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?
Special-education teacher
22%
AI can already do 22% of this job.
#349 / 633
View rankingSpecial-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.
| Task | Share | AI | Points |
|---|---|---|---|
IEP, aims and coordination.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Classroom, support and the one who overflows.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Family, the report and not selling miracles.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Yard, inclusion and the one left alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Staff, resources and fighting for the place.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Really in the group, not on paper.EstimateNo 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
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
IS WORK OVER?
Tram driver
19%
#487 / 633
View rankingTram 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.
| Task | Share | AI | Points |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311