Key findings
- General and keyboard clerks (ISCO 41) score 9.0/10 on AI exposure - the highest group score in Europe - covering around 420,000 workers in data entry, records management, correspondence handling, and administrative coordination at multinationals' Warsaw and Krakow shared services centres.
- ICT professionals (ISCO 25) score 8.5/10, covering around 680,000 workers. Poland's IT sector is one of Europe's largest per capita, employing developers, systems analysts, database administrators, and cybersecurity specialists whose tasks are increasingly AI-augmented.
- Business and administration professionals (ISCO 24) score 7.5/10, covering around 850,000 workers in finance, HR, legal, and management consulting roles concentrated in Warsaw's central business district and the business parks of Krakow.
- Customer services clerks (ISCO 42) score 8.0/10, covering around 340,000 workers in call centres, customer support, and contact centre operations - a major employment sector in Polish cities where English and German language skills make Polish workers competitive for European-market customer service roles.
- Poland's weighted average AI exposure of 5.30/10 is comparable to Germany (5.30/10) and Sweden (5.20/10), reflecting a high-skill, highly digitalised workforce with concentrated exposure in office occupations.
17 million workers, Eurostat/GUS data
Employment data comes from Eurostat (lfsa_egai2d dataset, Creative Commons CC BY 4.0), sourced from GUS (Glowny Urzad Statystyczny - Central Statistical Office of Poland) Labour Force Survey, using ISCO-08 two-digit major group classifications. Data year: 2023, covering approximately 17 million workers. Unlike non-European countries which use one-digit ISCO groups, Eurostat provides two-digit occupational detail for EU member states, allowing more granular AI exposure scoring. Poland's Labour Force Survey has been harmonised to EU standards since accession in 2004, making it among the most comparable workforce datasets in Central-Eastern Europe.
Poland's economic geography concentrates the highest AI exposure occupations in five major cities. Warsaw (3.5 million in the metro area) concentrates financial services, professional services, and multinational headquarters. Krakow (1.8 million metro) has become the preferred nearshoring hub for IT and finance, hosting major centres for Google, Motorola, IBM, and dozens of financial institutions. Wroclaw concentrates engineering and IT. Gdansk hosts finance and technology. Lodz (historically a textile centre) has successfully transitioned to business services. These five cities account for a disproportionate share of Poland's highest AI exposure workers.
The most AI-exposed jobs in Poland
General and keyboard clerks (ISCO 41) score 9.0/10 - the highest of any two-digit occupational group we have scored in Europe. These 420,000 workers are overwhelmingly employed in the shared services and business process outsourcing (BPO) industry that defines Poland's post-communist economic transition. Finance and accounting operations (accounts payable, accounts receivable, general ledger maintenance), HR administration, procurement support, and data management - all at the 9.0/10 end of the AI exposure spectrum.
ICT professionals (ISCO 25) score 8.5/10, covering 680,000 workers. This group includes software developers, applications programmers, database architects, network administrators, and cybersecurity professionals. Poland has one of Europe's largest concentrations of software developers - estimated at 250,000-300,000 - and they are among the first to both deploy AI tools (coding assistants, automated testing, code review) and to face AI augmentation of their own work. AI coding tools like GitHub Copilot have been rapidly adopted across Polish IT delivery centres.
| Occupation Group (ISCO-08 2-digit) | AI Score | Workers (2023) | % of Total |
|---|---|---|---|
| General and keyboard clerks (41) | 9.0/10 | 420K | 2.5% |
| ICT professionals (25) | 8.5/10 | 680K | 4.0% |
| Customer services clerks (42) | 8.0/10 | 340K | 2.0% |
| Business and administration professionals (24) | 7.5/10 | 850K | 5.0% |
| Finance and mathematical science professionals (21) | 7.0/10 | 310K | 1.8% |
| Legal, social and cultural professionals (26) | 6.0/10 | 420K | 2.5% |
| Health professionals (22) | 5.5/10 | 310K | 1.8% |
| Sales workers (52) | 4.5/10 | 860K | 5.1% |
| Stationary plant and machine operators (81) | 3.5/10 | 490K | 2.9% |
| Building and related trades workers (71) | 2.5/10 | 580K | 3.4% |
| Agricultural, forestry and fishery workers | 2.0/10 | 1.4M | 8.2% |
Poland's BPO and shared services sector - Europe's largest: Poland hosts over 400 business service centre (BSC) and BPO operations, employing approximately 350,000-400,000 workers according to ABSL (Association of Business Service Leaders). Warsaw and Krakow together account for over half of these centres. The employers include HSBC, Goldman Sachs, IBM, Capgemini, Accenture, Deloitte, KPMG, and hundreds of smaller operations. These centres collectively concentrate the highest-AI-exposure occupations in the Polish workforce: general clerks (9.0/10), customer service (8.0/10), business administration professionals (7.5/10). Poland's BPO success has created a structural AI vulnerability: the jobs that were nearshored are exactly the jobs AI automates.
