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Tier B Italy · 2025

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

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

Which jobs are most at risk from AI in Italy? General and keyboard clerks leads at 9.0/10. Workforce average: 4.8/10. Data covers 24.1M workers. Free. Official government data.

Total Workforce
24.1M
workers tracked
Avg AI Exposure
4.8/10
workforce-weighted
Most Exposed
General and keyboard clerks
9.0/10
Safest Occupation
Armed forces occupations, other ranks
1.5/10
Informal Employment
10.9%
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 1.4M
25 Information and communications technology professionals 8.5/10 1.0/10 9.5/10 190K
42 Customer services clerks 8.5/10 4.0/10 8.0/10 522K
43 Numerical and material recording clerks 8.5/10 4.5/10 7.5/10 719K
24 Business and administration professionals 8.0/10 1.5/10 9.0/10 656K
33 Business and administration associate professionals 7.5/10 1.5/10 8.5/10 1.8M
35 Information and communications technicians 7.5/10 2.5/10 8.5/10 386K
21 Science and engineering professionals 7.0/10 2.0/10 8.0/10 659K
26 Legal, social and cultural professionals 7.0/10 1.0/10 7.5/10 601K
12 Administrative and commercial managers 6.5/10 1.5/10 8.0/10 56K
23 Teaching professionals 6.5/10 1.5/10 6.0/10 1.3M
44 Other clerical support workers 6.0/10 4.5/10 4.0/10 198K
31 Science and engineering associate professionals 5.5/10 4.0/10 4.0/10 902K
11 Chief executives, senior officials and legislators 5.0/10 1.0/10 6.5/10 107K
13 Production and specialised services managers 5.0/10 3.5/10 5.0/10 341K
22 Health professionals 5.0/10 2.5/10 2.0/10 395K
32 Health associate professionals 5.0/10 4.0/10 2.0/10 820K
34 Legal, social, cultural and related associate professionals 5.0/10 2.0/10 4.0/10 296K
52 Sales workers 5.0/10 6.0/10 2.5/10 1.8M
14 Hospitality, retail and other services managers 4.5/10 3.0/10 3.0/10 445K
73 Handicraft and printing workers 4.0/10 5.0/10 2.0/10 230K
01 Commissioned armed forces officers 3.5/10 2.0/10 2.0/10 36K
61 Market-oriented skilled agricultural workers 3.5/10 7.0/10 1.0/10 494K
74 Electrical and electronic trades workers 3.5/10 3.5/10 1.5/10 398K
81 Stationary plant and machine operators 3.5/10 8.0/10 1.5/10 620K
72 Metal, machinery and related trades workers 3.0/10 6.5/10 1.0/10 919K
51 Personal service workers 2.5/10 5.0/10 1.0/10 1.4M
62 Market-oriented skilled forestry, fishing and hunting workers 2.5/10 5.5/10 0.5/10 34K
75 Food processing, woodworking, garment and other craft workers 2.5/10 5.5/10 1.5/10 590K
82 Assemblers 2.5/10 8.5/10 0.5/10 167K
83 Drivers and mobile plant operators 2.5/10 7.5/10 0.5/10 712K
02 Non-commissioned armed forces officers 2.0/10 3.0/10 1.0/10 92K
53 Personal care workers 2.0/10 2.5/10 0.5/10 764K
54 Protective services workers 2.0/10 3.5/10 0.5/10 286K
71 Building and related trades workers (excl. electricians) 2.0/10 4.0/10 0.5/10 1.0M
93 Labourers in mining, construction, manufacturing and transport 2.0/10 6.5/10 0.0/10 494K
03 Armed forces occupations, other ranks 1.5/10 4.0/10 0.5/10 115K
91 Cleaners and helpers 1.5/10 6.0/10 0.0/10 976K
92 Agricultural, forestry and fishery labourers 1.5/10 6.0/10 0.0/10 391K
94 Food preparation assistants 1.5/10 6.5/10 0.0/10 100K
95 Street and related sales and service workers 1.5/10 3.0/10 0.0/10 78K
96 Refuse workers and other elementary workers 1.5/10 6.0/10 0.0/10 505K

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
8.0/10
Disruption imminent (1-3 years)
Recovery Resilience
5.8/10
Medium resilience - partial safety net
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 Italy?
General and keyboard clerks has the highest AI exposure score in Italy 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 Italy?
The workforce-weighted average AI exposure score in Italy is 4.8/10, covering 24.1M workers across 42 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Italy?
Armed forces occupations, other ranks has the lowest AI exposure score in Italy 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 Italy?
Based on digital infrastructure readiness, Italy scores 8.0/10 for AI Risk Velocity. Disruption imminent (1-3 years). This is derived from World Bank broadband and secure internet server data.
How well can Italy's workforce adapt to AI disruption?
Italy scores 5.8/10 for Workforce Recovery Capacity. Medium resilience - partial safety net. This combines the World Bank Human Capital Index on-the-job learning score and social protection coverage data.
Is automation good or bad for Italy's workforce?
Italy 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 Italy workforce data come from?
The Italy 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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