Key findings
- Agriculture at 67.7% (461,290 workers) is the largest single occupation group in Eritrea - the highest agricultural share in this batch. Eritrea's highland agriculture is dominated by smallholder subsistence farming of teff, sorghum, barley, and vegetables. The lowland areas include nomadic and semi-nomadic herding communities. This agricultural structure is characteristic of a pre-commercialised food system where market integration is limited.
- Clerical support workers score 8.5/10 on AI exposure but represent only 0.80% of employment - 5,450 workers. These are government ministry staff in Asmara and clerks in state-owned enterprises (Eritrea's economy is highly statist, with the ruling PFDJ party controlling major commercial enterprises). The numbers are extremely small.
- Professionals at 6.5/10 cover 14,990 workers - 2.2% of employment. Eritrea's professional class is concentrated in Asmara and includes public school teachers, nurses and doctors in government hospitals, military officers in the EPDF, and technical staff in state enterprises. Brain drain through emigration has been severe - Eritrea has one of the world's highest emigration rates relative to population (UNHCR data).
- Service and sales workers at 3.5/10 cover 67,430 workers - 9.9% of employment. Asmara's modest retail and hospitality sector, petty trade, and informal service workers are included here. The tourism sector, while historically modest, has been effectively closed since the early 2020s.
- The weighted average of 3.36/10 is among the lowest in this batch. This is a direct consequence of the 67.7% agricultural share - a structural feature that protects most Eritrean workers from AI disruption risk while reflecting deep challenges of economic development and opportunity.
682k workers, ILO modelled estimates 2025
Employment data comes from ILO ILOSTAT (CC BY 4.0), ILO modelled estimates 2025, using ISCO-08 major group classifications. The data covers approximately 681,770 Eritrea workers. Eritrea's population is estimated at approximately 3.5 million (World Bank estimate, noting significant uncertainty due to emigration), implying a labour force participation rate of around 19% - consistent with a country that has experienced very high out-migration over the past two decades.
Eritrea became independent from Ethiopia in 1993 after a 30-year liberation war. Since 2001, the ruling People's Front for Democracy and Justice (PFDJ) has operated one of the most closed political systems in the world. National service - mandatory military and civilian service of indefinite duration - has been a major driver of emigration, as hundreds of thousands of Eritreans have fled to Sudan, Ethiopia (prior to the Tigray conflict), Europe, and elsewhere. This emigration has significantly reduced the domestic labour force, particularly among educated young adults.
The economy is heavily statist. The PFDJ controls a large share of commercial activity through party-owned enterprises in construction, retail, and services. International investment has been limited by sanctions and the closed political environment, though some mining activity (particularly Bisha gold mine, operated by a Eritrean government - Canadian mining company joint venture) has provided some foreign exchange earnings.
The most AI-exposed jobs in Eritrea
Clerical support workers score 8.5/10 on AI exposure and cover only 5,450 workers - 0.80% of employment and the smallest clerical cohort in this batch by percentage. These workers are found almost exclusively in Asmara: in government ministries (Finance, Trade, Education, Health), in the offices of state enterprises, and in the small banking sector (Bank of Eritrea, Housing and Commerce Bank of Eritrea, Commercial Bank of Eritrea). Given the extremely statist nature of the economy, virtually all formal clerical employment is directly or indirectly government-related.
Professionals at 6.5/10 cover 14,990 workers - a 2.2% share. This includes public school teachers (Eritrea maintains a public school system, though higher education access has been restricted - Asmara University was closed in 2006 and replaced with a network of colleges tied to national service), medical professionals in government hospitals and clinics, and technical staff in the PFDJ's commercial enterprises. Significant numbers of Eritrean professionals have emigrated, reducing the domestic professional pool below what would be expected at Eritrea's population level.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Clerical support workers (4) | 8.5/10 | 5.5k | 0.8% |
| Professionals (2) | 6.5/10 | 15.0k | 2.2% |
| Managers (1) | 5.5/10 | 5.5k | 0.8% |
| Technicians and assoc. professionals (3) | 5.5/10 | 7.5k | 1.1% |
| Service and sales workers (5) | 3.5/10 | 67.4k | 9.9% |
| Skilled agricultural workers (6) | 3.0/10 | 461.3k | 67.7% |
| Plant and machine operators (8) | 3.0/10 | 5.5k | 0.8% |
| Armed forces (0) | 2.5/10 | 2.5k | 0.4% |
| Craft and related trades workers (7) | 2.5/10 | 22.1k | 3.2% |
| Elementary occupations (9) | 2.0/10 | 92.6k | 13.6% |
Eritrea's 67.7% agricultural share reflects a subsistence farming economy that predates commercialisation. AI disruption requires digital infrastructure, formal employment relationships, and capital investment - none of which are prevalent in Eritrea's highland farming communities.
The safest jobs in Eritrea
Elementary occupations score 2.0/10 on AI exposure, covering 92,640 workers - 13.6% of the workforce. This includes informal market workers in Asmara's Medeber market area, construction labourers, domestic workers, and general informal-sector workers in provincial towns. Agricultural workers at 3.0/10 form the dominant group at 461,290 workers - 67.7% of all employment. Smallholder farming in highland Eritrea involves highly context-specific knowledge of local soils, rainfall patterns, and varieties - tasks that are structurally resistant to AI substitution regardless of technology development timelines.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Elementary occupations (9) | 2.0/10 | 92.6k | 13.6% |
| Craft and related trades workers (7) | 2.5/10 | 22.1k | 3.2% |
| Skilled agricultural workers (6) | 3.0/10 | 461.3k | 67.7% |
What this means for Eritrea workers
For the 81.3% of Eritrean workers in agriculture or elementary occupations, AI disruption is effectively a non-issue in any near-term horizon. The binding constraints on Eritrean economic welfare are access to food security, political freedom, the national service system, and remittance income from the diaspora - not automation risk. The diaspora's 2% tax (Eritrea's government levies a 2% income tax on diaspora earnings) generates significant remittance flows that supplement domestic incomes.
For the small professional and clerical workforce in Asmara, AI tools are essentially inaccessible in practical terms. Internet penetration in Eritrea is among the world's lowest (estimated at under 10% by ITU data) and access is heavily controlled. The digital infrastructure prerequisites for AI adoption simply do not exist for most of the formal workforce. The closed political environment and lack of foreign investment further limit technology adoption even in state enterprises.
Eritrea's long-term economic challenge is not AI disruption - it is creating the conditions for economic diversification, political opening, and the return of emigrant professionals that could rebuild its institutional capacity. The country's mineral wealth (gold, copper, zinc) represents potential development capital that has been underutilised due to the investment climate.
See Eritrea's full occupation breakdown
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Methodology
Employment figures are from ILO ILOSTAT (CC BY 4.0), ILO modelled estimates 2025, using ISCO-08 major group classifications. Data year: 2025 (modelled). Covers approximately 681,770 Eritrea workers. Independent national survey data from Eritrea is not publicly available. AI exposure scores are research-based estimates per ISCO-08 group, informed by Frey-Osborne (Oxford), OECD, and IMF studies on task-level automation.
Frequently asked questions
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Data sources
- ILO ILOSTAT - Employment by sex, occupation (ISCO-08), Eritrea ILO modelled estimates 2025 (CC BY 4.0)
- Frey, C.B. and Osborne, M.A. (2017). The future of employment. Technological Forecasting and Social Change.
- OECD - The Future of Work and Skills
- IMF - Gen-AI: Artificial Intelligence and the Future of Work (2024)