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?
Telemarketer
27%
AI can already do 27% of this job.
#188 / 633
View rankingTelemarketer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Script, queue and the shift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
The call, the no and the one who insults.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Data, GDPR and not pushing extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Target, the bonus and not dressing contacts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The supervisor, quality and not skipping the no.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they do not hang up, and not lying.EstimateNo 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
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
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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.
| Task | Share | AI | Points |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120