Dominican Republic AI Job Risk 2026: Which of 5.14 Million Workers Are Most Exposed?

5.14 million workers, ILO ILOSTAT data

Employment data comes from ILO ILOSTAT (CC BY 4.0), based on ONE (Oficina Nacional de Estadistica) Dominican Republic's Encuesta Nacional de Fuerza de Trabajo (National Labour Force Survey). Classification follows ISCO-08 major group structure across the DR's 5.14 million employed workers. The Dominican Republic has invested significantly in statistical capacity over the past decade, making ONE data among the more reliable in the Caribbean region.

The Dominican economy has three distinct engines that shape AI exposure differently. First: tourism, which employs roughly 300,000 workers directly and supports hundreds of thousands more indirectly in a sector dominated by human interaction. Second: the free zones, concentrated in San Pedro de Macoris, Santiago, and La Romana, which employ around 150,000 workers in textiles, medical devices, cigars, and increasingly in business process outsourcing. Third: a growing formal services sector in Santo Domingo - banking, financial services, telecommunications, and a nascent IT outsourcing industry. Each sector has a different AI exposure profile and adoption timeline.

The most AI-exposed jobs in the Dominican Republic

Clerical support workers score 8.5/10 on AI exposure and cover 445,000 workers - 8.7% of total Dominican employment. These workers are concentrated in Santo Domingo's banking district, where major Dominican banks (Banco Popular, BanReservas, Banco BHD) and international financial institutions employ thousands in data processing, account management support, loan processing, and administrative coordination. AI-powered document processing, automated loan decisioning, and intelligent workflow management are being deployed by Dominican banks at a pace set by their international technology partners.

The DR's growing BPO (business process outsourcing) sector adds to clerical exposure. Nearshore BPO companies serving US clients - processing insurance claims, managing customer data, handling back-office financial operations - employ thousands of Dominican workers in exactly the tasks most susceptible to AI automation. The timeline for this sector is governed by US client procurement decisions: when a US company decides to deploy AI for claims processing, the Dominican BPO workers handling those claims face direct displacement pressure within 12-24 months.

Professionals at 6.5/10 cover 461,000 workers across the formal sector. Financial analysts, accountants, lawyers in corporate practice, and IT professionals are the highest-risk sub-groups. The DR's legal sector - which handles significant cross-border transactions and property law work for the tourism industry - employs professionals in document drafting and review tasks that AI tools can increasingly handle. Software developers in the DR's growing tech sector face AI augmentation through code generation tools, though this is more likely to increase productivity than reduce headcount in the short term.

Tourism, service workers, and the chatbot question

Service and sales workers score 3.5/10 on AI exposure overall, but this aggregate masks important variation within the sector. Hotel front desk staff, concierge workers, and customer-facing resort employees interact with international tourists who expect and pay for human service - reducing their near-term AI displacement risk relative to pure back-office workers. But hotel back-of-house operations - reservation management, group booking coordination, revenue management analysis - are already being automated by AI systems deployed globally by hotel chains (Hyatt, Marriott, Hilton all operate extensively in the DR).

The call centre and BPO component of Dominican service workers is more exposed. Approximately 80,000-100,000 Dominicans work in call centres serving US clients (estimate based on industry associations; not directly measurable from ISCO-08 data). AI-powered customer service tools are being deployed by these clients at an accelerating pace, and the timeline for meaningful displacement in this sub-sector is 3-5 years rather than the longer horizons facing hotel workers.

What this means for Dominican workers

The Dominican Republic's 3.90/10 weighted average AI exposure reflects a workforce that sits between the high-exposure economies of the formal Caribbean and the lower-exposure agricultural economies of the broader region. The DR's dual economy creates two very different AI timelines: workers in the Santo Domingo formal sector and BPO industry face near-term pressure within 3-5 years; workers in tourism, construction, and elementary occupations face longer and more uncertain timelines.

For Dominican workers in clerical and professional roles, the practical implication is to develop skills that complement rather than compete with AI: relationship management with international clients, oversight of automated processes, and the Spanish-English bilingual capabilities that Dominican workers bring to nearshore operations. The DR's growing university sector - with over 40 universities and expanding STEM enrollment - provides the foundation for this transition, but the pace of retraining investment has not yet matched the speed of AI adoption in the formal sector.