Gambling and sports book writers and runners
SOC Code: 39-3012
Gambling and sports book writers and runners carries a 48% AI exposure score (High automation risk), with a median annual wage of $30,460 and -6.1% projected employment growth from 2024 to 2034 (BLS), affecting approximately 8,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 48% AI exposure, Gambling and sports book writers and runners sits 11 points above the 37.2% average across 832 U.S. occupations - more exposed than 85% of them. Most of its core tasks still require human judgment.
Career outlook score
8/100
Gambling and sports book writers and runners, 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 $30,460
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -6.1%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) F 48% 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 and sports book writers and runners in the High band.
Credential × growth standing
Open entry on a declining BLS line
Typical entry is HS / some college (333/832) while growth is Declining (111/832). This is the crowded high-risk corner of the map - automation and headcount pressure compound without a degree moat.
Where Gambling and sports book writers and runners 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 and sports book writers and runners sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
48% Higher than most higher than 85% 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 and sports book writers and runners vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Gambling and sports book writers and runners 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 and sports book writers and runners'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 39-3012) 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 and sports book writers and runners 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 and sports book writers and runners. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed.
- 2. Operate games in which players bet that a ball will come to rest in a particular slot on a rotating wheel, performing actions such as spinning the wheel and releasing the ball.
- 3. Exchange paper currency for playing chips or coins.
- 4. Compare the house hand with players' hands to determine the winner.
- 5. Open or close cash floats or game tables.
- 6. Pay off or move bets as established by game rules and procedures.
- 7. Collect bets in the form of cash or chips, verifying and recording amounts.
- 8. Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors.
- 9. Check to ensure that all players have placed their bets before play begins.
- 10. Collect cards or tickets from players.
Key Skills Required
- Active Listening
- Speaking
- Monitoring
- Mathematics
- Social Perceptiveness
- Coordination
- Writing
- Critical Thinking
- Service Orientation
- Reading Comprehension
Knowledge Areas
- Customer and Personal Service
- Mathematics
- English Language
- Economics and Accounting
- Computers and Electronics
- Sales and Marketing
- Personnel and Human Resources
- Administration and Management
- Public Safety and Security
- Administrative
Frequently Asked Questions
Will AI replace Gambling and sports book writers and runners?
Gambling and sports book writers and runners has an AI exposure score of 48%, 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 and sports book writers and runners?
According to BLS Employment Projections 2024-2034, Gambling and sports book writers and runners is projected to decline by 6.1% over the decade. Current employment stands at approximately 8,200 workers.
What skills are needed for Gambling and sports book writers and runners?
Key skills for Gambling and sports book writers and runners include Active Listening, Speaking, Monitoring, and others. Typical entry-level education is High school diploma or equivalent.
How much do Gambling and sports book writers and runners earn?
The median annual wage for Gambling and sports book writers and runners is $30,460, 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 and sports book writers and runners?
The typical entry-level education for Gambling and sports book writers and runners 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 and sports book writers and runners?
Gambling and sports book writers and runners 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 moderate share of tasks may be augmented by AI tools.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Gambling and sports book writers and runners: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (48% here).
- Biological scientists, all other · AI exposure 48%
- Disc jockeys, except radio · AI exposure 48%
- Film and video editors · AI exposure 48%
- Graphic designers · AI exposure 48%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-6.1% here).
- Chemical plant and system operators · growth -6.1%
- Computer programmers · growth -6.0%
- Transportation security screeners · growth -6.0%
- Credit authorizers, checkers, and clerks · growth -6.2%
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
What to do with this
Use Gambling and sports book writers and runners' numbers above to compare, not just read in isolation.
- Compare Gambling and sports book writers and runners 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).