Automation index
How much of a Paediatric physiotherapist’s job can AI already do?
A motor milestone comes earlier on the sheet. The child moving and the family not giving up do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Paediatric physiotherapist
22%
AI can already do 22% of this job.
#379 / 743
View rankingPaediatric physiotherapist
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 |
|---|---|---|---|
Assessment, milestones and the report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Session, the play and the one who will not.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Family, the homework and not blaming.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Orthosis, the workshop and the one that pinches.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
School, the yard and not leaving them sat.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they move, and the family not giving up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- motor milestones
- paediatric physio
- therapeutic play
- children's orthoses
- the family
- school
- not blame
- sessions with children
Sources for this job· O*NET 29-1123.00· ESCO/ISCO 2264
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