High AI Risk Average

First-line supervisors of gambling services workers

SOC Code: 39-1013

First-line supervisors of gambling services workers carries a 45% AI exposure score (High automation risk), with a median annual wage of $61,590 and +2.0% projected employment growth from 2024 to 2034 (BLS), affecting approximately 32,500 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
45% High
Above-average exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+2.0%
Typical growth
2024–2034 (BLS)
+600 jobs
Median Annual Wage
$61,590
Typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 45% AI exposure, First-line supervisors of gambling services workers sits 8 points above the 37.2% average across 832 U.S. occupations - more exposed than 81% of them. Most of its core tasks still require human judgment.

45%
AI exposure
Top 19%
most exposed
+2.0%
Job growth 2024–34
$61,590
Median wage
D

Career outlook score

40/100

First-line supervisors of gambling services workers, weighted across 3 of 3 tracked dimensions

Transparent derived index from BLS and O*NET data, not an official government rating. A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes. See the exact dimensions, weights, and formula.

  • Median wage C $61,590

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth D +2.0%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) F 45% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with First-line supervisors of gambling services workers in the High band.

Credential × growth standing

Open entry with non-declining BLS pace

First-line supervisors of gambling services workers keeps an HS / some college bar (333 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

Where First-line supervisors of gambling services workers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where First-line supervisors of gambling services workers sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

45% Higher than most higher than 81% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

First-line supervisors of gambling services workers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. First-line supervisors of gambling services workers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk17.6%25.5%33.5%41.5%49.5%-3.6%0.5%4.6%8.7%12.8%AI exposure (%) →Projected growth (%) →First-line supervisors of gambling services workers, AI exposure (%) →: 45% · Projected growth (%) →: 2%First-line supervisoChildcare workers, AI exposure (%) →: 32% · Projected growth (%) →: -2.9%Childcare workersHairdressers, hairstylists, and cosmetologists, AI exposure (%) →: 42% · Projected growth (%) →: 5.6%HairdressersAmusement and recreation attendants, AI exposure (%) →: 36% · Projected growth (%) →: 3.4%AmusementAnimal caretakers, AI exposure (%) →: 19% · Projected growth (%) →: 12.1%Animal caretakersExercise trainers and group fitness instructors, AI exposure (%) →: 25% · Projected growth (%) →: 11.9%Exercise trainersRecreation workers, AI exposure (%) →: 32% · Projected growth (%) →: 4.1%Recreation workersManicurists and pedicurists, AI exposure (%) →: 35% · Projected growth (%) →: 7%ManicuristsFirst-line supervisors of personal service workers, AI exposure (%) →: 33% · Projected growth (%) →: 6.7%First-line supervisoFirst-line supervisors of entertainment and recreation workers, except gambling services, AI exposure (%) →: 38% · Projected growth (%) →: 6.3%First-line supervisoUshers, lobby attendants, and ticket takers, AI exposure (%) →: 48% · Projected growth (%) →: 1.2%UshersSkincare specialists, AI exposure (%) →: 38% · Projected growth (%) →: 6.7%Skincare specialists

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

32,500
Employment 2024
33,100
Projected 2034
+2.0%
Change (%)
+600
Change (jobs)

Where This Score Comes From

First-line supervisors of gambling services workers's High automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 39-1013) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets First-line supervisors of gambling services workers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes First-line supervisors of gambling services workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
Less than 5 years
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. 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.
  2. 2. Observe gamblers' behavior for signs of cheating, such as marking, switching, or counting cards, and notify security staff of suspected cheating.
  3. 3. Perform paperwork required for monetary transactions.
  4. 4. Respond to and resolve patrons' complaints.
  5. 5. Greet customers and ask about the quality of service they are receiving.
  6. 6. Perform minor repairs or make adjustments to slot machines, resolving problems such as machine tilts and coin jams.
  7. 7. Maintain familiarity with the games at a facility and with strategies or tricks used by cheaters at such games.
  8. 8. Monitor payment of hand-delivered jackpots to ensure promptness.
  9. 9. Explain and interpret house rules, such as game rules or betting limits, for patrons.
  10. 10. Establish and maintain banks and table limits for each game.

Key Skills Required

  • Monitoring
  • Service Orientation
  • Active Listening
  • Speaking
  • Reading Comprehension
  • Critical Thinking
  • Social Perceptiveness
  • Time Management
  • Writing
  • Coordination

Knowledge Areas

  • Customer and Personal Service
  • Mathematics
  • English Language
  • Administration and Management
  • Computers and Electronics
  • Education and Training
  • Economics and Accounting
  • Public Safety and Security
  • Sales and Marketing
  • Personnel and Human Resources

Frequently Asked Questions

Will AI replace First-line supervisors of gambling services workers?

First-line supervisors of gambling services workers has an AI exposure score of 45%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for First-line supervisors of gambling services workers?

According to BLS Employment Projections 2024-2034, First-line supervisors of gambling services workers is projected to grow by 2.0% over the decade. Current employment stands at approximately 32,500 workers.

What skills are needed for First-line supervisors of gambling services workers?

Key skills for First-line supervisors of gambling services workers include Monitoring, Service Orientation, Active Listening, and others. Typical entry-level education is High school diploma or equivalent.

How much do First-line supervisors of gambling services workers earn?

The median annual wage for First-line supervisors of gambling services workers is $61,590, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for First-line supervisors of gambling services workers?

The typical entry-level education for First-line supervisors of gambling services workers is High school diploma or equivalent. Employers generally expect Less than 5 years of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ First-line supervisors of gambling services workers?

First-line supervisors of gambling services workers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

2.3
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for First-line supervisors of gambling services workers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (45% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+2.0% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use First-line supervisors of gambling services workers' numbers above to compare, not just read in isolation.

These AI exposure scores estimate automatability from O*NET data (not a certainty of job loss), and BLS growth figures remain estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.