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Broadcast Technicians

Occupation · SOC 27-4012.00

Set up, operate, and maintain the electronic equipment used to acquire, edit, and transmit audio and video for radio or television programs. Control and adjust incoming and outgoing broadcast signals to regulate sound volume, signal strength, and signal clarity. Operate satellite, microwave, or other transmitter equipment to broadcast radio or television programs.

Also called: Board Operator · Broadcast Engineer · Broadcast Technician · Control Operator · Audio Engineer · Broadcast Maintenance Engineer · Broadcast Operations Engineer · Production Engineer · Audio Operator · Broadcast Operations Technician · Color Technician · Control Engineer

Job family: Arts, Design, Entertainment, Sports, and Media Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-27-4012-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

Often handed to AI

Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.

  • Prepare reports outlining past and future programs, including content. · 0.5%
See how AI is used here →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Prepare reports outlining past and future programs, including content. · 93.6% need a human
See the boundary tasks →

51st-percentile task overlap — yet about 1,800 openings a year (-2.8% projected, BLS), and observed AI use leans 3617% copilot, not hand-off (AEI) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 51st 0.1
LLM task exposure, γ (OpenAI / Eloundou) Moderate 60th 0.8
AI assistant applicability (Microsoft) Moderate 46th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.5), and including AI-powered software (γ 0.8). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.7 · 60th percentile among occupations · Moderate

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Prepare reports outlining past and future programs, including content. 3.6%
Edit broadcast material electronically, using computers. 0.3%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -2.8% by 2034
Projected annual openings 1,800
Employment 2024 → 2034 24,800 → 24,200

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

35% mean task exposure (2025)
65th percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Broadcasting and Audio-visual Technicians · 3521 35% Minimal

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 36.2% working with AI · 53.2% handed to AI
Most common way people use AI here Directive · AI does it; you give the instruction
Typical AI autonomy 3.0 / 5 · higher = AI acts more independently
Used for work (vs. personal / coursework) 83.0%

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Prepare reports outlining past and future programs, including content. Directive 0.5%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Prepare reports outlining past and future programs, including content. 93.6%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me prepare reports outlining past and future programs, including content.

    From: Prepare reports outlining past and future programs, including content. · 0.5% of measured AI use · directive

Tasks

All 29 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Develop budgets.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Computers and Electronics 4.5
Telecommunications 4.2
Engineering and Technology 3.8
Communications and Media 3.5
English Language 3.5

Abilities

Near Vision 3.9
Oral Comprehension 3.6
Written Comprehension 3.6
Problem Sensitivity 3.6
Oral Expression 3.3
Written Expression 3.3
Deductive Reasoning 3.3
Information Ordering 3.3
Inductive Reasoning 3.1
Flexibility of Closure 3.1
Selective Attention 3.1
Visual Color Discrimination 3.1
Speech Recognition 3.1
Speech Clarity 3.1
Fluency of Ideas 3.0
Originality 3.0
Category Flexibility 3.0
Perceptual Speed 3.0
Visualization 3.0

Essential skills

Critical Thinking 3.8
Active Listening 3.6
Monitoring 3.5
Writing 3.3
Reading Comprehension 3.1
Speaking 3.1
Active Learning 3.1

Transferable skills

Operations Monitoring 3.5
Complex Problem Solving 3.3
Equipment Maintenance 3.1
Judgment and Decision Making 3.1
Time Management 3.1
Social Perceptiveness 3.0
Coordination 3.0
Operation and Control 3.0
Troubleshooting 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 47.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Adobe After Effects Video creation and editing software Hot technology
Adobe Illustrator Graphics or photo imaging software Hot technology
Adobe InDesign Desktop publishing software Hot technology
Adobe Photoshop Graphics or photo imaging software Hot technology
Autodesk AutoCAD Computer aided design CAD software Hot technology
Linux Operating system software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
UNIX Operating system software Hot technology
Adobe Audition Music or sound editing software
Adobe Premiere Pro Video creation and editing software
Apple Final Cut Pro Video creation and editing software
Avid Technology audio visual editing software Video creation and editing software
Character generator software Video creation and editing software
Cisco IOS Operating system software
Dassault Systemes CATIA Computer aided design CAD software
Email software Electronic mail software
Video decoder software Video creation and editing software
Video encoder software Video creation and editing software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

