AI Job Risk in Italy
Italy's economy runs on a dense fabric of small and mid-sized family firms organized into regional manufacturing districts, alongside a tourism sector built on food, fashion, and cultural heritage, and a public administration that is large and procedural. That mix creates uneven AI exposure: administrative paperwork, standardized accounting, and routine correspondence are readily assisted by AI, while artisanal manufacturing, design-led fashion work, and hospitality built on personal service resist automation because they depend on craft skill, taste, and trust built over years.
Average generative-AI exposure of the workforce
0.303
ILO score (0–1). Rank 13 of 20 countries.
People in employment, 2025
24,114,000
ILO modelled estimate
What people in Italy work as
Share of employment in each ISCO-08 major occupation group, and the group's average generative-AI exposure (ILO score, 0–1). The country figure above is the employment-weighted average of the exposure column.
| Occupation group | Share of employment | Exposure (ILO, 0–1) |
|---|---|---|
| Technicians and associate professionals |
18.0%
|
0.35 |
| Service and sales workers |
17.6%
|
0.26 |
| Professionals |
16.3%
|
0.39 |
| Craft and related trades workers |
13.2%
|
0.17 |
| Skilled agricultural workers and elementary occupations |
12.6%
|
0.15 |
| Clerical support workers |
12.1%
|
0.53 |
| Plant and machine operators, and assemblers |
6.3%
|
0.20 |
| Managers |
4.0%
|
0.36 |
Method: each country's employment by ISCO-08 major occupation group (ILOSTAT, ILO modelled estimates) multiplied by the average ILO exposure score of the occupations in that group (ILO Working Paper 140), then added up. The ILO publishes skilled agricultural workers and elementary occupations as one group and leaves out the armed forces. The figure uses the ILO's 0–1 scale, not the 0–100 occupation index used elsewhere on this site, and it treats an occupation as equally exposed in every country.
How to read this page in practice
The notes below explain how to read the country figure, what kind of occupation mix raises or lowers it, and what this comparison can and cannot tell you.
How to Read This Country
Reading Italy well means separating the office layer from the workshop floor. A large share of employment sits inside small, owner-operated firms in textiles, leather goods, furniture, and food production, where decisions are informal and tacit rather than documented in systems AI can absorb. Alongside this, banks, insurers, and public offices generate the kind of structured, repetitive paperwork that AI tools handle comfortably. The result is a labor market where automation pressure concentrates in back-office and administrative layers while production and service work tied to regional craft traditions changes far more slowly.
What drives the figure
Italy's employment concentrates in manufacturing districts specializing in fashion, leather, furniture, and machinery, alongside tourism, hospitality, food service, and a sizeable public sector. AI pressure moves fastest through banking back offices, insurance claims processing, public administration paperwork, and standardized bookkeeping in the many small firms that outsource such tasks to shared services. It moves far more slowly through the artisanal core, where roles like pattern makers, master tailors, furniture craftsmen, and food producers rely on manual skill and design judgment, and through tourism and hospitality roles where guests expect personal attention, local knowledge, and hands-on service that no software replicates.
What Holds Up Better
What holds up in Italy is work anchored in craft, design sense, and personal relationships built inside a family or district-based business model. Artisans, designers, and small-firm owners who combine technical skill with aesthetic judgment remain difficult to replace, as do hospitality and food-service roles where personal familiarity defines the customer experience. In a country where thousands of small firms operate with informal, relationship-based management rather than standardized corporate processes, the kind of large-scale, rules-based automation that works well in bigger organizations has less to grab onto.
What This Page Does Not Claim
A single national score cannot capture the gap between Italy's industrial north, with its dense manufacturing districts, and its more tourism- and agriculture-dependent south, or between large firms and the vast population of family-run micro-enterprises that operate outside standardized corporate systems. Read this score as a broad signal, not a claim that clerical work in a Milan bank and artisanal work in a Tuscan workshop face the same pressure.
Jobs Most At Risk from AI
This table is a current snapshot of the jobs that appear on the higher-risk side within this country profile. It is useful as a directional comparison, not as a permanent national ranking. Both lists only include jobs in the three occupation groups that employ the most people in Italy, ordered by exposure index.
| Rank | Job | Occupation group | Generative-AI exposure |
|---|---|---|---|
| 1 | Interpreter | Professionals | 98 |
| 2 | Translator | Professionals | 98 |
| 3 | Web Developer | Professionals | 97 |
| 4 | Technical Writer | Professionals | 96 |
| 5 | Programmer | Professionals | 96 |
| 6 | Content Writer | Professionals | 95 |
| 7 | Copywriter | Professionals | 95 |
| 8 | Data Analyst | Professionals | 95 |
| 9 | Data Scientist | Professionals | 95 |
| 10 | Software Tester | Professionals | 95 |
| 11 | Advertising Specialist | Professionals | 94 |
| 12 | Market Research Analyst | Professionals | 94 |
| 13 | Marketing Specialist | Professionals | 94 |
| 14 | SEO Specialist | Professionals | 94 |
| 15 | Social Media Manager | Professionals | 94 |
| 16 | IT Support Specialist | Technicians and associate professionals | 94 |
| 17 | Editor | Professionals | 94 |
| 18 | Sales Representative | Technicians and associate professionals | 93 |
| 19 | Telemarketer | Service and sales workers | 93 |
| 20 | Journalist | Professionals | 93 |
Jobs Safest from AI
This table shows the jobs that currently appear on the lower-risk side within this country profile. Read it as a structural comparison of work, not as a guarantee that these roles will stay unchanged.
