High AI Risk Declining

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.

AI Exposure Score
48% High

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

Projected Growth
-6.1%
2024–2034 (BLS)
-500 jobs
Median Annual Wage
$30,460
BLS May 2024
How wage figures are sourced →
The verdict

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.

48%
AI exposure
Top 15%
most exposed
-6.1%
Job growth 2024–34
$30,460
Median wage

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.

AI exposure distribution - Gambling and sports book writers and runners marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 15% by AI exposure Higher AI exposure than 85% of all 832 occupations.

Gambling and sports book writers and runners has ai exposure of 48%. 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 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.

Future-proofGrowing but exposedStable, lower-AIMost at risk17.6%25.5%33.5%41.5%49.5%-7.0%-2.0%3%8.0%13.0%AI exposure (%) →Projected growth (%) →GamblingChildcare workersHairdressersAmusementAnimal caretakersExercise trainersRecreation workersManicuristsFirst-line supervisoFirst-line supervisoUshersSkincare specialists

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

Employment Projections

8,200
Employment 2024
7,700
Projected 2034
-6.1%
Change (%)
-500
Change (jobs)

Occupation Insight

Gambling and sports book writers and runners (SOC 39-3012) carries an AI exposure score of 48%, 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 8,200 workers in this occupation in 2024, and projects a -6.1% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $30,460, 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 and sports book writers and runners. 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. Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed.
  2. 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. 3. Exchange paper currency for playing chips or coins.
  4. 4. Compare the house hand with players' hands to determine the winner.
  5. 5. Open or close cash floats or game tables.
  6. 6. Pay off or move bets as established by game rules and procedures.
  7. 7. Collect bets in the form of cash or chips, verifying and recording amounts.
  8. 8. Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors.
  9. 9. Check to ensure that all players have placed their bets before play begins.
  10. 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

2.4
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).

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

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.