Key findings
- Clerical support workers score 8.5/10 on AI exposure - Togo's highest-risk group. The 42,830 workers in this category are concentrated in Lome's government ministries, port authority administration, banking institutions, and the telecommunications sector, performing data entry, document processing, and administrative coordination in Togo's thin formal economy layer.
- Service and sales workers at 30.8% - 1.04M workers scoring 3.5/10 - form Togo's largest employment group and the highest service share of any country in this batch. Lome's Autonome port serves as a critical transit corridor for landlocked Burkina Faso, Niger, and Mali, generating vast informal and semi-formal trade employment along the route.
- Professionals score 6.5/10 covering 142,200 workers (4.23%) - relatively high for a country of Togo's size. This reflects Lome's role as a financial centre within the UEMOA franc zone and BCEAO regional headquarters. Accountants, lawyers, and banking professionals make up a larger-than-expected formal professional class.
- Agriculture at 39.8% - 1.34M workers scoring 3.0/10 - covers coffee, cocoa, and food crop farming across Togo's Plateaux and Centrale regions. The agricultural sector has limited digital connectivity and minimal near-term AI exposure pathways.
- Togo's weighted average of 3.32/10 is slightly above Benin's despite a similar economic structure, reflecting the marginally larger professional and clerical share relative to Benin. The 92.34% informal employment rate limits AI adoption channels for most workers.
3.4M workers, ILO ILOSTAT 2022 data
Employment data comes from ILO ILOSTAT (CC BY 4.0), based on Institut National de la Statistique et des Etudes Economiques et Demographiques (INSEED) Togo, using ISCO-08 major group classifications. The 2022 data covers approximately 3.4 million tracked Togo workers. The 92.34% informal employment rate - lower than Benin's 96.35% - suggests Togo has marginally more formal employment structure, though both economies remain overwhelmingly informal.
Togo's economy is defined by two structural features: the Port of Lome, and the UEMOA regional financial sector. The Port of Lome is one of West Africa's most important deep-water ports - it can handle container ships that cannot dock at shallower West African harbours - and its transit function employs large numbers in logistics, trade, and port-related services. The port's strategic importance has attracted Chinese infrastructure investment and positioned Lome as a regional logistics hub.
The UEMOA financial sector concentrates Togo's professional class. Several pan-African banks - Ecobank, Bank of Africa, Oragroup - are headquartered or have regional operations in Lome. BCEAO (the West African central bank) maintains significant operations in Togo. This financial sector creates a professional and clerical workforce that is proportionally larger than Togo's overall economic size would suggest, and that has relatively high AI exposure through international financial sector technology adoption.
The most AI-exposed jobs in Togo
Clerical support workers score 8.5/10 on AI exposure, covering 42,830 workers (1.27%). These workers are in Lome's formal economy: government ministries, the port authority (Port Autonome de Lome), regional bank branches, telecom companies (Togocel, Moov Africa), and international organisations. Their roles in data entry, document filing, scheduling, and administrative coordination are the most directly AI-replaceable functions in Togo's workforce.
Professionals at 6.5/10 cover 142,200 workers (4.23%), which is the most notable structural feature of Togo's workforce profile. The UEMOA banking sector, international NGO presence, and a relatively well-funded civil service create a professional class disproportionate to Togo's small economy. Lawyers, accountants, public health professionals, engineers involved in port and infrastructure projects, and a growing ICT professional cohort are all in this group. AI tools for financial analysis, legal document review, health data management, and engineering design simulation are actively reaching this group through their professional networks and employers.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Clerical support workers (4) | 8.5/10 | 42.8k | 1.27% |
| Professionals (2) | 6.5/10 | 142.2k | 4.23% |
| Managers (1) | 5.5/10 | 27.0k | 0.80% |
| Technicians and assoc. professionals (3) | 5.5/10 | 57.0k | 1.70% |
| Service and sales workers (5) | 3.5/10 | 1,037.3k | 30.84% |
| Skilled agricultural workers (6) | 3.0/10 | 1,339.8k | 39.84% |
| Plant and machine operators (8) | 3.0/10 | 115.8k | 3.44% |
| Armed forces (0) | 2.5/10 | 11.4k | 0.34% |
| Craft and related trades workers (7) | 2.5/10 | 442.2k | 13.15% |
| Elementary occupations (9) | 2.0/10 | 147.4k | 4.38% |
Togo's 30.8% service and sales share - the highest in this batch - is a port economy phenomenon, not a sign of a high-income service economy. The 1.04 million workers in this category are predominantly informal traders and logistics workers, not knowledge-economy service professionals.
The safest jobs in Togo
Elementary occupations score 2.0/10 on AI exposure in Togo, covering 147,410 workers (4.38%). Craft and trades workers score 2.5/10, covering 442,160 workers (13.15%) in metalwork, carpentry, tailoring, food processing, and construction trades concentrated in Lome's urban economy and regional towns.
Agriculture at 3.0/10 covers 1.34 million workers (39.84%) - the largest single group. Togo's farming sector covers coffee and cocoa in the southern Plateaux region, and food crops (maize, sorghum, yams) across the central and northern regions. Plant operators at 3.0/10 cover 115,830 workers (3.44%), mostly in Lome's port machinery and light manufacturing operations - these workers have limited near-term AI exposure though longer-term robotics risk exists in port automation.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Elementary occupations (9) | 2.0/10 | 147.4k | 4.38% |
| Craft and related trades workers (7) | 2.5/10 | 442.2k | 13.15% |
| Skilled agricultural workers (6) | 3.0/10 | 1,339.8k | 39.84% |
| Plant and machine operators (8) | 3.0/10 | 115.8k | 3.44% |
What this means for Togo workers
For the majority of Togo's workforce - the 1.34 million agricultural workers, 1.04 million service and sales workers, and 442,000 craft trades workers - AI presents essentially no near-term employment risk. The 92.34% informal employment rate means most workers operate entirely outside the digital channels through which AI tools typically spread. The transit trade economy that creates Togo's large service sector employs people in physical, relational, and geographically distributed roles that AI tools cannot directly displace.
The formal sector minority - the 42,830 clerical workers and 142,200 professionals - face genuine near-term AI exposure. Financial services workers in Lome's banking sector are the group most actively encountering AI productivity tools, brought in by pan-African banking groups (Ecobank, Bank of Africa) deploying technology globally. Government digitisation programs - the Togo Digital government initiative is among West Africa's more ambitious - are also creating AI-exposed clerical roles as back-office processes move to digital systems.
Togo's structural opportunity is to leverage its port-based logistics position and UEMOA financial sector role to grow a formal digital economy layer alongside the existing transit trade base. Digital logistics platforms, fintech services, and e-commerce infrastructure built on top of Lome's physical port advantage could create new formal employment that improves AI exposure readiness for a broader segment of the workforce. Workers entering formal employment in Lome today should build digital and AI literacy as a foundational career skill.
See Togo's full occupation breakdown
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Methodology
Employment figures are from ILO ILOSTAT (CC BY 4.0), based on Institut National de la Statistique et des Etudes Economiques et Demographiques (INSEED) Togo data, using ISCO-08 major group classifications. Data year: 2022. Covers approximately 3.4M formally tracked workers. The 92.34% informal employment rate means total actual employment is significantly higher. 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), Togo 2022 (CC BY 4.0)
- Institut National de la Statistique et des Etudes Economiques et Demographiques (INSEED), Togo
- 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)