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Occupation deep dive / O*NET-SOC 43-3071.00 / Last verified June 2026

Will AI replace bank tellers?

ILO 2025 places bank tellers in the very-high exposure gradient: the core deposit, withdrawal, cash-handling, and transaction-recording tasks are routine financial-clerical work of the kind most exposed to automation and generative AI. What is less exposed is the frontline judgement in fraud and exception cases and the customer-relationship and referral work that banks increasingly ask branch staff to lead.

AI impact on bank teller jobs in 2025-2026

The direct answer: AI is changing bank teller work at task level, not eliminating the occupation outright. ILO 2025 places bank tellers in the very high generative-AI exposure gradient, 3 of the top 5 O*NET tasks are classified displaceable, and BLS projects employment to decline 13% through 2034.

ILO 2025 exposure

Very HighFour-band gradient, refined index

Displaceable top tasks

3 of 5Brookings 2024 task rubric

BLS 2024-2034

-13%Decline, projected employment change

Will bank tellers jobs grow or shrink by 2034?

The BLS Employment Projections 2024-2034 put bank tellers at -13% projected employment change, classified decline. BLS also projects about 29,800 openings each year on average over the decade, mostly from workers retiring or moving to other occupations, even where employment is flat or declining. This is the official US decade projection from the National Employment Matrix, distinct from the ILO 2025 AI-exposure gradient above. Source: BLS Employment Projections 2024-2034.

personalise this exposure

The ILO national-average exposure for Bank Tellers is 45%. Adjust the four inputs below to see how your specific role characteristics shift the number up or down.

Years in this kind of role

5 years

Your current AI-tool usage

% of work that is routine / repeatable

50%

% of work requiring judgement / relationships

30%

MODERATE EXPOSURE

41%

personalised AI exposure score ยท -4% vs ILO baseline (45%)

adjustment breakdown

Years experience adjustment0%
AI tooling (moderate)-4%
Routine work share0%
Judgement / relational work share0%

Heavy AI tooling adoption reduces personalised exposure (you're already augmenting). Routine fractions above 50% raise exposure. Years of experience modestly insulate (institutional knowledge, judgement). Judgement / relational fractions reduce exposure most. The model adjusts the ILO baseline by these factors; treat as a personalised reading, not a precise forecast.

Panel 1 / Exposure

Very High exposure

LOWMODERATEHIGHVERY HIGHILO 2025 EXPOSURE GRADIENT

ILO 2025 places bank tellers in the very-high exposure gradient: the core deposit, withdrawal, cash-handling, and transaction-recording tasks are routine financial-clerical work of the kind most exposed to automation and generative AI. What is less exposed is the frontline judgement in fraud and exception cases and the customer-relationship and referral work that banks increasingly ask branch staff to lead.

Source: ILO 2025 refined Generative AI Occupational Exposure Index. ISCO-08 mapping 4211. View methodology.

Panel 2 / Tasks

Top tasks for this role

  • Receive checks and cash for deposit, verify amounts, and check accuracy of deposit slips.

    Deposit capture and amount verification are directly served by ATMs, mobile-deposit apps, and automated cheque-reading; this is among the most-exposed teller tasks.

  • Cash checks and pay out money after verifying that signatures are correct, that written and numerical amounts agree, and that accounts have sufficient funds.

    Balance checks, signature matching, and cash dispensing are automated at ATMs and teller-assist machines for the routine cases.

  • Enter customers' transactions into computers to record transactions and issue computer-generated receipts.

    Transaction keying and receipt generation are core routine clerical steps that self-service and automated channels replace directly.

  • Balance currency, coin, and checks in cash drawers at ends of shifts and calculate daily transactions, using computers, calculators, or adding machines.

    Cash-recycling machines and automated reconciliation handle routine drawer balancing; judgement on discrepancies and cash-flow exceptions remains human.

  • Examine checks for endorsements and to verify other information, such as dates, bank names, identification of the persons receiving payments, and the legality of the documents.

    Automated fraud and document checks flag routine issues, but adjudicating suspicious cases and applying know-your-customer judgement stays with staff.

Source: O*NET 30.2 task list (CC-BY 4.0); Brookings 2024 task-level rubric. View methodology.

Panel 3 / What is growing

Growth and skills outlook

BLS 2024-2034

Decline

-13% projected change (no published figure jobs).

WEF 2025 / Top growing skills relevant to this role

  • AI and big data (Technology)
  • Technological literacy (Technology)
  • Empathy and active listening (Working with people)

Brookings 2024 places routine transaction processing among the most-exposed clerical work. For tellers the augmentation-prone residue is narrow but real: complex customer problem-solving, fraud and exception judgement, and the relationship and product-referral work banks are shifting onto branch staff as routine transactions move to self-service.

Source: BLS Employment Projections 2024-2034; WEF Future of Jobs Report 2025. View methodology.

What this occupation does

Bank tellers (the BLS occupation title is Tellers, SOC 43-3071) receive and pay out money, record customer transactions, cash cheques, and handle routine account activity at bank and credit-union branches. The role spans deposit and withdrawal processing, cash handling and drawer balancing, cheque verification, and frontline customer service, including referring customers to other bank products and staff.

