Comoros AI Job Risk 2026: Which of 174k Workers Are Most Exposed?

174,730 workers, ILO ILOSTAT 2021 data

Employment data comes from ILO ILOSTAT (CC BY 4.0), based on the Direction Generale de la Statistique et de la Comptabilite Publique (DGSCP) Comoros, Labour Force Survey 2021. ISCO-08 major group classifications. The 2021 data covers approximately 174,730 formally classified workers across the Union of the Comoros - the three main islands of Grande Comore (Ngazidja), Anjouan (Nzwani), and Moheli (Mwali). The territory of Mayotte, which Comoros claims but France administers as a departement, is not included in DGSCP national statistics.

Comoros is one of the world's most remittance-dependent economies. The Comorian diaspora in metropolitan France, Mayotte, and Reunion sends money home at a rate that makes remittances a structural pillar of household income across all three islands. This creates an important context for reading the occupation data: a significant portion of the working-age population is absent from the islands and thus absent from the survey. The formal workforce of 174,730 workers is employed domestically; the full Comorian working population, including the diaspora, is substantially larger. The diaspora skews toward higher-education and service employment in France - meaning the domestic workforce remaining on the islands is more heavily weighted toward agriculture, artisanal production, and government work than the full population would suggest.

The 2021 survey reflects the Azali Assoumani government period following the 2019 constitutional referendum that extended presidential term limits. Economically, 2021 was a post-COVID recovery year - the pandemic disrupted the cloves and ylang-ylang export trade and reduced remittance flows, though both had partially recovered by the time the survey was conducted.

The most AI-exposed jobs in Comoros

Clerical support workers score 8.5/10 on AI exposure in Comoros at 7.49% of employment (13,090 workers). The clerical share is higher than might be expected for a micro-economy of this size - many comparable island and micro-state economies in the WorldJobsData dataset have clerical shares below 5%. The explanation lies in governance structure: Comoros operates four separate civil service bureaucracies simultaneously. The union government based in Moroni handles foreign affairs, defence, and macro-level economic policy. The island governments of Ngazidja, Nzwani, and Mwali each maintain their own administrative departments covering local services, health, education, and infrastructure. This four-layer system - a result of the 2001 Fomboni Accord that created the current union structure to manage separatist pressures, particularly from Anjouan - requires a relatively large number of clerks, secretaries, data entry operators, and administrative assistants relative to the total working population.

Professionals score 6.5/10 (13,770 workers, 7.88%). This group includes teachers across the primary and secondary education system - Comoros maintains a school network across all three islands, largely inherited from the French colonial period and subsequently supported through aid from France, the Arab world (particularly Saudi Arabia and the UAE, which have invested in Islamic education infrastructure), and multilateral donors. Healthcare professionals form the second major sub-category: doctors, nurses, and midwives at the El-Maarouf University Hospital in Moroni and the smaller island facilities. Engineers and technical professionals in the small utilities and telecommunications sector make up the remainder.

Technicians and associate professionals score 5.5/10 (5,400 workers, 3.09%). This is a small group covering laboratory technicians, lower-level health workers, and telecommunications associates. Managers, where data allows estimation, are a similarly small fraction - the private sector in Comoros is limited primarily to small-scale trade, fishing cooperatives, and the ylang-ylang distillation industry.

Why clerical workers and not agricultural workers face the highest risk

The contrast between clerical workers (8.5/10, 7.49% of employment) and skilled agricultural workers (the dominant employment group, 3.0/10) illustrates the core dynamic of AI exposure in Comoros. Clerical work - data entry, document processing, correspondence management, scheduling, records maintenance - consists of structured, rule-based tasks that AI tools can already perform at or above human level. The government offices in Moroni, Mutsamudu (Anjouan capital), and Fomboni (Moheli capital) are not highly automated today, but the tools exist and are affordable. As donor-funded digital government initiatives reach Comoros through French development cooperation and African Development Bank programmes, the clerks who currently handle paperwork manually will face the most direct automation pressure.

