Automation index
How much of a Teaching assistant’s job can AI already do?
A worksheet and a support note come earlier. Sitting with the one who is stuck does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Teaching assistant
20%
AI can already do 20% of this job.
#442 / 633
View rankingTeaching assistant
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 |
|---|---|---|---|
Prepare materials and adaptations.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Support in class, playground and dining hall.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Accompany SEN and small mediation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Notes to the teacher and incident log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Stock, copies and classroom order.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not labelling and not leaving a child alone.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- design interfaces
- prototypes
- figma
- Prepare materials and adaptations
- Accompany SEN and small mediation
- Notes to the teacher and incident log
- Stock, copies and classroom order
- auxiliar docente
- teaching assistant
Sources for this job· O*NET 25-9042.00· ESCO/ISCO 5312
IS WORK OVER?
Order picker
22%
#364 / 633
View rankingOrder picker
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 |
|---|---|---|---|
List, location and the scan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Aisle, height and the parcel that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Errors, the short and calling it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Pace, the shift and the pallet that goes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Peaks, Black Friday and not mixing orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Hit the SKU, and not leaving a lame pallet.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- picking
- scan locations
- shorts
- build pallets
- warehouse aisles
- order peaks
- SKUs
- voice picking
Sources for this job· O*NET 53-7062.00· ESCO/ISCO 4321