Key findings
- Clerical and related workers score 8.5/10 on AI exposure, covering around 2.1 million workers in banking operations, government administrative processing, insurance claims, and corporate administrative functions concentrated in Cairo and Alexandria.
- Professionals score 6.5/10, covering around 3.5 million workers. Egypt's technology sector is growing, anchored by Cairo's Smart Village tech campus and a rapidly expanding ICT services export industry. Egypt has 700,000+ ICT professionals and is investing heavily in AI education through the Ministry of Communications and Information Technology.
- Service and sales workers score 4.5/10, covering 5.4 million workers - including Egypt's massive tourism workforce in Luxor, Aswan, Hurghada, Sharm el-Sheikh, and Cairo. Tourism generates approximately USD 13-15 billion annually and employs directly and indirectly a very large share of these workers.
- Agricultural workers score 2.0/10, covering 5.2 million workers. Egypt's agriculture is concentrated in the Nile Delta and Nile Valley - one of the world's oldest agricultural regions. Crops include cotton, sugarcane, rice, wheat, and a range of fruits and vegetables. Automation penetration is extremely limited.
- Egypt's weighted average AI exposure of 3.89/10 reflects a middle-income economy with significant white-collar exposure in Cairo offset by a large agricultural and elementary workforce throughout the Nile Valley and Delta.
30 million workers, ILO ILOSTAT/CAPMAS data
Employment data comes from ILO ILOSTAT (Creative Commons CC BY 4.0), sourced from CAPMAS (Central Agency for Public Mobilization and Statistics - Al-Jihaz al-Markazi lil-Ta'bi'a al-'Amma wal-Ihsa') Labour Force Survey, using ISCO-08 one-digit major group classifications. Data year: 2023, covering approximately 30 million workers. CAPMAS conducts quarterly Labour Force Surveys across Egypt's 27 governorates. Note: Egypt's official workforce data reflects the formal economy; the informal sector is estimated to account for 35-40% of employment and is not fully captured in ISCO-08 classifications.
Egypt's economic geography shapes AI disruption profiles sharply. Greater Cairo (22 million in the metro area - one of the world's largest cities) concentrates the government, financial services, technology, and professional services sectors with the highest AI exposure. Alexandria (5 million) concentrates trade, shipping, and industry. The Suez Canal Zone (Suez, Ismailia, Port Said) concentrates logistics and canal operations. Upper Egypt and the Sinai concentrates agriculture and tourism - with correspondingly lower AI exposure.
The most AI-exposed jobs in Egypt
Clerical and related workers score 8.5/10 on AI exposure - the highest in Egypt. Around 2.1 million workers perform data entry, banking teller and back-office operations, government records management, insurance claims, and administrative coordination. Egypt's major banks - National Bank of Egypt, Banque Misr, Commercial International Bank (CIB), and QNB Al Ahli - are all investing in AI for document processing, credit assessment automation, and customer service. The Central Bank of Egypt's fintech licensing framework has catalysed a wave of fintech apps (Fawry, Paymob, Khazna) that are compressing traditional banking teller roles from the customer-facing side.
Egypt's large government sector - which employs approximately 6.5 million workers, many in clerical roles across the 27 governorates - is the largest single employer of workers at high AI exposure. Government administrative processing (permits, registrations, document certification, tax filings) is being digitised and AI-assisted through Egypt's Digital Egypt programme, which explicitly targets paper-to-digital conversion of government services. The digitisation compresses demand for government clerks over time.
Professionals score 6.5/10, covering 3.5 million workers. Egypt's ICT services export industry - centred on Cairo's Smart Village and Maadi - generated approximately USD 5 billion in export revenue in 2023, employing software developers, system integrators, and IT support professionals who serve European and American clients. These workers are among the most AI-tool-adopting in Egypt's workforce.
| Occupation Group (ISCO-08) | AI Score | Robotics Risk | Workers (2023) | % of Total |
|---|---|---|---|---|
| Clerical and related workers (4) | 8.5/10 | 2.0/10 | 2.1M | 7.0% |
| Professionals (2) | 6.5/10 | 2.0/10 | 3.5M | 11.7% |
| Technicians and associate professionals (3) | 5.5/10 | 2.5/10 | 1.8M | 6.0% |
| Service and sales workers (5) | 4.5/10 | 3.0/10 | 5.4M | 18.0% |
| Managers (1) | 4.0/10 | 1.5/10 | 0.8M | 2.7% |
| Plant and machine operators (8) | 3.5/10 | 6.0/10 | 2.4M | 8.0% |
| Craft and related trades workers (7) | 3.0/10 | 4.5/10 | 3.5M | 11.7% |
| Elementary occupations (9) | 2.0/10 | 5.0/10 | 6.8M | 22.7% |
| Skilled agricultural and fishery (6) | 2.0/10 | 3.0/10 | 5.2M | 17.3% |
The Suez Canal and AI logistics disruption: The Suez Canal Authority employs approximately 25,000 workers directly, with tens of thousands more in logistics, port operations, and support services in Port Said, Suez, and Ismailia. In 2023, approximately 25,000 ships transited the canal (reduced from 2022 by Houthi attack disruptions in late 2023-2024). Canal traffic management, vessel scheduling, documentation, and customs processing are all being progressively digitised and AI-assisted. AI-powered logistics platforms (Maersk and MSC are both investing heavily) are reducing the administrative headcount required per vessel transit. The Suez Canal Economic Zone (SCZone) - intended to attract manufacturing and logistics investment - is also targeting AI-driven warehousing and logistics operations.
