Gambling Change Persons and Booth Cashiers
Also called: Cage Cashier, Cashier, Change Person, Slot AttendantExchange coins, tokens, and chips for patrons' money. May issue payoffs and obtain customer's signature on receipt. May operate a booth in the slot machine area and furnish change persons with money bank at the start of the shift, or count and audit money in drawers.
On a phone, press and hold a picture to save it to Photos.
opens your phone's share sheet, where you can save both to Photos
What the data says: AI could halve the time on 8 of its 13 tasks, and jobs are projected to shrink 1.9% by 2035. How to think about this →
About this projection
BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”
It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”
On its AI exposure groups, BLS says exposure “does not imply job loss.”
Recent conditions
- In 2024, 9.8% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Cashiers”
- From Sep 2025 to Aug 2026, 11.1 hires for every 10 job openings in arts, entertainment, and recreation, which employs about 57% of people in this work, against 7.3 across all industries BLS JOLTS
One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.11.1 this industry7.3 all industries
Median pay by state BLS OEWS May 2025, state estimates
Tap a state for its figures.
Median pay in every state
| State | Median | Middle half earn | Jobs |
|---|---|---|---|
| Arizona | $63,400 | $45,530 to $70,150 | 680 |
| California | $37,350 | $35,530 to $40,770 | 4,360 |
| Colorado | $38,320 | $32,790 to $49,290 | 320 |
| Connecticut | $38,350 | $34,010 to $38,650 | not published |
| Delaware | $37,140 | $31,200 to $38,080 | 40 |
| Florida | $37,770 | $30,280 to $45,450 | 630 |
| Illinois | $32,200 | $31,200 to $37,230 | 230 |
| Indiana | $29,020 | $27,190 to $36,130 | 410 |
| Iowa | $38,230 | $30,870 to $38,790 | 400 |
| Kansas | $34,000 | $27,900 to $39,440 | 130 |
| Kentucky | $38,060 | $38,060 to $45,230 | 30 |
| Louisiana | $23,390 | $22,380 to $29,040 | 990 |
| Maryland | $41,220 | $35,520 to $41,220 | 200 |
| Massachusetts | not published | not published | 110 |
| Michigan | $37,910 | $34,400 to $38,770 | 1,210 |
| Minnesota | $33,820 | $24,460 to $41,750 | 450 |
| Mississippi | $30,160 | $22,860 to $37,000 | 640 |
| Missouri | $39,130 | $29,830 to $44,090 | 210 |
| Montana | $27,910 | $24,260 to $30,670 | 290 |
| Nebraska | $28,080 | $28,080 to $34,030 | 40 |
| Nevada | $30,620 | $24,960 to $38,390 | 3,080 |
| New Jersey | $37,850 | $32,650 to $44,790 | 340 |
| New Mexico | $30,800 | $27,680 to $35,540 | 380 |
| New York | $48,110 | $39,820 to $65,490 | 830 |
| North Carolina | not published | not published | 80 |
| North Dakota | $49,830 | $49,810 to $75,260 | 100 |
| Ohio | $32,110 | $31,010 to $39,270 | 220 |
| Oklahoma | $28,660 | $22,960 to $31,160 | 1,120 |
| Oregon | $37,010 | $35,020 to $50,850 | 180 |
| Pennsylvania | $34,800 | $31,030 to $44,280 | 310 |
| Puerto Rico | $22,050 | $22,030 to $32,750 | 190 |
| South Dakota | $30,020 | $28,400 to $35,270 | 520 |
| Texas | $62,400 | $30,430 to $78,730 | 910 |
| Washington | $38,640 | $37,690 to $47,080 | 670 |
| West Virginia | $22,080 | $21,340 to $31,400 | 610 |
| Wisconsin | $37,020 | $30,340 to $45,310 | 200 |
Nationally: $36,220. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this
How AI touches the work
What AI could speed up, task by task, and where people already use it.