Agricultural workers face fundamentally different conditions. Ylang-ylang harvesting requires skilled manual selection of flowers at precise points of ripeness - a tactile, judgment-intensive task that occurs across smallholder plots on steep volcanic terrain. Clove harvesting similarly depends on hand-picking at altitude. Vanilla cultivation involves hand-pollination, a technique that has been performed manually since vanilla was introduced to the Indian Ocean islands in the 19th century and for which no viable mechanical alternative exists. These characteristics - physical precision, terrain dependency, biological variability, and small-plot geography - put agricultural work beyond the reach of current AI and robotics on any near-term horizon relevant to Comorian farmers.

The armed forces (2.5/10) deserve a separate note. While AI-enabled military systems are advancing globally, the Comorian military's primary function has historically been domestic political security rather than technical warfare. The AI exposure score of 2.5/10 reflects the physical, presence-based nature of this work in a small-island context rather than any assessment of military technology adoption.

The safest jobs in Comoros

Elementary occupations score 2.0/10 on AI exposure - the minimum in the ISCO-08 framework - and cover 23,060 workers at 13.20% of employment. This is the second-largest measured occupation group in the Comoros data. Elementary workers include domestic cleaners and helpers, agricultural day labourers, market porters, refuse collectors, and workers in basic food processing. On an archipelago with a small commercial sector and limited formal infrastructure, elementary occupations represent the broad base of informal and semi-formal labour that underpins everyday economic activity on all three islands. The physical, varied, and location-specific nature of this work means AI displacement is not a near-term concern.

Craft and related trades workers score 2.5/10 (11,600 workers, 6.64%). In Comoros this group includes boat builders and repairers serving the artisanal fishing fleet, construction workers supporting the ongoing building activity in Moroni and secondary towns, traditional mat and basket weavers, and food processing workers in the small ylang-ylang distillery and clove drying operations. Physical craft knowledge embedded in hands, tools, and local materials is not replicable by current AI systems, and the Comorian economy's small scale means the capital investment required for automation would be economically irrational even where the technology exists.

What this means for Comoros workers

The 3.69/10 weighted average AI exposure confirms that Comoros, taken as a whole, is a low-risk labour market from an AI displacement perspective. The agricultural backbone of the economy - ylang-ylang, cloves, vanilla, and fishing - is structurally resistant to AI automation on the timescales that matter for workers currently in the labour force. For the majority of Comorian workers, the more pressing economic threats are commodity price volatility in the spice and essential oil export markets, climate change impacts on agricultural yields across the low-lying island coastlines, and remittance dependency that creates household income exposure to economic conditions in France and Mayotte.

For the 7.88% of workers who are professionals - 13,770 people, primarily teachers and healthcare workers - AI represents a slow-moving but real pressure over a 5-10 year horizon. AI-assisted diagnostic tools in healthcare, automated translation and content generation for education, and AI-powered administrative platforms for government services are all advancing in French-language versions that will reach Comorian institutions through development cooperation channels. The practical effect over the next decade is more likely to be augmentation (fewer support staff needed per professional) than direct displacement of teaching or clinical roles. Workers in early career stages within the professional category should monitor this trajectory and invest in the judgment-intensive, patient-facing, or community-embedded aspects of their work that AI cannot replicate.

For the 7.49% of workers in clerical roles - 13,090 people - the 8.5/10 exposure score is the most urgent warning in the Comoros data. Document processing software, basic AI correspondence tools, and digital records systems are already deployed in comparable small-state administrations across the Indian Ocean region. As Comoros pursues e-government modernisation with development partner support, the administrative workforce faces genuine displacement risk within a 5-7 year window. Young clerical workers would benefit from retraining toward digital service delivery, community health worker roles, or agricultural value-chain management - areas where growth is expected and AI cannot substitute for the human element.