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

Cleaner

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
Logs, checklists and product orders.
Estimate

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

14%32%+4.5
Scrubber-driers and dosing.
Estimate

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

12%22%+2.6
Mop, vacuum, disinfect and restock.
Estimate

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

26%10%+2.6
Waste, linen and sensitive areas.
Estimate

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

16%12%+1.9
Shifts, keys and dealing with users.
Estimate

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

16%14%+2.2
Surprises: vomit, works, a complaint.
Estimate

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

16%16%+2.6
Total100%16%

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

Skills and activities

  • Logs, checklists and product orders
  • Scrubber-driers and dosing
  • Mop, vacuum, disinfect and restock
  • Waste, linen and sensitive areas
  • Shifts, keys and dealing with users
  • Surprises: vomit, works, a complaint
  • limpiador
  • limpiadora
  • personal de limpieza
  • cleaner

Sources for this job· O*NET 37-2011.00· ESCO/ISCO 9112

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