AI Job Risk in Singapore

Average generative-AI exposure of the workforce

0.341

ILO score (0–1). Rank 1 of 20 countries.

People in employment, 2025

3,510,000

ILO modelled estimate

What people in Singapore 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	27.7%	0.39
Technicians and associate professionals	19.5%	0.35
Managers	18.0%	0.36
Service and sales workers	10.6%	0.26
Clerical support workers	9.1%	0.53
Skilled agricultural workers and elementary occupations	7.5%	0.15
Plant and machine operators, and assemblers	5.5%	0.20
Craft and related trades workers	2.2%	0.17

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

Singapore is easiest to read by separating high-volume financial and trade-document processing from the physical and regulatory work anchored around its port and regional headquarters role. As a dense financial center serving regional clients, back-office banking, compliance-document review, and administrative reporting are prime candidates for AI support. That does not extend as cleanly to port and maritime logistics, where physical cargo handling and vessel coordination stay grounded in the real world, or to the regulatory and cross-border legal work that keeps multinational firms anchored here for its reputation for reliable oversight.

What drives the figure

Singapore's economy concentrates in banking and wealth management, port operations and maritime logistics, business and legal services supporting regional headquarters, and a growing technology sector. AI pressure is heaviest in banking operations, compliance documentation, trade-finance processing, and corporate administrative services, where large multinational back offices already run heavily standardized workflows. It is lighter in port and terminal operations, where physical container handling and vessel scheduling require on-the-ground coordination, and in the regulatory, tax, and legal advisory work that draws multinational firms to base regional operations in Singapore for its institutional predictability.

What Holds Up Better

What stays durable in Singapore is work built on regulatory trust and physical trade infrastructure. Compliance officers, cross-border legal and tax advisors, and relationship-focused private bankers remain valuable because Singapore's appeal as a business hub rests on institutional credibility that requires accountable human sign-off. Port operations, maritime logistics coordination, and supply-chain management roles also hold up because moving physical goods through one of the world's busiest ports still depends on real-time, on-site coordination.

What This Page Does Not Claim

A single national score compresses a genuinely dual economy: a small, highly automatable financial and administrative core, and a physical logistics and port sector that is comparatively insulated. Singapore's small size and high skill base also mean displaced back-office workers can be redeployed within the same tight labor market faster than in larger, more fragmented economies. Read the score together with the balance between financial-sector processing work and the port-and-trade infrastructure that anchors the physical economy.

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 Singapore, 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	Journalist	Professionals	93
20	Database Administrator	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	Ship Engineer	Technicians and associate professionals	27
2	Water Treatment Operator	Technicians and associate professionals	27
3	Veterinary Assistant	Technicians and associate professionals	28
4	Paramedic	Technicians and associate professionals	32
5	Dentist	Professionals	33
6	Laboratory Technician	Technicians and associate professionals	37
7	Pilot	Technicians and associate professionals	39
8	Power Plant Operator	Technicians and associate professionals	39
9	Fitness Trainer	Technicians and associate professionals	39
10	Surgeon	Professionals	39
11	Sound Engineer	Technicians and associate professionals	41
12	Ship Captain	Technicians and associate professionals	42
13	Chef	Technicians and associate professionals	44
14	Medical Assistant	Technicians and associate professionals	46
15	Veterinarian	Professionals	47
16	Athletic Coach	Technicians and associate professionals	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.

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 Singapore?

Most exposed: Interpreter, Translator, Web Developer. Singapore's economy concentrates in banking and wealth management, port operations and maritime logistics, business and legal services supporting regional headquarters, and a growing technology sector. AI pressure is heaviest in banking operations, compliance documentation, trade-finance processing, and corporate administrative services, where large multinational back offices already run heavily standardized workflows.

Q.Which jobs are safest from AI in Singapore?

Least exposed: Ship Engineer, Water Treatment Operator, Veterinary Assistant. What stays durable in Singapore is work built on regulatory trust and physical trade infrastructure. Compliance officers, cross-border legal and tax advisors, and relationship-focused private bankers remain valuable because Singapore's appeal as a business hub rests on institutional credibility that requires accountable human sign-off.

Q.How exposed is Singapore to AI automation?

Singapore is easiest to read by separating high-volume financial and trade-document processing from the physical and regulatory work anchored around its port and regional headquarters role. As a dense financial center serving regional clients, back-office banking, compliance-document review, and administrative reporting are prime candidates for AI support. That does not extend as cleanly to port and maritime logistics, where physical cargo handling and vessel coordination stay grounded in the real world, or to the regulatory and cross-border legal work that keeps multinational firms anchored here for its reputation for reliable oversight.

Q.Does high exposure mean jobs will disappear in Singapore?

A single national score compresses a genuinely dual economy: a small, highly automatable financial and administrative core, and a physical logistics and port sector that is comparatively insulated. Singapore's small size and high skill base also mean displaced back-office workers can be redeployed within the same tight labor market faster than in larger, more fragmented economies. Read the score together with the balance between financial-sector processing work and the port-and-trade infrastructure that anchors the physical economy.