IS WORK OVER?

Automation index

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

A manual and a maintenance log come earlier. Signing an aircraft so it flies whole do not.

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

Task comparison

Aircraft mechanic

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
Read the manual, bulletins and the work order.
Estimate

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

16%32%+5.1
Inspect, strip, adjust and refit systems.
Estimate

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

22%12%+2.6
Diagnosis, parts and functional tests.
Estimate

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

16%28%+4.5
Logs, CRS and traceability of the job.
Estimate

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

16%40%+6.4
Hangar, line and coordination with crew and ops.
Estimate

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

16%18%+2.9
Licence, stamp and airworthiness liability.
Estimate

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

14%10%+1.4
Total100%23%

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

Skills and activities

  • maintain aircraft
  • inspect airframes
  • replace components
  • sign CRS
  • aircraft diagnosis
  • functional tests
  • read service bulletins
  • airworthiness

Sources for this job· O*NET 49-3011.00· ESCO/ISCO 7232

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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