IS WORK OVER?

Automation index

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

A stock report comes earlier. Seeing the player without falling for the goal do not.

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

Task comparison

Talent scout

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
Match, notes and the report.
Estimate

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

18%48%+8.6
See them live, the setting and the one who hides.
Estimate

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

16%40%+6.4
Data, GPS and not trusting the clip alone.
Estimate

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

16%22%+3.5
Network, agents and the one already promised.
Estimate

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

16%28%+4.5
The club, the rush and not inflating the average.
Estimate

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

18%14%+2.5
See the player, and not falling for the goal.
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

  • scout reports
  • see live
  • player GPS
  • agents
  • scout network
  • data
  • clips
  • the player’s setting

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

Geomatics engineer

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
Station, the base and the cloud.
Estimate

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

16%40%+6.4
Field, the axis and the one that moved.
Estimate

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

18%14%+2.5
Model, the drift and not hiding metres.
Estimate

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

16%28%+4.5
Works, the setting-out and going down to see it.
Estimate

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

16%22%+3.5
The contractor, the rush and not signing the drift.
Estimate

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

18%18%+3.2
That the axis is there, and not signing metres.
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

  • point clouds
  • total stations
  • axes
  • setting-out
  • drift
  • bases
  • geomatics
  • the field

Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165

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