IS WORK OVER?

Automation index

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

A PCR comes earlier. Isolating the virus without contaminating the lab do not.

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

Task comparison

Virologist

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
PCR, cultures and the report.
Estimate

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

16%40%+6.4
Isolate, biosafety and the one that breaks.
Estimate

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

18%14%+2.5
Outbreak, sequence and the one that does not fit.
Estimate

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

16%28%+4.5
Public health, the note and not delaying.
Estimate

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

16%22%+3.5
The clinician, the antiviral and not jumping.
Estimate

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

18%18%+3.2
Isolate, and not contaminating.
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

  • virus PCR
  • cultures
  • biosafety
  • sequence outbreaks
  • isolate virus
  • public-health notes
  • antivirals
  • P3 lab

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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