Automation index
How much of a Data protection inspector’s job can AI already do?
A notice comes earlier. Walking into the file without leaving the data lying around do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Data protection inspector
27%
AI can already do 27% of this job.
#183 / 733
View rankingData protection 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 |
|---|---|---|---|
Notice, the file and the deadline.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Inspection, the processing and what is not there.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Breach, the notice and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Fine, the test and not hunting the sole trader extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The director, the note and not leaking the file.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Walk into the file, and not leaving the data lying around.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
- files
- processing
- breaches
- notices
- data fines
- AEPD deadlines
- sole traders
- not leak files
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