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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
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

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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