The Task Exposure Indexv2026.Q3
Occupation · SOC 41-2012.00 · Job Zone 2

AI exposure: Gambling Change Persons and Booth Cashiers

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.

Reading this score

computed

44.9% of this occupation's weighted task load is exposed, which puts Gambling Change Persons and Booth Cashiers at the 81th percentile of 923 occupations. The capability is largely there. Its average task scores 2.7 out of 4 on what a current system can produce, and the frictions that hold other jobs in place are comparatively weak here.

No single friction dominates this occupation. The strongest is context at 1.35 out of 3 and the weakest is presence at 0.96, which is a narrow spread. Where nothing structural stands in the way, exposure tracks capability almost directly, and capability is the thing that changes every quarter.

The most exposed thing this job does is Calculate the value of chips won or lost by players, at 86.7%. The least is Clean casino areas, at 0.0%. A gap of 86.7% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within sales occupations, this one is less exposed than the median of 50.0% across the group's 22 roles, with 16 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.

What would move this score. Of 13 tasks, 9 are currently banded exposed, 2 assisted and 2 untouched. For that distribution to shift materially would take capability alone, since there is little structural friction here to slow adoption once a system can do the work. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Task by task

13 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Calculate the value of chips won or lost by players.86.7%13.3%0.0%4.79exposed
Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations.73.3%26.7%0.0%4.88exposed
Count money and audit money drawers.73.3%26.7%0.0%4.76exposed
Reconcile daily summaries of transactions to balance books.66.7%33.3%0.0%4.74exposed
Accept credit applications and verify credit references to provide check-cashing authorization or to establish house credit accounts.60.0%40.0%0.0%4.44exposed
Check identifications to verify age of players.45.0%30.0%25.0%4.75exposed
Obtain customers' signatures on receipts when winnings exceed the amount held in a slot machine.45.0%30.0%25.0%4.83exposed
Exchange money, credit, tickets, or casino chips and make change for customers.33.3%29.2%37.5%4.78exposed
Sell gambling chips, tokens, or tickets to patrons, or to other workers for resale to patrons.30.0%20.0%50.0%4.30exposed
Furnish change persons with a money bank at the start of each shift.20.0%30.0%50.0%4.44assisted
Listen for jackpot alarm bells and issue payoffs to winners.20.0%30.0%50.0%4.42assisted
Maintain cage security according to rules.8.3%16.7%75.0%4.75untouched
Clean casino areas.0.0%0.0%100.0%3.89untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

DimensionMeanScale
Capability2.730-4
Embodiment1.120-3
Presence0.960-3
Accountability1.270-3
Context1.350-3
Verification cost1.230-3

What this means in practice

Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.