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

Ice-cream maker

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
Base, overrun and the recipe.
Estimate

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

16%44%+7
Churn, age and the one that crystals.
Estimate

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

18%12%+2.2
List, season and the flavour that misses.
Estimate

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

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

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

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

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

18%18%+3.2
Creamy in the mouth, and not selling ice.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • churn
  • overrun
  • age bases
  • ice-cream list
  • cold chain
  • ice crystals
  • vanilla
  • ice-cream season

Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512

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