Automation index
How much of a Key account manager’s job can AI already do?
A QBR comes earlier. Growing the account without losing it at renewal do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Key account manager
27%
AI can already do 27% of this job.
#166 / 633
View rankingKey account manager
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 |
|---|---|---|---|
Account, plan and the QBR.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Buyer, objections and the one who changes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Forecast, the gap and not inflating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Incident, the SLA and not hiding the fail.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Internal, the one who does not deliver and fighting it.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Grow it, and not losing it at renewal.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
- QBR
- account plans
- account forecast
- SLA
- renewal
- buyers
- objections
- gaps
Sources for this job· O*NET 41-4012.00· ESCO/ISCO 2433
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