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.
Career outlook score
10/100
Gambling cage workers, weighted across 3 of 3 tracked dimensions
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.
- Median wage F $36,990
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -5.0%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) F 60% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not 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).
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 Gambling cage workers in the High band.
Credential × growth standing
Open entry with non-declining BLS pace
Gambling cage workers keeps an HS / some college bar (333 of 832) and sits in Slow growth (245 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.
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.
Where Gambling cage workers sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
60% Higher than most higher than 94% 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.
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
Where This Score Comes From
Gambling cage 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 43-3041) 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 Gambling cage 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 Gambling cage workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
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.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Gambling cage 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 (60% here).
- Cargo and freight agents · AI exposure 60%
- Credit authorizers, checkers, and clerks · AI exposure 60%
- Data entry keyers · AI exposure 60%
- Eligibility interviewers, government programs · AI exposure 60%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-5.0% here).
- Farmworkers, farm, ranch, and aquacultural animals · growth -5.0%
- First-line supervisors of retail sales workers · growth -5.0%
- Claims adjusters, examiners, and investigators · growth -5.1%
- Medical transcriptionists · growth -4.9%
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.
Related Occupations
Showing 6 of 24 occupations with a comparable automation-risk profile.
What to do with this
Use Gambling cage workers' numbers above to compare, not just read in isolation.
- Compare Gambling cage workers side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are 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).