IS WORK OVER?

Automation index

How much of a Harbour pilot’s job can AI already do?

A chart and a current come earlier. Putting the ship in the basin with a beam wind do not.

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

Task comparison

Harbour pilot

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
Chart, draught and the manoeuvre plan.
Estimate

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

16%36%+5.8
Board, conning and the tug.
Estimate

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

22%8%+1.8
Wind, current and coming alongside.
Estimate

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

16%22%+3.5
Pilotage, the master and not fighting the bridge.
Estimate

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

16%28%+4.5
Fog, the closure and the yes or no to enter.
Estimate

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

16%18%+2.9
Get it in whole, and not scraping the bottom.
Estimate

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

14%10%+1.4
Total100%20%

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

Skills and activities

  • pilotage
  • conning
  • draughts
  • tugs
  • come alongside
  • charts
  • beam wind
  • the basin

Sources for this job· O*NET 53-5021.00· ESCO/ISCO 3152

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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