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

Excavator operator

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
Set-out, levels and the machine log.
Estimate

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

16%32%+5.1
Dig, load and the batter that comes in.
Estimate

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

24%6%+1.4
Services, the blind pipe and stopping in time.
Estimate

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

16%22%+3.5
Maintenance, grease and the pin that snaps.
Estimate

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

16%28%+4.5
The labourer, the lorry and covering nobody.
Estimate

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

14%18%+2.5
Not breaking what is buried, and leaving a clean formation.
Estimate

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

14%10%+1.4
Total100%18%

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

Skills and activities

  • dig with excavator
  • load lorries
  • batters
  • buried services
  • set-out levels
  • grease the machine
  • formation
  • site GPS

Sources for this job· O*NET 47-2073.00· ESCO/ISCO 8342

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