The exposure score in context

The ILO 2025 refined Generative AI Occupational Exposure Index places bank tellers in the very high exposure gradient. ILO 2025 places bank tellers in the very-high exposure gradient: the core deposit, withdrawal, cash-handling, and transaction-recording tasks are routine financial-clerical work of the kind most exposed to automation and generative AI. What is less exposed is the frontline judgement in fraud and exception cases and the customer-relationship and referral work that banks increasingly ask branch staff to lead.

The mapping uses ISCO-08 code 4211 (BLS-published SOC-to-ISCO crosswalk). The full methodology, including the dominant-match rule for one-to-many crosswalks, is at /methodology/#algorithm.

The top five tasks, classified

The top five O*NET 30.2 tasks for this occupation, each tagged Displaceable / Changing / Growing per the Brookings 2024 task-level rubric. The tag definitions are at /glossary/#displaceable-task, /glossary/#changing-task, and /glossary/#growing-task.

  1. Displaceable: Receive checks and cash for deposit, verify amounts, and check accuracy of deposit slips. Deposit capture and amount verification are directly served by ATMs, mobile-deposit apps, and automated cheque-reading; this is among the most-exposed teller tasks.
  2. Displaceable: Cash checks and pay out money after verifying that signatures are correct, that written and numerical amounts agree, and that accounts have sufficient funds. Balance checks, signature matching, and cash dispensing are automated at ATMs and teller-assist machines for the routine cases.
  3. Displaceable: Enter customers' transactions into computers to record transactions and issue computer-generated receipts. Transaction keying and receipt generation are core routine clerical steps that self-service and automated channels replace directly.
  4. Changing: Balance currency, coin, and checks in cash drawers at ends of shifts and calculate daily transactions, using computers, calculators, or adding machines. Cash-recycling machines and automated reconciliation handle routine drawer balancing; judgement on discrepancies and cash-flow exceptions remains human.
  5. Changing: Examine checks for endorsements and to verify other information, such as dates, bank names, identification of the persons receiving payments, and the legality of the documents. Automated fraud and document checks flag routine issues, but adjudicating suspicious cases and applying know-your-customer judgement stays with staff.

What is growing in this role

The BLS Employment Projections 2024-2034 outlook for bank tellers is decline (-13% projected change, no published absolute figure). Source: BLS Employment Projections 2024-2034.

Per the WEF Future of Jobs Report 2025, the top three growing skills relevant to this role are: AI and big data, Technological literacy, Empathy and active listening. The skills are mapped to the occupation's O*NET skills profile.

Brookings 2024 places routine transaction processing among the most-exposed clerical work. For tellers the augmentation-prone residue is narrow but real: complex customer problem-solving, fraud and exception judgement, and the relationship and product-referral work banks are shifting onto branch staff as routine transactions move to self-service.

Bank Tellers in the WEF Future of Jobs Report 2025

Bank tellers and related clerks are the second-fastest-declining role in the WEF Future of Jobs Report 2025, projected to fall about 31% by 2030 as online and mobile banking reduce branch visits. The WEF global proportional decline (~31% to 2030) and the BLS US projection (-13% to 2034) both point down; BLS attributes the fall to fewer bank branches and greater in-branch automation, while still projecting about 29,800 openings a year to replace departing workers. Source: World Economic Forum, Future of Jobs Report 2025 (January 2025). The WEF lists are occupation-family level and global, ranked by change to 2030; they are distinct from the BLS 2024-2034 US projection above. The full named declining and growing lists are on what is growing.

Similar occupations

O*NET 30.2 lists the following related roles. Each links to its own deep dive where one is published.

Industry context

This role sits primarily in the Finance industry. The industry-level rollup includes the cross-occupation exposure profile and the BLS-published industry-level outlook.

How this assessment was made

The full methodology is at /methodology/: ILO 2025 refined index for the gradient, Brookings 2024 rubric for the task tags, BLS 2024-2034 for the growth outlook, WEF 2025 for the skills demand. The pre-empted critiques are at /how-to-argue-with-this/.

AI impact on bank teller jobs: frequently asked questions

Will AI replace bank tellers in 2025-2026?

Not outright. The ILO 2025 refined Generative AI Occupational Exposure Index places bank tellers in the very high exposure gradient, and 3 of the top 5 O*NET 30.2 tasks are classified displaceable under the Brookings 2024 task rubric, with the rest changing or growing. AI is changing bank teller work at task level in 2025-2026 rather than eliminating the occupation.

Are bank teller jobs growing or declining?

The US Bureau of Labor Statistics projects employment for bank tellers to decline 13% (decline) between 2024 and 2034. Even so, BLS projects about 29,800 openings for bank tellers each year on average over the decade, mostly to replace workers who retire or move to other occupations. Source: BLS Employment Projections 2024-2034, National Employment Matrix.

Which bank teller tasks are most exposed to AI?

The most-exposed top tasks, classified displaceable under the Brookings 2024 rubric, are: receive checks and cash for deposit, verify amounts, and check accuracy of deposit slips; cash checks and pay out money after verifying that signatures are correct, that written and numerical amounts agree, and that accounts have sufficient funds; enter customers' transactions into computers to record transactions and issue computer-generated receipts.

What skills are growing for bank tellers?

Per the WEF Future of Jobs Report 2025, the top growing skills relevant to this role are AI and big data, Technological literacy, Empathy and active listening.

From the cluster