Key findings
- Clerical support workers score 8.5/10 on AI exposure, covering 19,700 workers at 9.34% of employment. This is high for a Caribbean economy and reflects Nassau's role as an offshore banking and financial services hub. Unlike purely tourism-dependent Caribbean islands, the Bahamas has a substantial financial sector employing data-entry staff, account administrators, and back-office processors - roles that current AI automates with high efficiency. These 19,700 workers represent the most concentrated near-term AI displacement risk in the Bahamian workforce.
- The weighted average AI exposure of 4.23/10 is amber - the middle band - and is higher than would be expected for a tourism-dependent Caribbean economy. The explanation is the financial services sector, which pushes both the clerical share and the overall exposure upward relative to purely tourism-dependent peer economies in the region. Compare this to Jamaica or Trinidad and Tobago, where clerical shares are lower and the weighted average tends to sit in the 3.5-4.0 range.
- Professionals score 6.5/10 on AI exposure and cover 19,910 workers at 9.44%. This is the broadest high-exposure group by worker count. Bahamian professionals include teachers across the public school system, nurses and doctors at Princess Margaret Hospital in Nassau and Rand Memorial Hospital in Freeport, accountants and lawyers in the financial services sector, and engineers in the construction industry. AI tools targeting document drafting, diagnostic support, financial analysis, and structural calculations are advancing in each of these sub-categories.
- Elementary occupations - the largest single group at 14.77% (31,140 workers, 2.0/10) - are the AI story the data tells most clearly. Hotel housekeeping across Nassau's major resorts (Atlantis Paradise Island alone employs thousands), groundskeeping, domestic service, and informal labour absorb the largest share of the Bahamian workforce and face the lowest AI displacement risk. Physical, context-dependent, and spatially distributed work at this price point is not automatable on any near-term horizon.
210,870 workers, ILO ILOSTAT 2019 data
Employment data comes from ILO ILOSTAT (CC BY 4.0), Department of Statistics Bahamas, Labour Force Survey 2019. ISCO-08 major group classifications. The 2019 data covers 210,870 formally classified workers in the Bahamas. It is important to note the vintage: this survey was conducted in 2019, prior to the two most significant economic shocks the Bahamas has experienced in recent decades. In September 2019, Hurricane Dorian made catastrophic landfall on Abaco and Grand Bahama, causing an estimated USD 3.4 billion in damage and devastating the local economies of those islands. In 2020, COVID-19 caused a severe contraction in Bahamian tourism revenue, with visitor arrivals falling by approximately 80%.
The 2019 Labour Force Survey therefore captures the Bahamian workforce at peak pre-shock conditions. The actual current workforce structure likely differs in some ways - in particular, Grand Bahama and Abaco experienced significant out-migration and economic contraction following Dorian, which may have reduced the share of craft, elementary, and service workers in those islands relative to 2019 levels. Nassau and New Providence, which account for approximately 70% of the national population, are less affected by this caveat. The occupation distribution for the main island cluster is likely reasonably representative of current conditions following the post-COVID tourism recovery.
The Bahamas is one of the most tourism-dependent economies in the Western Hemisphere, with visitor expenditure historically representing 50-60% of GDP. Nassau on New Providence is the primary tourism and financial hub; Freeport on Grand Bahama is the secondary urban centre and houses a free trade zone and industrial areas. The Family Islands - the 700-island outer archipelago - have smaller, more dispersed economies based on boutique tourism, fishing, and subsistence activity. The ILO Labour Force Survey captures the formal workforce predominantly in Nassau and Freeport, where the large hotels, banks, and commercial enterprises are concentrated.
The most AI-exposed jobs in the Bahamas
Clerical support workers score 8.5/10 on AI exposure in the Bahamas. The 9.34% share (19,700 workers) is driven by Nassau's offshore banking infrastructure. The Bahamas is one of the Caribbean's largest international financial centres, hosting over 250 registered banks and trust companies. Royal Bank of Canada (Bahamas), CIBC FirstCaribbean International Bank, Fidelity Bank (Bahamas), and Scotiabank are among the major employers of clerical staff. Back-office functions in trade settlement, account administration, document processing, and compliance filing are precisely the tasks being automated by AI-powered financial services platforms. Workers in data entry, routine correspondence, and records management face the highest displacement risk. AI document processing tools are already deployed in comparable offshore centres in the Cayman Islands and Bermuda.
