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 / 623
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?
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