AI Automation Index

Will AI Replace Gambling Cage Workers?

Task-level automation exposure for Gambling Cage Workers: 17 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

50% weighted task index

17 of 17 tasks scored

Median Salary

$37,580 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Low

14,430 people hold this job — size, not growth

Projected 2025–35

-3.1% employment change

1,200 openings a year · BLS line item

Pay by state

BLS OEWS publishes 32 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$22,550 – $48,340

Highest medians

New York $48,340

Maryland $47,930

Florida $42,900

Washington $41,720

New Jersey $41,430

Lowest medians

Puerto Rico $22,550

Texas $27,480

West Virginia $30,490

Oklahoma $30,590

Mississippi $30,890

State figures come from the 43-3041 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 50%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 21%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 22%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 30%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 50/100 High

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 40%

7 tasks

Medium exposure (≥ 35%) 31%

5 tasks

Low exposure (below 35%) 29%

5 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#4662 · Core · 8% automatable

Maintain confidentiality of customers' transactions.

situated mobility — Physical security presence in world

Maintain security.

#4661 · Core · 65% automatable

Follow all gaming regulations.

decision support — AI tracks regulatory compliance across documents

Monitor organizational compliance with regulations.

#4665 · Core · 8% automatable

Maintain cage security.

situated mobility — Physical security presence in world

Maintain security.

#4668 · Core · 55% automatable

Cash checks and process credit card advances for patrons.

data analysis — Financial execution software-mediated; authorization human

Execute sales or other financial transactions.

#4671 · Core · 10% automatable

Supply currency, coins, chips, or gaming checks to other departments as needed.

physical manipulation — Hands-on stocking of merchandise

Stock supplies or merchandise.

#4664 · Core · 55% automatable

Convert gaming checks, coupons, tokens, or coins to currency for gaming patrons.

data analysis — Financial execution software-mediated; authorization human

Execute sales or other financial transactions.

#4663 · Core · 57% automatable

Count funds and reconcile daily summaries of transactions to balance books.

data analysis — Reconciling transaction records is rule-based matching

Reconcile records of sales or other financial transactions. Prepare cash for deposit or disbursement.

#4667 · Core · 85% automatable

Verify accuracy of reports, such as authorization forms, transaction reconciliations, or exchange summary reports.

data analysis — Transactional data verification is rule-based and reliable

Verify accuracy of financial or transactional data.

#4666 · Core · 75% automatable

Determine cash requirements for windows and order all necessary currency, coins, or chips.

decision support — Ordering via systems automatable; human approves spend

Order materials, supplies, or equipment.

#4670 · Core · 55% automatable

Perform removal and rotation of cash, coin, or chip inventories as necessary.

data analysis — Financial execution software-mediated; authorization human

Execute sales or other financial transactions.

#4672 · Core · 40% automatable

Provide assistance in the training and orientation of new cashiers.

interpersonal — General personnel training is human-led and relational

Train personnel.

#4673 · Core · 62% automatable

Provide customers with information about casino operations.

information retrieval — AI explains policies; human handles live questions

Explain regulations, policies, or procedures.

#4675 · Supplemental · 30% automatable

Prepare bank deposits, balancing assigned funds as necessary.

physical manipulation — Preparing physical cash for deposit is hands-on

Prepare cash for deposit or disbursement.

#4676 · Supplemental · 75% automatable

Prepare reports, including assignment of company funds or recording of department revenues.

text generation — Technical reports drafted; human verifies content

Prepare research or technical reports.

#4674 · Supplemental · 80% automatable

Record casino exchange transactions, using cash registers.

data analysis — Maintain financial records; human reconciles exceptions

Maintain financial or account records.

#4677 · Supplemental · 85% automatable

Establish new computer accounts.

data analysis — Data entry into systems automatable

Enter information into databases or software programs.

#4669 · Supplemental · 32% automatable

Sell gambling chips, tokens, or tickets to patrons or to other workers for resale to patrons.

interpersonal — Closing sales requires persuasion and accountability

Sell products or services.

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Community Sentiment

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Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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