Automation index
How much of a Financial advisor’s job can AI already do?
A risk profile and a model portfolio come earlier. Sitting with the client and signing what actually fits do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Financial advisor
30%
AI can already do 30% of this job.
#46 / 733
View rankingFinancial advisor
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 |
|---|---|---|---|
Profile risk, goals and loss capacity.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Propose portfolios, funds and scenarios.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 52% | +8.3 |
Client meeting, objections and the yes or no.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Periodic reports, rebalancing and basic tax.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
MiFID rules, suitability and trace of the advice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Sign-off, follow-up and liability for the advice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- advise on investments
- profile risk
- build portfolios
- rebalance funds
- plan retirement
- MiFID suitability
- explain financial products
- own the advice
Sources for this job· O*NET 13-2052.00· ESCO/ISCO 2412
IS WORK OVER?
Reliability engineer
27%
#175 / 733
View rankingReliability 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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.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
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141