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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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