AI Job Risk in Singapore

Artificial intelligence will transform this labor market in different ways across industries.

Jobs involving repetitive tasks are more likely to be automated, while professions requiring human interaction and physical skills remain more resilient.

What to keep in mind first

Singapore concentrates finance, logistics, administration, and technology inside a small, highly connected market, so the effects of AI tend to become visible quickly. At the same time, the country puts heavy weight on precision and regulatory discipline, which means faster processing does not easily erase human responsibility.

Average AI Risk

47.76 / 100

Jobs Analyzed

204

How to read this page in practice

The notes below explain how to interpret the country score, what kinds of sector mix usually raise or lower it, and what this comparison can and cannot tell you.

How to Read This Country

This country page is most useful when it shows how dense finance, logistics, administration, and technology can combine high processing speed with heavy accountability. Singapore has unusually high concentrations of finance, logistics, technology, and public administration, and AI adoption tends to move quickly there. But because many roles inside a compact market carry several functions at once, the labor market cannot be read through a simple replacement story alone.

What Drives the Score

Document work, comparison, analysis, and monitoring are all highly exposed to AI support in Singapore. Still, work tied to international logistics, financial regulation, and administrative operations keeps a stronger human role because precision and explainability remain central.

What Holds Up Better

What stays strongest in Singapore is work where accuracy matters more than speed and work that has to align several stakeholders at once. Even where efficiency rises, people continue to carry responsibility in roles where the cost of error remains high.

What This Page Does Not Claim

This page is designed to capture national direction rather than separate financial work from on-the-ground service work in fine detail. Read the score together with both the density of advanced data work and the weight of regulatory and operational responsibility.

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.

Rank	Job	Risk Score
1	Data Entry Clerk	81
2	Retail Cashier	78
3	Truck Driver	77
4	Bookkeeper	75
5	Court Reporter	75
6	Accounting Clerk	74
7	Software Tester	73
8	Receptionist	73
9	Proofreader	73
10	Insurance Underwriter	72
11	Data Analyst	72
12	Paralegal	72
13	Civil Drafter	72
14	Taxi Driver	71
15	Translator	71
16	Travel Agent	70
17	Bank Teller	69
18	System Administrator	68
19	Tax Preparer	67
20	Train Operator	67

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	Risk Score
1	Surgeon	10
2	Therapist	11
3	Plumber	11
4	Judge	12
5	Psychologist	12
6	Electrician	12
7	Paramedic	14
8	Nurse	15
9	Dentist	15
10	School Counselor	16
11	Psychiatrist	16
12	Athletic Coach	16
13	Veterinarian	17
14	Professor	18
15	Doctor	18
16	Air Traffic Controller	20
17	Social Worker	20
18	Fitness Trainer	20
19	Elevator Technician	21
20	Aircraft Mechanic	22

Industry Risk

This table compares the industries that shape the country score today. It is most useful for seeing which parts of the economy pull the average up or down.

Industry	Industry Average Risk Score
Retail	61.5
Media	60.83
Finance	58.67
Technology	51.13
Transportation	45.3
Legal	42.75
Hospitality	35.54
Construction	34.25
Education	31.58
Healthcare	26.13

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