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?

28%

#115 / 633

Technical writer

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
Structure, API docs and the tutorial. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Screenshots, versions and not leaving the old shot. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The engineer who will not write, and extracting the how. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Legal review, i18n and the changelog. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Support, the tickets and what the doc misses. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be installed, and not documenting thin air. 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