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

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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