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

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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