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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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