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

Agile 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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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