IS WORK OVER?

Automation index

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

A current model comes earlier. Going to sea and actually reading the water do not.

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

Task comparison

Oceanographer

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
Model, buoys and the cruise.
Estimate

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

16%40%+6.4
Sea, sampling and the one who misses the cast.
Estimate

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

18%14%+2.5
Data, the gap and not interpolating extra.
Estimate

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

16%28%+4.5
Report, the coast and the one who will not hear.
Estimate

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

16%22%+3.5
The storm, the ship and aborting.
Estimate

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

18%18%+3.2
Read the water, and not trusting the model alone.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • current models
  • buoys
  • ocean cruises
  • sampling
  • interpolation
  • the coast
  • the storm
  • casts

Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
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

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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