Automation index
How much of a Window dresser’s job can AI already do?
A plan and a moodboard come earlier. A window that actually stops someone does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Window dresser
20%
AI can already do 20% of this job.
#467 / 653
View rankingWindow dresser
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Plans, moodboards and a first digital mock-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Build, light and dress the window.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Brand, shop and trading calendar.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Mannequins, props and strike.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Rules, safety and street hours.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not leaving a window nobody gets.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Build, light and dress the window
- Brand, shop and trading calendar
- Mannequins, props and strike
- Rules, safety and street hours
- Not leaving a window nobody gets
- escaparatista
- visual merchandiser
- window dresser
Sources for this job· O*NET 27-1026.00· ESCO/ISCO 3432
IS WORK OVER?
Clinical research associate
27%
#172 / 653
View rankingClinical research associate
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131