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

Prompt 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
Design prompts, tools and chains.
Estimate

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

24%58%+13.9
Evals, datasets and regressions.
Estimate

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

18%52%+9.4
Integrate with product and safety limits.
Estimate

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

16%22%+3.5
Talk to the business about a good output.
Estimate

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

16%18%+2.9
Watch hallucinations, bias and cost.
Estimate

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

14%20%+2.8
Decide what the model gets, and what it does not.
Estimate

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

12%16%+1.9
Total100%34%

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

Skills and activities

  • Design prompts, tools and chains
  • Evals, datasets and regressions
  • Integrate with product and safety limits
  • Talk to the business about a good output
  • Watch hallucinations, bias and cost
  • prompt engineer
  • ingeniero de prompts
  • llm engineer

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512

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