Q4 2024 Quarterly Report

AI Work Index — Quarterly Snapshot

This is an archived report surface for Q4 2024. It is rendered with the current V4.1 methodology and source registry, so later sources and labels may appear below. Read it as a historical snapshot rebuilt under the current pipeline, not as a period-authentic 2024 publication.

Occupations

562

Avg Net Risk

20.7%

In-Demand

SOL + Jobs in Demand

AI-Calibrated

507

Anthropic observed usage

Risk Distribution

How 562 occupations distribute across AI risk levels

Very Low

108

Low

191

Moderate

110

High

102

Very High

Highest Risk

1. Enumerator/Market research interviewer 78%2. Statistical clerk 78%3. Clearing and forwarding agent 77%4. Shipping agent/Boarding officer 76%5. Data entry clerk 74%

Full list →

Augmented

1. In-house legal counsel (except judiciary, ministries and statutory boards) 42%2. Managing director/Chief executive officer 41%3. Nutritionist 40%4. Editor (news and periodicals) 40%5. Management consultant 40%

Full list →

Theory vs Practice

1. Building painter +75pp 2. Audiologist -65pp 3. Speech therapist -65pp 4. Library officer -64pp 5. Website administrator/Webmaster +60pp

Full list →

Labour Market Signals

Cluster-level vacancy and hiring data from MOM/SingStat

Professionals, Managers, Executives & Technicians

365 occupations ↓ -3.1%

Vacancy 3.1% weak

39.6 vacancies ↓ -4.3%

Clerical, Sales & Service Workers

88 occupations ↓ -11.4%

Vacancy 3.1% deteriorating

14.3 vacancies ↓ -12.8%

Production & Transport Operators, Cleaners & Labourers

109 occupations ↑ +16.7%

Vacancy 2.8% strong

21.7 vacancies ↑ +20.6%

Sources: MOM Singapore (wages, employment, vacancy, retrenchment), O*NET, Felten AIOE 2021, Pizzinelli/IMF 2023, Anthropic Economic Index Jan 2026, Eloundou GPT exposure, ILO occupational exposure, SOL 2026, Jobs in Demand 2025.

Rendered with current Scoring V4.1. All scores deterministic and reproducible. Methodology · Download data