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 / 623
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?
Data architect
28%
#83 / 623
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511