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Singulariki

Camera Operators, Television, Video, and Film

Occupation · SOC 27-4031.00

Operate television, video, or film camera to record images or scenes for television, video, or film productions.

Also called: Camera Operator · Cameraman · Television News Photographer · Videographer · Master Control Operator (MCO) · News Videographer · Production Technician · Studio Camera Operator · Advanced Air Mobility Operator (AAM Operator) · Advanced Air Mobility Pilot (AAM Pilot) · Advanced Air Mobility Technician (AAM Technician) · Aerial Camera Operator

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

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-27-4031-00/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.

  • Design graphics for studio productions. · 0.4%
  • Write new scripts for broadcasts. · 0.3%
See how AI is used here →

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors. · 0.7%
  • Edit video for broadcast productions, including non-linear editing. · 0.5%
See collaboration patterns →

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.

  • Write new scripts for broadcasts. · 100.0% need a human
  • Edit video for broadcast productions, including non-linear editing. · 91.8% need a human
  • Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors. · 85.5% need a human
See the boundary tasks →

56th-percentile task overlap — yet about 2,900 openings a year (+1.2% projected, BLS), and observed AI use leans 4415% 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 37th -0.4
LLM task exposure, γ (OpenAI / Eloundou) Moderate 64th 0.8
AI assistant applicability (Microsoft) High 69th 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.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

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 0.6 · 51st 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.

Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors. 0.4%

Job outlook

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

Outlook About average · +1.2% by 2034
Projected annual openings 2,900
Employment 2024 → 2034 36,400 → 36,900

“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 44.1% working with AI · 39.4% handed to AI
Most common way people use AI here Iteration · you and AI go back and forth
Typical AI autonomy 3.5 / 5 · higher = AI acts more independently
Used for work (vs. personal / coursework) 51.1%

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
Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors. Iteration 0.7%
Edit video for broadcast productions, including non-linear editing. Iteration 0.5%
Design graphics for studio productions. Directive 0.4%
Write new scripts for broadcasts. Directive 0.3%

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.

Write new scripts for broadcasts. 100.0%
Edit video for broadcast productions, including non-linear editing. 91.8%
Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors. 85.5%
Design graphics for studio productions. 82.1%

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 compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors.

    From: Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors. · 0.7% of measured AI use · task iteration

  • Help me edit video for broadcast productions, including non-linear editing.

    From: Edit video for broadcast productions, including non-linear editing. · 0.5% of measured AI use · task iteration

  • Help me design graphics for studio productions.

    From: Design graphics for studio productions. · 0.4% of measured AI use · directive

  • Help me write new scripts for broadcasts.

    From: Write new scripts for broadcasts. · 0.3% of measured AI use · directive

Tasks

All 24 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.

  • Operate drones to capture aerial or unique angle footage for film, television, or video productions.

Work activities

Knowledge, skills & abilities

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

Knowledge

English Language 4.3
Computers and Electronics 4.0
Communications and Media 3.8
Telecommunications 3.8
Engineering and Technology 2.9

Essential skills

Active Listening 3.8
Reading Comprehension 3.3
Speaking 3.3
Critical Thinking 3.1
Monitoring 3.1
Writing 2.9
Active Learning 2.9

Abilities

Visualization 3.8
Near Vision 3.8
Far Vision 3.8
Oral Expression 3.6
Problem Sensitivity 3.6
Oral Comprehension 3.5
Speech Clarity 3.5
Visual Color Discrimination 3.4
Speech Recognition 3.4
Information Ordering 3.3
Flexibility of Closure 3.3
Selective Attention 3.3
Arm-Hand Steadiness 3.3
Control Precision 3.3
Fluency of Ideas 3.1
Originality 3.1
Deductive Reasoning 3.1
Inductive Reasoning 3.1
Manual Dexterity 3.1
Finger Dexterity 3.1
Category Flexibility 3.0
Time Sharing 3.0

Transferable skills

Coordination 3.3
Judgment and Decision Making 3.3
Social Perceptiveness 3.1
Time Management 3.1
Complex Problem Solving 3.0
Persuasion 2.9

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 46.

Tools & technology

Example Category
Adobe After Effects Video creation and editing software Hot technology In demand
Adobe Creative Cloud software Graphics or photo imaging software Hot technology In demand
Adobe Illustrator Graphics or photo imaging software Hot technology In demand
Adobe Photoshop Graphics or photo imaging software Hot technology In demand
TikTok Video creation and editing software Hot technology In demand
Adobe Acrobat Document management software Hot technology
Adobe InDesign Desktop publishing software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Adobe Premiere Pro Video creation and editing software In demand
Apple Final Cut Pro Video creation and editing software In demand
Video editing software Video creation and editing software In demand
Adobe Dreamweaver Web page creation and editing software
Apple Final Cut Studio Video creation and editing software
Avid Technology audio visual editing software Video creation and editing software
DaVinci Resolve Video creation and editing software
Email software Electronic mail software
Google Drive Cloud-based data access and sharing software
Litchi Analytical or scientific software
Pix4D Pix4Dcapture Analytical or scientific software
YouTube 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.

