IS WORK OVER?

Automation index

How much of a Marine engineer’s job can AI already do?

An engine log comes earlier. The engine lasting the crossing do not.

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

Task comparison

Marine engineer

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
Rounds, parameters and the engine log.
Estimate

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

16%36%+5.8
Breakdown, the sea and repairing with what you have.
Estimate

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

18%12%+2.2
Fuel, oils and the port change.
Estimate

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

16%28%+4.5
Watch, alarms and the one who does not sleep.
Estimate

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

16%22%+3.5
Survey, class and not dressing the log.
Estimate

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

18%18%+3.2
Last the crossing, and not silencing the alarm.
Estimate

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

16%12%+1.9
Total100%21%

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

Skills and activities

  • engine rounds
  • engine log
  • breakdowns at sea
  • watches
  • class
  • fuels
  • engine-room alarms
  • repair on passage

Sources for this job· O*NET 53-5031.00· ESCO/ISCO 3151

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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