Professionals score 6.5/10 (19,910 workers, 9.44%). The Bahamian professional class includes teachers employed across government schools from New Providence to the Family Islands - the public education system covers a dispersed archipelago, requiring a relatively large teaching workforce relative to population. Healthcare professionals at Princess Margaret Hospital in Nassau and the network of community clinics also make up a significant sub-group. Accountants and chartered financial analysts working in the offshore sector are professionals facing AI exposure through tools like automated financial modelling, regulatory reporting software, and AI-assisted audit platforms. Legal professionals in offshore trust and company formation are already seeing AI tools applied to document drafting and jurisdictional research.
Technicians and associate professionals score 5.5/10 (21,720 workers, 10.30%). In the Bahamas, this group includes ICT support staff serving the hotel sector and the banking industry, laboratory and medical technicians at hospitals, marine technicians servicing the yacht charter and commercial fishing fleets operating from Nassau Harbour and Freeport, and engineering associates involved in resort construction and infrastructure maintenance. At 10.30%, technicians are the third-largest confirmed group in the dataset, reflecting the technical staffing requirements of large resort complexes and the financial services sector.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Clerical support workers (4) | 8.5/10 | 19.7k | 9.34% |
| Professionals (2) | 6.5/10 | 19.9k | 9.44% |
| Managers (1) | 5.5/10 | -- | -- |
| Technicians and assoc. professionals (3) | 5.5/10 | 21.7k | 10.30% |
| Service and sales workers (5) | 3.5/10 | -- | -- |
| Skilled agricultural workers (6) | 3.0/10 | -- | -- |
| Plant and machine operators (8) | 3.0/10 | -- | -- |
| Craft and related trades workers (7) | 2.5/10 | 25.9k | 12.26% |
| Armed forces (0) | 2.5/10 | 0.25k | 0.12% |
| Elementary occupations (9) | 2.0/10 | 31.1k | 14.77% |
The Bahamas' clerical share of 9.34% - 19,700 workers scoring 8.5/10 - is the direct fingerprint of Nassau's offshore banking sector. Tourism economies without a financial services layer rarely show clerical shares above 6-7%. The Bahamas is both a beach destination and an international financial centre, and its AI exposure profile reflects both.
The safest jobs in the Bahamas
Elementary occupations score 2.0/10 on AI exposure - the lowest possible score in the ISCO-08 framework - and cover 31,140 workers at 14.77%, making them the single largest confirmed occupation group in the Bahamian dataset. This group includes hotel housekeeping staff across Nassau's major resort properties - Atlantis Paradise Island (which employs an estimated 7,000-8,000 workers in total across all functions), Baha Mar (approximately 5,000 employees), and the dozens of mid-scale hotels on Cable Beach and Nassau's western corridor. Groundskeepers maintaining the landscaping and beach infrastructure of these large resort complexes are also in this group, as are domestic workers in private households, general labourers in construction, and informal workers in the Family Islands' fishing and farming communities. The physical and context-dependent nature of this work is essentially AI-proof on any 5-10 year horizon, and the premium that Bahamian resort guests place on in-person, attentive service reinforces the economic barrier to automation even where technical progress exists.
Craft and related trades workers score 2.5/10 (25,850 workers, 12.26%). This is the second-largest confirmed group and the second-lowest on AI exposure. In the Bahamas, this group includes construction workers active across Nassau's sustained resort and infrastructure development pipeline (the Baha Mar resort complex, for example, was a USD 4.2 billion project that required years of craft labour). Marine sector workers - boat builders, marine mechanics, and fiberglass repair specialists serving both the commercial fishing fleet and the large recreational boating and charter yacht market centred on Nassau Harbour, Freeport, and Marsh Harbour - are a significant sub-group. Food service workers in hotel kitchens (distinct from the front-of-house service and sales category) and maintenance technicians performing physical repair and upkeep at resort properties also fall in this classification. The common thread is physical skill, material knowledge, and site-specific work that AI tools cannot replicate.
