--- NATIONAL WAGES ---
  total_employment : 19,590
  annual_median    : $73,620
  annual_pct10     : $39,120
  annual_pct25     : $49,790
  annual_pct75     : $103,820
  annual_pct90     : $134,270
  annual_mean      : $83,860
  hourly_median    : $35.39

--- GEOGRAPHIC DISPERSION ---
  highest_state    : California ($102,630)
  lowest_state     : Arkansas ($32,280)
  dispersion_ratio : 3.179x

--- TOP STATES BY WAGE (36 total) ---
  Information                              emp:   11,010  median: $  92,780
  Educational Services                     emp:    2,340  median: $  71,170
  Professional, Scientific, and Technical Services emp:    1,180  median: $  78,730
  Arts, Entertainment, and Recreation      emp:    1,180  median: $  56,330
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      980  median: $  76,350
  Other Services (except Public Administration) emp:      580  median: $  41,600
  Administrative and Support and Waste Management and Remediation Services emp:      530  median: $  56,970
  Management of Companies and Enterprises  emp:      430  median: $ 102,050
  Health Care and Social Assistance        emp:      300  median: $  83,940
  Manufacturing                            emp:      130  median: $  57,500

--- TOP INDUSTRIES BY EMPLOYMENT (14 total) ---
  Information                              emp:   11,010  median: $  92,780
  Educational Services                     emp:    2,340  median: $  71,170
  Professional, Scientific, and Technical Services emp:    1,180  median: $  78,730
  Arts, Entertainment, and Recreation      emp:    1,180  median: $  56,330
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      980  median: $  76,350
  Other Services (except Public Administration) emp:      580  median: $  41,600
  Administrative and Support and Waste Management and Remediation Services emp:      530  median: $  56,970
  Management of Companies and Enterprises  emp:      430  median: $ 102,050
  Health Care and Social Assistance        emp:      300  median: $  83,940
  Manufacturing                            emp:      130  median: $  57,500

exact_match_status : no_exact_match
matched_title      : N/A
match_score        : 0.0000
wikidata_qid       : N/A
word_count         : 0
wikipedia_url      : N/A
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T21:27:32.974517Z

--- SEMANTIC NEIGHBORS (5) ---

  Title: Communication Workers Union (United Kingdom) (similarity: 0.5581)
  URL: https://en.wikipedia.org/wiki/Communication_Workers_Union_(United_Kingdom)
  QID: Q5154122
  Extract: The Communication Workers Union (CWU) is the main trade union in the United Kingdom for people working for telephone, cable, digital subscriber line (DSL), postal delivery, and tech companies. It has 110,000 members in Royal Mail as well as more in many other communication companies.

  Title: Communication studies (similarity: 0.5079)
  URL: https://en.wikipedia.org/wiki/Communication_studies
  QID: Q11680831
  Extract: Communication studies is an academic discipline that deals with processes of human communication and behavior, patterns of communication in interpersonal relationships, social interactions and communication in different cultures. Communication is commonly defined as giving, receiving or exchanging i

  Title: Models of communication (similarity: 0.5231)
  URL: https://en.wikipedia.org/wiki/Models_of_communication
  QID: Q1416645
  Extract: Models of communication simplify or represent the process of communication. Most communication models try to describe both verbal and non-verbal communication and often understand it as an exchange of messages. Their function is to give a compact overview of the complex process of communication. Thi

  Title: Mass communication (similarity: 0.5333)
  URL: https://en.wikipedia.org/wiki/Mass_communication
  QID: Q853710
  Extract: Mass communication is the process of communicating and exchanging information through mass media to large population segments. It utilizes various forms of media as technology has made the dissemination of information more efficient. Primary examples of platforms utilized and examined include journa

  Title: Business communication (similarity: 0.4688)
  URL: https://en.wikipedia.org/wiki/Business_communication
  QID: Q4115749
  Extract: 


Business communication is communication that is intended to help a business achieve a fundamental goal, through information sharing between employees as well as people outside the company. It includes the process of creating, sharing, listening, and understanding messages between different groups

model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : low
confidence_notes     : Limited O*NET data available for this catch-all occupation category, requiring inference from job titles and industry distribution patterns rather than detailed task and skill profiles.
inferred_at          : 2026-06-03T18:25:10.751359+00:00
tokens_input         : 2,190
tokens_output        : 3,352
cost_usd             : $0.035237
wikipedia_used       : False
wikipedia_title      : None
wikipedia_note       : No exact Wikipedia match exists for this catch-all occupation category, with semantic neighbors focusing on communication studies and trade unions rather than specific job roles.

