Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Edit videotapes by erasing and removing portions of programs and adding video or sound as required. · 0.5%
Occupation · SOC 27-4011.00
Set up, maintain, and dismantle audio and video equipment, such as microphones, sound speakers, connecting wires and cables, sound and mixing boards, video cameras, video monitors and servers, and related electronic equipment for live or recorded events, such as concerts, meetings, conventions, presentations, podcasts, news conferences, and sporting events.
Also called: AV Tech (Audio Visual Technician) · Audio Visual Specialist (AV Specialist) · Media Technician · Operations Technician · Audio Technician · Stagehand · Video Technician · AV Installation Tech (Audiovisual Installation Technician) · AV Production Specialist (Audio Visual Production Specialist) · AV Specialist (Audiovisual Specialist) · AV Tech (Audiovisual Technician) · Audio Installer
Job family: Arts, Design, Entertainment, Sports, and Media Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-27-4011-00/context.md directly.
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.
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
54th-percentile task overlap — yet about 7,300 openings a year (+3.3% projected, BLS), and observed AI use leans 5161% copilot, not hand-off (AEI) . What exposure means →
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.
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 | 48th | -0.0 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 59th | 0.8 | |
| AI assistant applicability (Microsoft) Moderate | 59th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), 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.
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 0.6 · 49th percentile among occupations · Moderate
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.
| Determine formats, approaches, content, levels, and mediums to effectively meet objectives within budgetary constraints, using research, knowledge, and training. | 1.5% | |
| Produce rough and finished graphics and graphic designs. | 1.5% | |
| Develop manuals, texts, workbooks, or related materials for use in conjunction with production materials or for training. | 0.9% | |
| Diagnose and resolve media system problems. | 0.6% | |
| Install, adjust, and operate electronic equipment to record, edit, and transmit radio and television programs, motion pictures, video conferencing, or multimedia presentations. | 0.5% | |
| Edit videotapes by erasing and removing portions of programs and adding video or sound as required. | 0.4% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.3% by 2034 |
| Projected annual openings | 7,300 |
| Employment 2024 → 2034 | 92,300 → 95,400 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
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.
| 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.
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 | 51.6% working with AI · 37.5% handed to AI |
| Most common way people use AI here | Iteration · you and AI go back and forth |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 60.5% |
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 |
|---|---|---|
| Produce rough and finished graphics and graphic designs. | Iteration | 3.8% |
| Develop manuals, texts, workbooks, or related materials for use in conjunction with production materials or for training. | Iteration | 2.7% |
| Edit videotapes by erasing and removing portions of programs and adding video or sound as required. | Directive | 0.5% |
| Determine formats, approaches, content, levels, and mediums to effectively meet objectives within budgetary constraints, using research, knowledge, and training. | Iteration | 0.4% |
| Diagnose and resolve media system problems. | — | 0.3% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Determine formats, approaches, content, levels, and mediums to effectively meet objectives within budgetary constraints, using research, knowledge, and training. | 94.7% | |
| Develop manuals, texts, workbooks, or related materials for use in conjunction with production materials or for training. | 94.5% | |
| Edit videotapes by erasing and removing portions of programs and adding video or sound as required. | 84.3% | |
| Diagnose and resolve media system problems. | 83.9% | |
| Produce rough and finished graphics and graphic designs. | 72.1% |
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 produce rough and finished graphics and graphic designs. From: Produce rough and finished graphics and graphic designs. · 3.8% of measured AI use · task iteration
Help me develop manuals, texts, workbooks, or related materials for use in conjunction with production materials or for training. From: Develop manuals, texts, workbooks, or related materials for use in conjunction with production materials or for training. · 2.7% of measured AI use · task iteration
Help me edit videotapes by erasing and removing portions of programs and adding video or sound as required. From: Edit videotapes by erasing and removing portions of programs and adding video or sound as required. · 0.5% of measured AI use · directive
Help me determine formats, approaches, content, levels, and mediums to effectively meet objectives within budgetary constraints, using research, knowledge, and training. From: Determine formats, approaches, content, levels, and mediums to effectively meet objectives within budgetary constraints, using research, knowledge, and training. · 0.4% of measured AI use · task iteration
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.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Near Vision | 4.0 | |
| Oral Expression | 3.9 | |
| Oral Comprehension | 3.8 | |
| Problem Sensitivity | 3.8 | |
| Information Ordering | 3.8 | |
| Written Comprehension | 3.5 | |
| Written Expression | 3.5 | |
| Deductive Reasoning | 3.4 | |
| Inductive Reasoning | 3.3 | |
| Visual Color Discrimination | 3.3 | |
| Hearing Sensitivity | 3.3 | |
| Category Flexibility | 3.1 | |
| Flexibility of Closure | 3.1 | |
| Selective Attention | 3.1 | |
| Arm-Hand Steadiness | 3.1 | |
| Control Precision | 3.1 | |
| Far Vision | 3.1 | |
| Auditory Attention | 3.1 | |
| Speech Recognition | 3.1 | |
| Speech Clarity | 3.1 |
| Monitoring | 3.8 | |
| Reading Comprehension | 3.5 | |
| Critical Thinking | 3.5 | |
| Active Listening | 3.1 | |
| Writing | 3.1 | |
| Speaking | 3.1 | |
| Active Learning | 3.0 |
| Operations Monitoring | 3.5 | |
| Complex Problem Solving | 3.3 | |
| Coordination | 3.1 | |
| Service Orientation | 3.1 |
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 48.
