Automation index

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

A teaching sheet comes earlier. Thirty schoolchildren in front of the work, actually looking, do not.

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

Task comparison

IS WORK OVER?

24%

AI can already do 24% of this job.

#264 / 633

Museum educator

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
Sheets, routes and the teaching kit. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
The tour, the group that will not quiet, and the work. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Workshops, families and Sunday at the museum. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
School, bookings and the missing mediator. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Access, the public who do not come in, and adapting. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they actually look, and not reciting the label. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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

IS WORK OVER?

23%

#301 / 633

Home-automation installer

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the switch that does not answer. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Integrate lights, climate and the client app. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train, guest mode and the one who breaks it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in house and not leaving it dark. Estimate No 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. Estimate No 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