IS WORK OVER?

Automation index

How much of a Calibration technician’s job can AI already do?

A certificate comes earlier. The instrument measuring without signing blind do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Calibration technician

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
Standard, uncertainty and the certificate.
Estimate

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

16%40%+6.4
Instrument, the adjust and the one that will not go.
Estimate

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

18%14%+2.5
Field, the one that cannot move and the portable standard.
Estimate

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

16%28%+4.5
Lab, the temperature and not skipping the soak.
Estimate

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

16%22%+3.5
The client, the rush and not signing blind.
Estimate

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

18%18%+3.2
That it measures, and a true certificate.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • standards
  • uncertainty
  • calibration certificates
  • adjust
  • instruments
  • thermal soak
  • metrology lab
  • the field

Sources for this job· O*NET 17-3028.00· ESCO/ISCO 3111

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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