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

IS WORK OVER?

23%

AI can already do 23% of this job.

#303 / 633

Aircraft mechanic

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
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
Total	100%		23%

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

IS WORK OVER?

26%

#211 / 633

Last-mile manager

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
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
Total	100%		26%

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