Automation index

How much of a Special-education teacher’s job can AI already do?

An IEP comes earlier. Adapting so they are really in the group 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.

#436 / 773

Special-education 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
IEP, aims and coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Classroom, support and the one who overflows. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Family, the report and not selling miracles. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Yard, inclusion and the one left alone. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Staff, resources and fighting for the place. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Really in the group, not on paper. 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?

27%

#192 / 773

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