.0/10 6.0/10 2.5/10 302K
14 Hospitality, retail and other services managers 4.5/10 3.0/10 3.0/10 36K
73 Handicraft and printing workers 4.0/10 5.0/10 2.0/10 16K
61 Market-oriented skilled agricultural workers 3.5/10 7.0/10 1.0/10 119K
74 Electrical and electronic trades workers 3.5/10 3.5/10 1.5/10 78K
81 Stationary plant and machine operators 3.5/10 8.0/10 1.5/10 54K
72 Metal, machinery and related trades workers 3.0/10 6.5/10 1.0/10 172K
51 Personal service workers 2.5/10 5.0/10 1.0/10 259K
62 Market-oriented skilled forestry, fishing and hunting workers 2.5/10 5.5/10 0.5/10 5K
75 Food processing, woodworking, garment and other craft workers 2.5/10 5.5/10 1.5/10 66K
82 Assemblers 2.5/10 8.5/10 0.5/10 14K
83 Drivers and mobile plant operators 2.5/10 7.5/10 0.5/10 156K
02 Non-commissioned armed forces officers 2.0/10 3.0/10 1.0/10 5K
53 Personal care workers 2.0/10 2.5/10 0.5/10 158K
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 182K
93 Labourers in mining, construction, manufacturing and transport 2.0/10 6.5/10 0.0/10 123K
03 Armed forces occupations, other ranks 1.5/10 4.0/10 0.5/10 4K
91 Cleaners and helpers 1.5/10 6.0/10 0.0/10 146K
92 Agricultural, forestry and fishery labourers 1.5/10 6.0/10 0.0/10 8K
94 Food preparation assistants 1.5/10 6.5/10 0.0/10 38K
96 Refuse workers and other elementary workers 1.5/10 6.0/10 0.0/10 21K

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
7.8/10
Disruption arriving (3-7 years)
Recovery Resilience
7.4/10
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 Austria?
General and keyboard clerks has the highest AI exposure score in Austria 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 Austria?
The workforce-weighted average AI exposure score in Austria is 5.1/10, covering 4.5M workers across 40 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Austria?
Armed forces occupations, other ranks has the lowest AI exposure score in Austria 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 Austria?
Based on digital infrastructure readiness, Austria scores 7.8/10 for AI Risk Velocity. Disruption arriving (3-7 years). This is derived from World Bank broadband and secure internet server data.
How well can Austria's workforce adapt to AI disruption?
Austria scores 7.4/10 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 Austria's workforce?
Austria 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 Austria workforce data come from?
The Austria 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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