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?
Prompt engineer
34%
#21 / 623
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512