IS WORK OVER?

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

Wealth 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.

TaskShareAIPoints
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
Total100%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

Logistics analyst

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.

TaskShareAIPoints
Costs, OTIF and the dashboard.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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