Key findings
- General and keyboard clerks (ISCO 41) score 9.0/10 AI exposure - the highest in this batch. The 4,300 workers in routine keyboard, data entry, and general administrative roles face the most direct near-term automation risk. These roles are being actively replaced by AI document processing, automated data entry, and workflow automation tools across North Macedonia's formal sector.
- ICT professionals (ISCO 25), customer services clerks (ISCO 42), and numerical/material recording clerks (ISCO 43) all score 8.5/10. The 13,600 ICT professionals are notable - a growing Skopje tech sector has made ICT professionals 1.9% of employment, and their AI exposure reflects the dual reality of working closely with tools that may also augment or displace their roles.
- Business and admin professionals (ISCO 24) score 8.0/10 covering 26,500 workers - 3.8% of employment. This group includes financial analysts, HR professionals, and business consultants concentrated in Skopje's growing private sector.
- North Macedonia has only 11.96% informality - far lower than any other country in this batch and comparable to EU member states. This reflects the EU candidate accession process which has driven labour market formalisation through regulatory alignment with the EU acquis since the early 2010s.
- The weighted average of 4.48/10 is the highest in this batch - North Macedonia has a more educated, more white-collar occupational mix than most Tier 3 economies. Eurostat 2-digit ISCO data makes these patterns visible at a resolution that ILO 1-digit data does not capture.
704k workers, Eurostat 2-digit ISCO data 2025
Employment data comes from Eurostat dataset lfsa_egai2d (Eurostat open dissemination policy), 2025 data collected by the State Statistical Office of North Macedonia (SSO). This analysis uses 2-digit ISCO-08 sub-major groups - significantly more granular than the 1-digit major groups used for ILO data in most other posts on this site. This granularity reveals occupational patterns invisible in major-group data: for example, ISCO 41 (general and keyboard clerks) and ISCO 43 (numerical/material recording clerks) appear as distinct high-risk groups rather than merged into a single "clerical support workers" category.
North Macedonia's economy is anchored in manufacturing (especially automotive parts and textiles for European export markets), retail and services, and a growing IT sector concentrated in Skopje. The country is an EU candidate state and a NATO member, giving it institutional integration with European markets that has driven labour formalisation and skills development. The Skopje Technology Park and several EU-funded ICT training programmes have contributed to the visible ICT professional cohort (ISCO 25: 13,600 workers, 1.9% of employment).
The textile manufacturing sector - historically concentrated in Stip, Shtip, and Tetovo - employs craft workers (ISCO 75: food, wood, garment trades at 22,000 workers) who are a legacy of socialist-era industrial investment. These workers face lower AI risk (2.5/10) but face longer-term pressure from automation in textile production.
The most AI-exposed jobs in North Macedonia
The 2-digit ISCO resolution reveals a clear hierarchy of AI risk in North Macedonia's clerical and professional occupations. General and keyboard clerks (ISCO 41) score 9.0/10 - the highest in this analysis. These 4,300 workers perform routine administrative processing, keyboard data entry, and general office support. The automation pathway is direct: AI-powered document processing, robotic process automation, and AI form-filling tools already exist for precisely these tasks, and North Macedonia's formally employed office workers have employer relationships that give them early exposure to enterprise software deployments.
ICT professionals (ISCO 25) scoring 8.5/10 at 1.9% of employment is the data point that most distinguishes North Macedonia from other Tier 3 economies. Skopje has attracted IT outsourcing and software development operations - companies including Seavus, Netcetera, and several EU-linked tech firms maintain Skopje offices. These workers build and maintain AI tools, but also face AI-driven productivity pressure on routine coding tasks (code generation, testing, documentation). Their AI exposure score reflects the dual role of being AI creators and potential AI targets.
