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?
Cartographer
31%
#31 / 633
View rankingCartographer
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 |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165