IS WORK OVER?

Automation index

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

A protocol and a first result come earlier. A culture that does not contaminate does not.

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

Task comparison

Microbiologist

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
Protocols, plates and a first result.
Estimate

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

16%40%+6.4
Plate, incubate and read cultures.
Estimate

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

20%12%+2.4
Report to the clinician and not jump.
Estimate

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

16%22%+3.5
Quality, strains and documentation.
Estimate

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

16%28%+4.5
Biosafety, waste and kit.
Estimate

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

16%16%+2.6
Not calling a negative that is a positive.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Protocols, plates and a first result
  • Plate, incubate and read cultures
  • Report to the clinician and not jump
  • Quality, strains and documentation
  • Biosafety, waste and kit
  • Not calling a negative that is a positive
  • microbiologo

Sources for this job· O*NET 19-1022.00· ESCO/ISCO 2131

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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