Automation index
How much of a Data protection officer’s job can AI already do?
A processing record and a clause come earlier. Calling an incident and answering the regulator do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Data protection officer
29%
AI can already do 29% of this job.
#58 / 623
View rankingData protection officer
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 |
|---|---|---|---|
Processing records, clauses and DPIAs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Policies, processor contracts and transfers.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Data-subject rights, internal queries and training.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Incidents, notification and the call to the regulator.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Vendors, cookies and new processing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Independence, board report and liability.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- data protection
- apply GDPR
- run DPIAs
- handle subject rights
- notify breaches
- draft clauses
- processor contracts
- answer the regulator
Sources for this job· O*NET 13-1041.00· ESCO/ISCO 2422
IS WORK OVER?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.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
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142