IS WORK OVER?

Automation index

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

Today an AI can already prep materials, sort notes, and write a first summary. The class, the source, and the patient still need someone in the room.

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

Task comparison

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
Collect, record, and maintain patient information, such as medical history, reports, or examination results.
Estimate

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

9%12%+1.1
Prescribe or administer medication, therapy, and other specialized medical care to treat or prevent illness, disease, or injury.
Estimate

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

8%28%+2.2
Analyze records, reports, test results, or examination information to diagnose medical condition of patient.
Estimate

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

8%12%+1
Manage and treat common health problems, such as infections, influenza or pneumonia, as well as serious, chronic, and complex illnesses, in adolescents, adults, and the elderly.
Estimate

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

8%28%+2.2
Explain procedures and discuss test results or prescribed treatments with patients.
Estimate

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

8%12%+1
Monitor patients' conditions and progress and reevaluate treatments as necessary.
Estimate

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

8%12%+1
Treat internal disorders, such as hypertension, heart disease, diabetes, or problems of the lung, brain, kidney, or gastrointestinal tract.
Estimate

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

8%28%+2.2
Advise patients and community members concerning diet, activity, hygiene, and disease prevention.
Estimate

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

7%12%+0.8
Other less frequent tasks (weight estimated from frequency).
Estimate

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

36%28%+10.1
Total100%22%

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

Skills and activities

  • care for patients
  • diagnose
  • nursing care
  • clinical notes
  • manage research data
  • operate open source software
  • demonstrate disciplinary expertise
  • think abstractly
  • manage personal professional development
  • synthesise information

Sources for this job· O*NET 29-1216.00· ESCO/ISCO 2211

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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