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 / 623
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?
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