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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
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

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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