Business and admin associate professionals (ISCO 33) score 7.5/10 covering 38,600 workers - 5.5% of employment and one of the larger groups. This includes bookkeepers, human resources assistants, and business services staff. Legal, social, and cultural professionals (ISCO 26) score 7.0/10 covering 26,000 workers including lawyers, journalists, and social workers who are in the crosshairs of AI text generation and case analysis tools.
| Occupation Group (ISCO-08 2-digit) | AI Score | Workers | % of Total |
|---|---|---|---|
| ISCO 41 - General/keyboard clerks | 9.0/10 | 4.3k | 0.6% |
| ISCO 25 - ICT professionals | 8.5/10 | 13.6k | 1.9% |
| ISCO 42 - Customer services clerks | 8.5/10 | 10.7k | 1.5% |
| ISCO 43 - Numerical/material recording clerks | 8.5/10 | 17.3k | 2.5% |
| ISCO 24 - Business/admin professionals | 8.0/10 | 26.5k | 3.8% |
| ISCO 33 - Business/admin assoc. professionals | 7.5/10 | 38.6k | 5.5% |
| ISCO 35 - ICT technicians | 7.5/10 | 3.9k | 0.6% |
| ISCO 21 - Science/engineering professionals | 7.0/10 | 19.1k | 2.7% |
| ISCO 26 - Legal/social/cultural professionals | 7.0/10 | 26.0k | 3.7% |
| ISCO 12 - Admin/commercial managers | 6.5/10 | 1.6k | 0.2% |
| ISCO 23 - Teaching professionals | 6.5/10 | 37.0k | 5.3% |
| ISCO 44 - Other clerical support workers | 6.0/10 | 11.5k | 1.6% |
| ISCO 31 - Science/engineering assoc. professionals | 5.5/10 | 14.3k | 2.0% |
| ISCO 11 - Chief executives/legislators | 5.0/10 | 5.3k | 0.8% |
| ISCO 13 - Production/specialised managers | 5.0/10 | 5.6k | 0.8% |
| ISCO 22 - Health professionals | 5.0/10 | 18.0k | 2.6% |
| ISCO 32 - Health associate professionals | 5.0/10 | 17.9k | 2.5% |
| ISCO 34 - Legal/social/cultural assoc. | 5.0/10 | 5.3k | 0.8% |
| ISCO 52 - Sales workers | 5.0/10 | 66.9k | 9.5% |
| ISCO 14 - Hospitality/retail managers | 4.5/10 | 4.4k | 0.6% |
| ISCO 73 - Handicraft/printing workers | 4.0/10 | 3.1k | 0.4% |
| ISCO 01 - Commissioned armed forces | 3.5/10 | 6.7k | 1.0% |
| ISCO 61 - Market agricultural workers | 3.5/10 | 40.2k | 5.7% |
| ISCO 74 - Electrical/electronic trades | 3.5/10 | 7.1k | 1.0% |
| ISCO 81 - Stationary plant/machine operators | 3.5/10 | 48.6k | 6.9% |
| ISCO 72 - Metal/machinery trades workers | 3.0/10 | 16.2k | 2.3% |
| ISCO 51 - Personal service workers | 2.5/10 | 31.9k | 4.5% |
| ISCO 62 - Forestry/fishing workers | 2.5/10 | 0.8k | 0.1% |
| ISCO 75 - Food/wood/garment craft workers | 2.5/10 | 22.0k | 3.1% |
| ISCO 82 - Assemblers | 2.5/10 | 8.1k | 1.2% |
| ISCO 83 - Drivers/mobile plant operators | 2.5/10 | 35.3k | 5.0% |
| ISCO 53 - Personal care workers | 2.0/10 | 5.2k | 0.7% |
| ISCO 54 - Protective services workers | 2.0/10 | 20.6k | 2.9% |
| ISCO 71 - Building/related trades workers | 2.0/10 | 31.2k | 4.4% |
| ISCO 93 - Construction/manufacturing labourers | 2.0/10 | 12.8k | 1.8% |
| ISCO 91 - Cleaners and helpers | 1.5/10 | 21.3k | 3.0% |
| ISCO 92 - Agricultural/forestry labourers | 1.5/10 | 25.3k | 3.6% |
| ISCO 94 - Food preparation assistants | 1.5/10 | 2.7k | 0.4% |
| ISCO 96 - Refuse workers/labourers | 1.5/10 | 17.2k | 2.4% |
North Macedonia's 4.48/10 weighted average is the highest in this batch - a signal that EU candidate status and labour market formalisation have created a more white-collar workforce structure than GDP alone would predict. The Eurostat 2-digit ISCO resolution makes this visible where ILO major-group data would obscure it.
