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

Taxi driver

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
Navigate, take payment and log shifts.
Estimate

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

16%40%+6.4
Find the passenger and read the city.
Estimate

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

16%12%+1.9
Drive safely in all kinds of traffic.
Estimate

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

22%8%+1.8
Care, luggage and passenger languages.
Estimate

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

16%15%+2.4
Car maintenance and shifts.
Estimate

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

16%18%+2.9
Licences, radio and zone knowledge.
Estimate

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

14%22%+3.1
Total100%19%

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

Skills and activities

  • drive
  • route
  • load goods
  • Navigate, take payment and log shifts
  • Find the passenger and read the city
  • Drive safely in all kinds of traffic
  • Care, luggage and passenger languages
  • Car maintenance and shifts
  • Licences, radio and zone knowledge
  • taxista

Sources for this job· O*NET 53-3054.00· ESCO/ISCO 8322

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