Gini Loh System Tools

AI Automation Index

Will AI Replace First-Line Supervisors of Gambling Services Workers?

Task-level automation exposure for First-Line Supervisors of Gambling Services Workers: 30 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

42% weighted task index

30 of 30 tasks scored

Median Salary

$63,820 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

26,010 people hold this job — size, not growth

Projected 2025–35

+3.5% employment change

2,600 openings a year · BLS line item

Pay by state

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

Washington $77,350
Oregon $76,960
Alaska $76,340
New York $74,530
Maryland $74,160

Lowest medians

Puerto Rico $37,180
Nebraska $43,610
South Dakota $47,720
South Carolina $47,750
Montana $48,300

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.

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 42%

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

Physical work 10%

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

Judgment & influence 19%

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

Routine administration 16%

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 30/100 Moderate

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

30 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) 26%

8 tasks

Medium exposure (≥ 35%) 39%

12 tasks

Low exposure (below 35%) 35%

10 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

#23127 · Core · 45% automatable

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

Monitor operational quality or safety.
#23129 · Core · 45% automatable

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

Monitor patron activities to identify problems or potential problems. Communicate with management or other staff to resolve problems.
#23133 · Core · 80% automatable

Perform paperwork required for monetary transactions.

data analysis — Maintain financial records; human reconciles exceptions

Maintain financial or account records.
#23128 · Core · 45% automatable

Respond to and resolve patrons' complaints.

interpersonal — Complaint resolution needs authority and rapport

Resolve customer complaints or problems.
#23132 · Core · 15% automatable

Greet customers and ask about the quality of service they are receiving.

interpersonal — Physical presence greeting customers

Greet customers, patrons, or visitors.
#23130 · Core · 15% automatable

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

Perform basic equipment maintenance.
#23135 · Core · 65% automatable

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

Maintain knowledge of business operations.
#23131 · Core · 45% automatable

Monitor payment of hand-delivered jackpots to ensure promptness.

decision support — AI flags quality/safety issues; human owns physical verification

Monitor operational quality or safety.
#23134 · Core · 62% automatable

Explain and interpret house rules, such as game rules or betting limits, for patrons.

information retrieval — AI explains policies; human handles live questions

Explain regulations, policies, or procedures.
#23140 · Core · 15% automatable

Establish and maintain banks and table limits for each game.

interpersonal — Running live gaming floor with patrons and stakes

Conduct amusement or gaming activities.
#23136 · Core · 10% automatable

Reset slot machines after payoffs.

physical manipulation — Hands-on operation of gaming equipment in venue

Operate gaming equipment.
#23137 · Core · 62% automatable

Answer patrons' questions about gaming machine functions and payouts.

interpersonal — Routine inquiries answerable; nuanced cases need human

Respond to customer inquiries.
#23138 · Core · 80% automatable

Record the specifics of malfunctioning machines and document malfunctions needing repair.

text generation — Prepare operational reports from data

Prepare operational reports or records.
#23147 · Core · 35% automatable

Monitor patrons for signs of compulsive gambling, offering assistance if necessary.

situated mobility — Requires live observation of patrons in physical space

Monitor patron activities to identify problems or potential problems.
#23152 · Core · 28% automatable

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

Distribute resources to patrons or employees.
#23139 · Core · 55% automatable

Report customer-related incidents occurring in gaming areas to supervisors.

interpersonal — Cross-staff problem resolution involves politics and trust

Communicate with management or other staff to resolve problems.
#23141 · Core · 55% automatable

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

Communicate with management or other staff to resolve problems.
#23142 · Core · 35% automatable

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

Enforce rules or regulations. Communicate with management or other staff to resolve problems.
#23143 · Core · 25% automatable

Exchange currency for customers, converting currency into requested combinations of bills and coins.

physical manipulation — Gaming transactions involve physical chips and live tables

Conduct gaming transactions.
#23146 · Core · 68% automatable

Evaluate workers' performance and prepare written performance evaluations.

text generation — Prepare operational reports from data

Evaluate employee performance. Prepare operational reports or records.
#23144 · Core · 30% automatable

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

Monitor operational quality or safety. Conduct amusement or gaming activities.
#23145 · Core · 5% automatable

Clean and maintain slot machines and surrounding areas.

physical manipulation — Physical cleaning of facilities and equipment

Clean facilities or equipment.
#23149 · Supplemental · 28% automatable

Monitor functioning of slot machine coin dispensers and fill coin hoppers when necessary.

decision support — AI flags quality/safety issues; human owns physical verification

Monitor operational quality or safety. Operate gaming equipment.
#23148 · Supplemental · 53% automatable

Record, issue receipts for, and pay off bets.

data analysis — Maintain financial records; human reconciles exceptions

Maintain financial or account records. Conduct gaming transactions.
#23150 · Supplemental · 68% automatable

Determine how many gaming tables to open each day and schedule staff accordingly.

decision support — Assignments drafted; accountability and negotiation human

Assign duties or work schedules to employees.
#23151 · Supplemental · 28% automatable

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

Supervise service workers.
#23154 · Supplemental · 62% automatable

Establish policies on types of gambling offered, odds, or extension of credit.

text generation — Service plans drafted; operational ownership human

Develop plans for programs or services.
#23153 · Supplemental · 45% automatable

Review operational expenses, budget estimates, betting accounts, or collection reports for accuracy.

data analysis — Budget management aided by AI, human owns decisions

Manage budgets for personal services operations.
#23155 · Core · 36% automatable

Interview and hire workers.

interpersonal — Live interview judgment and rapport; AI can only screen

Conduct eligibility or selection interviews. Hire personnel.
#23156 · Core · 49% automatable

Train, supervise, schedule, and evaluate workers.

decision support — Draft schedules; human owns fairness and coverage

Evaluate employee performance. Prepare employee work schedules. Train service staff. Supervise service workers.
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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 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. 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. 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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