Key findings

  • Clerical support workers score 8.5/10 on AI exposure and represent 10.9% of the workforce (9,900 workers). Concentrated in Papeete's government administration - the High Commission of the Republic (Haut-commissariat de la Republique), the Presidency of French Polynesia, and the territorial assembly. Data entry, permit processing, and administrative coordination in a French-law jurisdiction with heavy documentation requirements make this group structurally exposed to AI-assisted automation.
  • Professionals score 6.5/10 and are the single largest group at 23.4% (21,100 workers). This is exceptional for a Pacific island economy - most comparable territories have agricultural workers as the dominant group. The high professional share reflects French state investment in education (College de la Polynesie francaise, Universite de la Polynesie francaise) and healthcare (Centre Hospitalier de la Polynesie francaise in Pirae), plus the substantial French military presence at Papeete Port. Teachers, doctors, nurses, engineers, and military officers together constitute a professional class far larger than the tourism economy alone would generate.
  • Craft and related trades workers score 2.5/10 (lowest in the data) at 14.3% (12,900 workers). Construction drives this group - French Polynesia has ongoing infrastructure investment across its 118 islands, including port facilities, roads on Tahiti and Moorea, and building in outer island communities. Pearl farming infrastructure maintenance (tanks, nets, pontoons on atolls) also employs craft skills. These are largely physical, site-specific roles resistant to near-term automation.
  • The weighted average of 5.09/10 is the highest of any Pacific island economy in this batch. The absence of agricultural employment in the official ISPF classification - peariculture (black pearl aquaculture) employs workers but they appear under different ISCO categories - means there is no large low-scoring group pulling the average down. French Polynesia produces roughly 90-95% of the world's black Tahitian cultured pearls (Chambre de l'Agriculture et de la Peche Lagunaire data), but farm workers are a relatively small share of total employment.

90,400 workers, ILO ILOSTAT data from Institut de la statistique de la Polynesie francaise

Employment data comes from ILO ILOSTAT (CC BY 4.0), sourced from the Institut de la statistique de la Polynesie francaise (ISPF), using ISCO-08 major group classifications. The ISPF conducts the Recensement General de la Population and regular enquetes emploi (household labour surveys) across French Polynesia's five archipelagos: Society Islands (including Tahiti and Moorea), Tuamotu-Gambier, Marquesas, Austral, and Bass Islands. Total covered workforce: 90,400 employed workers.

French Polynesia is a French overseas collectivity (collectivite d'outre-mer) - not an independent state, but with substantially more autonomy than a French department. The Statute of Autonomy of 2004 grants the territorial government control over most economic and cultural matters, while France retains defence, justice, foreign affairs, and monetary policy. The franc Pacifique (XPF), pegged to the euro, is the currency - monetary stability underpins the financial services and tourism sectors. This political structure creates a dual economy: French state institutions (army, education, justice, public health) employing professionals on metropolitan French salary scales, and a locally-funded tourism and trade economy. The professional class at 23.4% reflects the French state payroll as much as local private sector development.

Tourism is the largest private sector activity. Approximately 200,000 to 300,000 tourists visit annually (Direction du Tourisme de Polynesie francaise data), generating roughly 15-18% of GDP. The sector is high-value and low-volume by regional standards - overwater bungalows in Bora Bora and Rangiroa command premium prices, and Air Tahiti Nui connects Papeete to Paris, Los Angeles, and Auckland. Peariculture - the cultivation of Pinctada margaritifera oysters for black Tahitian pearls on Tuamotu and Gambier atolls - is the second major export industry. Both industries create demand for service, craft, and technical workers, explaining the relatively balanced distribution across lower-scoring ISCO groups.

90.4k
Total workers tracked
5.09/10
Weighted avg AI exposure
9.9k
Clerical workers at 8.5/10

The most AI-exposed jobs in French Polynesia

Clerical support workers score 8.5/10 (9,900 workers, 10.9%). In Papeete, the administrative capital, clerical roles span the French state apparatus - prefectural offices, the territorial assembly, the fiscal services of the Direction des Impots et des Contributions Publiques, and the customs administration at Papeete Port. Tourism generates additional clerical demand: hotel reservation systems, airline ground operations for Air Tahiti Nui and Air Tahiti (inter-island), and the administrative back-offices of the major resort groups on Bora Bora and Moorea. AI document processing tools are already automating significant portions of these workflows in metropolitan France, and the adoption curve in French Polynesia - which operates under the same French administrative frameworks - is likely to follow within a 3-7 year lag.

Professionals score 6.5/10 (21,100 workers, 23.4%). This is the key structural feature of French Polynesia's AI risk profile. Teachers and educational staff at the Direction de l'Education de Polynesie francaise constitute a large share - French Polynesia maintains a full metropolitan-equivalent school system with lycees, colleges, and primary schools across the islands. Healthcare professionals at the Centre Hospitalier de la Polynesie francaise (the main hospital in Pirae, Tahiti) and district health centres on outer islands represent another major sub-group. Engineers and technical professionals support port infrastructure, electricity generation (through EDT - Electricite de Tahiti), and the pearl industry's aquaculture operations. AI tools in educational content generation, medical diagnostics, and infrastructure planning are in early deployment globally; French Polynesia's connection to French metropolitan systems may accelerate adoption.

Managers score 5.5/10 (5,800 workers, 6.4%) and technicians score 5.5/10 (17,800 workers, 19.7%). Technicians are the second largest group and include ICT technicians for the Te Fenua telecoms network, health technicians across the archipelago, and marine technicians supporting the peariculture sector. The 19.7% technician share is notably high for a Pacific island economy, again reflecting the French state's investment in a fully-staffed technical infrastructure.

