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

Job insertion technician

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
Employer prospecting and the agreements.
Estimate

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

16%40%+6.4
Go with them to the job and the first day.
Estimate

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

18%18%+3.2
Follow-up, incidents and the one who quits.
Estimate

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

16%32%+5.1
Reports, indicators and justifying the grant.
Estimate

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

16%28%+4.5
The hard candidate and the employer who pulls out.
Estimate

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

18%14%+2.5
That they stay, and not dressing the figure.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • prospect employers
  • place candidates
  • follow up in post
  • insertion agreements
  • justify grants
  • job accompaniment
  • workplace incidents
  • insertion indicators

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2423

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