Not Very Resilient

Last Update: 6/19/2026

AI Resilience Score for Tellers:

28.7%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient bank teller work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For bank tellers, all seven sources had data, though AI exposure was split: Anthropic rated it Low while AI Resilience Model, Microsoft, and Will Robots Take My Job all rated it High, keeping confidence at Medium. Weak pay and mobility signals dragged economic opportunity down, and that combination lands tellers at "Not Very Resilient."

AI Resilience Report forTellers

$39,340 median salary29,800 annual openingsSOC Code: 43-3071.00

Tellers are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Teller work is labeled "Not Very Resilient" mainly because so much of the core, day-to-day work (counting cash, processing deposits, checking balances) has already been handed off to ATMs, mobile apps, and now smarter AI-powered machines, leaving fewer routine tasks for humans to do. On top of that, the U.

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This role is not very resilient

Teller work is labeled "Not Very Resilient" mainly because so much of the core, day-to-day work (counting cash, processing deposits, checking balances) has already been handed off to ATMs, mobile apps, and now smarter AI-powered machines, leaving fewer routine tasks for humans to do. On top of that, the U.

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Analysis of Current AI Resilience

Tellers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Tellers jobs?

If you're worried about AI taking over teller jobs, the honest answer is: a lot of the routine work has already been automated — but not always by what people call "AI." For decades, ATMs, mobile apps, and check-counting machines have handled the cash counting, deposits, and balance-checking that used to fill a teller's day. Now AI is being layered on top of that infrastructure. The ICBA reports that AI is helping ATMs run more like smart, connected service points, with natural voice interactions, audio-guided experiences, and "AI-powered digital humans" that can handle staffing gaps and personalize the experience [1].

Vendors like Diebold Nixdorf and NCR Atleos use machine learning for predictive maintenance and fraud detection — for example, NCR Atleos says its Intelligent Diagnostics platform delivers repair guidance "with over 95% accuracy" [1]. At the human level, the role itself is shifting toward augmentation: community banks are reinventing teller positions into "universal bankers, relationship bankers or concierge bankers" [1] who use tech to focus on advice and relationships. Importantly, history shows technology doesn't always erase tellers — economists have noted the number of U.S. tellers actually grew from roughly 500,000 to nearly 600,000 as ATMs spread, before mobile banking began reducing branch visits [2].

Sources

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AI Adoption

How fast is AI adoption growing for Tellers?

Adoption is moving fast because banks see standing still as the bigger danger — a recent American Bankers Association survey found that bank leaders now view "doing nothing" on AI as the greatest risk they face [3], a major shift from earlier "wait and see" attitudes. Big banks are pouring money into it; Citizens, for instance, has described AI as speeding up everything from coding to customer service [4]. Costs are dropping as cloud-based AI tools become available off-the-shelf from vendors, making adoption realistic even for smaller community banks.

The labor market matters too: the U.S. Bureau of Labor Statistics projects teller employment will decline 13% from 2024 to 2034, with about 29,800 openings each year coming from workers transferring out or retiring [5]. But adoption isn't unlimited. Banking is heavily regulated, and the ICBA warns that community banks must carefully vet vendors on what data is collected, where it goes, and how the AI makes decisions [1].

Customers also still value human help for complex problems, fraud disputes, and big life moments like buying a home. The good news for young people: the skills AI can't easily replace — empathy, problem-solving, clear communication, and trust-building — are exactly the skills banks are now hiring tellers for. The job isn't disappearing overnight; it's evolving into something more relational and more skilled.

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Will AI replace Tellers?

Will AI replace Tellers?

In part. We think AI will eventually automate a real share of this work, but the human skills at the core of banking still matter.

Teller work was already being reshaped before modern AI arrived, through ATMs, mobile apps, and automated check processing. Now AI is accelerating that shift, with smart ATMs handling natural voice interactions and "AI-powered digital humans" filling service gaps [1]. The BLS projects teller employment will decline 13% through 2034 [5], and our 28.7% AI Resilience Score reflects that this role is more exposed than most. That is worth taking seriously.

What stays human is the relational side: helping someone through a fraud dispute, explaining a loan, building trust during a big financial decision. Banks are already reinventing teller roles into "universal bankers" and "relationship bankers" who focus on advice rather than transactions [1]. An American Bankers Association survey found bank leaders now see doing nothing on AI as their greatest risk [3], which means the institutions that survive will need people who can work alongside these tools, not just operate a drawer.

If you are early in your career, treat this role as a launchpad. The empathy, communication, and problem-solving you build here transfer directly into financial advising, branch management, and customer experience roles that AI is much less likely to touch.

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Latest AI news for Tellers

As AI transforms the banking industry, articles highlight both challenges and opportunities for future tellers. For instance, while reports indicate that jobs like bank tellers may decline due to automation, firms like DBS are actively retraining staff for new roles that leverage AI technology. This shift suggests that aspiring tellers can enhance their skills to remain relevant, focusing on customer relationship management and financial advisory roles. Embracing AI tools can help them adapt and thrive in this evolving landscape, fostering AI resilience in their careers.

More Career Info

Career: Tellers

They assist customers at banks by handling deposits, withdrawals, and answering questions about their accounts.

Parent Careers

Employment & Wage Data

Median Wage

$39,340

Jobs (2024)

347,400

Growth (2024-34)

-12.9%

Annual Openings

29,800

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

45% ResilienceCore Task

Explain, promote, or sell products or services, such as travelers' checks, savings bonds, money orders, and cashier's checks, using computerized information about customers to tailor recommendations.

2

35% ResilienceCore Task

Resolve problems or discrepancies concerning customers' accounts.

3

32% ResilienceCore Task

Order a supply of cash to meet daily needs.

4

30% ResilienceSupplemental

Perform clerical tasks, such as typing, filing, and microfilm photography.

5

28% ResilienceCore Task

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

6

24% ResilienceCore Task

Obtain and process information required for the provision of services, such as opening accounts, savings plans, and purchasing bonds.

7

22% ResilienceCore Task

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.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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