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Tier C Timor-Leste · 2022

AI Job Risk in Timor-Leste - Which Occupations Are Most at Risk?

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

Which jobs are most at risk from AI in Timor-Leste? Clerical support workers leads at 8.5/10. Workforce average: 3.3/10. Data covers 357K workers. Free. Official government data.

Total Workforce
357K
workers tracked
Avg AI Exposure
3.3/10
workforce-weighted
Most Exposed
Clerical support workers
8.5/10
Safest Occupation
Elementary occupations
2.0/10
Informal Employment
80.6%
of workforce (ILO)

All Occupations Ranked by AI Exposure

10 ISCO-08 occupation groups · data year 2022 · 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 3K
2 Professionals 6.5/10 1.5/10 7.5/10 20K
1 Managers 5.5/10 1.5/10 7.0/10 2K
3 Technicians and associate professionals 5.5/10 3.5/10 4.5/10 9K
5 Service and sales workers 3.5/10 4.5/10 1.5/10 60K
6 Skilled agricultural, forestry and fishery workers 3.0/10 6.5/10 1.0/10 199K
8 Plant and machine operators and assemblers 3.0/10 7.5/10 1.0/10 28K
0 Armed forces occupations 2.5/10 3.0/10 1.0/10 3K
7 Craft and related trades workers 2.5/10 4.5/10 1.0/10 14K
9 Elementary occupations 2.0/10 5.5/10 0.5/10 19K

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
0.5/10
Disruption distant (12+ years)
Recovery Resilience
3.2/10
Low resilience - workers at risk of being trapped
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.

Workforce Composition Trend

Employment share by occupation group, 2010-2022 - ILO ILOSTAT (CC BY 4.0). Lines show share of total employment; color indicates AI exposure level.

0%10%20%30%40% 201020132015201620212022 +40.1pp-41.5pp Agriculture (55.8%)Service & Sales (16.8%)Operators (7.9%)Professionals (5.6%)Elementary (5.3%)Trades (3.9%)Technicians (2.4%)Armed forces occup (0.8%)Clerical (0.8%)Managers (0.6%)
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$1,341 (2025)
Population1.4M (2025)
Labour force participation67.0% (female: 61.7%) (2025)
Unemployment rate1.6% (2025)
Poverty ($3/day)44.0% (2014)
Gini inequality index28.7 (2014)
Adult literacy rate69.4% (2022)
Life expectancy67.9 years (2024)

Human Development Index

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

HDI score0.566 (Medium)
Global HDI rank#155
GNI per capita (PPP)$1,629
Life expectancy69.1 years
Expected years of schooling13.2 years
Mean years of schooling6.0 years

Frequently Asked Questions

Which job is most at risk from AI in Timor-Leste?
Clerical support workers has the highest AI exposure score in Timor-Leste 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 Timor-Leste?
The workforce-weighted average AI exposure score in Timor-Leste is 3.3/10, covering 357K workers across 10 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Timor-Leste?
Elementary occupations has the lowest AI exposure score in Timor-Leste 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 Timor-Leste?
Based on digital infrastructure readiness, Timor-Leste scores 0.5/10 for AI Risk Velocity. Disruption distant (12+ years). This is derived from World Bank broadband and secure internet server data.
How well can Timor-Leste's workforce adapt to AI disruption?
Timor-Leste scores 3.2/10 for Workforce Recovery Capacity. Low resilience - workers at risk of being trapped. This combines the World Bank Human Capital Index on-the-job learning score and social protection coverage data.
Is automation good or bad for Timor-Leste's workforce?
Timor-Leste 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 Timor-Leste workforce data come from?
The Timor-Leste 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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