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?

23%

#301 / 623

Home-automation installer

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
Diagram, buses and scene programming. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the switch that does not answer. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Integrate lights, climate and the client app. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train, guest mode and the one who breaks it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in house and not leaving it dark. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it obeys, and not needing the cloud for a switch. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

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