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?
DJ
20%
#443 / 623
View rankingDJ
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 |
|---|---|---|---|
Prep crates, edits and setlists.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Promo, contracts and riders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Play live and read the floor.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Room sound, desk and technical faults.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Venue, talent buyer and crowd.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
Brand, touring and own catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Prep crates, edits and setlists
- Promo, contracts and riders
- Play live and read the floor
- Room sound, desk and technical faults
- Venue, talent buyer and crowd
- Brand, touring and own catalogue
- pinchadiscos
- disc jockey
Sources for this job· O*NET 27-2042.00· ESCO/ISCO 2652