Gambling cage workers
SOC Code: 43-3041
Gambling cage workers carries a 60% AI exposure score (High automation risk), with a median annual wage of $36,990 and -5.0% projected employment growth from 2024 to 2034 (BLS), affecting approximately 14,100 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 60% AI exposure, Gambling cage workers sits 23 points above the 37.2% average across 832 U.S. occupations - more exposed than 94% of them. Most of its core tasks still require human judgment.
Where Gambling cage workers sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Gambling cage workers has ai exposure of 60%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Gambling cage workers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Gambling cage workers is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Occupation Insight
Gambling cage workers (SOC 43-3041) carries an AI exposure score of 60%, 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 14,100 workers in this occupation in 2024, and projects a -5.0% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $36,990, 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 cage workers. 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
Top Tasks (O*NET)
- 1. Maintain confidentiality of customers' transactions.
- 2. Follow all gaming regulations.
- 3. Prepare bank deposits, balancing assigned funds as necessary.
- 4. Maintain cage security.
- 5. Cash checks and process credit card advances for patrons.
- 6. Supply currency, coins, chips, or gaming checks to other departments as needed.
- 7. Prepare reports, including assignment of company funds or recording of department revenues.
- 8. Convert gaming checks, coupons, tokens, or coins to currency for gaming patrons.
- 9. Record casino exchange transactions, using cash registers.
- 10. Count funds and reconcile daily summaries of transactions to balance books.
Key Skills Required
- Speaking
- Active Listening
- Mathematics
- Reading Comprehension
- Writing
- Critical Thinking
- Monitoring
- Social Perceptiveness
- Service Orientation
- Time Management
Knowledge Areas
- Customer and Personal Service
- Mathematics
- English Language
- Administration and Management
- Administrative
- Economics and Accounting
- Computers and Electronics
- Public Safety and Security
- Sales and Marketing
- Personnel and Human Resources
Frequently Asked Questions
Will AI replace Gambling cage workers?
Gambling cage workers has an AI exposure score of 60%, 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 cage workers?
According to BLS Employment Projections 2024-2034, Gambling cage workers is projected to decline by 5.0% over the decade. Current employment stands at approximately 14,100 workers.
What skills are needed for Gambling cage workers?
Key skills for Gambling cage workers include Speaking, Active Listening, Mathematics, and others. Typical entry-level education is High school diploma or equivalent.
How much do Gambling cage workers earn?
The median annual wage for Gambling cage workers is $36,990, 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 cage workers?
The typical entry-level education for Gambling cage workers 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 cage workers?
Gambling cage 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
High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.
Related Occupations
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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).