IS WORK OVER?

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

Special-education teacher

Where the time goes

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.

TaskShareAIPoints
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
Total100%22%

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

Skills and activities

  • IEP
  • classroom support
  • family reports
  • inclusion
  • the yard
  • resources
  • places
  • overflow

Sources for this job· O*NET 25-2051.00· ESCO/ISCO 2352

Job insertion technician

Where the time goes

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.

TaskShareAIPoints
Employer prospecting and the agreements.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Go with them to the job and the first day.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Follow-up, incidents and the one who quits.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Reports, indicators and justifying the grant.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The hard candidate and the employer who pulls out.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That they stay, and not dressing the figure.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%24%

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

Skills and activities

  • prospect employers
  • place candidates
  • follow up in post
  • insertion agreements
  • justify grants
  • job accompaniment
  • workplace incidents
  • insertion indicators

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2423

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