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?

25%

#230 / 633

Biomedical 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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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