IS WORK OVER?

Automation index

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

An MRI report and a first differential come earlier. Examining, needling and saying ALS do not.

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

Task comparison

Neurologist

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 MRIs, EEGs and a first differential.
Estimate

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

18%48%+8.6
Examination, cranial nerves and gait.
Estimate

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

18%14%+2.5
Long clinic, family and bad news.
Estimate

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

16%18%+2.9
Reports, prescriptions and consults.
Estimate

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

16%28%+4.5
On-call, stroke and ward rounds.
Estimate

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

16%22%+3.5
Meeting, team and owning the diagnosis.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • Read MRIs, EEGs and a first differential
  • Examination, cranial nerves and gait
  • Long clinic, family and bad news
  • Reports, prescriptions and consults
  • On-call, stroke and ward rounds
  • Meeting, team and owning the diagnosis
  • neurologo
  • neurologist

Sources for this job· O*NET 29-1217.00· ESCO/ISCO 2212

QA automation engineer

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
Test, the selector and the flake.
Estimate

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

18%48%+8.6
Pipeline, the green and the one that lies.
Estimate

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

16%40%+6.4
Bug, the repro and not closing it blind.
Estimate

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

16%22%+3.5
Data, the environment and not sharing prod.
Estimate

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

16%28%+4.5
The developer, the rush and not skipping the one that fails.
Estimate

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

18%14%+2.5
Catch the bug, and not painting a lying green.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • automated tests
  • selectors
  • flakes
  • QA pipelines
  • repro
  • environments
  • lying green
  • debug tests

Sources for this job· O*NET 15-1253.00· ESCO/ISCO 2519

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