IS WORK OVER?

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

Quality engineer

Where the time goes

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.

TaskShareAIPoints
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
Total100%28%

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

Skills and activities

  • FMEA
  • 8D
  • control plan
  • IATF
  • PPAP
  • APQP
  • supplier claims
  • release batches

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

Tram driver

Where the time goes

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.

TaskShareAIPoints
Checks, log and the cab.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

No public source provides a precise figure. This is our estimate.

24%8%+1.9
Badly parked car, calls and Control.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

No public source provides a precise figure. This is our estimate.

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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