Gambling Change Persons and Booth Cashiers

O*NET-SOC code: 41-2012.00

Exchange 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.

Data source: BLSPublished: 2026-08
Moderate· relative
LowFour relative bandsVery high
Group-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
Source dataset (XLSX download)
Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
Source dataset (CSV download)
Data source: ILOPublished: 2025
0.39
0.09Range of values carried here0.70
Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
Source dataset (PDF download)

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

15 rated tasks · 4 tasks with β ≥ 0.5 (26.7%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
2 rated tasks are not in the O*NET 31.0 task list; their scores are kept as published for O*NET 27.2.

Source: OpenAI "GPTs are GPTs" exposure rubric
Release: gh-main-0471612
License: MIT License, Copyright (c) 2024 OpenAI

Task (O*NET 30.2)	APIRaw / share %
Check identifications to verify age of players. 41-2012.00	0.00000.0
Not observed on any surface — 12 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states.
Count money and audit money drawers.	—0
Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations.	—0
Maintain cage security according to rules.	—0
Reconcile daily summaries of transactions to balance books.	—0
Exchange money, credit, tickets, or casino chips and make change for customers.	—0
Listen for jackpot alarm bells and issue payoffs to winners.	—0
Obtain customers' signatures on receipts when winnings exceed the amount held in a slot machine.	—0
Sell gambling chips, tokens, or tickets to patrons, or to other workers for resale to patrons.	—0
Calculate the value of chips won or lost by players.	—0
Furnish change persons with a money bank at the start of each shift.	—0
Accept credit applications and verify credit references to provide check-cashing authorization or to establish house credit accounts.	—0
Clean casino areas.	—0

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

Task (O*NET 27.2)	βE1 + 0.5 × E2
Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations. O*NET Task ID 6999	1.0
Reconcile daily summaries of transactions to balance books. O*NET Task ID 7005	1.0
Calculate the value of chips won or lost by players. O*NET Task ID 7007	1.0
Accept credit applications and verify credit references to provide check-cashing authorization or to establish house credit accounts. O*NET Task ID 7009	0.5

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

All O*NET 31.0 task statements (13)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

Task (O*NET 31.0)	Type
Count money and audit money drawers.	Core
Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations.	Core
Maintain cage security according to rules.	Core
Reconcile daily summaries of transactions to balance books.	Core
Exchange money, credit, tickets, or casino chips and make change for customers.	Core
Check identifications to verify age of players.	Core
Listen for jackpot alarm bells and issue payoffs to winners.	Supplemental
Obtain customers' signatures on receipts when winnings exceed the amount held in a slot machine.	Supplemental
Sell gambling chips, tokens, or tickets to patrons, or to other workers for resale to patrons.	Supplemental
Calculate the value of chips won or lost by players.	Supplemental
Furnish change persons with a money bank at the start of each shift.	Supplemental
Accept credit applications and verify credit references to provide check-cashing authorization or to establish house credit accounts.	Supplemental
Clean casino areas.	Supplemental

Anthropic, "What work can robots do?"2026-09

1.37/ 3· Robot exposure index

0 none3 unstructured settings

Scale, basis and source

Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time

Physical tasks among this occupation's O*NET 29.3 tasks

Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.

Source dataset

The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.

Tier of each physical task

Robot environment tiers (E0–E3)

E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site

Only tasks classified as physical are listed; other tasks have no tier in the source.

Task (O*NET 29.3)	Robot environment tier
Count money and audit money drawers.	E2 structured facilities
Maintain cage security according to rules.	E2 structured facilities
Exchange money, credit, tickets, or casino chips and make change for customers.	E2 structured facilities
Listen for jackpot alarm bells and issue payoffs to winners.	E1 purpose-built robot settings
Obtain customers' signatures on receipts when winnings exceed the amount held in a slot machine.	E1 purpose-built robot settings
Sell gambling chips, tokens, or tickets to patrons, or to other workers for resale to patrons.	E2 structured facilities
Furnish change persons with a money bank at the start of each shift.	E2 structured facilities
Clean casino areas.	E1 purpose-built robot settings

Employment outlook (BLS)

Employment, 2025: 22K
Projected employment, 2035: 22K
Change (2025–35): -1.9%
Median annual wage, 2025: $36,220
Typical education needed for entry: No formal educational credential

lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

Korea classification links (KSCO)

Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.

KSCO code	KSCO title	Relation	Status
52142	요금 정산원	Related, not a match	confirmed

Relation and status definitions(kr-direct v1.1)

ILO occupational description

AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.

ISCO-08 5230Cashiers and Ticket Clerks

The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.

Cashiers and ticket clerks operate cash registers, optical price scanners, computers or other equipment to record and accept payment for the purchase of goods, services and admissions in settings such as stores, restaurants and ticket offices.

Tasks

(a) receiving and verifying payment by cash, cheque, credit card or automatic debit in stores, ticket offices or similar establishments;
(b) giving change and issuing receipts;
(c) issuing tickets for attendance at sporting and cultural events;
(d) counting and recording money received or paid out and balancing against cash register sales records;
(e) receiving incoming cash, checking it against sales slips and other documents, and preparing it for deposit at financial institute;
(f) operating cash register to calculate total to be paid from or to clients;
(g) scanning, weighing and recording prices of goods;
(h) wrapping and placing merchandise in bags.

Example occupations

Checkout operator · Service station cashier · Service station console operator · Store Cashier · Ticket issuing clerk (entertainment and sporting events)

Sources: ILO ISCO-08 — details: Credits

ESCO occupational vocabulary

Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.

casino cashierESCO 4212.3This occupation is broader
Casino cashiers exchange tokens, coins or chips for money. They arrange pay-outs and obtain customers' signatures and identification. They audit and count money in a cash register, enforcing money laundering regulations.
lottery cashierESCO 5230.2This occupation is broader
Lottery cashiers exchange the registration of set of numbers or symbols for money and give tickets to the players. They pay out prizes and obtain customers' signatures and identification. They audit and count money in the cash register, enforcing regulations to prevent money laundering.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

ESCO reuse terms and the modification notice are in Credits.

France classification links (ROME)

AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.

ROME code	ROME title (French)	Relation
G1206	Croupier / Croupière	Related, not a match
M1203	Comptable	Related, not a match

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

Spain classification links (CNO-11)

AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.

CNO-11 code	CNO-11 title (Spanish)	Relation
4443	Empleados de sala de juegos y afines	This occupation is narrowerprovisional

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

Germany classification links (KldB)

AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.

KldB code	KldB title (German)	Relation
62112	Kassierer/innen und Kartenverkäufer/innen - fachlich ausgerichtete Tätigkeiten	This occupation is narrower
94342	Berufe im Bereich Glücks- und Wettspiel - fachlich ausgerichtete Tätigkeiten	Related, not a match

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

Japan classification links (JSCO)

AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.

JSCO code	JSCO title (Japanese)	Relation
407	娯楽場等接客員	This occupation is narrowerprovisional
261	現金出納事務員	Related, not a matchprovisional

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources