AI displacement pressure
62%
Very High RiskData processing control clerk
Data processing control clerk has 83% AI task overlap with only 2% human bottleneck protection — higher risk than 98% of occupations in the live market. Structural displacement pressure is significant.
Why This Score
83% of tasks overlap with current AI
2% human advantage from judgment & presence
46% demand buffer from the local labour market
AI usage 48pp above theoretical exposure
These factors interact with each other — the final score is not a simple sum of these bars.
How much AI overlaps with this job's tasks, offset by human advantages and local demand. How this works
Tasks AI can handle
With 83% AI task overlap (based on Felten AIOE, Anthropic Economic Index, and Eloundou GPT exposure), the Data processing control clerk tasks most exposed include: running standard statistical analyses, generating charts, cleaning data, writing SQL queries, and producing summary reports from structured data.
What AI can't do here
At 2% human bottleneck protection, the tasks that remain hardest to automate for Data processing control clerk include: framing the right question, identifying data quality issues, interpreting results in business context, communicating insights to non-technical stakeholders, and making judgment calls on methodology.
Skills to focus on
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (2023), Pizzinelli et al. bottleneck model. Full methodology.
Role profile
How this role's work breaks down across key dimensions. This is a general profile, not an individual measurement.
Workflow dimensions (0 = low, 1 = high)
Singapore Now
Current labour market conditions and how they affect this role.
Cooling, but not collapsing. Vacancies are softer, yet retrenchment remains low and hiring still exceeds resignations.
Vacancy
3.1%
↓ 11.4% YoY
Hiring
2.6%
vs 1.6% resign
Retrenchment
1.5
per 1,000 · low
Re-entry
78.5%
find work in 12mo· -1.6pp
Clerical, Sales & Service Workers · 2025 Q4
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
How this changes by career stage
Senior workers benefit from institutional knowledge and judgment that AI cannot replicate. Entry-level roles have higher task overlap with AI.
What You Can Do
Data processing control clerk has some offset potential, but it depends on transition pathways holding up in practice and on workers clearing the main switching frictions.
Published transition support
Related roles you could transition to
Similarity-basedCompare within Clerical Support Workers
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 98% of occupations
Raw scores
AIOE 0.466 · θ 0.554 · C-AIOE 0.434
Stability
stable · Optimistic 58% · Pessimistic 70%
Score range (best/worst case)
Exposure 67–98% · Net risk 48.39–74.14%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 2,598 · Median 3,480 · 75th 4,929
Evidence & sources
Data matching
direct · SSOC 43151
Real-world AI usage: +48% vs estimated
Data quality
67% · Matching 0.66 · Market data 0.70 · Freshness 0.80
Task-weighted shadow evidence is not active for this occupation yet.
AI overlap by data source
Weights: aioe 32% · anthropic 35% · eloundou 33%
Conflicting data signals
Tools & offset factors
What helps
- Nearby moves and published transition support look reasonably strong.
What could slow it down
- Current demand support is thin, so offsets may take longer to show up.
Worker profile & local context
- Vacancy rate is 3.1% and fell by 0.2 points from last quarter.
- Hiring read: recruitment is running above resignation (2.6% vs 1.6%).
- Retrenchment was low at 1.5 per 1,000 employees.
- 78.5% of retrenched workers re-entered employment within 12 months.
- Employer pressure is low, based on 1 recent Singapore-relevant company signals.
Worker profile
Gender mix
37% male / 63% femalePublished Singapore worker composition for the detailed occupation family 43 Numerical & Material-Recording Clerks.
Employment structure
Employee-heavy99% employees, 1% employers or self-employed workers.
Work arrangement
Mostly full-time13% part-time and 87% full-time in 2025.
Age profile
Older-skewing16% aged 15 to 29, 35% aged 30 to 49, and 49% aged 50 or older.
Qualification mix
Mixed qualificationsSecondary 29%; Diploma / professional qualification 28%.
Gross wage by sex
Near parityPublished June 2024 gross wage medians: male $3,554, female $3,413.
Where this work is concentrated
Top planning areas
Jurong West, Tampines, Woodlands22% of workers in this occupation group live in these three planning areas.
Residential concentration
Moderately clustered35% live across the top five planning areas in the 2020 Census.
Commute pattern
Longer commutesEstimated average commute 39.7 minutes. 38% take 46 minutes or more.
Frequently asked questions
Will AI replace Data processing control clerk?
Data processing control clerk has 83% AI task overlap with only 2% human bottleneck protection — higher risk than 98% of occupations in the live market. Structural displacement pressure is significant. Net displacement risk: 62% (Very High). Median wage: SGD 3,480/month.
What is the AI risk score for Data processing control clerk?
Data processing control clerk has an AI displacement risk of 62%, rated Very High. AI task overlap: 83%. Human advantage: 2%. Local demand buffer: 46%.
What career transitions are available for Data processing control clerk?
Data processing control clerk has modeled transition pathways to related occupations. The strongest adjacent pathway is Energy engineer, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Data processing control clerk salary compare in the live market?
Data processing control clerk earns a median gross wage of SGD 3,480/month in the live market (25th-75th percentile: SGD 2,598-4,929). This is 23% below median across all 562 scored occupations, and 9% above group median within Clerical Support Workers occupations.