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Singapore median salary by occupation, and how exposed each job is to AI

The headline median is S$5,775 a month. What your own occupation pays is a different number from a different survey. Here are both, with the AI exposure score for each job.

By Huper Technology · Published 2 November 2026 · Wages: MOM, June 2024 and June 2025

The median full-time employed resident in Singapore earned S$5,775 a month in 2025, including employer CPF (MOM). For individual jobs, MOM's Occupational Wage Survey puts the median gross wage of, for example, an accountant at S$5,498, a registered nurse at S$5,276 and a software developer at S$8,888 a month (June 2024, excluding employer CPF and bonuses).

Two "median salaries", and why they don't match

Most articles quote one figure for "the median salary in Singapore". MOM publishes two kinds of numbers, and they measure different things.

So an occupation that pays a median S$5,500 gross wage is not "below the median" of S$5,775. Employer CPF alone adds 17% of wages for most employees aged 55 and below, up to the CPF wage ceiling. Compare occupation wages with each other, not with the headline figure.

Median pay and AI exposure for 27 common jobs

The table uses MOM's all-industries figures for June 2024. The middle 50% column is the range between the 25th and 75th percentile, which shows how widely pay spreads within a job. The AI exposure score (0 to 10) estimates how much of the job's day-to-day work overlaps with what current AI can already do. It is explained on the map.

OccupationMedian / monthMiddle 50%AI exposure
In-house legal counselS$17,97212,000–22,2188
University lecturerS$12,9909,434–17,8507
Data scientistS$9,0476,890–12,1328
Software developerS$8,8886,658–13,5139
Marketing managerS$8,8416,000–13,0617
Human resource managerS$8,1975,777–12,9197
Financial analystS$7,5005,460–10,7848
Web and mobile applications developerS$7,0006,050–9,3148
Civil engineerS$6,5004,900–8,1656
Accountant (excluding tax accountant)S$5,4984,600–6,6958
Pharmacist (patient care)S$5,4664,504–7,3466
Registered nurseS$5,2764,261–6,8355
Enrolled/assistant nurseS$4,9043,344–6,7053
Human resource officerS$4,0003,600–4,8007
Pre-primary education teacherS$4,0003,600–4,8002
Assistant accountantS$3,8853,300–4,5758
Bus driverS$3,7822,289–5,1373
Graphic designerS$3,7653,010–4,4968
BookkeeperS$3,2001,792–5,7889
Customer service officer/clerkS$3,1902,349–4,2648
Private security officerS$2,7482,250–2,9712
Receptionist (general)S$2,7241,977–3,3497
Shop sales assistantS$2,3591,600–2,8004
Cook (commis cook 2/3)S$2,0281,500–2,9553
Data entry clerkS$2,0001,500–2,92510
Office and commercial indoor cleanerS$1,6411,440–1,8012
WaiterS$1,5651,400–2,0992

Median and percentile gross monthly wages of full-time resident employees, all industries, June 2024. Source: MOM Occupational Wages 2024, Table 4. AI exposure: Huper Technology, CC-BY 4.0.

Pay and AI exposure rise together, up to a point

Across all 481 occupations on the map, better-paid jobs tend to score higher for AI exposure. Of the 35 occupations with a median gross wage of S$10,000 or more, 25 score 7 or higher. Of the 59 occupations paying under S$2,500, 49 score below 4. Earlier waves of automation reached the factory floor first. Generative AI overlaps most with desk work.

The link breaks at the top of the scale. The typical occupation scoring 7 pays S$6,717 a month, but the typical one scoring 9 pays S$3,875 and the two scoring 10 (data entry clerk and telemarketer) pay S$3,036. Those top scores belong mostly to routine clerical roles such as ledger clerks, payroll clerks and bookkeepers, where much of the work is structured data handling.

AI exposure scoreOccupationsTypical median / month
118S$1,720
252S$2,532
345S$3,421
428S$3,453
565S$4,461
686S$5,808
7113S$6,717
859S$5,366
913S$3,875
102S$3,036

"Typical" is the median of the occupation medians at each score, unweighted by headcount. One occupation with a half-point score (3.5) is grouped under 3. Source: MOM Occupational Wages 2024, Table 4; Huper Technology exposure scores.

What a high score means for your pay

A high exposure score does not mean a job is going away, and it says nothing direct about where pay is heading. It estimates how much of the daily work current AI can already do, which usually means the work changes.

Employment trends make the point. ICT professionals, a cluster that includes software developers, have an average exposure of 7.5 and grew 37.9% between 2021 and 2025. General and keyboard clerks average 8.7 and shrank 15.5% over the same years. Both groups are highly exposed. Their paths split. These trends come from MOM's Labour Force in Singapore Table D8 and are measured for whole clusters, not for single occupations.

For a fuller look at which parts of the workforce are growing and shrinking, read Is AI replacing jobs in Singapore?

Your job isn't in the table? The map covers 481 occupations, each with its median pay, typical pay range, AI exposure score and the reasoning behind the score.

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Notes on the data

Sources