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Tier C Thailand · 2024

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

The short answer: Clerical support workers score 8.5/10 - the highest AI exposure in Thailand.

Which jobs are most at risk from AI in Thailand? Clerical support workers leads at 8.5/10. Workforce average: 3.6/10. Data covers 39.7M workers. Free. Official government data.

Total Workforce
39.7M
workers tracked
Avg AI Exposure
3.6/10
workforce-weighted
Most Exposed
Clerical support workers
8.5/10
Safest Occupation
Elementary occupations
2.0/10
Informal Employment
63.2%
of workforce (ILO)

All Occupations Ranked by AI Exposure

10 ISCO-08 occupation groups · data year 2024 · Tier C ILO employment data with gender breakdown and time-series 2010-2025

ISCO Occupation Group AI Exposure Robotics Risk WFH Potential Employment
4 Clerical support workers 8.5/10 2.5/10 8.5/10 1.8M
2 Professionals 6.5/10 1.5/10 7.5/10 2.2M
1 Managers 5.5/10 1.5/10 7.0/10 1.3M
3 Technicians and associate professionals 5.5/10 3.5/10 4.5/10 1.9M
5 Service and sales workers 3.5/10 4.5/10 1.5/10 8.7M
6 Skilled agricultural, forestry and fishery workers 3.0/10 6.5/10 1.0/10 10.4M
8 Plant and machine operators and assemblers 3.0/10 7.5/10 1.0/10 4.2M
0 Armed forces occupations 2.5/10 3.0/10 1.0/10 66K
7 Craft and related trades workers 2.5/10 4.5/10 1.0/10 4.3M
9 Elementary occupations 2.0/10 5.5/10 0.5/10 4.8M

AI/robotics/WFH scores are research-based estimates (Frey-Osborne, OECD, IMF 2024), not official statistics. Hover occupation name for rationale. Employment from: ILO ILOSTAT (CC BY 4.0).

AI Disruption Context

World Bank indicators showing when disruption will arrive and how resilient the workforce is.

Risk Velocity
6.3/10
Disruption arriving (3-7 years)
Recovery Resilience
7.6/10
High resilience - workers can pivot
Sovereign Buffer
7.6/10
Strong buffer - government can support transitions
Demographic Alignment
Transition economy
Moderate aging - automation helps productivity but may strain some sectors

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.

Workforce Composition Trend

Employment share by occupation group, 2011-2024 - ILO ILOSTAT (CC BY 4.0). Lines show share of total employment; color indicates AI exposure level.

0%10%20%30%40% 20112013201520172019202120232024 +3.2pp-12.5pp Agriculture (26.3%)Service & Sales (21.8%)Elementary (12.2%)Trades (10.8%)Operators (10.7%)Professionals (5.5%)Technicians (4.7%)Clerical (4.6%)Managers (3.3%)Armed forces occup (0.2%)
High AI exposure (7+) Medium (5-7) Low (<5)

Source: ILO ILOSTAT Employment by sex and occupation (ISCO-08), CC BY 4.0. Share = group employment / total employment. Highlighted lines show largest gainer and loser.

Economy at a Glance

World Bank Open Data (CC BY 4.0) - most recent available year per indicator.

GDP per capita$8,057 (2025)
Population71.6M (2025)
Labour force participation66.7% (female: 59.0%) (2025)
Unemployment rate0.8% (2025)
Poverty ($3/day)0.0% (2024)
Gini inequality index33.3 (2024)
Adult literacy rate91.1% (2022)
Life expectancy76.6 years (2024)

Human Development Index

UNDP Human Development Report 2022 (CC BY 3.0 IGO).

HDI score0.803 (Very High)
Global HDI rank#66
GNI per capita (PPP)$16,887
Life expectancy79.7 years
Expected years of schooling15.6 years
Mean years of schooling8.8 years

Frequently Asked Questions

Which job is most at risk from AI in Thailand?
Clerical support workers has the highest AI exposure score in Thailand at 8.5/10. This occupation involves routine information handling that current AI systems can perform effectively.
What is the average AI exposure score in Thailand?
The workforce-weighted average AI exposure score in Thailand is 3.6/10, covering 39.7M workers across 10 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Thailand?
Elementary occupations has the lowest AI exposure score in Thailand at 2.0/10. These roles require physical presence or manual dexterity in unpredictable environments that current AI cannot automate at scale.
When will AI disruption arrive in Thailand?
Based on digital infrastructure readiness, Thailand scores 6.3/10 for AI Risk Velocity. Disruption arriving (3-7 years). This is derived from World Bank broadband and secure internet server data.
How well can Thailand's workforce adapt to AI disruption?
Thailand scores 7.6/10 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 Thailand's workforce?
Thailand is classified as 'Transition economy'. Moderate aging - automation helps productivity but may strain some sectors. This is based on World Bank old-age dependency ratio and fertility rate data.
Where does the Thailand workforce data come from?
The Thailand data comes from: ILO ILOSTAT (CC BY 4.0). All data is from official government or intergovernmental sources and is freely available at worldjobsdata.com.
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