Automation index
How much of a IT auditor’s job can AI already do?
A log sample and a stock finding come earlier. Judging the control and signing the report do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
IT auditor
32%
AI can already do 32% of this job.
#27 / 773
View rankingIT auditor
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 |
|---|---|---|---|
Plan scope, IT risks and sampling.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Review access, changes, logs and configs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 52% | +8.3 |
Document findings, evidence and recommendations.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Interview, challenge the auditee and apply judgement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Follow up action plans and retest.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, committee and liability for the opinion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 32% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- audit systems
- review logs
- assess IT controls
- test access
- document findings
- audit changes
- retest controls
- sign the audit report
Sources for this job· O*NET 15-1212.00· ESCO/ISCO 2519
IS WORK OVER?
MLOps engineer
27%
#198 / 773
View rankingMLOps 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 |
|---|---|---|---|
Pipeline, the dataset and the drift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Registry, the version and not mixing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Prod, the rubbish and the monitor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rollback, the model and not leaving the one that hallucinates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The scientist, the rush and not skipping the test.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not serve rubbish, and not skipping the monitor.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 pipelines
- drift
- model registry
- monitors
- model rollback
- datasets
- versions
- not serve rubbish
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511