Automation index

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

A model and a mapped outbreak come earlier. Calling the measure and getting people to follow it do not.

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

Task comparison

IS WORK OVER?

31%

AI can already do 31% of this job.

#34 / 623

Epidemiologist

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
Surveillance, rates and the outbreak on the map. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Studies, bias and the report for public health. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Surveys, contacts and the case interview. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Committee, the unpopular measure and the press. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Field, the care-home outbreak and dirty data. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Judgement, uncertainty and signing the alert. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		31%

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

IS WORK OVER?

24%

#270 / 623

Warehouse supervisor

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
Docks, waves and the shift plan. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The team, the peak and the one who cannot keep up. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Stock, shrink and the mystery gap. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Safety, forklifts and the near miss. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The late haulier and not mixing the docks. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Get the shift out, and not mixing the goods. 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