Automation index

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

A screening protocol comes earlier. Calling fit or not and facing the company do not.

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

Task comparison

IS WORK OVER?

29%

AI can already do 29% of this job.

#65 / 623

Occupational physician

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
Screenings, protocols and the work history. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Fit notes, restrictions and PPE. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The hard case, the one who cannot, and the company pushing. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Risk surveillance, sick leave and return. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Inspectorate, mutual and coordination with H&S. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Medical secrecy and signing fit for work. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		29%

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

IS WORK OVER?

27%

#138 / 623

Category manager

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
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
Total	100%		27%

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