Face-to-Face Discussions with Individuals and Within Teams 5.0
E-Mail 4.8
Contact With Others 4.7
Work With or Contribute to a Work Group or Team 4.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.5
Importance of Being Exact or Accurate 4.4
Indoors, Environmentally Controlled 4.2
Time Pressure 3.9
Telephone Conversations 3.8
Physical Proximity 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Determine Tasks, Priorities and Goals 3.6
Impact of Decisions on Co-workers or Company Results 3.6
Deal With External Customers or the Public in General 3.5
Importance of Repeating Same Tasks 3.5
Freedom to Make Decisions 3.5
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.4
Consequence of Error 3.4
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.4
Work Outcomes and Results of Other Workers 3.3
Frequency of Decision Making 3.3
Spend Time Making Repetitive Motions 3.3
Outdoors, Exposed to All Weather Conditions 3.1
Spend Time Standing 3.1
In an Enclosed Vehicle or Operate Enclosed Equipment 3.1
Level of Competition 3.0
Conflict Situations 3.0
Dealing With Unpleasant, Angry, or Discourteous People 2.9
Spend Time Sitting 2.9
Exposed to Very Hot or Cold Temperatures 2.9
Written Letters and Memos 2.9
Health and Safety of Other Workers 2.8
Indoors, Not Environmentally Controlled 2.6
Exposed to Cramped Work Space, Awkward Positions 2.4
Spend Time Walking or Running 2.4
Outdoors, Under Cover 2.2
Exposed to Hazardous Equipment 2.1
Spend Time Bending or Twisting Your Body 2.1
Pace Determined by Speed of Equipment 2.0
Exposed to Contaminants 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
Bachelor'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 , Visual and Performing Arts . 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) 60.7%
High School Diploma 17.8%
Some College Courses 14.6%
Bachelor's Degree 6.9%

Interests & work styles

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

Interest areas

Media 6.6
Applied Arts and Design 5.2
Visual Arts 4.9
Performing Arts 3.5
Mechanics/Electronics 3.5
Marketing/Advertising 2.4
Engineering 2.3
Information Technology 2.3
Physical/Manual Labor 2.1

Career interests (Holland / RIASEC)

Artistic 5.0
Realistic 4.9
Conventional 3.6
Enterprising 2.3
Investigative 2.0

Work styles

Dependability 2.1
Attention to Detail 2.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$36k10th$48k25th$69kMedian$102k75th$131k90th
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.
36k202437k2034 (proj.)+1.2% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $36,240
25th percentile $48,060
Median (50th) $68,810
75th percentile $102,400
90th percentile $131,420
People employed 24,460

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 14,840 $78,650
Professional, Scientific, and Technical Services · Sector 3,580 $64,090
Television Broadcasting Stations · National industry 2,350 $59,060
Administrative and Support and Waste Management and Remediation Services · Sector 1,560 $102,550
Arts, Entertainment, and Recreation · Sector 1,250 $54,810
Temporary Help Services · National industry 960 $102,630
Educational Services · Sector 780 $50,300
Other Services (except Public Administration) · Sector 340 $60,000
Retail Trade · Sector 260 $54,130
Management of Companies and Enterprises · Sector 250 $65,980
Manufacturing · Sector 220 $68,270
Wholesale Trade · Sector 210 $61,840

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 228.18× 2,350
Information · Sector 32.17× 14,840
Radio Broadcasting Stations · National industry 24.35× 200
Newspaper Publishers · National industry 10.43× 150
Arts, Entertainment, and Recreation · Sector 2.98× 1,250
Temporary Help Services · National industry 2.28× 960
Professional, Scientific, and Technical Services · Sector 2.1× 3,580
Administrative and Support and Waste Management and Remediation Services · Sector 1.09× 1,560

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

Exposure quadrant: AI task-overlap percentile vs Median pay Camera Operators, Television, Video, and Film sits at the 56th percentile of AI task-overlap and the 59th 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 Camera Operators, Television, Video, and Film Motion Picture Projectionists Avionics Technicians Camera and Photographic Equipment Repairers Lighting Technicians Broadcast Technicians Media Technical Directors/Managers Remote Sensing Scientists and Technologists 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 Camera Operators, Television, Video, and Film — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 65th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Camera Operators, Television, Video, and Film show 56th-percentile AI task overlap — and about 2,900 annual U.S. openings

  • Camera Operators, Television, Video, and Film rank in the 56th 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 2,900 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 (+1.2%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $68,810, across about 24,460 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 44% 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
Camera Operators, Television, Video, and Film show 56th-percentile AI task overlap — and about 2,900 annual U.S. openings

• Camera Operators, Television, Video, and Film rank in the 56th 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 2,900 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 (+1.2%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $68,810, across about 24,460 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 44% 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 — "Camera Operators, Television, Video, and Film". https://singulariki.com/roles/role-27-4031-00
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. "Camera Operators, Television, Video, and Film." 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-27-4031-00

APA

Singulariki. (2026). Camera Operators, Television, Video, and Film. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-4031-00

BibTeX
@misc{singulariki-role-27-4031-00,
  title  = {Camera Operators, Television, Video, and Film},
  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-27-4031-00}
}

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

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