IS WORK OVER?

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

Epidemiologist

Where the time goes

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.

TaskShareAIPoints
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
Total100%31%

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

Skills and activities

  • watch outbreaks
  • compute rates
  • epi studies
  • case interviews
  • map epidemics
  • public-health measures
  • contact tracing
  • health alerts

Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263

Telemarketer

Where the time goes

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.

TaskShareAIPoints
Script, queue and the shift.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
The call, the no and the one who insults.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Data, GDPR and not pushing extra.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Target, the bonus and not dressing contacts.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The supervisor, quality and not skipping the no.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That they do not hang up, and not lying.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

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

Skills and activities

  • scripts
  • call queues
  • GDPR
  • targets
  • call quality
  • shifts
  • contacts
  • the no

Sources for this job· O*NET 41-9041.00· ESCO/ISCO 4222

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