Automation index

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

An FMEA and an 8D come earlier. Stopping the supplier and deciding if the batch travels 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.

#63 / 673

Quality 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
FMEA, control plan and the limits. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
8D, claims and the supplier. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Audit, IATF and the awkward finding. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The line, the defect and stop or not. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
APQP, PPAP and the customer launch. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Release with judgement, and not hiding the PPM. 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?

22%

#394 / 673

Art teacher

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
Project, the sheet and the kit. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Classroom, the one who will not dare and the one who bins it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Technique, the mistake and not doing it for them. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Show, the corridor and not hanging only the pretty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Staff, 'it's a soft subject', and not dropping the bar. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they get dirty, and not copying the model. 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