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AI Automation Index
Task-level automation exposure for First-Line Supervisors of Gambling Services Workers: 30 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
30 of 30 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
26,010 people hold this job — size, not growth
Projected 2025–35
2,600 openings a year · BLS line item
BLS OEWS publishes 40 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$37,180 – $77,350
Highest medians
Lowest medians
State figures come from the 39-1013 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
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.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
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.
30 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
8 tasks
12 tasks
10 tasks
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 →Monitor game operations to ensure that house rules are followed, that tribal, state, and federal regulations are adhered to, and that employees provide prompt and courteous service.
decision support — AI flags quality/safety issues; human owns physical verification
Observe gamblers' behavior for signs of cheating, such as marking, switching, or counting cards, and notify security staff of suspected cheating.
interpersonal — Cross-staff problem resolution involves politics and trust
Perform paperwork required for monetary transactions.
data analysis — Maintain financial records; human reconciles exceptions
Respond to and resolve patrons' complaints.
interpersonal — Complaint resolution needs authority and rapport
Greet customers and ask about the quality of service they are receiving.
interpersonal — Physical presence greeting customers
Perform minor repairs or make adjustments to slot machines, resolving problems such as machine tilts and coin jams.
physical manipulation — Basic equipment maintenance requires hands-on work
Maintain familiarity with the games at a facility and with strategies or tricks used by cheaters at such games.
information retrieval — AI synthesizes business info; contextual grasp is human
Monitor payment of hand-delivered jackpots to ensure promptness.
decision support — AI flags quality/safety issues; human owns physical verification
Explain and interpret house rules, such as game rules or betting limits, for patrons.
information retrieval — AI explains policies; human handles live questions
Establish and maintain banks and table limits for each game.
interpersonal — Running live gaming floor with patrons and stakes
Reset slot machines after payoffs.
physical manipulation — Hands-on operation of gaming equipment in venue
Answer patrons' questions about gaming machine functions and payouts.
interpersonal — Routine inquiries answerable; nuanced cases need human
Record the specifics of malfunctioning machines and document malfunctions needing repair.
text generation — Prepare operational reports from data
Monitor patrons for signs of compulsive gambling, offering assistance if necessary.
situated mobility — Requires live observation of patrons in physical space
Supervise the distribution of complimentary meals, hotel rooms, discounts, or other items given to players, based on length of play and amount bet.
physical manipulation — Hands-on distribution of resources to people
Report customer-related incidents occurring in gaming areas to supervisors.
interpersonal — Cross-staff problem resolution involves politics and trust
Attach "out of order" signs to malfunctioning machines, and notify technicians when machines need to be repaired or removed.
interpersonal — Cross-staff problem resolution involves politics and trust
Enforce safety rules, and report or remove safety hazards as well as guests who are underage, intoxicated, disruptive, or cheating.
interpersonal — Cross-staff problem resolution involves politics and trust
Exchange currency for customers, converting currency into requested combinations of bills and coins.
physical manipulation — Gaming transactions involve physical chips and live tables
Evaluate workers' performance and prepare written performance evaluations.
text generation — Prepare operational reports from data
Monitor stations and games and move dealers from game to game to ensure adequate staffing.
decision support — AI flags quality/safety issues; human owns physical verification
Clean and maintain slot machines and surrounding areas.
physical manipulation — Physical cleaning of facilities and equipment
Monitor functioning of slot machine coin dispensers and fill coin hoppers when necessary.
decision support — AI flags quality/safety issues; human owns physical verification
Record, issue receipts for, and pay off bets.
data analysis — Maintain financial records; human reconciles exceptions
Determine how many gaming tables to open each day and schedule staff accordingly.
decision support — Assignments drafted; accountability and negotiation human
Direct workers compiling summary sheets for each race or event to record amounts wagered and amounts to be paid to winners.
interpersonal — Directing service workers requires live human presence
Establish policies on types of gambling offered, odds, or extension of credit.
text generation — Service plans drafted; operational ownership human
Review operational expenses, budget estimates, betting accounts, or collection reports for accuracy.
data analysis — Budget management aided by AI, human owns decisions
Interview and hire workers.
interpersonal — Live interview judgment and rapport; AI can only screen
Train, supervise, schedule, and evaluate workers.
decision support — Draft schedules; human owns fairness and coverage
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
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 →Related Article
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