IS WORK OVER?

Automation index

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

An order book comes earlier. Executing without blowing the price do not.

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

Task comparison

Trader

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
Book, liquidity and the ticket.
Estimate

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

18%48%+8.6
Execute, slippage and the one who panics.
Estimate

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

16%40%+6.4
Limits, risk and not blowing them.
Estimate

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

16%22%+3.5
Close, P&L and not hiding the loss.
Estimate

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

16%28%+4.5
The rumour, the news and not chasing.
Estimate

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

18%14%+2.5
Execute clean, and not blowing the price.
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

  • order book
  • slippage
  • risk limits
  • P&L
  • liquidity
  • tickets
  • the close
  • news

Sources for this job· O*NET 41-3031.00· ESCO/ISCO 3311

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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