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.
#530 / 743
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?
Reliability engineer
27%
#176 / 743
View rankingReliability engineer
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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141