| Rank | Job | Occupation group | Generative-AI exposure |
|---|---|---|---|
| 1 | Firefighter | Service and sales workers | 25 |
| 2 | Ship Engineer | Technicians and associate professionals | 27 |
| 3 | Water Treatment Operator | Technicians and associate professionals | 27 |
| 4 | Veterinary Assistant | Technicians and associate professionals | 28 |
| 5 | Paramedic | Technicians and associate professionals | 32 |
| 6 | Dentist | Professionals | 33 |
| 7 | Laboratory Technician | Technicians and associate professionals | 37 |
| 8 | Pilot | Technicians and associate professionals | 39 |
| 9 | Power Plant Operator | Technicians and associate professionals | 39 |
| 10 | Security Guard | Service and sales workers | 39 |
| 11 | Fitness Trainer | Technicians and associate professionals | 39 |
| 12 | Barista | Service and sales workers | 39 |
| 13 | Surgeon | Professionals | 39 |
| 14 | Sound Engineer | Technicians and associate professionals | 41 |
| 15 | Ship Captain | Technicians and associate professionals | 42 |
| 16 | Bartender | Service and sales workers | 43 |
| 17 | Chef | Technicians and associate professionals | 44 |
| 18 | Cook | Service and sales workers | 44 |
| 19 | Medical Assistant | Technicians and associate professionals | 46 |
| 20 | Veterinarian | Professionals | 47 |
Sources
Exposure index calculated by ai-job-risk.net from the datasets below (data as of October 15, 2026). US labour figures are from the BLS, unchanged.
- Eloundou, Manning, Mishkin & Rock, "GPTs are GPTs: Labor market impact potential of LLMs", Science (2024); data MIT licence
- Gmyrek, Berg, Kamiński, Konopczyński, Ładna, Nafradi, Rosłaniec, Troszyński. Generative AI and Jobs: A Refined Global Index of Occupational Exposure. ILO Working Paper 140. Geneva: ILO, 2025. © ILO, CC BY 4.0
- Tomlinson, Jaffe, Wang, Counts & Suri, "Working with AI: Measuring the Occupational Implications of Generative AI", Microsoft Research; CC BY 4.0
- Anthropic Economic Index (job_exposure); CC BY
- U.S. Bureau of Labor Statistics, Employment Projections 2025–35 and AI exposure categories
- ILOSTAT, ILO modelled estimates: employment by sex and occupation (ISCO-08), accessed 16 October 2026. © ILO, CC BY 4.0
The publishers did not prepare, review or endorse this site. Full citations, licences and method
Frequently asked questions
Q.Which jobs are most at risk from AI in Italy?
Most exposed: Interpreter, Translator, Web Developer. Italy's employment concentrates in manufacturing districts specializing in fashion, leather, furniture, and machinery, alongside tourism, hospitality, food service, and a sizeable public sector. AI pressure moves fastest through banking back offices, insurance claims processing, public administration paperwork, and standardized bookkeeping in the many small firms that outsource such tasks to shared services.
Q.Which jobs are safest from AI in Italy?
Least exposed: Firefighter, Ship Engineer, Water Treatment Operator. What holds up in Italy is work anchored in craft, design sense, and personal relationships built inside a family or district-based business model. Artisans, designers, and small-firm owners who combine technical skill with aesthetic judgment remain difficult to replace, as do hospitality and food-service roles where personal familiarity defines the customer experience.
Q.How exposed is Italy to AI automation?
Reading Italy well means separating the office layer from the workshop floor. A large share of employment sits inside small, owner-operated firms in textiles, leather goods, furniture, and food production, where decisions are informal and tacit rather than documented in systems AI can absorb. Alongside this, banks, insurers, and public offices generate the kind of structured, repetitive paperwork that AI tools handle comfortably.
Q.Does high exposure mean jobs will disappear in Italy?
A single national score cannot capture the gap between Italy's industrial north, with its dense manufacturing districts, and its more tourism- and agriculture-dependent south, or between large firms and the vast population of family-run micro-enterprises that operate outside standardized corporate systems. Read this score as a broad signal, not a claim that clerical work in a Milan bank and artisanal work in a Tuscan workshop face the same pressure.