Key findings
- Clerical support workers score 8.5/10 on AI exposure at 11.62% of employment (19,630 workers). This is the highest clerical share in this Tier 3 batch - significantly above what would be expected for a desert territory of this size. It reflects Morocco's deliberate investment in full administrative infrastructure across Laayoune, Dakhla, Boujdour, and secondary settlements: courts, tax offices, municipal services, social welfare administration, and health service management all require substantial clerical workforces.
- The weighted average of 4.51/10 is the highest score in this batch and sits in the amber (medium risk) band. The two main forces driving it upward are the large professional share at 12.93% (21,860 workers, 6.5/10) and the significant clerical share at 11.62% - together they push the weighted average well above the 3.0-3.5 range typical of less formally structured economies at similar income levels.
- Craft and related trades workers dominate at 24.36% of employment (41,180 workers) at just 2.5/10 - the largest single occupation group and among the safest from AI. This reflects the phosphate sector's maintenance and construction workforce, the fishing vessel repair industry in Dakhla, and the general construction activity in rapidly expanding Laayoune. Physical, technical, and site-specific craft work is largely immune to current AI.
- There is no significant agricultural group in the data - this is consistent with the Saharan desert geography. Unlike most African economies in the WorldJobsData dataset, Western Sahara's employment base has no agricultural backbone. The phosphate mines, fishing industry, government service, and commercial economy of Laayoune and Dakhla define the occupation structure.
169,030 workers, ILO ILOSTAT 2025 data
Employment data comes from ILO ILOSTAT (CC BY 4.0), based on the Haut-Commissariat au Plan (HCP) Morocco, Labour Force Survey 2025. ISCO-08 major group classifications. The 2025 data is the most current available in the WorldJobsData dataset and covers approximately 169,030 formally classified workers in the Moroccan-administered territory of Western Sahara. Note on territorial status: Western Sahara's political status is disputed under international law. The territory is listed by the United Nations as a Non-Self-Governing Territory. Morocco administers approximately 80% of the land area including all major population centres. The Sahrawi Arab Democratic Republic (SADR), backed by Algeria and recognized by the African Union, administers the remaining Polisario-controlled zones and refugee camps in southwestern Algeria. This data covers the Moroccan-administered area only.
Western Sahara's economic structure is shaped almost entirely by three Moroccan-driven sectors. First, phosphate extraction: the Bou Craa mine southeast of Laayoune holds one of the world's largest phosphate reserves and is operated by OCP (Office Cherifien des Phosphates), Morocco's state phosphate company. The 98-kilometre conveyor belt from the mine to the port at El Aaiun Plage is one of the longest in the world. Second, the Atlantic fishing industry: Dakhla, situated on a lagoon on the Atlantic coast, has become one of Africa's most productive fishing and fish-processing centres under Moroccan development investment. The EU-Morocco fisheries agreement has been a contested element of the territory's economic development given its disputed status. Third, growing investment in renewable energy: the Dakhla wind corridor is among the strongest consistent wind resources in Africa, and Morocco has begun large-scale wind farm development that creates construction and technical employment.
The 2025 data captures a period of accelerating Moroccan investment in the territory following the 2020 normalization of Morocco-Israel relations (which included US recognition of Moroccan sovereignty over Western Sahara) and the 2022 Spanish reversal of position supporting the Moroccan autonomy plan. These diplomatic developments encouraged further Moroccan infrastructure spending, which shows up in the high craft and plant operator shares in the occupation data.
The most AI-exposed jobs in Western Sahara
Clerical support workers score 8.5/10 on AI exposure in Western Sahara at 11.62% of employment (19,630 workers). The 11.62% share is the highest clerical proportion in this Tier 3 batch - higher than comparable small economies in sub-Saharan Africa and significantly higher than the 7-8% typical of North African economies at similar development levels. Morocco has built a comprehensive public administration in Western Sahara that mirrors the administrative structure of Morocco proper: regional councils, municipal governments, courts, tax administration, social security offices, education administration, and health service management. Laayoune functions as a regional capital with ministries, and Dakhla as a secondary administrative centre. Each layer requires clerical workers to manage records, process applications, handle correspondence, and maintain data systems. This is precisely the type of structured, repetitive, rules-based work that AI document processing tools can perform at comparable or superior speed.
Professionals score 6.5/10 (21,860 workers, 12.93%). This is the largest high-exposure group in absolute and proportional terms. Professionals in Western Sahara include teachers across the school network Morocco has built throughout the territory - Laayoune has universities and secondary schools serving both settler and Sahrawi students. Healthcare professionals at the Hassan II Hospital in Laayoune and clinics across the territory form the second major sub-category. Engineers working in the phosphate sector, wind energy projects, and port construction make up a third. The 12.93% professional share is high relative to the territory's size and reflects the deliberate deployment of Moroccan professionals into the territory as part of the administrative and development strategy.
Technicians score 5.5/10 (17,520 workers, 10.37%) - a large group reflecting the technical workforce supporting the phosphate operations, fishing industry, and renewable energy construction. This technician share is one of the largest proportionally in the Tier 3 batch, driven by the industrial character of the Bou Craa mine and associated processing facilities.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Clerical support workers (4) | 8.5/10 | 19.6k | 11.62% |
| Professionals (2) | 6.5/10 | 21.9k | 12.93% |
| Technicians and assoc. professionals (3) | 5.5/10 | 17.5k | 10.37% |
| Service and sales workers (5) | 3.5/10 | 37.7k | 22.30% |
| Plant and machine operators (8) | 3.0/10 | 19.4k | 11.48% |
| Craft and related trades workers (7) | 2.5/10 | 41.2k | 24.36% |
Western Sahara's clerical share of 11.62% - highest in this Tier 3 batch - reflects Morocco's investment in full administrative infrastructure across Laayoune and Dakhla. The Bou Craa phosphate mine and Atlantic fishing industry create the craft and technical workforce. Agriculture is absent: this is a desert economy defined by minerals, fish, and government.
