AI Job Risk in Maldives 2026 - Which Occupations Are Most at Risk?

Name: Maldives AI Job Risk and Workforce Data
Creator: WorldJobsData
License: https://creativecommons.org/licenses/by/4.0/

All Occupations Ranked by AI Exposure

10 ISCO-08 occupation groups · data year 2019 · 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	15K
2	Professionals	6.5/10	1.5/10	7.5/10	26K
1	Managers	5.5/10	1.5/10	7.0/10	15K
3	Technicians and associate professionals	5.5/10	3.5/10	4.5/10	30K
5	Service and sales workers	3.5/10	4.5/10	1.5/10	24K
6	Skilled agricultural, forestry and fishery workers	3.0/10	6.5/10	1.0/10	41K
8	Plant and machine operators and assemblers	3.0/10	7.5/10	1.0/10	6K
0	Armed forces occupations	2.5/10	3.0/10	1.0/10	2K
7	Craft and related trades workers	2.5/10	4.5/10	1.0/10	17K
9	Elementary occupations	2.0/10	5.5/10	0.5/10	15K

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

3.2/10

Disruption delayed (7-12 years)

Recovery Resilience

4.5/10

Medium resilience - partial safety net

Sovereign Buffer

2.9/10

Weak buffer - mass displacement = crisis

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 Maldives?

Clerical support workers has the highest AI exposure score in Maldives 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 Maldives?

The workforce-weighted average AI exposure score in Maldives is 4.4/10, covering 192K workers across 10 occupation groups. Each group is weighted by its share of total employment.

Which jobs are safest from AI in Maldives?

Elementary occupations has the lowest AI exposure score in Maldives 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 Maldives?

Based on digital infrastructure readiness, Maldives scores 3.2/10 for AI Risk Velocity. Disruption delayed (7-12 years). This is derived from World Bank broadband and secure internet server data.

How well can Maldives's workforce adapt to AI disruption?

Maldives scores 4.5/10 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 Maldives's workforce?

Maldives 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 Maldives workforce data come from?

The Maldives 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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AI Job Risk in Maldives - Which Occupations Are Most at Risk?

All Occupations Ranked by AI Exposure

AI Disruption Context

Frequently Asked Questions

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