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

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

All Occupations Ranked by AI Exposure

7 ISCO-08 occupation groups · data year 2023 · 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	4K
2	Professionals	6.5/10	1.5/10	7.5/10	178K
1	Managers	5.5/10	1.5/10	7.0/10	68K
3	Technicians and associate professionals	5.5/10	3.5/10	4.5/10	46K
5	Service and sales workers	3.5/10	4.5/10	1.5/10	926K
8	Plant and machine operators and assemblers	3.0/10	7.5/10	1.0/10	4K
7	Craft and related trades workers	2.5/10	4.5/10	1.0/10	4K

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

0.0/10

Disruption distant (12+ years)

Recovery Resilience

4.7/10

Medium resilience - partial safety net

Demographic Alignment

Entry-level job destroyer

Young population depends on entry-level jobs automation eliminates

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 South Sudan?

Clerical support workers has the highest AI exposure score in South Sudan 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 South Sudan?

The workforce-weighted average AI exposure score in South Sudan is 4.1/10, covering 1.2M workers across 7 occupation groups. Each group is weighted by its share of total employment.

Which jobs are safest from AI in South Sudan?

Craft and related trades workers has the lowest AI exposure score in South Sudan at 2.5/10. These roles require physical presence or manual dexterity in unpredictable environments that current AI cannot automate at scale.

When will AI disruption arrive in South Sudan?

Based on digital infrastructure readiness, South Sudan scores 0.0/10 for AI Risk Velocity. Disruption distant (12+ years). This is derived from World Bank broadband and secure internet server data.

How well can South Sudan's workforce adapt to AI disruption?

South Sudan scores 4.7/10 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 South Sudan's workforce?

South Sudan is classified as 'Entry-level job destroyer'. Young population depends on entry-level jobs automation eliminates. This is based on World Bank old-age dependency ratio and fertility rate data.

Where does the South Sudan workforce data come from?

The South Sudan 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 South Sudan - Which Occupations Are Most at Risk?

All Occupations Ranked by AI Exposure

AI Disruption Context

Frequently Asked Questions

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