IS WORK OVER?

Automation index

How much of a Investment analyst’s job can AI already do?

A model comes earlier. Calling buy or not and signing the memo do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Investment 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
Model, comps and the memo.
Estimate

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

18%48%+8.6
Data, the gap and what is not in the sheet.
Estimate

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

16%40%+6.4
Committee, the thesis and the one who falls in love.
Estimate

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

16%22%+3.5
Follow-up, the profit warning and not hiding it.
Estimate

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

16%28%+4.5
The PM, the rush and not inflating the target.
Estimate

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

18%14%+2.5
Buy or not, and signing the memo.
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

  • valuation models
  • comps
  • investment memos
  • thesis
  • profit warning
  • target
  • investment committee
  • follow-up

Sources for this job· O*NET 13-2051.00· ESCO/ISCO 2413

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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