Poland as an AI hub - the transition opportunity
There is a contrarian case for Poland in the AI era: the very density of IT professionals and tech-adjacent workers that creates vulnerability also creates capability. Poland's 680,000 ICT professionals are among Europe's most AI-literate workforces. They are building and deploying AI, not just being displaced by it. Google's Krakow centre works on AI product development. Samsung's Warsaw R&D centre focuses on AI applications. CD Projekt (the Witcher and Cyberpunk game studio) is integrating AI into game development workflows.
Poland's government has articulated an AI Strategy for Poland (Strategia AI dla Polski), positioning the country as a Central-Eastern European AI hub rather than just a cost-competitive labour location. Whether this transition succeeds - moving from AI-exposed routine office work to AI-building and AI-governance roles - is the central question for Poland's labour market over the next decade. The workforce capabilities are present; the institutional support is emerging.
Poland's construction sector - Europe's most active: Poland's building and related trades workers (ISCO 71) score 2.5/10 on AI exposure - among the lowest in the Polish economy. Poland has been the largest recipient of EU structural funds for infrastructure investment, with motorways, high-speed rail, airports, and residential construction representing decades of sustained investment. The approximately 580,000 registered construction trades workers (with many more in informal employment) score 2.5/10 because AI cannot replicate the physical adaptation and problem-solving of skilled tradespeople on complex European construction sites.
The safest Polish jobs
Agricultural and forestry workers score 2.0/10 on AI exposure, covering approximately 1.4 million workers. Poland is one of Europe's largest agricultural producers - a major exporter of apples, mushrooms, poultry, and pork. Building and related trades workers score 2.5/10 (580,000 workers). Food processing and related workers (ISCO 75) score 3.0/10 - Poland has a major food processing industry including meat processing, dairy, and confectionery (major brands like Wedel and Wawel).
What this means for Polish workers
For the 350,000-400,000 workers in Warsaw and Krakow's BPO and shared services sector - scoring 7.5-9.0/10 depending on sub-function - AI automation is already underway. ABSL surveys consistently show automation investment as the top priority for member companies. Finance and accounting automation (SAP and Oracle AI modules), HR administration automation (Workday AI features), and contact centre AI (chatbot replacement of Tier 1 customer service) are all in deployment. The reskilling challenge is substantial: these workers were hired for process execution, not AI governance or complex judgement tasks.
For Poland's 680,000 ICT professionals - scoring 8.5/10 - the dynamic is more complex. AI augmentation (coding assistants, automated testing, documentation generation) is increasing individual productivity and therefore compressing junior hiring. A team that needed 10 junior developers in 2023 may need 7 in 2026. This affects the career entry pipeline more than current senior practitioners. The 3-5 year trajectory depends on how quickly AI can handle more complex software architecture and design tasks - currently the preserve of senior professionals.
For construction workers, agricultural workers, and skilled tradespeople - scoring 2.0-3.0/10 - near-term displacement risk from AI is minimal. Poland's construction boom and agricultural export sector are creating sustained labour demand in exactly these roles. The irony of Poland's situation: the workers least at risk from AI are in sectors experiencing labour shortages.
See Poland's full occupation breakdown
Explore AI exposure, robotics risk, and employment data for all Polish occupation groups - or compare against 205 other countries.
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Methodology
Employment figures are from Eurostat lfsa_egai2d (CC BY 4.0), sourced from GUS (Central Statistical Office of Poland) Labour Force Survey, using ISCO-08 two-digit major group classifications. Data year: 2023, covering approximately 17 million workers. Unlike non-European posts which use one-digit ISCO groups, European posts use two-digit data for greater occupational precision. 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
- Eurostat lfsa_egai2d - Employment by occupation (ISCO-08 2-digit), Poland 2023 (CC BY 4.0)
- GUS - Central Statistical Office of Poland (Glowny Urzad Statystyczny) - Labour Force Survey 2023
- ABSL - Association of Business Service Leaders in Poland - Sector Report 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)