IS WORK OVER?

Automation index

How much of a Commercial diver’s job can AI already do?

A dive plan comes earlier. Working below and coming up whole do not.

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

Task comparison

Commercial diver

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
Plan, tables and the day’s gas.
Estimate

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

16%32%+5.1
Bottom, tool and the one who snags.
Estimate

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

24%6%+1.4
Comms, the tender and stopping in time.
Estimate

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

16%22%+3.5
Inspection, wet weld or cut.
Estimate

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

16%28%+4.5
Current, zero vis and not losing the buddy.
Estimate

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

14%18%+2.5
Come up whole, and not skipping decompression.
Estimate

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

14%10%+1.4
Total100%18%

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

Skills and activities

  • dive plan
  • decompression tables
  • wet weld
  • tender
  • zero vis
  • underwater cut
  • dive gas
  • the bottom

Sources for this job· O*NET 49-9092.00· ESCO/ISCO 7541

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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