IS WORK OVER?

Automation index

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

A split comes earlier. Swimming the set without drowning in load do not.

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

Task comparison

Swimming 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
Sets, splits and the plan.
Estimate

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

16%32%+5.1
Pool, the stroke and the one who stops.
Estimate

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

22%8%+1.8
Meet, the start and the one who blows.
Estimate

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

16%22%+3.5
Shoulder, load and not rushing the taper.
Estimate

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

16%28%+4.5
Parents, the clock and not humiliating.
Estimate

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

16%18%+2.9
Swim the set, and not drowning in load.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • sets
  • splits
  • stroke
  • taper
  • the start
  • the pool
  • the clock
  • water load

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

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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