Automation index

How much of a PE teacher’s job can AI already do?

A stock session comes earlier. Getting them actually moving without getting hurt do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#367 / 633

PE teacher

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
Session, aims and the kit. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Yard, the group and the one who will not. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Injury, protocol and calling home. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Assess, the report and not giving a 10 for quiet. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Staff, the rain and not leaving them in the corridor. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they move, and not getting hurt. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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

IS WORK OVER?

21%

#439 / 633

Network technician

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
Diagrams, inventory and standard configs. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Tickets, remote diagnosis and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pulling, racking, crimping and labelling. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Bring up links, VLANs and site Wi-Fi. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, outages and user care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Vendors, civil work and access. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

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