Key findings
- Agriculture at 50.8% (330,360 workers) is Liberia's dominant employment category. This encompasses both smallholder subsistence farming (rice, cassava, vegetables) in rural counties and workers on large rubber plantations - Liberia has some of Africa's largest rubber plantations, including the Firestone Natural Rubber Company plantation in Margibi County, which has operated since 1926 and historically employed tens of thousands of tappers. Rubber remains one of Liberia's top export commodities alongside iron ore and timber.
- Service and sales workers at 18.4% (119,660 workers) score 3.5/10 on AI exposure. This encompasses Monrovia's petty trade, informal market economy centred on Waterside Market, restaurant and food vendors, transport workers, and the growing mobile money agent network. Greater Monrovia concentrates the large majority of formal service activity, with Buchanan and Gbarnga as secondary centres.
- Professionals at 5.0% (32,520 workers) score 6.5/10 on AI exposure. Liberia's professional workforce is heavily shaped by the post-conflict reconstruction period: teachers recruited to rebuild the public school system after years of conflict-related disruption, medical professionals in government hospitals and international NGO clinics, and NGO programme staff across UNMIL's successor missions and bilateral aid agencies. The US government (USAID) and several European governments maintain substantial development programming in Liberia, employing local professionals.
- Clerical support workers score 8.5/10 and represent 1.2% of employment (7,800 workers). These are administrative staff in Monrovia government ministries, the Central Bank of Liberia, commercial banks (Ecobank Liberia, GT Bank, LBDI), and NGO back offices. The formal financial sector has grown since 2017, and the Central Bank of Liberia's digital payments push has been a notable development in the post-2017 period.
- The weighted average of 3.66/10 is the second-highest in this batch (after Palestine at 3.72/10). This reflects Liberia's somewhat higher professional and service sector shares compared to more purely agricultural economies like Eritrea or Guinea-Bissau.
650k workers, LISGIS Labour Force Survey 2017
Employment data comes from ILO ILOSTAT (CC BY 4.0), based on the Liberia Institute of Statistics and Geo-Information Services (LISGIS) Labour Force Survey 2017, using ISCO-08 major group classifications. The data covers approximately 650,320 Liberia workers. Liberia's population is estimated at approximately 5.5 million (World Bank 2025 estimate), with a young age structure reflecting high fertility rates and a population that nearly doubled in the two decades since the civil war ended in 2003.
Liberia's economic history is shaped by its unusual founding - established in 1847 by freed American and Caribbean slaves, with a constitution modeled on the United States - and by decades of authoritarian rule under William Tubman and William Tolbert, the 1980 coup by Samuel Doe, and the subsequent civil wars (1989-1997 and 1999-2003) that destroyed most of Liberia's formal institutional infrastructure and displaced millions. The post-war reconstruction period under Presidents Ellen Johnson Sirleaf (2006-2018) and George Weah (2018-2024) rebuilt basic state functions but left Liberia with one of the world's lowest per-capita incomes.
The extractive economy - rubber, iron ore, timber, gold - generates export revenues but limited employment. Firestone's plantation alone employs thousands of rubber tappers under conditions that have been subject to international scrutiny. Iron ore mining at the Bong Mines (EMCO) and Nimba Range (ArcelorMittal) provides some formal employment in the interior. These sectors operate largely outside the formal labour market tracked by the LISGIS survey.
The most AI-exposed jobs in Liberia
Clerical support workers score 8.5/10 on AI exposure, covering 7,800 workers - 1.2% of employment. These workers are almost entirely in Monrovia, serving government ministries (Finance and Development Planning, Commerce, Health), the Central Bank of Liberia, commercial banks, and NGO back offices. Document processing, data entry, and administrative management tasks in these environments are the type of work where AI tools are already displacing junior staff in comparable settings in West Africa and globally.
