# How exposed Malta's workforce is to AI Updated October 2026 28.8% of Malta's 320,500 jobs, about 92,300, sit in occupation groups where AI can take on a high share of the tasks. The average Malta job scores 38.8 of 100. This report is for HR leaders and finance teams planning hiring, training and cost. Average exposure score 38.8 out of 100 Jobs in high or very high bands 28.8% about 92,300 jobs iGaming roles, average score 57.9 15,039 full-time staff ## Share of jobs by exposure band 34.7% of Malta jobs are in the low band, 36.5% moderate, 27.2% high and 1.6% very high. Employment data for 2025. - Low**34.7%** - Moderate**36.5%** - High**27.2%** - Very high**1.6%** ## Average score by major occupation group Clerical support workers score 59.4, the highest of the nine major groups. Elementary occupations score 16.3, the lowest. 1. Clerical support workers30,500 jobs**59.4** out of 100, high exposure 2. Professionals69,700 jobs**49.9** out of 100, moderate exposure 3. Technicians and associate professionals43,900 jobs**47.2** out of 100, moderate exposure 4. Managers36,300 jobs**46.4** out of 100, moderate exposure 5. Service and sales workers59,000 jobs**28.7** out of 100, low exposure 6. Skilled agricultural, forestry and fishery workers2,400 jobs**23.2** out of 100, low exposure 7. Craft and related trades workers33,600 jobs**23.2** out of 100, low exposure 8. Plant and machine operators and assemblers19,100 jobs**22.7** out of 100, low exposure 9. Elementary occupations26,000 jobs**16.3** out of 100, low exposure ## Most exposed groups Groups with at least 5,000 jobs. Customer services clerks lead at 65.8. 1. Customer services clerks9,200 jobs**65.8** 2. General and keyboard clerks12,100 jobs**62.6** 3. Information and communications technology professionals8,800 jobs**59.2** 4. Business and administration associate professionals17,200 jobs**58.8** 5. Business and administration professionals20,500 jobs**58.3** ## Least exposed groups Groups with at least 5,000 jobs. Cleaners and helpers are lowest at 12. 1. Cleaners and helpers11,300 jobs**12** 2. Labourers in mining, construction, manufacturing and transport6,600 jobs**19.7** 3. Building and related trades workers, excluding electricians16,400 jobs**20** 4. Personal care workers18,900 jobs**20.9** 5. Refuse workers and other elementary workers5,600 jobs**21.5** ## iGaming roles 14 of the 15 iGaming roles we graded score 50 or higher. The sector employs 15,039 full-time staff, 6.5% of the workforce (Malta Gaming Authority, Annual Report and Financial Statements). 1. Casino content writers**67** out of 100 2. Casino support agents**65** out of 100 3. Casino SEO specialists**64** out of 100 4. KYC analysts**64** out of 100 5. Game integration specialists**63** out of 100 6. Payments and fraud analysts**63** out of 100 7. CRM executives**62** out of 100 8. Affiliate managers**61** out of 100 9. Bonus and promotions managers**59** out of 100 10. Risk and trading analysts**59** out of 100 11. VIP managers**58** out of 100 12. iGaming product owners**53** out of 100 13. Responsible gaming officers**52** out of 100 14. Gaming compliance officers**51** out of 100 15. Live casino dealers**28** out of 100 ## Download the full PDF The report adds all 37 occupation groups, the iGaming role table and what each finding means for HR and finance. - Hiring, training and workload findings for HR leaders - The share of payroll exposed, to size the cost question for finance - Every occupation group and the full iGaming role table ## For journalists and press You can quote and chart these figures with a link to this page. Key numbers for 2025: Average exposure score, Malta 38.8 of 100 Jobs in high or very high bands 28.8%, about 92,300 jobs Most exposed major group Clerical support workers, 59.4 iGaming roles, average score 57.9 of 100, 15,039 full-time staff Read how the scores are built in the [method](https://www.aigentcy.com/ai-exposure/methodology/). For the task data behind a group, or a comment from our team in Malta, [contact us](https://www.aigentcy.com/contact/) or email [info@aigentcy.com](mailto:info@aigentcy.com). ## Questions How many jobs in Malta are exposed to AI? 28.8% of the 320,500 jobs we cover, about 92,300, sit in occupation groups scored high or very high. 34.7% are low and 36.5% moderate. What does the score mean? It is the share of an occupation's tasks, weighted by working time, that AI can take on today. A score of 50 means about half. It describes tasks, not whether a job disappears. Where does the employment data come from? Eurostat EU Labour Force Survey (lfsa\_egai2d), employed persons aged 15 to 64, 2025. Scores come from graded task lists and are joined to the employment of each occupation group. ## Next steps - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) - ### Estimate team savings Add the roles in a team, with headcount and salary, to see the hours AI can take on and what those hours cost. [Estimate what AI saves a team](https://www.aigentcy.com/tools/team-ai-audit/) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/) [Read the Malta workforce report](https://www.aigentcy.com/ai-exposure/malta/workforce-report/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) Sources and licences Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.