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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512