Automation index

How much of a Museum curator’s job can AI already do?

An inventory and a wall text come earlier. What goes on show, and not damaging the piece, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#337 / 763

Museum curator

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
Inventory, catalogue and write wall texts. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Curate, select and negotiate loans. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Install, lighting and preventive conservation. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Research, publications and dossiers. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Public, tours and the board. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not losing a piece or a wrong attribution. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		23%

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

IS WORK OVER?

27%

#185 / 763

QA automation engineer

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
Test, the selector and the flake. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Pipeline, the green and the one that lies. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Bug, the repro and not closing it blind. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, the environment and not sharing prod. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The developer, the rush and not skipping the one that fails. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Catch the bug, and not painting a lying green. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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