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32.4M
Total workers
4.1/10
Avg AI exposure
9.0/10
Peak AI score
10.0
Risk velocity
5.2
Resilience
--
Avg wage

Explore Occupations - 6 Interactive Views

Switch chart type, change metric, click any occupation for full breakdown. Data from official government sources.

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Sorted highest to lowest. Click any bar for full breakdown.

Rectangle size = worker count. Colour = score. Click any cell for breakdown.

Each card shows all 4 scores. Click for full breakdown.

All occupations, all 4 scores. Click row for full breakdown.

Occupation Workers AI Robotics WFH Offshoring Wage Female %

Bubble size = worker count. Click for breakdown.

Bubble size = worker count. Colour = AI risk. Click for breakdown.

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 600K
25 Information and communications technology professionals 8.5/10 1.0/10 9.5/10 189K
42 Customer services clerks 8.5/10 4.0/10 8.0/10 475K
43 Numerical and material recording clerks 8.5/10 4.5/10 7.5/10 1.0M
24 Business and administration professionals 8.0/10 1.5/10 9.0/10 482K
33 Business and administration associate professionals 7.5/10 1.5/10 8.5/10 949K
35 Information and communications technicians 7.5/10 2.5/10 8.5/10 90K
21 Science and engineering professionals 7.0/10 2.0/10 8.0/10 672K
26 Legal, social and cultural professionals 7.0/10 1.0/10 7.5/10 553K
12 Administrative and commercial managers 6.5/10 1.5/10 8.0/10 413K
23 Teaching professionals 6.5/10 1.5/10 6.0/10 1.5M
44 Other clerical support workers 6.0/10 4.5/10 4.0/10 245K
31 Science and engineering associate professionals 5.5/10 4.0/10 4.0/10 692K
11 Chief executives, senior officials and legislators 5.0/10 1.0/10 6.5/10 210K
13 Production and specialised services managers 5.0/10 3.5/10 5.0/10 644K
22 Health professionals 5.0/10 2.5/10 2.0/10 729K
32 Health associate professionals 5.0/10 4.0/10 2.0/10 333K
34 Legal, social, cultural and related associate professionals 5.0/10 2.0/10 4.0/10 292K
52 Sales workers 5.0/10 6.0/10 2.5/10 2.9M
14 Hospitality, retail and other services managers 4.5/10 3.0/10 3.0/10 570K
73 Handicraft and printing workers 4.0/10 5.0/10 2.0/10 369K
01 Commissioned armed forces officers 3.5/10 2.0/10 2.0/10 24K
61 Market-oriented skilled agricultural workers 3.5/10 7.0/10 1.0/10 3.4M
74 Electrical and electronic trades workers 3.5/10 3.5/10 1.5/10 501K
81 Stationary plant and machine operators 3.5/10 8.0/10 1.5/10 1.0M
72 Metal, machinery and related trades workers 3.0/10 6.5/10 1.0/10 1.2M
51 Personal service workers 2.5/10 5.0/10 1.0/10 1.6M
62 Market-oriented skilled forestry, fishing and hunting workers 2.5/10 5.5/10 0.5/10 41K
75 Food processing, woodworking, garment and other craft workers 2.5/10 5.5/10 1.5/10 1.0M
82 Assemblers 2.5/10 8.5/10 0.5/10 195K
83 Drivers and mobile plant operators 2.5/10 7.5/10 0.5/10 1.8M
02 Non-commissioned armed forces officers 2.0/10 3.0/10 1.0/10 170K
53 Personal care workers 2.0/10 2.5/10 0.5/10 747K
54 Protective services workers 2.0/10 3.5/10 0.5/10 1.0M
71 Building and related trades workers (excl. electricians) 2.0/10 4.0/10 0.5/10 1.2M
93 Labourers in mining, construction, manufacturing and transport 2.0/10 6.5/10 0.0/10 1.4M
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 1.2M
92 Agricultural, forestry and fishery labourers 1.5/10 6.0/10 0.0/10 1.0M
94 Food preparation assistants 1.5/10 6.5/10 0.0/10 536K
95 Street and related sales and service workers 1.5/10 3.0/10 0.0/10 64K
96 Refuse workers and other elementary workers 1.5/10 6.0/10 0.0/10 371K

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, 2023).

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
5.2/10
Medium resilience - partial safety net
Sovereign Buffer
6.3/10
Moderate buffer - limited retraining capacity
Demographic Alignment
Balanced impact
Demographic profile shows mixed automation effects

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 Türkiye?
General and keyboard clerks has the highest AI exposure score in Türkiye 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 Türkiye?
The workforce-weighted average AI exposure score in Türkiye is 4.1/10, covering 32.4M workers across 42 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Türkiye?
Armed forces occupations, other ranks has the lowest AI exposure score in Türkiye 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 Türkiye?
Based on digital infrastructure readiness, Türkiye 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 Türkiye's workforce adapt to AI disruption?
Türkiye scores 5.2/10 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 Türkiye's workforce?
Türkiye is classified as 'Balanced impact'. Demographic profile shows mixed automation effects. This is based on World Bank old-age dependency ratio and fertility rate data.
Where does the Türkiye workforce data come from?
The Türkiye data comes from: Eurostat lfsa_egai2d (Eurostat open dissemination policy); OECD Average Annual Wages (USD PPP, 2023). All data is from official government or intergovernmental sources and is freely available at worldjobsdata.com.
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