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

DJ

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
Prep crates, edits and setlists.
Estimate

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

18%42%+7.6
Promo, contracts and riders.
Estimate

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

16%30%+4.8
Play live and read the floor.
Estimate

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

24%8%+1.9
Room sound, desk and technical faults.
Estimate

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

14%12%+1.7
Venue, talent buyer and crowd.
Estimate

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

14%14%+2
Brand, touring and own catalogue.
Estimate

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

14%16%+2.2
Total100%20%

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

Skills and activities

  • Prep crates, edits and setlists
  • Promo, contracts and riders
  • Play live and read the floor
  • Room sound, desk and technical faults
  • Venue, talent buyer and crowd
  • Brand, touring and own catalogue
  • pinchadiscos
  • disc jockey

Sources for this job· O*NET 27-2042.00· ESCO/ISCO 2652

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