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

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
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

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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