Securities and finance dealer
AI displacement risk
26%
Range 20.01–31.85%
Securities and finance dealer has 82% AI task overlap but 50% human bottleneck protection — at the 73rd percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces.
Professionals·SGD 7,896/mo (5,200–17,203)·~5.0K workers in SG·Updated 2026-06-11
Structural pressure, not a prediction of job loss. Displacement tends to arrive through slower hiring, wage compression and role redesign before layoffs.
Why This Score
82% of tasks overlap with current AI
50% human advantage from judgment & presence
66% demand buffer from the local labour market
AI usage 0pp below 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. Score stability: watch. How this works
Tasks AI can handle
With 82% AI task overlap (based on Felten AIOE, Anthropic Economic Index, and Eloundou GPT exposure), the Securities and finance dealer tasks most exposed include: report drafting, data compilation, meeting summarization, email triaging, and standard analytical tasks.
- • Pay winnings or collect losing bets as established by the rules and procedures of a specific game.
- • Greet customers and make them feel welcome.
- • Exchange paper currency for playing chips or coin money.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 50% human bottleneck protection, the tasks that remain hardest to automate for Securities and finance dealer include: strategic decision-making, client relationship management, professional judgment in edge cases, cross-functional coordination, and ethical oversight.
Main insulation channels: Deep preparation + Non-routine work — the work-context dimensions behind this occupation's human bottleneck.
Skills to focus on
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (Science, 2024), Pizzinelli et al. bottleneck model. Full methodology.
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
3.1%
↓ 3.1% YoY
Hiring
1.5%
vs 0.9% resign
Retrenchment
1.5
per 1,000 · low
Re-entry
67.7%
find work in 12mo· -5.3pp
Professionals, Managers, Executives & Technicians · 2025 Q4
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
What You Can Do
Securities and finance dealer has some offset potential, but it depends on task redesign holding up in practice and on workers clearing the main switching frictions.
Published transition support
Related roles you could transition to
Risk-reducingHigh displacement pressure, but comparatively credible risk-reducing moves exist — the strongest scores 71% match. Escape-route quality, not pressure alone, shapes how risk resolves.
Compare within Professionals
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 73% of occupations · V7 structural score
Raw scores
AIOE 1.371 · θ 0.675 · C-AIOE 1.111
Stability
watch · Optimistic 24% · Pessimistic 34%
Score range (best/worst case)
Exposure 68–95% · Net risk 20.01–31.85%
Scoring basis
V7 structural score. Uses task-concentration-weighted exposure, human bottleneck, and demand resilience. V6 baseline fields are retained for release-to-release comparison.-2.6pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 5,200 · Median 7,896 · 75th 17,203
Evidence & sources
Data matching
direct · SSOC 24141
Real-world AI usage: 0% vs estimated
Data quality
72% · Matching 0.98 · Market data 0.70 · Freshness 0.80
Capped at high · Final rating: medium · capped for conflicting signals
100% weighted task match · 0% effective coverage
AI overlap by data source
Weights: aioe 32% · anthropic 35% · eloundou 33%
Conflicting data signals
Tools & offset factors
What helps
- A meaningful share of the work can likely be reorganized around AI rather than removed outright.
What could slow it down
- Current demand support is thin, so offsets may take longer to show up.
- Employer-side pressure is still elevated in nearby functions.
Worker profile & local context
- Vacancy rate is 3.1% and was essentially flat versus last quarter.
- Hiring read: recruitment is running above resignation (1.5% vs 0.9%).
- Retrenchment was low at 1.5 per 1,000 employees.
- 67.7% of retrenched workers re-entered employment within 12 months.
- Employer pressure is high, based on 8 recent Singapore-relevant company signals.
Worker profile
Gender mix
41% male / 59% femalePublished Singapore worker composition for the detailed occupation family 24 Business & Administration Professionals.
Employment structure
Employee-heavy96% employees, 4% employers or self-employed workers.
Work arrangement
Mostly full-time4% part-time and 96% full-time in 2025.
Age profile
Mid-career heavy14% aged 15 to 29, 62% aged 30 to 49, and 24% aged 50 or older.
Qualification mix
Degree-heavyDegree 81%; Diploma / professional qualification 15%.
Gross wage by sex
Female median 19% lowerPublished June 2024 gross wage medians: male $8,364, female $6,772.
Where this work is concentrated
Top planning areas
Sengkang, Bedok, Tampines19% of workers in this occupation group live in these three planning areas.
Residential concentration
Broadly distributed30% live across the top five planning areas in the 2020 Census.
Commute pattern
Mid-range commutesEstimated average commute 37.5 minutes. 33% take 46 minutes or more.
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)
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.
Frequently asked questions
Will AI replace Securities and finance dealer?
Securities and finance dealer has 82% AI task overlap but 50% human bottleneck protection — at the 73rd percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces. Net displacement risk: 26% (Moderate). Median wage: SGD 7,896/month.
What is the AI risk score for Securities and finance dealer?
Securities and finance dealer has an AI displacement risk of 26%, rated Moderate. AI task overlap: 82%. Human advantage: 50%. Local demand buffer: 66%.
What career transitions are available for Securities and finance dealer?
Securities and finance dealer has modeled transition pathways to related occupations. The strongest adjacent pathway is Foreign exchange dealer, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Securities and finance dealer salary compare in the live market?
Securities and finance dealer earns a median gross wage of SGD 7,896/month in the live market (25th-75th percentile: SGD 5,200-17,203). This is 75% above median across all 562 scored occupations, and 21% above group median within Professionals occupations.