IS WORK OVER?

Automation index

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

A first slice and a code come earlier. Putting the diagnosis the chemo depends on do not.

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

Task comparison

Pathologist

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
Grossing, embedding and the first trim.
Estimate

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

18%48%+8.6
Read stains, IHC and a template report.
Estimate

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

16%52%+8.3
The hard case, the second look and the frozen section.
Estimate

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

18%18%+3.2
Board, the surgeon on the phone and the margin.
Estimate

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

16%28%+4.5
Cytology, autopsy and the specimen that arrives late.
Estimate

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

16%22%+3.5
Signing the diagnosis and what the patient is playing for.
Estimate

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

16%14%+2.2
Total100%30%

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

Skills and activities

  • read biopsies
  • grossing
  • immunohistochemistry
  • frozen section
  • pathology report
  • cytology
  • surgical margins
  • autopsy

Sources for this job· O*NET 29-1222.00· ESCO/ISCO 2212

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
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

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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