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

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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