Service and sales workers, while not fully broken out in the confirmed data, are estimated to represent a large share of the Bahamian workforce given tourism's dominance. Front-of-house hospitality - resort reception, restaurant service, tour guiding, watersports instruction, casino dealing at Atlantis and Baha Mar - scores 3.5/10. Some AI displacement is already occurring at the margins: digital check-in kiosks, AI-assisted concierge chat, and automated booking management have reduced administrative load in large resort operations. But the core of guest-facing hospitality work in the Bahamas depends on personal interaction and the service quality that justifies Bahamas-level room rates, which remains human-dependent at current AI capability levels.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Elementary occupations (9) | 2.0/10 | 31.1k | 14.77% |
| Craft and related trades workers (7) | 2.5/10 | 25.9k | 12.26% |
| Service and sales workers (5) | 3.5/10 | -- | -- |
| Skilled agricultural workers (6) | 3.0/10 | -- | -- |
What this means for Bahamas workers
The Bahamas' 4.23/10 weighted average AI exposure reflects the structural tension in the economy between its two main sectors. Tourism, which employs most workers in elementary, service, and craft roles, keeps the aggregate AI exposure lower. Financial services, which employs clerical and professional workers at relatively high concentrations for a Caribbean economy of this size, pulls the average upward. This dual structure means AI risk is not uniformly distributed across the Bahamian workforce - it is concentrated in a specific layer of financial sector employment, primarily in Nassau, while the majority of resort and hospitality workers face a lower and more distant AI disruption horizon.
For the 19,700 clerical workers scoring 8.5/10, the near-term risk is concrete and the timeline for displacement is shorter than in most other Bahamian occupation groups. Financial services automation is already well advanced in the Cayman Islands, Bermuda, and Barbados - offshore centres comparable to the Bahamas. Document processing AI, automated compliance reporting tools, and AI-assisted account management platforms are standard in the leading international banks that operate Bahamas subsidiaries. As these tools diffuse from head offices in Toronto, London, and New York into regional back-office operations, Bahamian clerical workers will face the same productivity augmentation and potential headcount reduction pressure that counterparts in larger financial centres are already experiencing. Workers in this category should prioritise developing skills in compliance interpretation, relationship management, and digital tool oversight - the roles that remain human after AI handles the routine processing layer. The full Bahamas workforce explorer shows the occupation breakdown interactively.
For the 19,910 professionals scoring 6.5/10, the timeline is longer but the direction is clear. Teachers face AI-assisted curriculum tools; healthcare workers face diagnostic AI and administrative automation; financial professionals face AI-powered analysis platforms. The common pattern across professions is that AI will reshape the workflow before it threatens the role - reducing the time spent on routine document preparation and data analysis, while the human judgment, client relationship, and site-specific knowledge components remain human. For craft and elementary workers - the nearly 57,000 workers in these two groups at 12.26% and 14.77% respectively - AI displacement on any 5-10 year horizon is low. The more relevant career risk for most Bahamian workers in these categories is tourism cycle volatility, as illustrated by the COVID-era collapse and the ongoing hurricane exposure of an island economy, rather than automation. For comparison, see how Jamaica's workforce and Trinidad and Tobago's workforce compare in the Caribbean region, and how the Bahamas sits relative to the United States and United Kingdom globally.
See the Bahamas' full occupation breakdown
Explore AI exposure, robotics risk, and employment data for all Bahamas occupation groups - or compare the Bahamas against 205 other countries.
Explore Bahamas workforce data →Was this analysis useful?
Let us know what you think - your reaction helps us understand what to cover next.
Thanks for your reaction!
Methodology
Employment figures are from ILO ILOSTAT (CC BY 4.0), Department of Statistics Bahamas, Labour Force Survey 2019, using ISCO-08 major group classifications. Data year: 2019. Covers approximately 210,870 formally classified Bahamas workers. Note: 2019 data predates Hurricane Dorian (September 2019) and the COVID-19 downturn. 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
Which Bahamas jobs are most at risk from AI in 2026?
How many Bahamas workers are affected by AI risk?
Which Bahamas jobs are safest from AI?
Where does the Bahamas workforce data come from?
Related analyses
Data sources
- ILO ILOSTAT - Employment by sex, occupation (ISCO-08), Bahamas 2019 (CC BY 4.0)
- Department of Statistics Bahamas - Labour Force Survey 2019
- Frey, C.B. and Osborne, M.A. (2017). The future of employment. Technological Forecasting and Social Change.
- IMF - Gen-AI: Artificial Intelligence and the Future of Work (2024)
- OECD - Future of Work and Automation Risk Studies