The safest jobs in North Macedonia
The bottom of the AI exposure ranking in North Macedonia's Eurostat 2-digit data reveals four groups at 1.5/10: cleaners and helpers (ISCO 91, 21,300 workers), agricultural and forestry labourers (ISCO 92, 25,300 workers), food preparation assistants (ISCO 94, 2,700 workers), and refuse workers and other labourers (ISCO 96, 17,200 workers). These scores reflect tasks that are physical, variable, and require spatial navigation - the characteristics most resistant to current AI capabilities.
Personal care workers (ISCO 53) and protective services workers (ISCO 54) score 2.0/10, covering 5,200 and 20,600 workers respectively. Building trades workers (ISCO 71) at 2.0/10 cover 31,200 workers in North Macedonia's active construction sector. Drivers and mobile plant operators (ISCO 83) score 2.5/10, covering 35,300 workers - one of the larger lower-risk groups in the economy.
| Occupation Group (ISCO-08 2-digit) | AI Score | Workers | % of Total |
|---|---|---|---|
| ISCO 91 - Cleaners and helpers | 1.5/10 | 21.3k | 3.0% |
| ISCO 92 - Agricultural/forestry labourers | 1.5/10 | 25.3k | 3.6% |
| ISCO 94 - Food preparation assistants | 1.5/10 | 2.7k | 0.4% |
| ISCO 96 - Refuse workers/other labourers | 1.5/10 | 17.2k | 2.4% |
| ISCO 53 - Personal care workers | 2.0/10 | 5.2k | 0.7% |
| ISCO 54 - Protective services workers | 2.0/10 | 20.6k | 2.9% |
| ISCO 71 - Building/related trades workers | 2.0/10 | 31.2k | 4.4% |
| ISCO 93 - Construction/manufacturing labourers | 2.0/10 | 12.8k | 1.8% |
What this means for North Macedonia workers
North Macedonia's 4.48/10 weighted average places it among the most AI-exposed economies in this analysis batch, reflecting a labour market that has formalised and developed a white-collar professional base faster than many Tier 3 peers. The EU candidate process, NATO membership, and European export integration have driven this shift. The question for North Macedonia is not whether AI will arrive in its formal economy - it is already arriving through multinational employers and EU-linked software deployments - but whether the education and training system can reskill workers fast enough.
Skopje's ICT sector growth is the most positive economic signal. North Macedonia has built a software development and IT services export industry that employs 13,600 professionals and is growing. These workers are AI-exposed (8.5/10) but are also the most capable of adapting to AI-augmented work - using AI tools for code generation, testing, and architecture while remaining employed in roles that require judgment and client relationships.
Workers in manufacturing - the textile and garment workers (ISCO 75: 22,000), assemblers (ISCO 82: 8,100), and plant operators (ISCO 81: 48,600) - face lower AI risk (2.5-3.5/10) but higher robotics risk from factory automation. These workers, concentrated in regional towns outside Skopje, represent North Macedonia's industrial legacy and face a different technology challenge than the capital's white-collar workforce.
See North Macedonia's full occupation breakdown
Explore AI exposure, robotics risk, and employment data for all North Macedonia occupation groups - or compare North Macedonia against 205 other countries.
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Methodology
Employment figures are from Eurostat dataset lfsa_egai2d (Eurostat open dissemination policy), 2025. Data collected by the State Statistical Office of North Macedonia (SSO). Two-digit ISCO-08 sub-major group classifications are used - more granular than the 1-digit major groups used for ILO data in most other posts on this site. Data year: 2025. Covers approximately 704,100 North Macedonia 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
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Related analyses
Data sources
- Eurostat - Employment by sex, age, occupation (ISCO-08 2-digit), lfsa_egai2d, North Macedonia 2025 (Eurostat open dissemination policy)
- State Statistical Office of North Macedonia (SSO) - Labour Force Survey 2025
- Frey, C.B. and Osborne, M.A. (2017). The future of employment. Technological Forecasting and Social Change.
- OECD - The Future of Work and Skills
- IMF - Gen-AI: Artificial Intelligence and the Future of Work (2024)