IS WORK OVER?

Automation index

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

A glucose curve and a dose tweak come earlier. Changing someone’s life with a prescription does not.

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

Task comparison

Endocrinologist

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
Read labs, curves and a first adjustment.
Estimate

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

18%48%+8.6
Diabetes, thyroid and weight clinic.
Estimate

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

18%18%+3.2
Teach regimen, diet and tech (pump, sensor).
Estimate

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

16%22%+3.5
Reports, prescriptions and consults.
Estimate

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

16%28%+4.5
Follow-up, adherence and complications.
Estimate

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

16%16%+2.6
Team, nursing and not decompensating someone.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • Read labs, curves and a first adjustment
  • Diabetes, thyroid and weight clinic
  • Reports, prescriptions and consults
  • Follow-up, adherence and complications
  • endocrino
  • endocrinologo

Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212

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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