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 / 623

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?

24%

#257 / 623

Agile coach

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
Boards, metrics and the cadence design. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The real retro and the elephant in the room. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Train, unblock and the manager who will not let go. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Scale, dependencies and fake agile. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Conflict, power and not selling extra frameworks. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they stop faking it, and not inflating velocity. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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