Automation index
How much of a Bank teller’s job can AI already do?
A count and a deposit come earlier. Spotting a bad note and serving the pension queue do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Bank teller
28%
AI can already do 28% of this job.
#85 / 623
View rankingBank teller
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 |
|---|---|---|---|
Deposits, withdrawals, transfers and cashing up.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Serve the window, identify the customer and manage queues.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Sell simple products and update records.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spot irregularities, notes and doubtful operations.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Balance the till, audits and hand over to treasury.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Rules, cash and liability for the window.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
- count cash
- serve the teller window
- take deposits
- balance the till
- identify customers
- spot fake notes
- sell bank products
- cash audit
Sources for this job· O*NET 43-3071.00· ESCO/ISCO 4211
IS WORK OVER?
Development cooperation officer
26%
#212 / 623
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635