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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
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

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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