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Tier B Portugal · 2025

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

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

Which jobs are most at risk from AI in Portugal? General and keyboard clerks leads at 9.0/10. Workforce average: 4.9/10. Data covers 5.2M workers. Free. Official government data.

Total Workforce
5.2M
workers tracked
Avg AI Exposure
4.9/10
workforce-weighted
Most Exposed
General and keyboard clerks
9.0/10
Safest Occupation
Armed forces occupations, other ranks
1.5/10
Informal Employment
5.3%
of workforce (ILO)

All Occupations Ranked by AI Exposure

42 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 272K
25 Information and communications technology professionals 8.5/10 1.0/10 9.5/10 167K
42 Customer services clerks 8.5/10 4.0/10 8.0/10 106K
43 Numerical and material recording clerks 8.5/10 4.5/10 7.5/10 94K
24 Business and administration professionals 8.0/10 1.5/10 9.0/10 220K
33 Business and administration associate professionals 7.5/10 1.5/10 8.5/10 295K
35 Information and communications technicians 7.5/10 2.5/10 8.5/10 54K
21 Science and engineering professionals 7.0/10 2.0/10 8.0/10 207K
26 Legal, social and cultural professionals 7.0/10 1.0/10 7.5/10 153K
12 Administrative and commercial managers 6.5/10 1.5/10 8.0/10 65K
23 Teaching professionals 6.5/10 1.5/10 6.0/10 271K
44 Other clerical support workers 6.0/10 4.5/10 4.0/10 12K
31 Science and engineering associate professionals 5.5/10 4.0/10 4.0/10 127K
11 Chief executives, senior officials and legislators 5.0/10 1.0/10 6.5/10 33K
13 Production and specialised services managers 5.0/10 3.5/10 5.0/10 109K
22 Health professionals 5.0/10 2.5/10 2.0/10 218K
32 Health associate professionals 5.0/10 4.0/10 2.0/10 63K
34 Legal, social, cultural and related associate professionals 5.0/10 2.0/10 4.0/10 79K
52 Sales workers 5.0/10 6.0/10 2.5/10 380K
14 Hospitality, retail and other services managers 4.5/10 3.0/10 3.0/10 106K
73 Handicraft and printing workers 4.0/10 5.0/10 2.0/10 27K
01 Commissioned armed forces officers 3.5/10 2.0/10 2.0/10 9K
61 Market-oriented skilled agricultural workers 3.5/10 7.0/10 1.0/10 86K
74 Electrical and electronic trades workers 3.5/10 3.5/10 1.5/10 82K
81 Stationary plant and machine operators 3.5/10 8.0/10 1.5/10 159K
72 Metal, machinery and related trades workers 3.0/10 6.5/10 1.0/10 177K
51 Personal service workers 2.5/10 5.0/10 1.0/10 240K
62 Market-oriented skilled forestry, fishing and hunting workers 2.5/10 5.5/10 0.5/10 16K
75 Food processing, woodworking, garment and other craft workers 2.5/10 5.5/10 1.5/10 150K
82 Assemblers 2.5/10 8.5/10 0.5/10 23K
83 Drivers and mobile plant operators 2.5/10 7.5/10 0.5/10 209K
02 Non-commissioned armed forces officers 2.0/10 3.0/10 1.0/10 8K
53 Personal care workers 2.0/10 2.5/10 0.5/10 248K
54 Protective services workers 2.0/10 3.5/10 0.5/10 110K
71 Building and related trades workers (excl. electricians) 2.0/10 4.0/10 0.5/10 224K
93 Labourers in mining, construction, manufacturing and transport 2.0/10 6.5/10 0.0/10 93K
03 Armed forces occupations, other ranks 1.5/10 4.0/10 0.5/10 6K
91 Cleaners and helpers 1.5/10 6.0/10 0.0/10 212K
92 Agricultural, forestry and fishery labourers 1.5/10 6.0/10 0.0/10 17K
94 Food preparation assistants 1.5/10 6.5/10 0.0/10 46K
95 Street and related sales and service workers 1.5/10 3.0/10 0.0/10 6K
96 Refuse workers and other elementary workers 1.5/10 6.0/10 0.0/10 67K

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
7.0/10
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 Portugal?
General and keyboard clerks has the highest AI exposure score in Portugal 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 Portugal?
The workforce-weighted average AI exposure score in Portugal is 4.9/10, covering 5.2M workers across 42 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Portugal?
Armed forces occupations, other ranks has the lowest AI exposure score in Portugal 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 Portugal?
Based on digital infrastructure readiness, Portugal 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 Portugal's workforce adapt to AI disruption?
Portugal scores 7.0/10 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 Portugal's workforce?
Portugal 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 Portugal workforce data come from?
The Portugal 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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