Key findings
- Clerical support workers score 8.5/10 on AI exposure - Honduras's highest-risk group. 134,000 workers (3.3% of the workforce) in banking, government, and administrative roles in Tegucigalpa and San Pedro Sula face the most immediate AI adoption pressure.
- Professionals score 6.5/10, covering 233,000 workers (5.7%). Honduras's professional cohort is female-majority (60%), reflecting concentration in education and healthcare professions. Lawyers and accountants in the formal sector also score in this range.
- Elementary occupations score 2.0/10 and are Honduras's single largest employment group at 1.17 million workers (28.7%). These roles in construction support, agriculture labor, and street commerce are insulated from near-term AI displacement.
- The maquila textile sector - plant and machine operators at 3.0/10 AI exposure but 7.5/10 robotics risk - covers 255,000 workers. The AI risk is low; the robotics risk on a 10-15 year horizon as garment automation advances is real and material.
- Honduras's weighted average of 3.33/10 is the lowest in the Central America batch, reflecting the dominance of informal, physical, and agricultural employment over formal white-collar work.
4.07 million workers, ILO ILOSTAT data
Employment data comes from ILO ILOSTAT (CC BY 4.0), based on INE Honduras's (Instituto Nacional de Estadistica) Encuesta Permanente de Hogares de Propositos Multiples (EPH). The 2025 data year covers 4.07 million Honduran workers across 10 ISCO-08 major occupation groups.
Honduras's economy combines three distinct employment sectors. The maquila free-trade zones near San Pedro Sula represent the industrial heart of the country, housing textile and garment manufacturing for US and European brands (Levi's, Fruit of the Loom, and Hanes all have significant maquila operations). Agriculture - particularly coffee, bananas (Chiquita and Dole have historic presences), and African palm oil - employs hundreds of thousands in the north coast lowlands and western highlands. And a large informal urban economy in Tegucigalpa and San Pedro Sula absorbs workers in street commerce, transport, domestic service, and construction day labor.
The most AI-exposed jobs in Honduras
Clerical support workers score 8.5/10 on AI exposure and cover 134,000 workers - 3.3% of employment. These workers operate in Tegucigalpa's government ministries (Treasury, Social Security IHSS, Central Bank BCH), the banking sector (Banco Atlantida, Banco de Occidente, BAC Honduras), and corporate administrative functions in San Pedro Sula's business district. AI-driven document automation and workflow tools are entering Honduran formal sector companies through multinational subsidiaries and technology vendors serving the Central American market.
Professionals at 6.5/10 cover 233,000 workers (5.7%), and the female share of 60% is notable - Honduras's teaching and nursing professions are disproportionately female, and both face AI augmentation rather than displacement in the near term (AI tutoring tools supplement teachers; clinical decision support supplements nurses). Legal and accounting professionals in the formal sector face more direct AI competition for document-heavy tasks.
Managers (5.5/10, 88,000 workers) and technicians (5.5/10, 219,000 workers) round out the higher-exposure groups. The manager proportion at 2.2% of employment is higher than Guatemala (0.75%), suggesting slightly more formal sector development relative to workforce size.
| Occupation Group (ISCO-08) | AI Score | Robotics Risk | Workers | % of Total |
|---|---|---|---|---|
| Clerical support workers (4) | 8.5/10 | 2.5/10 | 134k | 3.3% |
| Professionals (2) | 6.5/10 | 1.5/10 | 233k | 5.7% |
| Managers (1) | 5.5/10 | 1.5/10 | 88k | 2.2% |
| Technicians and assoc. professionals (3) | 5.5/10 | 3.5/10 | 219k | 5.4% |
| Service and sales workers (5) | 3.5/10 | 4.5/10 | 1,026k | 25.2% |
| Skilled agricultural workers (6) | 3.0/10 | 6.5/10 | 303k | 7.4% |
| Plant and machine operators (8) | 3.0/10 | 7.5/10 | 255k | 6.3% |
| Armed forces occupations (0) | 2.5/10 | 3.0/10 | 8k | 0.2% |
| Craft and related trades workers (7) | 2.5/10 | 4.5/10 | 638k | 15.6% |
| Elementary occupations (9) | 2.0/10 | 5.5/10 | 1,171k | 28.7% |
The maquila sector's 255,000 plant and machine operators score 3.0/10 on AI exposure but 7.5/10 on robotics risk. The timeline for significant garment automation displacement is 10-15 years as robotic sewing and fabric handling matures. Honduras has a longer runway than its clerical workers - but the trajectory is clear.
What this means for Honduran workers
For Honduras's 134,000 clerical workers, the displacement clock is set by Tegucigalpa's banking sector and by US corporations' decisions about their Central American administrative operations. IHSS (Social Security) has repeatedly announced e-government modernisation initiatives that include document digitisation - a direct precursor to AI-driven automation. Workers in government-adjacent data entry and processing roles face a 3-7 year exposure window.
For the 1.17 million elementary workers and 638,000 craft workers, AI is not the immediate threat. Wage adequacy, gang-related constraints on labor mobility in certain zones, and access to vocational training are more pressing. The maquila sector's 255,000 workers should pay attention to robotics developments in garment manufacturing - the sector's sustainability depends on labor cost advantages that erode as automation matures. Reskilling into quality control, machine oversight, and logistics coordination extends career viability within the sector.
Explore Honduras's full workforce breakdown
AI exposure, robotics risk, and employment data for all Honduras occupation groups.
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Methodology
Employment figures are from ILO ILOSTAT (CC BY 4.0), based on INE Honduras's EPH, using ISCO-08 major group classifications covering approximately 4.07 million Honduran workers (data year 2025). AI exposure scores are research-based estimates per ISCO-08 group, informed by Frey-Osborne (Oxford), OECD, and IMF studies on task-level automation. They reflect the proportion of an occupation's core tasks that current AI can perform or significantly augment - not predictions of job loss rates.
Frequently asked questions
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Related analyses
Data sources
- ILO ILOSTAT - Employment by sex, occupation (ISCO-08), Honduras (CC BY 4.0)
- INE Honduras - Encuesta Permanente de Hogares de Propositos Multiples (EPH)
- 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)