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.
What to study: Agriculture, Agriculture Operations, and Related Sciences , Communications Technologies/Technicians and Support Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 42.7% | |
| High School Diploma | 25.1% | |
| Post-Secondary Certificate | 19.9% | |
| Associate's Degree (or other 2-year degree) | 11.2% | |
| Some College Courses | 1.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Mechanics/Electronics | 5.5 | |
| Media | 5.3 | |
| Music | 3.6 | |
| Information Technology | 3.4 | |
| Engineering | 3.4 | |
| Performing Arts | 3.0 | |
| Physical/Manual Labor | 2.8 | |
| Applied Arts and Design | 2.3 | |
| Visual Arts | 2.1 | |
| Athletics | 2.0 |
| Realistic | 5.2 | |
| Conventional | 4.6 | |
| Artistic | 3.2 | |
| Investigative | 2.7 |
| Dependability | 2.5 | |
| Attention to Detail | 2.4 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $35,290 |
| 25th percentile | $43,860 |
| Median (50th) | $54,830 |
| 75th percentile | $73,590 |
| 90th percentile | $98,190 |
| People employed | 70,080 |
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 | 14,570 | $56,150 |
| Real Estate and Rental and Leasing · Sector | 13,310 | $51,560 |
| Arts, Entertainment, and Recreation · Sector | 10,850 | $51,230 |
| Educational Services · Sector | 7,790 | $54,120 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 6,200 | $56,230 |
| Professional, Scientific, and Technical Services · Sector | 5,850 | $60,020 |
| Accommodation and Food Services · Sector | 2,380 | $64,270 |
| Temporary Help Services · National industry | 2,090 | $66,470 |
| Other Services (except Public Administration) · Sector | 1,950 | $44,630 |
| Construction · Sector | 1,450 | $47,140 |
| Electrical Contractors and Other Wiring Installation Contractors · National industry | 1,390 | $47,140 |
| Casino Hotels · National industry | 1,300 | $75,220 |
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 | 43.72× | 1,290 |
| Theater Companies and Dinner Theaters · National industry | 36.47× | 1,200 |
| Radio Broadcasting Stations · National industry | 19.12× | 450 |
| Real Estate and Rental and Leasing · Sector | 12.37× | 13,310 |
| Information · Sector | 11.02× | 14,570 |
| Arts, Entertainment, and Recreation · Sector | 9.03× | 10,850 |
| Casino Hotels · National industry | 8.49× | 1,300 |
| Electrical Contractors and Other Wiring Installation Contractors · National industry | 2.85× | 1,390 |
Part of the Arts, Entertainment, & Design career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Audio and Video Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 65th percentile of 427 international occupations.
Audio and Video Technicians show 54th-percentile AI task overlap — and about 7,300 annual U.S. openings
Audio and Video Technicians show 54th-percentile AI task overlap — and about 7,300 annual U.S. openings • Audio and Video Technicians rank in the 54th 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 7,300 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 about average (+3.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $54,830, across about 70,080 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 52% 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 — "Audio and Video Technicians". https://singulariki.com/roles/role-27-4011-00 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.
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.
Singulariki. "Audio and Video 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-27-4011-00
Singulariki. (2026). Audio and Video Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-4011-00
@misc{singulariki-role-27-4011-00,
title = {Audio and Video 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-27-4011-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.