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%

#257 / 623

Agile coach

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
Boards, metrics and the cadence design. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The real retro and the elephant in the room. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Train, unblock and the manager who will not let go. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Scale, dependencies and fake agile. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Conflict, power and not selling extra frameworks. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they stop faking it, and not inflating velocity. 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