IS WORK OVER?

Automation index

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

A lineup and a clip come earlier. Going out to compete without breaking do not.

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

Task comparison

Football coach

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
Lineup, plan and the opponent clip.
Estimate

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

16%40%+6.4
Train, the one who is late and the one who hides.
Estimate

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

18%14%+2.5
Match, the changes and the one who boils.
Estimate

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

16%28%+4.5
Dressing room, the ego and not losing the group.
Estimate

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

16%22%+3.5
The board, the parents and not picking the son under pressure.
Estimate

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

18%18%+3.2
Compete, and not breaking.
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

  • lineups
  • opponent clip
  • training
  • changes
  • dressing room
  • parents
  • pick the side
  • match plan

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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
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

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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