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.
#462 / 643
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?
Development cooperation officer
26%
#217 / 643
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635