IS WORK OVER?

Automation index

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

Neuronavigation comes earlier. Going into the skull and not leaving a deficit do not.

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

Task comparison

Neurosurgeon

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
Indicate, consent and the plan with neurology.
Estimate

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

16%36%+5.8
Craniotomy, spine and the tumour that bleeds.
Estimate

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

24%6%+1.4
Neuronavigation, monitoring and the margin.
Estimate

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

16%18%+2.9
Neuro ICU, pupils and raised pressure.
Estimate

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

16%22%+3.5
Family, the deficit and rehab.
Estimate

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

14%28%+3.9
On-call, the haematoma and signing go or no-go.
Estimate

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

14%10%+1.4
Total100%19%

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

Skills and activities

  • craniotomy
  • spine surgery
  • neuronavigation
  • brain tumour
  • neuro ICU
  • subdural haematoma
  • intraoperative monitoring
  • raised ICP

Sources for this job· O*NET 29-1241.00· 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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