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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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