IS WORK OVER?

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

Financial 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.

TaskShareAIPoints
Profile risk, goals and loss capacity.
Estimate

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

18%48%+8.6
Propose portfolios, funds and scenarios.
Estimate

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

16%52%+8.3
Client meeting, objections and the yes or no.
Estimate

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

18%18%+3.2
Periodic reports, rebalancing and basic tax.
Estimate

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

16%28%+4.5
MiFID rules, suitability and trace of the advice.
Estimate

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

16%22%+3.5
Sign-off, follow-up and liability for the advice.
Estimate

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

16%12%+1.9
Total100%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

Last-mile 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
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
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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