--- PROSE FIELDS ---

ROLE SUMMARY:
Media and Communication Workers, All Other encompasses diverse specialized roles in broadcasting, audio-visual production, and communication support that don't fit into other defined media occupations. These professionals work across radio, television, live events, and digital media platforms providing technical, coordination, and specialized communication services. The role represents a catch-all category for emerging and niche positions in the rapidly evolving media landscape.

DAY IN THE LIFE:
A typical day varies dramatically by specialization but may include coordinating audience participation for live broadcasts, managing audio-visual equipment setups, announcing train schedules or public address announcements, or managing script continuity for productions. Audience coordinators might recruit and organize studio audiences while ensuring smooth show flow. Audio-visual specialists set up and operate technical equipment for events or broadcasts. PA announcers deliver clear, timely information to the public in transportation hubs or sports venues. Script managers track revisions and ensure proper documentation throughout production processes.

WHO THRIVES:
Individuals who excel in this field typically possess strong communication skills and adaptability to work across various media formats and environments. They are detail-oriented professionals who can handle the fast-paced, deadline-driven nature of media work while maintaining accuracy under pressure. Successful workers often have a service-oriented mindset, especially those in public-facing roles like announcers, and demonstrate technical aptitude for audio-visual equipment. The diverse nature of these roles attracts people who prefer variety in their work and can quickly learn new technologies and procedures as the media industry evolves.

CAREER ENTRY:
Entry into these roles typically requires a high school diploma with additional training or education varying by specialization, though formal requirements are often flexible given the diverse nature of the occupation. Many positions value hands-on experience through internships, volunteer work at radio stations, or part-time work in media production. Some specializations like audio-visual work may benefit from technical training programs, while announcing positions often require clear speech and may value broadcasting coursework. The catch-all nature of this occupation means entry paths are highly variable depending on the specific role.

CAREER TRAJECTORY:
Career advancement often leads to more specialized media roles, supervisory positions, or movement into related fields like broadcast technicians, producers, or media managers. Experienced workers may develop expertise in specific areas and transition into dedicated roles such as sound engineering technicians, broadcast announcers, or production coordinators. Some professionals use these positions as stepping stones to on-air talent roles or move into media management and operations. The diverse experience gained can also open doors to corporate communications, event management, or freelance media consulting.

MARKET INTELLIGENCE:
The field employs 19,590 workers nationally with a median annual wage of $73,620 according to BLS OEWS May 2025, ranging from $39,120 to $134,270 for the 10th to 90th percentiles. Geographic wage variation is significant, with California offering the highest median wages at $102,630 compared to Arkansas at $32,280, reflecting a 3.18x ratio between highest and lowest-paying states. Employment is concentrated in Information industries (11,010 workers), followed by Educational Services (2,340) and Professional, Scientific, and Technical Services (1,180). The broad nature of this occupation category makes demand forecasting challenging, but growth likely mirrors overall trends in digital media expansion and live event recovery.

AUTOMATION OUTLOOK:
Automation risk varies significantly across the diverse roles within this occupation, with some positions like train announcing increasingly automated while others requiring human judgment and interpersonal skills remain protected. Technical coordination and audience management roles that require real-time problem-solving and human interaction face lower automation risk. However, routine announcing and some audio-visual setup tasks may see increased automation through voice synthesis and automated equipment management systems.