Occupation Group (ISCO-08) AI Score Workers % of Total
Clerical support workers (4)8.5/109,90010.9%
Professionals (2)6.5/1021,10023.4%
Managers (1)5.5/105,8006.4%
Technicians and assoc. professionals (3)5.5/1017,80019.7%
Service and sales workers (5)3.5/1016,70018.5%
Plant and machine operators (8)3.0/106,2006.9%
Craft and related trades workers (7)2.5/1012,90014.3%

With no agricultural group in the ISPF data, French Polynesia has no large low-scoring buffer pulling the weighted average down. The 5.09/10 result is the highest of any Pacific island in this batch - a direct consequence of a professional class at 23.4% that exists because France funds it.

The safest jobs in French Polynesia

Craft and related trades workers score 2.5/10 (12,900 workers, 14.3%). Construction remains the primary driver across the archipelago - Tahiti and Moorea have active residential and tourism infrastructure markets, and outer island projects such as the airport expansion on Rangiroa and water infrastructure on the Tuamotu atolls require skilled tradespeople. Pearl farm maintenance on the Tuamotu-Gambier archipelago involves boat building and repair, diving equipment maintenance, and atoll infrastructure work. Traditional Polynesian crafts - tapa cloth making, tivaevae quilting, pareo dyeing - are practiced across the islands and constitute a cultural industry with direct tourism linkage. These roles combine physical site-specific work and traditional knowledge that current AI tools cannot replicate.

Plant and machine operators score 3.0/10 (6,200 workers, 6.9%). Marine operations at Papeete Port - the main commercial hub for the entire territory - employ vessel operators, cargo handlers, and equipment operators. Inter-island shipping through the AREMITI and Terevau ferry services, and cargo vessels serving the outer islands, require machine operators with local maritime knowledge of French Polynesia's complex atoll and reef navigation. Electricity generation at EDT's thermal plants on Tahiti also employs plant operators.

Service and sales workers score 3.5/10 (16,700 workers, 18.5%). Tourism hospitality - front desk, restaurant service, guided activities, and cultural performances - is the primary employer in this category. The face-to-face, experience-centred nature of high-end Polynesian tourism (overwater bungalow service, lagoon excursions, cultural evening shows) is structurally resistant to AI automation. Guests at Bora Bora's Four Seasons or the Brando resort on Tetiaroa are paying for human-delivered experiences; AI cannot substitute for the Polynesian hospitality component that is central to the product differentiation. See the Fiji AI jobs analysis and the Samoa AI jobs analysis for nearby Pacific comparison.

Occupation Group (ISCO-08) AI Score Workers % of Total
Craft and related trades workers (7)2.5/1012,90014.3%
Plant and machine operators (8)3.0/106,2006.9%
Service and sales workers (5)3.5/1016,70018.5%

What this means for French Polynesia workers

The 5.09/10 weighted average is a meaningful number: it signals that French Polynesia's formal workforce is more exposed to AI automation than most Pacific peers. The key vulnerability is the professional and clerical concentration. The 21,100 professionals (23.4%) and 9,900 clerical workers (10.9%) together represent about 34% of the workforce at scores of 6.5/10 and 8.5/10 respectively. These are primarily public sector workers - teachers, healthcare staff, administrators - whose roles are insulated from market-driven AI adoption in the near term, but who will face AI-augmented workflows over a 5-10 year horizon as metropolitan France rolls out digital government services that French Polynesia is required to adopt.

For clerical workers specifically, the adoption timeline is compressing. France's Service Public Plus initiative and the Direction Interministerielle du Numerique (DINUM) are digitalising central government document processing. Prefectural administrations in overseas collectivities are on the same adoption track. A clerical worker in the Haut-commissariat in Papeete today who processes visa applications, civil registry documents, or fiscal declarations is doing work that will be AI-assisted within 3-5 years. The displacement risk is real for the most routine tasks; the adaptation requirement is to move toward roles requiring local knowledge, judgment, and direct citizen interaction.

For the 12,900 craft workers and 16,700 service workers - the groups scoring below 3.5/10 - the near-term AI risk is low. French Polynesia's construction sector has a structural undersupply of skilled tradespeople, and the tourism sector's premium positioning protects service roles from automation pressure. The 90,400-worker economy is small enough that even moderate AI adoption in government administration would be felt across the public sector workforce. Compare to the US workforce analysis for scale context, and US vs World for how island economies compare globally.

See French Polynesia's full occupation breakdown

Explore AI exposure, robotics risk, and employment data for all French Polynesia occupation groups - or compare against 205 other countries.

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Methodology

Employment figures are from ILO ILOSTAT (CC BY 4.0), based on the Institut de la statistique de la Polynesie francaise (ISPF), using ISCO-08 major group classifications. Covers approximately 90,400 formally classified French Polynesia workers. 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 French Polynesia jobs are most at risk from AI in 2026?
Clerical support workers score 8.5/10 at 10.9% (9,900 workers) in Papeete government offices and tourism admin. Professionals score 6.5/10 at 23.4% (21,100 workers) in education, healthcare, and French state administration.
How many French Polynesia workers are affected by AI risk?
90,400 total workers per ILO ILOSTAT data from the Institut de la statistique de la Polynesie francaise (ISPF). Service and sales workers at 18.5% (16,700) are the third largest group at 3.5/10 AI exposure.
Which French Polynesia jobs are safest from AI?
Craft and related trades workers score 2.5/10 at 14.3% (12,900 workers) in construction and traditional crafts. Plant and machine operators score 3.0/10 at 6.9% (6,200 workers) in port and marine operations.
Where does the French Polynesia workforce data come from?
ILO ILOSTAT (CC BY 4.0), Institut de la statistique de la Polynesie francaise (ISPF), using ISCO-08 major group classifications. Covers 90,400 employed workers across all major ISCO-08 occupation groups.

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