Automation index
How much of a Schools inspector’s job can AI already do?
A visit rubric comes earlier. Walking into the classroom and saying what is there, not what they want to hear, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Schools inspector
27%
AI can already do 27% of this job.
#182 / 733
View rankingSchools inspector
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 |
|---|---|---|---|
Visit, the rubric and the timetable.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Classroom, what happens and not the slide deck.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Report, the school and not softening it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Appeal, the union and not yielding the figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The minister, the pressure and not dressing it.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Say what is there, and not what they want to hear.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
- inspection visits
- rubrics
- school reports
- real classrooms
- appeals
- not soften
- the department
- school evaluation
Sources for this job· O*NET 13-1041.00· ESCO/ISCO 2422
IS WORK OVER?
Reliability engineer
27%
#175 / 733
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