--- REASONED EDGES ---
  [skill_overlap] Broadcast Technicians (27-4012.00) — confidence:high
    reasoning: Both roles involve audio-visual equipment operation and technical support in broadcasting environments.
    data: Audio-Visual Specialist job title
    data: Information industry employment concentration
  [task_similarity] Radio and Television Announcers (27-3011.00) — confidence:high
    reasoning: PA Announcer and Train Announcer roles share core announcing and public communication functions.
    data: PA Announcer job title
    data: Train Announcer job title
  [career_pathway] Producers and Directors (27-2012.00) — confidence:medium
    reasoning: Script Manager and Continuity Manager roles provide production experience leading to producer positions.
    data: Script Manager job title
    data: Continuity Manager job title
  [task_similarity] Receptionists and Information Clerks (43-4171.00) — confidence:medium
    reasoning: Audience Coordinator role shares information management and customer service functions.
    data: Audience Coordinator job title
    data: Educational Services employment
  [transferable_skill] Sound Engineering Technicians (27-4014.00) — confidence:medium
    reasoning: Audio-Visual Specialist role develops technical skills applicable to sound engineering.
    data: Audio-Visual Specialist job title
    data: Information industry concentration

--- NORMALIZER SIGNALS ---
  match_keywords   : ['media worker', 'communication worker', 'audience coordinator', 'audio-visual specialist', 'pa announcer', 'script manager', 'continuity manager', 'stage technician']
  exclude_keywords : ['journalist', 'reporter', 'broadcaster', 'editor', 'producer']
  title_patterns   : ['*coordinator', '*specialist', '*manager', '*announcer', '*technician']
  common_variations: ['media communications worker', 'av specialist', 'public address announcer', 'audience coordinator', 'continuity specialist', 'script coordinator', 'media support worker', 'broadcast support']

total_terms    : 40
top_words      : ['communication', 'media', 'business', 'audio', 'visual', 'technical', 'verbal', 'mass', 'diverse', 'nature', 'many', 'models', 'production', 'equipment', 'announcing', 'management', 'digital', 'studies', 'human', 'interpersonal']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
communication              31  0.05263  wikipedia            wikipedia:84%  inference:16%
media                      16  0.02717  inference            inference:81%  wikipedia:19%
business                    8  0.01358  wikipedia            wikipedia:100%
audio                       6  0.01019  inference            inference:100%
visual                      6  0.01019  inference            inference:100%
technical                   6  0.01019  inference            inference:100%
verbal                      5  0.00849  wikipedia            wikipedia:100%
mass                        5  0.00849  wikipedia            wikipedia:100%
diverse                     5  0.00849  inference            inference:100%
nature                      5  0.00849  inference            inference:100%
many                        4  0.00679  wikipedia            wikipedia:75%  inference:25%
models                      4  0.00679  wikipedia            wikipedia:100%
production                  4  0.00679  inference            inference:100%
equipment                   4  0.00679  inference            inference:100%
announcing                  4  0.00679  inference            inference:100%
management                  4  0.00679  inference            inference:100%
digital                     3  0.00509  inference            inference:67%  wikipedia:33%
studies                     3  0.00509  wikipedia            wikipedia:67%  inference:33%
human                       3  0.00509  inference            inference:67%  wikipedia:33%
interpersonal               3  0.00509  wikipedia            wikipedia:67%  inference:33%
social                      3  0.00509  wikipedia            wikipedia:100%
interactions                3  0.00509  wikipedia            wikipedia:100%
messages                    3  0.00509  wikipedia            wikipedia:100%
face                        3  0.00509  wikipedia            wikipedia:67%  inference:33%
include                     3  0.00509  wikipedia            wikipedia:67%  inference:33%
message                     3  0.00509  wikipedia            wikipedia:100%
receiver                    3  0.00509  wikipedia            wikipedia:100%
specialized                 3  0.00509  inference            inference:100%
professionals               3  0.00509  inference            inference:100%
live                        3  0.00509  inference            inference:100%
services                    3  0.00509  inference            inference:100%
catch                       3  0.00509  inference            inference:100%
category                    3  0.00509  inference            inference:100%
audience                    3  0.00509  inference            inference:100%
public                      3  0.00509  inference            inference:100%
announcers                  3  0.00509  inference            inference:100%
automation                  3  0.00509  inference            inference:100%
union                       2  0.00340  wikipedia            wikipedia:100%
trade                       2  0.00340  wikipedia            wikipedia:50%  inference:50%
companies                   2  0.00340  wikipedia            wikipedia:100%