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?
Home-automation installer
23%
#306 / 643
View rankingHome-automation installer
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 |
|---|---|---|---|
Diagram, buses and scene programming.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Wire, sensors and the switch that does not answer.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Integrate lights, climate and the client app.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Train, guest mode and the one who breaks it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The lived-in house and not leaving it dark.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That it obeys, and not needing the cloud for a switch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- program scenes
- home buses
- integrate climate
- sensors
- home app
- switches
- guest mode
- wire KNX
Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411