Automation index
How much of a Primary school teacher’s job can AI already do?
A workbook and a test come earlier. Holding a class of 25 until they can read does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Primary school teacher
22%
AI can already do 22% of this job.
#350 / 633
View rankingPrimary school 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 |
|---|---|---|---|
Prepare lessons, worksheets and adaptations.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Teach, tutor and hold the classroom.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Families, parent meetings and conflicts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Assess, reports and special-needs notes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Playground, dining hall and duties.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Staff meeting, planning and not leaving a child behind.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- teach class
- mark students
- lesson plans
- teach
- Teach, tutor and hold the classroom
- Families, parent meetings and conflicts
- Assess, reports and special-needs notes
- Playground, dining hall and duties
- maestro de primaria
- maestra de primaria
Sources for this job· O*NET 25-2021.00· ESCO/ISCO 2341
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120