Automation index

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

A script comes earlier. Them not hanging up in ten seconds, and not lying, do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#188 / 623

Telemarketer

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
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
Total	100%		27%

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

IS WORK OVER?

25%

#230 / 623

Biomedical engineer

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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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