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?

29%

AI can already do 29% of this job.

#58 / 623

Data protection officer

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. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Policies, processor contracts and transfers. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Data-subject rights, internal queries and training. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Incidents, notification and the call to the regulator. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Vendors, cookies and new processing. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Independence, board report and liability. Estimate No 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

IS WORK OVER?

24%

#257 / 623

Agile coach

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
Boards, metrics and the cadence design. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The real retro and the elephant in the room. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Train, unblock and the manager who will not let go. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Scale, dependencies and fake agile. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Conflict, power and not selling extra frameworks. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they stop faking it, and not inflating velocity. Estimate No 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