IS WORK OVER?

Automation index

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

A protocol and a curve come earlier. An assay that says what it says does not.

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

Task comparison

Biochemist

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, curves and analysis.
Estimate

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

18%48%+8.6
Bench, pipettes and assays.
Estimate

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

18%14%+2.5
Team, paper and not dressing a gel.
Estimate

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

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

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

16%28%+4.5
Rules, waste and safety.
Estimate

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

16%16%+2.6
Not publishing a result that does not replicate.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • Protocols, curves and analysis
  • Bench, pipettes and assays
  • Team, paper and not dressing a gel
  • Quality, lots and documentation
  • Rules, waste and safety
  • bioquimico
  • biochemist

Sources for this job· O*NET 19-1021.00· 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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