Automation index
How much of a Wealth manager’s job can AI already do?
A model book comes earlier. Sitting with the client without selling them the house product do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Wealth manager
27%
AI can already do 27% of this job.
#156 / 623
View rankingWealth 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 |
|---|---|---|---|
Profile, IPS and the book.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Meeting, the fear and the one who wants it all on deposit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Tax, succession and not leaving a hole.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the market and not dressing the year.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The committee, the product and not pushing the house book.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Sit for real, and not selling the house product.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
- IPS
- wealth books
- succession
- wealth tax
- risk profiles
- client reports
- house products
- deposits
Sources for this job· O*NET 13-2052.00· ESCO/ISCO 2412
IS WORK OVER?
Agile coach
24%
#257 / 623
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421