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 / 683

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?

27%

#206 / 683

University tutor

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
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. 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