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AI Work Index

Proofreading clerk

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AI Exposure Rank

76/100

High

Range 49–99/100 across source-weight sensitivity checks

Proofreading clerk has an AI Exposure Rank of 76/100, meaning its work is more exposed to current AI capabilities than approximately 76% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss.

Workflow redesignClassification uncertain

Clerical Support Workers·SGD 5,000/mo (3,600–7,000)·~1.7K workers in SG·Updated 2026-07-17

Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.

Wage 57% above group median Exposure 2pp above group median #20 of 43 in Clerical Support Workers →
01

How This Rank Is Built

The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. Score stability: watch. How this works

Tasks AI can handle

With 75% AI task overlap (based on Felten AIOE and ILO occupational exposure), the Proofreading clerk tasks most exposed include: data entry, invoice processing, appointment scheduling, document filing, and standard correspondence drafting.

  • • Track the status of requisitions, contracts, and orders.
  • • Respond to customer and supplier inquiries about order status, changes, or cancellations.
  • • Locate suppliers, using sources such as catalogs and the internet, and interview them to gather information about products to be ordered.

O*NET tasks for this occupation with the most observed Claude usage (Anthropic task data).

What AI can't do here

At 4% human bottleneck protection, the tasks that remain hardest to automate for Proofreading clerk include: exception handling for non-standard requests, institutional knowledge of internal processes, coordinating across departments, and managing sensitive information.

Skills to focus on

Process OptimizationAI Tool ProficiencyInstitutional KnowledgeException Handling

Sources: Felten AIOE (2021), ILO GenAI (2025), Pizzinelli et al. bottleneck model. Full methodology.

From exposure to employment

What could change the employment outcome?

AI capability is only the starting point. Adoption, task design, human oversight, demand, mobility and evidence quality determine how exposure may resolve in practice.

01

Workplace adoption

Occupation-level adoption unknown

MOM does not publish a directly mappable adoption rate for the listed industries.

02

Task structure

Task evidence available

100% weighted task match · 25% effective coverage

03

Human advantage

Coordination and judgment still matter

At 4% human bottleneck protection, the tasks that remain hardest to automate for Proofreading clerk include: exception handling for non-standard requests, institutional knowledge of internal processes, coordinating across departments, and managing sensitive information.

04

Hiring and demand

3.2% vacancy rate · 2026 Q1

Clerical, sales and service vacancies recovered slightly from Q4 but remained well below a year earlier. Hiring turnover slowed, retrenchment incidence stayed low, and six-month re-entry improved. In 2025, this broad occupation group had 1.9% time-related underemployment and 12.1% non-permanent employment. Across the published male and female series, CPI-adjusted median income changed +0.1% to +3.9% from 2018 to 2023.

05

Career transitions

Material planning clerk

moderate modeled transition; outcomes still depend on skills, wages and openings.

06

Evidence strength

low confidence

2 exposure sources · sensitivity 49–99/100 across source-weight sensitivity checks.

These lenses are reported separately and do not alter AI Exposure Rank. Labour-market figures describe a broad official occupation cluster, not this SSOC occupation alone.

02

Singapore Now

Current labour market conditions and how they affect this role.

Cooling, but not collapsing. Vacancies and re-entry are softer, yet retrenchment remains low and hiring still exceeds resignations.

Vacancy

3.2%

↓ 20.0% YoY

Hiring

2.1%

vs 1.4% resign

Retrenchment

0.7

per 1,000 · low

Re-entry

68%

find work in 12mo· -10.5pp

Clerical, Sales & Service Workers · 2026 Q1

Top Industries

Wholesale & Retail Trade
16%
Transportation & Storage
11%
Health & Social Services
10%

Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.

03

What You Can Do

Proofreading clerk has some offset potential, but it depends on transition pathways holding up in practice and on workers clearing the main switching frictions.

Related roles you could transition to

Exposure-reducing

This occupation has higher relative AI exposure, and its best adjacent move ranks in the weakest quarter of exposure-reducing options. Mobility outcomes also depend on demand, wages, skills and access to credible transitions. See all occupations in this quadrant.

See how this compares to similar occupations

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Frequently asked questions

Will AI replace Proofreading clerk?

Proofreading clerk has an AI Exposure Rank of 76/100, meaning its work is more exposed to current AI capabilities than approximately 76% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss. AI Exposure Rank: 76/100 (High). Median wage: SGD 5,000/month.

What is the AI exposure rank for Proofreading clerk?

Proofreading clerk has an AI Exposure Rank of 76/100, rated High. It ranks higher than approximately 76% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.

What career transitions are available for Proofreading clerk?

Proofreading clerk has modeled transition pathways to related occupations. The strongest adjacent pathway is Material planning clerk, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.

How does Proofreading clerk salary compare in the live market?

Proofreading clerk earns a median gross wage of SGD 5,000/month in the live market (25th-75th percentile: SGD 3,600-7,000). This is 11% above median across all 562 scored occupations, and 57% above group median within Clerical Support Workers occupations.