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Tier A Poland · 2025

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

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

Which jobs are most at risk from AI in Poland? General and keyboard clerks leads at 9.0/10. Workforce average: 5.0/10. Data covers 17.1M workers. Free. Official government data.

Total Workforce
17.1M
workers tracked
Avg AI Exposure
5.0/10
workforce-weighted
Most Exposed
General and keyboard clerks
9.0/10
Safest Occupation
Armed forces occupations, other ranks
1.5/10
Informal Employment
14.6%
of workforce (ILO)

All Occupations Ranked by AI Exposure

41 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
41 General and keyboard clerks 9.0/10 2.0/10 9.0/10 617K $14,666
25 Information and communications technology professionals 8.5/10 1.0/10 9.5/10 520K $22,566
42 Customer services clerks 8.5/10 4.0/10 8.0/10 143K $14,666
43 Numerical and material recording clerks 8.5/10 4.5/10 7.5/10 519K $14,666
24 Business and administration professionals 8.0/10 1.5/10 9.0/10 1.1M $22,566
33 Business and administration associate professionals 7.5/10 1.5/10 8.5/10 1.1M $18,699
35 Information and communications technicians 7.5/10 2.5/10 8.5/10 83K $18,699
21 Science and engineering professionals 7.0/10 2.0/10 8.0/10 598K $22,566
26 Legal, social and cultural professionals 7.0/10 1.0/10 7.5/10 386K $22,566
12 Administrative and commercial managers 6.5/10 1.5/10 8.0/10 342K $33,846
23 Teaching professionals 6.5/10 1.5/10 6.0/10 904K $22,566
44 Other clerical support workers 6.0/10 4.5/10 4.0/10 70K $14,666
31 Science and engineering associate professionals 5.5/10 4.0/10 4.0/10 635K $18,699
11 Chief executives, senior officials and legislators 5.0/10 1.0/10 6.5/10 230K $33,846
13 Production and specialised services managers 5.0/10 3.5/10 5.0/10 380K $33,846
22 Health professionals 5.0/10 2.5/10 2.0/10 614K $22,566
32 Health associate professionals 5.0/10 4.0/10 2.0/10 211K $18,699
34 Legal, social, cultural and related associate professionals 5.0/10 2.0/10 4.0/10 286K $18,699
52 Sales workers 5.0/10 6.0/10 2.5/10 1.2M $11,841
14 Hospitality, retail and other services managers 4.5/10 3.0/10 3.0/10 296K $33,846
73 Handicraft and printing workers 4.0/10 5.0/10 2.0/10 80K $14,666
01 Commissioned armed forces officers 3.5/10 2.0/10 2.0/10 30K N/A
61 Market-oriented skilled agricultural workers 3.5/10 7.0/10 1.0/10 953K N/A
74 Electrical and electronic trades workers 3.5/10 3.5/10 1.5/10 238K $14,666
81 Stationary plant and machine operators 3.5/10 8.0/10 1.5/10 462K $15,915
72 Metal, machinery and related trades workers 3.0/10 6.5/10 1.0/10 706K $14,666
51 Personal service workers 2.5/10 5.0/10 1.0/10 496K $11,841
62 Market-oriented skilled forestry, fishing and hunting workers 2.5/10 5.5/10 0.5/10 18K N/A
75 Food processing, woodworking, garment and other craft workers 2.5/10 5.5/10 1.5/10 488K $14,666
82 Assemblers 2.5/10 8.5/10 0.5/10 138K $15,915
83 Drivers and mobile plant operators 2.5/10 7.5/10 0.5/10 960K $15,915
02 Non-commissioned armed forces officers 2.0/10 3.0/10 1.0/10 51K N/A
53 Personal care workers 2.0/10 2.5/10 0.5/10 231K $11,841
54 Protective services workers 2.0/10 3.5/10 0.5/10 227K $11,841
71 Building and related trades workers (excl. electricians) 2.0/10 4.0/10 0.5/10 907K $14,666
93 Labourers in mining, construction, manufacturing and transport 2.0/10 6.5/10 0.0/10 228K $11,674
03 Armed forces occupations, other ranks 1.5/10 4.0/10 0.5/10 81K N/A
91 Cleaners and helpers 1.5/10 6.0/10 0.0/10 333K $11,674
92 Agricultural, forestry and fishery labourers 1.5/10 6.0/10 0.0/10 40K $11,674
94 Food preparation assistants 1.5/10 6.5/10 0.0/10 84K $11,674
96 Refuse workers and other elementary workers 1.5/10 6.0/10 0.0/10 93K $11,674

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), 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
10.0/10
Disruption imminent (1-3 years)
Recovery Resilience
7.5/10
High resilience - workers can pivot
Sovereign Buffer
7.9/10
Strong buffer - government can support transitions
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 Poland?
General and keyboard clerks has the highest AI exposure score in Poland 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 Poland?
The workforce-weighted average AI exposure score in Poland is 5.0/10, covering 17.1M workers across 41 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Poland?
Armed forces occupations, other ranks has the lowest AI exposure score in Poland 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 Poland?
Based on digital infrastructure readiness, Poland 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 Poland's workforce adapt to AI disruption?
Poland scores 7.5/10 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 Poland?
The highest-paid occupation in Poland is Chief executives, senior officials and legislators at $33,846 per year. The lowest-paid is Cleaners and helpers at $11,674 per year.
Is automation good or bad for Poland's workforce?
Poland 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 Poland workforce data come from?
The Poland data comes from: Eurostat lfsa_egai2d (Eurostat open dissemination policy); 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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