Professionals at 6.5/10 cover 32,520 workers - 5.0% of employment. The post-conflict education reconstruction created significant demand for teachers across Liberia's 15 counties. Medical professionals work in the John F. Kennedy Memorial Hospital in Monrovia, county hospitals, and a network of international NGO health facilities (MSF, PIH, IMC). Liberia also attracted substantial development-sector professionals during the Ebola epidemic response (2014-2016), some of whom remained and built careers in the country's health and development sectors.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Clerical support workers (4) | 8.5/10 | 7.8k | 1.2% |
| Professionals (2) | 6.5/10 | 32.5k | 5.0% |
| Managers (1) | 5.5/10 | 13.0k | 2.0% |
| Technicians and assoc. professionals (3) | 5.5/10 | 26.0k | 4.0% |
| Service and sales workers (5) | 3.5/10 | 119.7k | 18.4% |
| Skilled agricultural workers (6) | 3.0/10 | 330.4k | 50.8% |
| Plant and machine operators (8) | 3.0/10 | 7.8k | 1.2% |
| Armed forces (0) | 2.5/10 | 13.0k | 2.0% |
| Craft and related trades workers (7) | 2.5/10 | 38.2k | 5.9% |
| Elementary occupations (9) | 2.0/10 | 55.6k | 8.5% |
Liberia's 89.35% informality rate means that for almost 9 in 10 workers, AI disruption risk is subordinate to more immediate concerns: crop prices, rubber tapper wages, mobile money fee structures, and access to healthcare. The formal sector is small enough that AI displacement, even if it occurred rapidly, would affect a minority of Liberians.
The safest jobs in Liberia
Elementary occupations score 2.0/10 on AI exposure, covering 55,580 workers - 8.5% of employment. Market porters, domestic workers, construction labourers, and general informal workers in Monrovia's large informal settlements (West Point, New Kru Town) are included here. Agricultural workers at 3.0/10 form the dominant group at 330,360 workers - 50.8% of all employment. Rubber tappers on plantation concessions and subsistence farmers in the interior counties both fall into this category. The work is manual, geographically dispersed, and not currently automatable in Liberia's infrastructure context.
Craft and trades workers score 2.5/10 covering 38,220 workers. Liberia's construction sector - fuelled by post-conflict infrastructure rebuilding with World Bank and AfDB support - employs significant numbers of masons, carpenters, and electricians. These trades are physically hands-on and face near-zero AI substitution risk in the near term.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Elementary occupations (9) | 2.0/10 | 55.6k | 8.5% |
| Craft and related trades workers (7) | 2.5/10 | 38.2k | 5.9% |
| Skilled agricultural workers (6) | 3.0/10 | 330.4k | 50.8% |
What this means for Liberia workers
For the 50.8% of Liberian workers in agriculture, AI disruption is not a near-term concern. Rubber tapping - the physically demanding daily harvest of latex from Hevea brasiliensis trees - requires constant human presence, dexterity in variable field conditions, and physical robustness that current robotics cannot replicate at the scale and cost structure of Liberian plantation agriculture. Subsistence farmers in the interior face climate risk, market access barriers, and post-harvest loss as their primary economic threats.
For Monrovia's professional and clerical workforce - approximately 40,000 workers combined - AI tools are already arriving through international development programmes. World Bank-financed public financial management reforms are digitising budget execution systems. USAID-supported health information systems are introducing electronic medical records. These changes gradually reduce demand for manual data entry and administrative processing, but the pace is governed by institutional capacity and infrastructure availability rather than pure technology adoption timelines.
Liberia's armed forces at 2.0% (13,000 workers) reflect the post-conflict rebuilding of the Armed Forces of Liberia (AFL) under US assistance. This share is consistent with a country still consolidating post-conflict security institutions. Their AI exposure score of 2.5/10 reflects the primarily physical and operational nature of military service in Liberia's current security environment.
See Liberia's full occupation breakdown
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Methodology
Employment figures are from ILO ILOSTAT (CC BY 4.0), based on the Liberia Institute of Statistics and Geo-Information Services (LISGIS) Labour Force Survey 2017, using ISCO-08 major group classifications. Data year: 2017. Covers approximately 650,320 Liberia workers. Informality rate: 89.35%. 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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Related analyses
Data sources
- ILO ILOSTAT - Employment by sex, occupation (ISCO-08), Liberia 2017 (CC BY 4.0)
- Liberia Institute of Statistics and Geo-Information Services (LISGIS), Labour Force Survey 2017
- 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)