IS WORK OVER?

Automation index

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

An AUDIT form comes earlier. Walking the abstinence when Friday slips do not.

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

Task comparison

Addiction doctor

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
History, AUDIT and the urine screen.
Estimate

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

16%40%+6.4
Clinic, the relapse and the one who does not come.
Estimate

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

18%14%+2.5
Methadone, the dose and not rushing the taper.
Estimate

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

16%28%+4.5
Detox, the bed and the syndrome.
Estimate

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

16%22%+3.5
Family, the stigma and not moralising.
Estimate

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

18%18%+3.2
Walk the abstinence, and not turning away the one who slips.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • AUDIT
  • methadone
  • detox
  • relapses
  • urine screens
  • addiction clinic
  • withdrawal
  • not moralise

Sources for this job· O*NET 29-1223.00· ESCO/ISCO 2212

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
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

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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