Automation index
How much of a Art conservator’s job can AI already do?
A photo and an analysis come earlier. The scalpel, and not loading the work, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Art conservator
21%
AI can already do 21% of this job.
#445 / 643
View rankingArt conservator
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 |
|---|---|---|---|
Survey, photos, analysis and the treatment proposal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Cleaning, fill, inpainting and protection.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Reversibility, and not overworking the piece.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, dossier and the owner’s or museum’s yes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Transport, climate and the piece’s setting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Ethics and liability for what is touched.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- conserve art
- clean paint
- inpainting
- fills
- treatment report
- reversibility
- analyse the work
- not overworking the piece
Sources for this job· O*NET 25-4013.00· ESCO/ISCO 2621
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324