IS WORK OVER?

Automation index

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

A BITE comes earlier. Calibrating the kit and signing that it flies do not.

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

Task comparison

Avionics technician

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
BITE, manual and the fault tree.
Estimate

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

16%40%+6.4
Bench, the pin and the oxidised connector.
Estimate

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

18%12%+2.2
Calibrate, software and the config.
Estimate

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

16%28%+4.5
Line, the aircraft on stand and the slot.
Estimate

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

16%22%+3.5
The pilot report and not swapping the box blind.
Estimate

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

18%18%+3.2
Sign that it flies, and not leaving BITE red.
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

  • BITE
  • calibrate avionics
  • connectors
  • fault tree
  • equipment software
  • the stand
  • LRUs
  • config

Sources for this job· O*NET 49-2091.00· ESCO/ISCO 7421

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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