High AI Risk Slow Growth

Ushers, lobby attendants, and ticket takers

SOC Code: 39-3031

Ushers, lobby attendants, and ticket takers carries a 48% AI exposure score (High automation risk), with a median annual wage of $31,150 and +1.2% projected employment growth from 2024 to 2034 (BLS), affecting approximately 121,700 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
48% High
Above-average exposure

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

Projected Growth
+1.2%
Typical growth
2024–2034 (BLS)
+1,400 jobs
Median Annual Wage
$31,150
Bottom 10% pay
BLS May 2024
How wage figures are sourced →
The verdict

At 48% AI exposure, Ushers, lobby attendants, and ticket takers 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
+1.2%
Job growth 2024–34
$31,150
Median wage
F

Career outlook score

18/100

Ushers, lobby attendants, and ticket takers, 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 $31,150

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth F +1.2%

    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

Employment vs AI 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).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

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 Ushers, lobby attendants, and ticket takers in the High band.

Credential × growth standing

Open entry with non-declining BLS pace

Ushers, lobby attendants, and ticket takers keeps an No credential bar (109 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 Ushers, lobby attendants, and ticket takers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Ushers, lobby attendants, and ticket takers 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.

Ushers, lobby attendants, and ticket takers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Ushers, lobby attendants, and ticket takers 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%-3.6%0.5%4.6%8.7%12.8%AI exposure (%) →Projected growth (%) →Childcare workers, AI exposure (%) →: 32% · Projected growth (%) →: -2.9%Childcare workersHairdressers, AI exposure (%) →: 42% · Projected growth (%) →: 5.6%HairdressersAmusement, AI exposure (%) →: 36% · Projected growth (%) →: 3.4%AmusementAnimal caretakers, AI exposure (%) →: 19% · Projected growth (%) →: 12.1%Animal caretakersExercise trainers, AI exposure (%) →: 25% · Projected growth (%) →: 11.9%Exercise trainersRecreation workers, AI exposure (%) →: 32% · Projected growth (%) →: 4.1%Recreation workersManicurists, AI exposure (%) →: 35% · Projected growth (%) →: 7%ManicuristsFirst-line superviso, AI exposure (%) →: 33% · Projected growth (%) →: 6.7%First-line supervisoFirst-line superviso, AI exposure (%) →: 38% · Projected growth (%) →: 6.3%First-line supervisoUshers, AI exposure (%) →: 48% · Projected growth (%) →: 1.2%UshersSkincare specialists, AI exposure (%) →: 38% · Projected growth (%) →: 6.7%Skincare specialists

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

Employment Projections

121,700
Employment 2024
123,100
Projected 2034
+1.2%
Change (%)
+1,400
Change (jobs)

Where This Score Comes From

Ushers, lobby attendants, and ticket takers'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 39-3031) 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 Ushers, lobby attendants, and ticket takers 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 Ushers, lobby attendants, and ticket takers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
No formal educational credential
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Greet patrons attending entertainment events.
  2. 2. Operate refreshment stands during intermission or obtain refreshments for press box patrons during performances.
  3. 3. Count and record number of tickets collected.
  4. 4. Lead tours and answer visitors' questions about the exhibits.
  5. 5. Sell or collect admission tickets, passes, or facility memberships from patrons at entertainment events.
  6. 6. Clean facilities.
  7. 7. Settle seating disputes or help solve other customer concerns.
  8. 8. Manage inventory or sale of artist merchandise.
  9. 9. Examine tickets or passes to verify authenticity, using criteria such as color or date issued.
  10. 10. Provide assistance with patrons' special needs, such as helping those with wheelchairs.

Key Skills Required

  • Social Perceptiveness
  • Speaking
  • Service Orientation
  • Active Listening
  • Coordination
  • Persuasion
  • Negotiation
  • Reading Comprehension
  • Critical Thinking
  • Monitoring

Knowledge Areas

  • Customer and Personal Service
  • English Language
  • Public Safety and Security
  • Communications and Media
  • Sales and Marketing
  • Administration and Management
  • Computers and Electronics
  • Education and Training
  • Economics and Accounting
  • Mathematics

Frequently Asked Questions

Will AI replace Ushers, lobby attendants, and ticket takers?

Ushers, lobby attendants, and ticket takers 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 Ushers, lobby attendants, and ticket takers?

According to BLS Employment Projections 2024-2034, Ushers, lobby attendants, and ticket takers is projected to grow by 1.2% over the decade. Current employment stands at approximately 121,700 workers.

What skills are needed for Ushers, lobby attendants, and ticket takers?

Key skills for Ushers, lobby attendants, and ticket takers include Social Perceptiveness, Speaking, Service Orientation, and others. Typical entry-level education is No formal educational credential.

How much do Ushers, lobby attendants, and ticket takers earn?

The median annual wage for Ushers, lobby attendants, and ticket takers is $31,150, 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 Ushers, lobby attendants, and ticket takers?

The typical entry-level education for Ushers, lobby attendants, and ticket takers is No formal educational credential. 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 Ushers, lobby attendants, and ticket takers?

Ushers, lobby attendants, and ticket takers 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.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Ushers, lobby attendants, and ticket takers: 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).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+1.2% here).

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.

What to do with this

Use Ushers, lobby attendants, and ticket takers' numbers above to compare, not just read in isolation.

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).

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.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.