Egypt's tourism sector and AI customer service
Egypt's tourism sector - targeting 30 million visitors by 2030 under the national tourism strategy - employs an estimated 2.5-3 million workers directly in hotels, travel agencies, tour operations, restaurants, and transport. These workers fall primarily in the service and sales workers category (scoring 4.5/10 on AI exposure). AI is entering Egypt's tourism through booking platforms (Booking.com, Airbnb, and Egypt-specific platforms), AI-powered tour guide apps competing with human guides at heritage sites, automated hotel check-in systems at international chain properties in Cairo and Sharm el-Sheikh, and AI translation tools reducing the language barrier that has traditionally required multilingual tourism staff.
However, the Egyptian government has a complex interest in tourism employment: with 100+ million people and a challenging unemployment rate (particularly among youth), the Ministry of Tourism actively supports labour-intensive tourism models. AI adoption in Egyptian tourism is likely to be slower than in comparable economies because the labour cost advantage of human workers is still significant at Egyptian wage levels, and because many of the cultural and heritage experiences that Egypt sells require authentic human interaction.
The safest Egyptian jobs
Agricultural and fishery workers score 2.0/10 on AI exposure, covering 5.2 million workers. Egyptian agriculture is concentrated in the Nile Delta (Egypt's most fertile agricultural zone) and Upper Nile Valley, growing cotton, wheat, rice, sugarcane, maize, and a variety of vegetables and fruits. Precision agriculture tools are beginning to appear in the Delta's commercial farms but have not penetrated smallholder agriculture. Elementary occupations score 2.0/10 on AI exposure (6.8 million workers - Egypt's largest occupation group) covering construction labour, domestic workers, street vendors, and basic service workers.
What this means for Egyptian workers
For Cairo's clerical workers in banking, government, and insurance - 2.1 million workers scoring 8.5/10 - AI automation of document processing and routine data tasks is accelerating. Egypt's Digital Egypt programme (under MCIT - Ministry of Communications and Information Technology) has a stated target of automating 1,000 government services by 2030. Each automated government service reduces the number of clerks needed to process it. The displacement is being partially offset by Egypt's young and fast-growing population creating new demand for services - but net employment in clerical roles is expected to contract.
For Egypt's IT professionals in Cairo's Smart Village and related tech campuses - scoring 6.5/10 - AI augmentation is changing work practices without yet causing displacement. Egypt's ICT export sector is growing faster than AI can currently displace senior practitioners. The near-term risk is to the hiring pipeline: fewer junior developers needed as AI tools handle more routine coding tasks, compressing the career entry point for Egypt's large cohort of computing graduates from Cairo University, Ain Shams, and GUC (German University in Cairo).
For tourism workers along the Nile Valley and Red Sea - 5.4 million service workers scoring 4.5/10 - the disruption is selective and slower. Physical hospitality, tour guiding at heritage sites, and traditional Egyptian hospitality experiences remain AI-resistant in the medium term. The higher risk is in the booking, coordination, and administrative layers that surround physical tourism rather than in the experience delivery itself.
See Egypt's full occupation breakdown
Explore AI exposure, robotics risk, and employment data for all Egyptian occupation groups - or compare against 205 other countries.
Explore Egypt 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), sourced from CAPMAS (Central Agency for Public Mobilization and Statistics) Labour Force Survey, using ISCO-08 one-digit major group classifications. Data year: 2023, covering approximately 30 million workers. Egypt's informal economy (estimated 35-40% of employment) is partially captured in the ISCO-08 classifications but may underrepresent informal service and agricultural 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.
Frequently asked questions
Which Egypt jobs are most at risk from AI in 2026?
How many Egyptian workers are affected by AI risk?
Which Egyptian jobs are safest from AI?
Where does the Egypt workforce data come from?
How does the Suez Canal affect Egypt's AI job risk?
Related analyses
Data sources
- ILO ILOSTAT - Employed persons by sex, occupation (ISCO-08), Egypt 2023 (CC BY 4.0)
- CAPMAS - Central Agency for Public Mobilization and Statistics, Egypt - Labour Force Survey 2023
- 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 - Automation, skills use and training (2018)