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?

21%

AI can already do 21% of this job.

#445 / 643

Art conservator

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Cleaning, fill, inpainting and protection. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Reversibility, and not overworking the piece. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Report, dossier and the owner’s or museum’s yes. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Transport, climate and the piece’s setting. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Ethics and liability for what is touched. Estimate No 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

IS WORK OVER?

28%

#109 / 643

BIM modeller

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
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low