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

IS WORK OVER?

22%

AI can already do 22% of this job.

#382 / 633

Avionics technician

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.

Task	Share	AI	Points
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
Total	100%		22%

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

IS WORK OVER?

27%

#162 / 633

Materials engineer

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.

Task	Share	AI	Points
Tests, metallography and the spec. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Shop, heat treatment and the part that fails spec. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Material choice, corrosion and fatigue. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Supplier, certificates and the doubtful batch. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The field failure and the root cause. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not fail, and not swapping the material blind. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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