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?

27%

AI can already do 27% of this job.

#156 / 623

Wealth manager

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. Estimate No 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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Tax, succession and not leaving a hole. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Report, the market and not dressing the year. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The committee, the product and not pushing the house book. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Sit for real, and not selling the house product. Estimate No 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

IS WORK OVER?

26%

#211 / 623

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low