Automation index

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

A statistical check and an 8D come earlier. Stopping the line and deciding if the batch ships do not.

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

Task comparison

IS WORK OVER?

29%

AI can already do 29% of this job.

#71 / 623

Quality 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
Inspection, measurements and statistical control. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Nonconformities, 8D and corrective actions. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Stop the line, sample and decide the batch. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Internal audits, ISO and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Suppliers, incoming goods and complaints. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Release judgement and liability for the batch. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		28%

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

IS WORK OVER?

26%

#211 / 623

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