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?

22%

#338 / 623

Ice-cream maker

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
Base, overrun and the recipe. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
Churn, age and the one that crystals. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
List, season and the flavour that misses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Workshop, cold and the broken chain. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Summer, the queue and not running out of vanilla. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Creamy in the mouth, and not selling ice. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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