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

BIM modeller

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
Model, families and clash detection.
Estimate

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

18%52%+9.4
IFC, BEP and trade coordination.
Estimate

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

16%40%+6.4
Site, the one who will not open the model, and the meeting.
Estimate

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

16%22%+3.5
Quantities, parameters and the 4D nobody uses.
Estimate

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

16%28%+4.5
The last-minute change and not breaking the federated model.
Estimate

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

18%14%+2.5
That it can be built, and not over-modelling.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • BIM modelling
  • clash detection
  • Revit families
  • IFC
  • BEP
  • coordinate trades
  • BIM quantities
  • federated model

Sources for this job· O*NET 17-3011.00· ESCO/ISCO 3118

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