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

IS WORK OVER?

30%

AI can already do 30% of this job.

#44 / 683

Pathologist

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.

Task	Share	AI	Points
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
Total	100%		30%

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

IS WORK OVER?

27%

#206 / 683

University tutor

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.

Task	Share	AI	Points
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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