IS WORK OVER?

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

Oncologist

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
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
Total100%22%

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

Skills and activities

  • Reports, consents and tumour board
  • oncologo
  • oncologist

Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212

Category manager

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
Assortment, prices and the shelf.
Estimate

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

18%48%+8.6
Supplier, the negotiation and the one that will not list.
Estimate

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

16%40%+6.4
Promo, the calendar and the one that clashes.
Estimate

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

16%22%+3.5
Data, margin and not killing the category.
Estimate

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

16%28%+4.5
Own-label, the clash and not hiding it.
Estimate

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

18%14%+2.5
That the category wins.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • assortment
  • supplier negotiation
  • category margin
  • promos
  • own-label
  • the shelf
  • calendar
  • listings

Sources for this job· O*NET 11-2022.00· ESCO/ISCO 1221

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