Tellers

$39k median pay347k US jobsHigh school diploma or equivalent
7
out of 10
AI-Powered

Tellers face high exposure because their core tasks—processing routine financial transactions and verifying information—are digital in nature and highly susceptible to automation through AI and advanced self-service technology. While the physical handling of cash provides a slight buffer, the rapid shift toward mobile banking, AI-driven fraud detection, and interactive video kiosks is significantly reducing the need for human intervention in these roles.

Task breakdown

AI can do now32%
AI can assist26%
Human domain42%

Based on 15 O*NET work activities for this occupation

I want to...

Tools built for this work

None that we know of at this time. We list tools built for the specific work of this occupation, not general-purpose office software — and for this role we have not found one worth recommending yet. We keep looking.

3 ways to level up

1

Automate your reporting pipeline

Connect your data sources to AI-powered reporting. Generate weekly summaries, dashboards, or client updates automatically. Focus your time on analysis, not assembly.

Moves you from 7 → 8
2

Deploy AI agents for routine decisions

Identify decisions that follow clear rules (scheduling, triage, categorization) and set up AI agents to handle them. You review exceptions, not every case.

Frees 5+ hours per week
3

Train your team on AI-first workflows

Run a 1-hour workshop showing your team how you use AI. Share your best prompts and workflows. The compounding effect of team-wide adoption far exceeds individual use.

Multiplies your impact across the team

Estimated time savings

8.4hours per week

Conservative estimate based on AI exposure score and a 40-hour work week. Assumes 30% of exposed tasks produce real time savings today.

Personalized plan

Answer 3 quick questions and get a tailored action plan with specific tools, timelines, and next steps for your role.

AI Score measures how much AI opportunity your role has. Higher scores mean more potential for AI-assisted productivity gains. Scores are derived from O*NET task data across 342 occupations. This is a starting point, not a verdict. Tool recommendations are based on industry fit and are not endorsements.

Methodology · jobsdata.ai