IS WORK OVER?

Automation index

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

A calculation and a model come earlier. Signing a part that actually flies does not.

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

Task comparison

Aerospace 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
Calculate, simulate and certify structures and systems.
Estimate

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

18%48%+8.6
Drawings, tolerances and traceability.
Estimate

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

16%32%+5.1
Bench, test flight and incidents.
Estimate

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

16%22%+3.5
Vendors, quality and EASA.
Estimate

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

16%18%+2.9
Documentation, versions and configuration.
Estimate

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

18%16%+2.9
Sign something that will not fall.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • Drawings, tolerances and traceability
  • Bench, test flight and incidents
  • Vendors, quality and EASA
  • Documentation, versions and configuration
  • Sign something that will not fall
  • ingeniero aeronautico
  • aerospace engineer

Sources for this job· O*NET 17-2011.00· ESCO/ISCO 2144

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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