Why clerical workers and not craft workers face the highest risk
The contrast between clerical workers (8.5/10, 11.62% of employment) and the dominant craft workers (2.5/10, 24.36%) illustrates the central dynamic of AI exposure in Western Sahara. Craft workers in the phosphate sector perform maintenance, equipment repair, conveyor belt servicing, and construction on large-scale industrial infrastructure in desert conditions. The physical demands, environmental variability, and specialist equipment knowledge of this work are not replaceable by current AI or standard robotics - the Bou Craa conveyor alone requires ongoing manual maintenance that has no near-term automated substitute. Fishing vessel maintenance in Dakhla is similarly craft-intensive and site-specific.
Clerical workers in the government offices of Laayoune are in a structurally different position. The documents they process - administrative applications, permit requests, registration forms, official correspondence - are standardised, structured, and increasingly digital as Morocco pursues e-government modernisation across all its territories. AI-powered document processing, automated form routing, and digital case management are not speculative: they are deployed in Moroccan government offices in Rabat and Casablanca, and the same systems will reach Laayoune as the territorial integration deepens. The clerical workforce that Morocco has built in Western Sahara may be smaller in absolute terms a decade from now even as the territory's economy grows.
Service and sales workers at 22.30% (37,700 workers, 3.5/10) form the second-largest group. This includes retail workers in Laayoune's commercial district, restaurant and hospitality workers serving the growing tourism and business travel market in Dakhla (which has become a kite-surfing and wind-sports destination), and security workers in the various administrative and commercial facilities. The 3.5/10 score reflects the interpersonal, presence-based character of most service work, which current AI cannot substitute.
The safest jobs in Western Sahara
Craft and related trades workers score 2.5/10 on AI exposure - the lowest mainstream score outside elementary occupations - and cover 41,180 workers at 24.36% of employment. This is the largest single occupation group in Western Sahara and reflects the economy's industrial character. Workers in this group include phosphate mine maintenance technicians (distinct from the ISCO-08 technicians group, which covers associate professionals - craft workers here are the hands-on tradespeople: welders, electricians, mechanics), construction workers building the expanding residential and commercial districts of Laayoune, fishing vessel repair workers in Dakhla's boatyards, and workers in the fish processing plants that have expanded significantly since 2010 under Moroccan investment. The physical, equipment-intensive, and site-specific nature of this work means AI displacement is not a near-term concern.
Plant and machine operators score 3.0/10 (19,410 workers, 11.48%). This group primarily covers the Bou Craa phosphate extraction and processing workforce - conveyor operators, crushing plant operators, beneficiation plant workers, and port loading machinery operators. The OCP phosphate operations are capital-intensive but operator-dependent: the scale and remoteness of the operation, combined with the need for continuous monitoring and response to equipment conditions, keeps human operators central to the production process. Renewable energy construction also contributes to this group as wind farm installation accelerates.
| Occupation Group (ISCO-08) | AI Score | Workers | % of Total |
|---|---|---|---|
| Craft and related trades workers (7) | 2.5/10 | 41.2k | 24.36% |
| Plant and machine operators (8) | 3.0/10 | 19.4k | 11.48% |
| Service and sales workers (5) | 3.5/10 | 37.7k | 22.30% |
What this means for Western Sahara workers
The 4.51/10 weighted average AI exposure places Western Sahara in the amber (medium-risk) band - unusual for a territory at this level of economic development. The score is driven upward by the disproportionately large clerical and professional workforce that Morocco's administrative investment has created. For the majority of workers - craft, service, and plant operators together accounting for roughly 58% of employment - near-term AI displacement risk is low. The phosphate economy, fishing industry, and construction sector that employ these workers are defined by physical, industrial, and hands-on work that current AI cannot automate at the scale and cost structure relevant to this economy.
For the 12.93% who are professionals - 21,860 workers - the AI exposure at 6.5/10 is significant on a medium-term (5-10 year) horizon. Teachers form the largest sub-category; the same EdTech and AI tutoring pressures developing in Morocco proper will reach Western Sahara's schools as the territory's educational integration deepens. Healthcare professionals face AI diagnostic support tools as investment in the territory's healthcare infrastructure continues. Engineers in the phosphate and renewable energy sectors face AI-assisted design and monitoring systems but are unlikely to see significant displacement - the demand for engineering expertise in a rapidly industrialising territory is rising faster than AI can substitute.
For the 11.62% in clerical roles - 19,630 workers - the 8.5/10 exposure score is the most urgent signal in the data. Morocco's e-government programme is real and advancing. Digital identity systems, automated permit processing, and AI-assisted administrative workflows are already deployed in Morocco proper and will extend to Western Sahara as part of the integration strategy. Clerical workers who are early in their careers should consider retraining toward digital public services, community liaison roles, or technical support functions in the phosphate, fishing, and energy sectors - areas where human presence and judgement remain valuable even as administrative automation advances.
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Methodology
Employment figures are from ILO ILOSTAT (CC BY 4.0), based on the Haut-Commissariat au Plan (HCP) Morocco, Labour Force Survey 2025, using ISCO-08 major group classifications. Data year: 2025. Covers approximately 169,030 formally classified workers in the Moroccan-administered territory of Western Sahara. Territorial status is disputed under international law. 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
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Related analyses
Data sources
- ILO ILOSTAT - Employment by sex, occupation (ISCO-08), Western Sahara 2025 (CC BY 4.0)
- Haut-Commissariat au Plan (HCP) Morocco - Labour Force Survey 2025
- 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