AI could halve the time on 8 of its 13 tasks
| AI rating | Its main tasks | Share of Claude conversations May 2026 |
|---|---|---|
| AI + software | Exchange money, credit, tickets, or casino chips and make change for customers. | Not published |
| Not much | Count money and audit money drawers. | Not published |
| AI + software | Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations. | Not published |
| Not much | Check identifications to verify age of players. | Not published |
| AI + software | Maintain cage security according to rules. | Not published |
| AI + software | Reconcile daily summaries of transactions to balance books. | Not published |
See all 13 tasks
| Not much | Obtain customers' signatures on receipts when winnings exceed the amount held in a slot machine. | Not published |
| AI + software | Listen for jackpot alarm bells and issue payoffs to winners. | Not published |
| Not much | Sell gambling chips, tokens, or tickets to patrons, or to other workers for resale to patrons. | Not published |
| AI + software | Calculate the value of chips won or lost by players. | Not published |
| AI + software | Furnish change persons with a money bank at the start of each shift. | Not published |
| AI + software | Accept credit applications and verify credit references to provide check-cashing authorization or to establish house credit accounts. | Not published |
| Not much | Clean casino areas. | Not published |
Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 0 of the 13 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.
Where people already use AI
The tasks above say what AI could speed up. This shows what people are using it for. Its 13 tasks fall under 10 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.
- #49 Calculate financial data
| Work activity | This occupation's tasks under it | People asked AI for help in 10,000 conversations |
AI did it for them in 10,000 conversations |
|---|---|---|---|
| Execute financial transactions | |||
| Evaluate the quality or accuracy of data | |||
| Reconcile financial data | |||
| Calculate financial data | |||
| Obtain formal documentation or authorization | |||
| Verify personal information | |||
| Clean tools, equipment, facilities, or work areas | |||
| Sell products or services |
Show all 10 activities
| Maintain sales or financial records | |||
| Monitor safety or security of work areas, facilities, or properties |
How people in this work use Claude
What people in this work made with Claude % of conversations
- Data or a spreadsheet44%
- A document or report12%
- Math or a calculation12%
- A plan or strategy12%
- Advice or a recommendation6%
How they worked with Claude
81% of these conversations were about work. Anthropic Economic Index, May 2026.
How to read this
Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for gambling change persons and booth cashiers specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.
The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.
More in the Guide: task ratings · task order · work activities · Copilot figures · Claude
High exposure doesn't mean fewer jobs
BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.
Career moves into and out of this occupation
From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.
Where people moved in from
of 575 moves in
- 1 Tellers High -13.2% 31%
- 2 Bartenders Moderate +5.0% 21%
- 3 Customer Service Representatives Very high -5.3% 6%
- 4 Financial Managers Very high +9.7% 6%
- 5 Accountants and Auditors Very high +5.0% 5%
Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).
Education and training for the occupation
O*NET survey of workers in this occupation
- 96% high school
- 1% postsecondary certificate
- 2% some college
O*NET 31.0 survey of workers in this occupation · 28 people answered.
Census survey (American Community Survey)
- 23% less than high school
- 38% high school
- 24% some college
- 6% associate's
- 7% bachelor's
- 1% master's
Census ACS 2024, all workers in the Census group “Cashiers” · 29,188 people surveyed.
Why the two can differ
O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide
Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Cashiers”
Jobs that require a credential BLS Occupational Requirements Survey 2023
BLS publishes no credential figures for this occupation.
Look up certifications, training and licenses U.S. Department of Labor
- Certification Finder ↗ certifications CareerOneStop lists for this occupation
- Training Finder ↗ schools and programs, nationwide; narrow the place there
- License Finder ↗ licenses by state
- Apprenticeships: DOL's list of apprenticeable occupations doesn't include this one.
These open in a new tab and send only the occupation's public code. More in the Guide
BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS
See it online, and explore any career: https://www.pathmosaic.com/card/41-2012.00