AI Job Risk in Saudi Arabia
Saudi Arabia's labor market is still anchored in oil and its supporting industries, but a national transformation agenda is deliberately pushing investment into tourism, entertainment, finance, and giant construction and infrastructure projects, alongside a public sector that has traditionally employed a large share of citizens. That mix means AI adoption is arriving fastest in the administrative and financial layers tied to reform initiatives, while oil-field operations, construction, and the buildout of new cities remain heavily dependent on physical labor and specialized technical crews.
Average generative-AI exposure of the workforce
0.286
ILO score (0–1). Rank 15 of 20 countries.
People in employment, 2025
16,665,000
ILO modelled estimate
What people in Saudi Arabia 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) |
|---|---|---|
| Professionals |
21.0%
|
0.39 |
| Service and sales workers |
18.5%
|
0.26 |
| Skilled agricultural workers and elementary occupations |
14.8%
|
0.15 |
| Technicians and associate professionals |
14.1%
|
0.35 |
| Plant and machine operators, and assemblers |
13.6%
|
0.20 |
| Craft and related trades workers |
7.6%
|
0.17 |
| Managers |
5.2%
|
0.36 |
| Clerical support workers |
5.1%
|
0.53 |
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
Saudi Arabia reads most clearly as an oil-and-construction economy layered with a fast-growing, state-directed push into new sectors. Government ministries, banks, and companies tied to giga-projects have adopted AI-assisted tools for administration, reporting, and citizen services relatively quickly, reflecting deliberate national policy. At the same time, oil extraction and processing, the vast construction effort behind new cities and infrastructure, and a public sector still central to citizen employment depend on physical operations and administrative roles that are only partially touched by that same policy push.
What drives the figure
Saudi Arabia concentrates employment in oil and petrochemicals, construction and infrastructure development, public administration, retail, and a fast-expanding tourism, entertainment, and hospitality sector tied to national diversification goals. AI pressure concentrates in government administrative processing, banking and financial services, and corporate reporting functions, areas the national transformation strategy specifically targets for modernization. It is far lighter in oil-field operations, refining and petrochemical plant work, and the large-scale construction trades building new infrastructure, all of which depend on specialized technical skill and physical presence on site.
What Holds Up Better
What holds up in Saudi Arabia is work tied to energy-sector operations, large-scale construction, and the physical rollout of the country's development agenda. Oil and petrochemical plant operators, maintenance technicians, and safety personnel remain essential because equipment monitoring and emergency response require people on site, not just data review. The enormous construction effort behind new cities and tourism infrastructure also depends on skilled trades and site supervision that cannot be virtualized, and hospitality roles tied to the growing tourism sector depend on direct guest service.
What This Page Does Not Claim
A national score for Saudi Arabia has to combine a still-dominant oil and construction economy with a public sector and financial industry being deliberately modernized through top-down policy, two very different change dynamics. The pace of diversification also varies by region and by how directly a sector connects to national transformation initiatives versus traditional oil-economy employment. Read the score alongside how exposed a given sector is to policy-driven modernization versus oil, construction, and site work.
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 Saudi Arabia, 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 | Editor | Professionals | 94 |
| 17 | Telemarketer | Service and sales workers | 93 |
| 18 | Journalist | Professionals | 93 |
| 19 | Database Administrator | Professionals | 92 |
| 20 | Economist | Professionals | 92 |
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 | Housekeeper | Skilled agricultural workers and elementary occupations | 13 |
| 2 | Fisherman | Skilled agricultural workers and elementary occupations | 17 |
| 3 | Construction Worker | Skilled agricultural workers and elementary occupations | 19 |
| 4 | Firefighter | Service and sales workers | 25 |
| 5 | Farmer | Skilled agricultural workers and elementary occupations | 32 |
| 6 | Dentist | Professionals | 33 |
| 7 | Warehouse Operator | Skilled agricultural workers and elementary occupations | 34 |
| 8 | Security Guard | Service and sales workers | 39 |
| 9 | Barista | Service and sales workers | 39 |
| 10 | Surgeon | Professionals | 39 |
| 11 | Bartender | Service and sales workers | 43 |
| 12 | Cook | Service and sales workers | 44 |
| 13 | Veterinarian | Professionals | 47 |
| 14 | Police Officer | Service and sales workers | 47 |
| 15 | Teaching Assistant | Service and sales workers | 48 |
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 Saudi Arabia?
Most exposed: Interpreter, Translator, Web Developer. Saudi Arabia concentrates employment in oil and petrochemicals, construction and infrastructure development, public administration, retail, and a fast-expanding tourism, entertainment, and hospitality sector tied to national diversification goals. AI pressure concentrates in government administrative processing, banking and financial services, and corporate reporting functions, areas the national transformation strategy specifically targets for modernization.
Q.Which jobs are safest from AI in Saudi Arabia?
Least exposed: Housekeeper, Fisherman, Construction Worker. What holds up in Saudi Arabia is work tied to energy-sector operations, large-scale construction, and the physical rollout of the country's development agenda. Oil and petrochemical plant operators, maintenance technicians, and safety personnel remain essential because equipment monitoring and emergency response require people on site, not just data review.
Q.How exposed is Saudi Arabia to AI automation?
Saudi Arabia reads most clearly as an oil-and-construction economy layered with a fast-growing, state-directed push into new sectors. Government ministries, banks, and companies tied to giga-projects have adopted AI-assisted tools for administration, reporting, and citizen services relatively quickly, reflecting deliberate national policy. At the same time, oil extraction and processing, the vast construction effort behind new cities and infrastructure, and a public sector still central to citizen employment depend on physical operations and administrative roles that are only partially touched by that same policy push.
Q.Does high exposure mean jobs will disappear in Saudi Arabia?
A national score for Saudi Arabia has to combine a still-dominant oil and construction economy with a public sector and financial industry being deliberately modernized through top-down policy, two very different change dynamics. The pace of diversification also varies by region and by how directly a sector connects to national transformation initiatives versus traditional oil-economy employment. Read the score alongside how exposed a given sector is to policy-driven modernization versus oil, construction, and site work.