High AI Risk Slow Growth

Gambling dealers

SOC Code: 39-3011

Gambling dealers carries a 52% AI exposure score (High automation risk), with a median annual wage of $33,280 and -0.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 88,700 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
52% High

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

Projected Growth
-0.6%
2024–2034 (BLS)
-600 jobs
Median Annual Wage
$33,280
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

88,700
Employment 2024
88,100
Projected 2034
-0.6%
Change (%)
-600
Change (jobs)

Occupation Insight

Gambling dealers (SOC 39-3011) carries an AI exposure score of 52%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an 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 economic context matters alongside the risk score. BLS counted approximately 88,700 workers in this occupation in 2024, and projects a -0.6% change through 2034 — a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $33,280, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

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 Gambling dealers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Pay winnings or collect losing bets as established by the rules and procedures of a specific game.
  2. 2. Greet customers and make them feel welcome.
  3. 3. Exchange paper currency for playing chips or coin money.
  4. 4. Check to ensure that all players have placed bets before play begins.
  5. 5. Inspect cards and equipment to be used in games to ensure that they are in good condition.
  6. 6. Deal cards to house hands, and compare these with players' hands to determine winners, as in black jack.
  7. 7. Stand behind a gaming table and deal the appropriate number of cards to each player.
  8. 8. Apply rule variations to card games such as poker, in which players bet on the value of their hands.
  9. 9. Receive, verify, and record patrons' cash wagers.
  10. 10. Conduct gambling games, such as dice, roulette, cards, or keno, following all applicable rules and regulations.

Key Skills Required

  • Active Listening
  • Speaking
  • Social Perceptiveness
  • Service Orientation
  • Reading Comprehension
  • Monitoring
  • Coordination
  • Mathematics
  • Critical Thinking
  • Persuasion

Knowledge Areas

  • Customer and Personal Service
  • Mathematics
  • English Language
  • Administration and Management
  • Public Safety and Security
  • Law and Government
  • Sales and Marketing
  • Education and Training
  • Computers and Electronics
  • Psychology

Frequently Asked Questions

Will AI replace Gambling dealers?

Gambling dealers has an AI exposure score of 52%, 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 Gambling dealers?

According to BLS Employment Projections 2024-2034, Gambling dealers is projected to decline by 0.6% over the decade. Current employment stands at approximately 88,700 workers.

What skills are needed for Gambling dealers?

Key skills for Gambling dealers include Active Listening, Speaking, Social Perceptiveness, and others. Typical entry-level education is High school diploma or equivalent.

How much do Gambling dealers earn?

The median annual wage for Gambling dealers is $33,280, 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 Gambling dealers?

The typical entry-level education for Gambling dealers is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Gambling dealers?

Gambling dealers 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

2.6
out of 5.0

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

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).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial