IS WORK OVER?

Automation index

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

A cardiopulmonary test comes earlier. Clearing the return to play and not losing the season do not.

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

Task comparison

Sports physician

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
CPET, labs and load.
Estimate

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

16%48%+7.7
Injury, exam and the yes or no to training.
Estimate

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

18%18%+3.2
Rehab, injections and the club note.
Estimate

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

16%28%+4.5
Anti-doping, certificates and the yearly check.
Estimate

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

16%22%+3.5
The bench, the match and the twisted ankle.
Estimate

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

18%14%+2.5
Club pressure and signing return to play.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • CPET
  • rehab injuries
  • return to play
  • inject athletes
  • anti-doping
  • fitness certificate
  • training load
  • sports medicine

Sources for this job· O*NET 29-1229.00· 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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