Automation index
How much of a Risk manager’s job can AI already do?
A risk map and a VaR come earlier. Stopping a product and convincing the committee do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Risk manager
29%
AI can already do 29% of this job.
#60 / 623
View rankingRisk manager
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 |
|---|---|---|---|
Maps, models and risk reporting.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Policies, limits and stress tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Escalate an incident and talk to desks.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Committee, exceptions and negotiation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Data quality and model assumptions.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Stop the risk and sign the opinion.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Maps, models and risk reporting
- Policies, limits and stress tests
- Escalate an incident and talk to desks
- Committee, exceptions and negotiation
- Data quality and model assumptions
- Stop the risk and sign the opinion
- risk manager
- gestor de riesgos
- riesgo operacional
Sources for this job· O*NET 13-2099.02· ESCO/ISCO 2413
IS WORK OVER?
Family doctor
23%
#304 / 623
View rankingFamily doctor
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 |
|---|---|---|---|
Read history, labs and primary-care protocols.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Clinic, examination and home visits.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Explain, refer and hold uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Prescriptions, notes and sick-leave reports.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
List, nursing team and the health centre.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Primary-care emergencies and not missing a heart attack.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- care for patients
- diagnose
- nursing care
- clinical notes
- Clinic, examination and home visits
- Explain, refer and hold uncertainty
- List, nursing team and the health centre
- medico de familia
- general practitioner
Sources for this job· O*NET 29-1215.00· ESCO/ISCO 2211