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.
#456 / 653
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?
Clinical research associate
27%
#172 / 653
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131