Medium AI Risk Slow Growth

Gambling surveillance officers and gambling investigators

SOC Code: 33-9031

Gambling surveillance officers and gambling investigators carries a 33% AI exposure score (Medium automation risk), with a median annual wage of $43,900 and +0.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 10,300 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
33% Medium

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

Projected Growth
+0.3%
2024–2034 (BLS)
+0 jobs
Median Annual Wage
$43,900
BLS May 2024
How wage figures are sourced →
The verdict

At 33% AI exposure, Gambling surveillance officers and gambling investigators sits 4 points below the 37.2% average across 832 U.S. occupations - more exposed than 41% of them. Most of its core tasks still require human judgment.

33%
AI exposure
41st
percentile
+0.3%
Job growth 2024–34
$43,900
Median wage

Where Gambling surveillance officers and gambling investigators 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 surveillance officers and gambling investigators 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 59% by AI exposure Higher AI exposure than 41% of all 832 occupations.

Gambling surveillance officers and gambling investigators has ai exposure of 33%. 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 surveillance officers and gambling investigators vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Gambling surveillance officers and gambling investigators is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk22.4%36.5%50.5%64.5%78.5%-8.5%-4.7%-1%2.7%6.5%AI exposure (%) →Projected growth (%) →Gambling surveillancSecurity guardsPoliceCorrectional officerFirefightersFirst-line supervisoLifeguardsDetectivesFirst-line supervisoCrossing guardsProtective service wFirst-line superviso

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

Employment Projections

10,300
Employment 2024
10,300
Projected 2034
+0.3%
Change (%)
+0
Change (jobs)

Occupation Insight

Gambling surveillance officers and gambling investigators (SOC 33-9031) carries an AI exposure score of 33%, placing it in the Medium 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 below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 10,300 workers in this occupation in 2024, and projects a +0.3% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $43,900, 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 Less than 5 years 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 surveillance officers and gambling investigators. 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
Less than 5 years
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures.
  2. 2. Observe casino or casino hotel operations for irregular activities, such as cheating or theft by employees or patrons, using audio and video equipment and one-way mirrors.
  3. 3. Report all violations and suspicious behaviors to supervisors, verbally or in writing.
  4. 4. Develop and maintain log of surveillance observations.
  5. 5. Inspect and monitor audio or video surveillance equipment to ensure it is working appropriately.
  6. 6. Review video surveillance footage.
  7. 7. Act as oversight or security agents for management or customers.
  8. 8. Supervise or train surveillance observers.

Key Skills Required

  • Monitoring
  • Critical Thinking
  • Speaking
  • Judgment and Decision Making
  • Reading Comprehension
  • Active Listening
  • Writing
  • Active Learning
  • Social Perceptiveness
  • Instructing

Knowledge Areas

  • English Language
  • Public Safety and Security
  • Computers and Electronics
  • Mathematics
  • Administrative
  • Education and Training
  • Customer and Personal Service
  • Administration and Management
  • Telecommunications
  • Psychology

Frequently Asked Questions

Will AI replace Gambling surveillance officers and gambling investigators?

Gambling surveillance officers and gambling investigators has an AI exposure score of 33%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Gambling surveillance officers and gambling investigators?

According to BLS Employment Projections 2024-2034, Gambling surveillance officers and gambling investigators is projected to grow by 0.3% over the decade. Current employment stands at approximately 10,300 workers.

What skills are needed for Gambling surveillance officers and gambling investigators?

Key skills for Gambling surveillance officers and gambling investigators include Monitoring, Critical Thinking, Speaking, and others. Typical entry-level education is High school diploma or equivalent.

How much do Gambling surveillance officers and gambling investigators earn?

The median annual wage for Gambling surveillance officers and gambling investigators is $43,900, 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 surveillance officers and gambling investigators?

The typical entry-level education for Gambling surveillance officers and gambling investigators is High school diploma or equivalent. Employers generally expect Less than 5 years of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Gambling surveillance officers and gambling investigators?

Gambling surveillance officers and gambling investigators 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

1.6
out of 5.0

Medium automation risk based on 8 analyzed tasks. Most tasks require human judgment and are resistant to automation.

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.