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.

#436 / 633

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?

31%

#33 / 633

Information specialist

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
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

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