IS WORK OVER?

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

Bank 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.

TaskShareAIPoints
Deposits, withdrawals, transfers and cashing up.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Serve the window, identify the customer and manage queues.
Estimate

No public source provides a precise figure. This is our estimate.

18%22%+4
Sell simple products and update records.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Spot irregularities, notes and doubtful operations.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Balance the till, audits and hand over to treasury.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Rules, cash and liability for the window.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Telemarketer

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.

TaskShareAIPoints
Script, queue and the shift.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
The call, the no and the one who insults.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Data, GDPR and not pushing extra.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Target, the bonus and not dressing contacts.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The supervisor, quality and not skipping the no.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That they do not hang up, and not lying.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • scripts
  • call queues
  • GDPR
  • targets
  • call quality
  • shifts
  • contacts
  • the no

Sources for this job· O*NET 41-9041.00· ESCO/ISCO 4222

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