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?
Community health worker
24%
#256 / 623
View rankingCommunity health worker
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 |
|---|---|---|---|
Health map, workshops and the calendar.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Street, doorway and the neighbour who does not come.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Vaccines, screening and referring to the clinic.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Data, report and the health table.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The rumour, the distrust and not moralising.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they come, and not inflating workshop numbers.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- health workshops
- health map
- door-to-door
- refer to clinic
- screening
- health table
- community vaccination
- health distrust
Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253