Automation index
How much of a Compliance officer’s job can AI already do?
A matrix and a course come earlier. Telling a director no, and writing it down, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Compliance officer
28%
AI can already do 28% of this job.
#89 / 623
View rankingCompliance 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 |
|---|---|---|---|
Policies, matrices and controls.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 50% | +11 |
Reports, desk KYC and tracking.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Investigate a case and talk to people.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Train, persuade and take pressure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Regulator, audit and evidence.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Say no and leave a record.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Policies, matrices and controls
- Reports, desk KYC and tracking
- Investigate a case and talk to people
- Train, persuade and take pressure
- Regulator, audit and evidence
- Say no and leave a record
- compliance
- cumplimiento normativo
- oficial de cumplimiento
Sources for this job· O*NET 13-1041.00· ESCO/ISCO 2619
IS WORK OVER?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514