Automation index
How much of a Neuropsychologist’s job can AI already do?
A battery comes earlier. Saying what is left of the person without scaring the family do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Neuropsychologist
27%
AI can already do 27% of this job.
#190 / 733
View rankingNeuropsychologist
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 |
|---|---|---|---|
Battery, norms and the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Patient, the fatigue and the one who quits the test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Imaging, the lobe and not forcing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rehab, the aim and what still can.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The family, the report and not scaring.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Say what is left, and not selling an extra diagnosis.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
- neuropsych batteries
- test norms
- cognitive rehab
- neuropsych reports
- test fatigue
- lobes
- the family
- not scare
Sources for this job· O*NET 19-3039.00· ESCO/ISCO 2634
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