IS WORK OVER?

Automation index

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

A morph and a consent form come earlier. Cutting, stitching and not getting necrosis do not.

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

Task comparison

Plastic surgeon

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
Plan, photos and informed consent.
Estimate

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

16%36%+5.8
Operate: flaps, implants and burns.
Estimate

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

22%8%+1.8
Pre-op, markings and what you can actually promise.
Estimate

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

16%22%+3.5
Post-op, dressings and reviewing the result.
Estimate

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

16%28%+4.5
Emergencies: hand, face and the lip that will not close.
Estimate

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

16%18%+2.9
Aesthetics, reconstruction and signing what is cut.
Estimate

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

14%10%+1.4
Total100%20%

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

Skills and activities

  • plastic surgery
  • flaps
  • implants
  • burns
  • hand surgery
  • pre-op marking
  • post-op dressings
  • reconstruction

Sources for this job· O*NET 29-1242.00· 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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