Automation index

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

A tumour board and a protocol come earlier. Saying a prognosis and holding the treatment do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#359 / 633

Oncologist

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 pathology, imaging and regimen protocols. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Clinic, bad news and ceiling-of-care decisions. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Prescribe, watch toxicity and adjust cycles. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Reports, consents and tumour board. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Coordinate surgery, radio and palliative care. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
On-call, team and not abandoning the patient. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Total	100%		22%

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