E-Mail 5.0
Indoors, Environmentally Controlled 5.0
Face-to-Face Discussions with Individuals and Within Teams 4.8
Telephone Conversations 4.6
Work With or Contribute to a Work Group or Team 4.5
Contact With Others 4.2
Impact of Decisions on Co-workers or Company Results 4.2
Importance of Being Exact or Accurate 4.2
Spend Time Sitting 4.1
Frequency of Decision Making 3.9
Time Pressure 3.9
Determine Tasks, Priorities and Goals 3.9
Freedom to Make Decisions 3.8
Work Outcomes and Results of Other Workers 3.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.5
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Written Letters and Memos 3.2
Consequence of Error 3.2
Importance of Repeating Same Tasks 3.1
Physical Proximity 3.0
Deal With External Customers or the Public in General 3.0
Coordinate or Lead Others in Accomplishing Work Activities 2.8
Level of Competition 2.7
Degree of Automation 2.7
Health and Safety of Other Workers 2.6
Dealing With Unpleasant, Angry, or Discourteous People 2.6
In an Enclosed Vehicle or Operate Enclosed Equipment 2.6
Outdoors, Exposed to All Weather Conditions 2.4
Spend Time Standing 2.4
Conflict Situations 2.4
Exposed to Cramped Work Space, Awkward Positions 2.3
Pace Determined by Speed of Equipment 2.2
Spend Time Making Repetitive Motions 2.2
Exposed to High Places 2.2
Indoors, Not Environmentally Controlled 2.0
Spend Time Walking or Running 2.0
Exposed to Hazardous Equipment 2.0
Public Speaking 2.0
Outdoors, Under Cover 2.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 1.9

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
Associate's degree · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Communications Technologies/Technicians and Support Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Associate's Degree (or other 2-year degree) 43.4%
Some College Courses 26.6%
High School Diploma 17.4%
Post-Secondary Certificate 10.2%
Bachelor's Degree 2.4%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Mechanics/Electronics 5.6
Media 4.7
Engineering 4.0
Information Technology 3.9
Physical/Manual Labor 2.0
Music 1.9

Career interests (Holland / RIASEC)

Conventional 5.1
Realistic 4.8
Investigative 3.0
Artistic 2.8
Enterprising 2.5
Social 2.1

Work styles

Dependability 2.6
Attention to Detail 2.5
Cautiousness 1.8
Integrity 1.7

Wages & employment

U.S. · annual wages (BLS OEWS)

$29k10th$37k25th$54kMedian$80k75th$115k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
25k202424k2034 (proj.)-2.8% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $29,190
25th percentile $36,900
Median (50th) $53,920
75th percentile $80,390
90th percentile $115,400
People employed 21,080

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Information · Sector 16,640 $49,840
Television Broadcasting Stations · National industry 4,830 $50,250
Radio Broadcasting Stations · National industry 3,850 $35,720
Arts, Entertainment, and Recreation · Sector 1,460 $66,470
Educational Services · Sector 1,270 $64,590
Professional, Scientific, and Technical Services · Sector 640 $45,660
Administrative and Support and Waste Management and Remediation Services · Sector 120 $77,020
Other Services (except Public Administration) · Sector 120 $51,900
Temporary Help Services · National industry 110 $77,020
Management of Companies and Enterprises · Sector 60 $75,720
Health Care and Social Assistance · Sector 50 $40,850
Theater Companies and Dinner Theaters · National industry 50 $75,670

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Television Broadcasting Stations · National industry 544.18× 4,830
Radio Broadcasting Stations · National industry 543.84× 3,850
Information · Sector 41.86× 16,640
Arts, Entertainment, and Recreation · Sector 4.04× 1,460
Educational Services · Sector 0.68× 1,270
Professional, Scientific, and Technical Services · Sector 0.43× 640
Temporary Help Services · National industry 0.3× 110
Other Services (except Public Administration) · Sector 0.2× 120

Part of the Arts, Entertainment, & Design career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Broadcast Technicians sits at the 51st percentile of AI task-overlap and the 38th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Broadcast Technicians Robotics Technicians Sound Engineering Technicians Lighting Technicians Power Distributors and Dispatchers Electrical and Electronic Engineering Technologists and Technicians Media Technical Directors/Managers Electronics Engineers, Except Computer AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Broadcast Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Broadcast Technicians show 51st-percentile AI task overlap — and about 1,800 annual U.S. openings

  • Broadcast Technicians rank in the 51st percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 1,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-2.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $53,920, across about 21,080 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 36% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Broadcast Technicians show 51st-percentile AI task overlap — and about 1,800 annual U.S. openings

• Broadcast Technicians rank in the 51st percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 1,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-2.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $53,920, across about 21,080 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 36% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "Broadcast Technicians". https://singulariki.com/roles/role-27-4012-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Broadcast Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-27-4012-00

APA

Singulariki. (2026). Broadcast Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-4012-00

BibTeX
@misc{singulariki-role-27-4012-00,
  title  = {Broadcast Technicians},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-27-4012-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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