IS WORK OVER?

Automation index

How much of a Diving instructor’s job can AI already do?

A dive briefing comes earlier. Coming up whole without forgetting to breathe do not.

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

Task comparison

Diving instructor

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
Briefing, tables and the plan.
Estimate

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

16%32%+5.1
Water, the student and the one who panics.
Estimate

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

22%8%+1.8
Drills, the regulator and the one who is out of air.
Estimate

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

16%22%+3.5
Log, certification and not giving the star away.
Estimate

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

16%28%+4.5
The current, the vis and aborting.
Estimate

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

16%18%+2.9
Come up whole, and not skipping the stop.
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

  • dive briefing
  • tables
  • regulator
  • certify divers
  • current
  • visibility
  • stops
  • nervous students

Sources for this job· O*NET 25-3021.00· 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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