Automation index
How much of a Banker’s job can AI already do?
A score and a dossier come earlier. Looking the client in the eye, saying no, and owning the risk do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Banker
27%
AI can already do 27% of this job.
#135 / 623
View rankingBanker
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 |
|---|---|---|---|
Client file, scoring and desk KYC.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Product proposals, simulation and reporting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Meetings, negotiation and close.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Risk calls, exceptions and escalation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Compliance, audit and the file.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Book, referrals and long relationship.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Client file, scoring and desk KYC
- Meetings, negotiation and close
- Risk calls, exceptions and escalation
- Compliance, audit and the file
- Book, referrals and long relationship
- banquero
- banker
- gestor de banca
- private banker
Sources for this job· O*NET 13-2052.00· ESCO/ISCO 2412
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