Haiti AI Job Risk 2026: Which of 1,905k Workers Are Most Exposed?

1,905,130 workers, ILO ILOSTAT 2003 data

Employment data comes from ILO ILOSTAT (CC BY 4.0), based on the Institut Haitien de Statistique et d'Informatique (IHSI) Living Conditions Survey (LCS) 2003, using ISCO-08 major group classifications. The 2003 data covers approximately 1.9 million formally tracked Haitian workers. It is the most recent comprehensive occupational labour force survey available for Haiti via ILOSTAT - a reflection of the enormous capacity constraints Haiti's statistical infrastructure faces. The IHSI informal employment rate was 91.61%, meaning the overwhelming majority of Haitian workers operate outside formal employment tracking.

Haiti's economy is the smallest in the Western Hemisphere by per-capita income and has experienced exceptional structural disruption over the past two decades - the 2010 earthquake, political instability, Hurricane Matthew in 2016, the 2021 earthquake, and the ongoing security crisis in Port-au-Prince that has severely constrained economic activity. The formal economy that was developing around assembly manufacturing (garment factories in the SONAPI industrial zones and Caracol Industrial Park near Cap-Haitien) has contracted sharply under security pressure.

Despite these challenges, Haiti's basic occupational structure - half the workforce in agriculture, roughly a quarter in service and sales - is characteristic of low-income Caribbean and Latin American economies, with a formal sector far too small to make the national AI exposure score meaningful at the macro level. What matters for AI risk analysis is that the formal-sector workers who do exist in Port-au-Prince and Cap-Haitien face genuine exposure from tools deployed through the NGO sector, international financial institutions, and the government administration.

The most AI-exposed jobs in Haiti

Clerical support workers score 8.5/10 on AI exposure - the peak score across all occupation groups in Haiti. The 32,310 clerical workers are primarily found in Port-au-Prince, working in government ministries (Finance, Education, Health), international NGO offices (a sector that employs a disproportionate share of Haiti's formal workforce), and in the small formal private sector including banking (Unibank, BNC, Sogebank) and telecommunications (Digicel, Natcom). Data entry, document processing, scheduling, and administrative coordination are the core tasks of this group - precisely where AI tools can already deliver substantial productivity gains.

The NGO sector is particularly relevant. Haiti has one of the highest concentrations of international NGO presence in the world relative to GDP, which has created a formal employment base for clerical workers that uses English and French-language office software, email, and digital document systems. AI writing and productivity tools (Microsoft Copilot, Google Workspace AI) are reaching these workers through their international employer connections faster than almost anywhere else in the Caribbean at this income level.

Professionals score 6.5/10, covering 34,720 workers - 1.82% of employment. Haiti's professionals include teachers employed by the formal education sector, healthcare workers in public hospitals and NGO-run clinics, and engineers in the construction and infrastructure sectors. The remittance-driven economy (Haitian diaspora remittances represent roughly 37% of GDP, per World Bank estimates) funds a significant portion of professional services consumption, connecting this group to global financial tools where AI is actively deployed.

The safest jobs in Haiti

Elementary occupations score 2.0/10 on AI exposure in Haiti, covering 87,930 workers - 4.62% of employment. These include domestic workers, market porters, informal labourers, and street-level service workers throughout Port-au-Prince and Haiti's secondary cities. Near-term AI displacement risk for this group is essentially zero. Craft and trades workers score 2.5/10, covering 215,010 workers - 11.29% of employment. This includes carpenters, masons, metalworkers, and artisans who form a substantial part of Haiti's informal construction and handicraft economy. The physical, location-specific nature of trades work insulates it from AI automation in the near term.

The agricultural workforce at 50.0% is the dominant low-AI-risk group. Haiti's agricultural workers - predominantly smallholders growing rice in the Artibonite Valley, coffee in the mountains near Kenscoff and Jacmel, and subsistence crops across rural Haiti - work in an environment of extremely limited digital infrastructure. Mobile coverage has expanded, but internet penetration and access to AI tools in rural Haiti remain among the lowest in the hemisphere, making meaningful AI adoption in agricultural work a multi-decade rather than near-term prospect.

What this means for Haiti workers

Haiti's AI exposure profile is shaped overwhelmingly by economic structure rather than technology adoption rates. The 3.29/10 weighted average is low because 50% of the workforce is in agriculture and 91.61% of all employment is informal - not because AI tools are unavailable to the small formal sector. For the clerical and professional workers in Port-au-Prince who do have access to AI tools through their employers, the exposure is real and the timeline for meaningful task automation is 3-7 years, consistent with global formal-sector trends.

The specific Haiti context matters: the ongoing security crisis in the metropolitan Port-au-Prince area has constrained formal-sector growth, interrupted business operations, and created uncertainty for private employers. This temporarily slows AI adoption in the formal sector - not because the tools are irrelevant, but because businesses operating in crisis mode prioritise continuity over productivity transformation. When stability improves, the adoption curve will resume.

For the majority of Haitian workers - the agricultural smallholders, the market traders, the trades workers - AI represents a very long-horizon consideration. The more immediate economic variables are remittance income, agricultural commodity prices, and access to basic infrastructure. Haiti's path to broader AI exposure will run through mobile internet penetration and economic formalisation, both of which are measured in decades rather than years given current constraints.