IS WORK OVER?

Automation index

How much of a Ship agent’s job can AI already do?

An ETA comes earlier. Clearing the ship without extra demurrage do not.

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

Task comparison

Ship agent

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
ETA, berth and port services.
Estimate

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

16%44%+7
Clearance, crew and the crew change.
Estimate

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

16%36%+5.8
The master, the terminal and the window clash.
Estimate

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

18%16%+2.9
Invoices, disbursements and the owner’s account.
Estimate

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

16%28%+4.5
The inspection, the delay and not losing the slot.
Estimate

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

18%18%+3.2
No extra demurrage, and the ship cleared.
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

  • ETAs
  • berths
  • ship clearance
  • crew changes
  • disbursements
  • terminal windows
  • owner’s accounts
  • port inspections

Sources for this job· O*NET 43-5011.00· ESCO/ISCO 3331

Traffic 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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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