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Tier C Tanzania, United Republic of · 2024

AI Job Risk in Tanzania, United Republic of - Which Occupations Are Most at Risk?

The short answer: Clerical support workers score 8.5/10 - the highest AI exposure in Tanzania, United Republic of.

Which jobs are most at risk from AI in Tanzania, United Republic of? Clerical support workers leads at 8.5/10. Workforce average: 2.9/10. Data covers 31.0M workers. Free. Official government data.

Total Workforce
31.0M
workers tracked
Avg AI Exposure
2.9/10
workforce-weighted
Most Exposed
Clerical support workers
8.5/10
Safest Occupation
Elementary occupations
2.0/10
Informal Employment
90.8%
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 137K
2 Professionals 6.5/10 1.5/10 7.5/10 503K
1 Managers 5.5/10 1.5/10 7.0/10 139K
3 Technicians and associate professionals 5.5/10 3.5/10 4.5/10 569K
5 Service and sales workers 3.5/10 4.5/10 1.5/10 1.8M
6 Skilled agricultural, forestry and fishery workers 3.0/10 6.5/10 1.0/10 16.0M
8 Plant and machine operators and assemblers 3.0/10 7.5/10 1.0/10 861K
0 Armed forces occupations 2.5/10 3.0/10 1.0/10 9K
7 Craft and related trades workers 2.5/10 4.5/10 1.0/10 2.3M
9 Elementary occupations 2.0/10 5.5/10 0.5/10 8.8M

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
0.1/10
Disruption distant (12+ years)
Recovery Resilience
6.3/10
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 Tanzania, United Republic of?
Clerical support workers has the highest AI exposure score in Tanzania, United Republic of 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 Tanzania, United Republic of?
The workforce-weighted average AI exposure score in Tanzania, United Republic of is 2.9/10, covering 31.0M workers across 10 occupation groups. Each group is weighted by its share of total employment.
Which jobs are safest from AI in Tanzania, United Republic of?
Elementary occupations has the lowest AI exposure score in Tanzania, United Republic of 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 Tanzania, United Republic of?
Based on digital infrastructure readiness, Tanzania, United Republic of scores 0.1/10 for AI Risk Velocity. Disruption distant (12+ years). This is derived from World Bank broadband and secure internet server data.
How well can Tanzania, United Republic of's workforce adapt to AI disruption?
Tanzania, United Republic of scores 6.3/10 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 Tanzania, United Republic of's workforce?
Tanzania, United Republic of 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 Tanzania, United Republic of workforce data come from?
The Tanzania, United Republic of 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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