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 / 623

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?

24%

#282 / 623

Job insertion 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
Employer prospecting and the agreements. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Go with them to the job and the first day. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Follow-up, incidents and the one who quits. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Reports, indicators and justifying the grant. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The hard candidate and the employer who pulls out. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they stay, and not dressing the figure. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		24%

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