Automation index

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

A blood count and a first outline come earlier. Calling a transplant and talking to the family do not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#297 / 633

Haematologist

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
Read blood counts, smears and marrow studies. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Clinic, examination and the plan with the patient. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Order chemo, anticoagulants and transfusion support. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Procedures: marrow, apheresis and venous access. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Tumour board, consults and the ward day. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
On-call, haematology emergency and signing the treatment. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		23%

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

IS WORK OVER?

24%

#257 / 633

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