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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Camera Operators, Television, Video, and Film are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
A career as a camera operator in television, video, and film is labeled as "Somewhat Resilient" because AI is starting to change some of the workflows in this field, like using robotic cameras for certain shots. While AI can help with technical tasks such as stabilizing or color-correcting footage, the creative eye and decision-making of human operators remain crucial.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
A career as a camera operator in television, video, and film is labeled as "Somewhat Resilient" because AI is starting to change some of the workflows in this field, like using robotic cameras for certain shots. While AI can help with technical tasks such as stabilizing or color-correcting footage, the creative eye and decision-making of human operators remain crucial.
Read full analysisAnalysis of Current AI Resilience
Camera and Video Operator
Updated Quarterly • Last Update: 5/14/2026

If you love the idea of working behind a camera, here's some good news: AI is mostly showing up as a helpful assistant on set rather than a replacement for the people who frame the shots. At NAB Show 2026 — the broadcast industry's biggest event — Mark Roberts Motion Control unveiled LiveTrack AI, a computer-vision tool inside robotic camera systems that "enables robotic cameras to automatically maintain cinematic framing of moving subjects" [1] during complex moves. The same article notes the tech is designed to reduce operator workload across live sports, virtual production, and high-end cinema [1], not eliminate the operator.
The biggest automation push is actually in editing: Adobe and Blackmagic's DaVinci Resolve are integrating AI for color, audio, and timeline edits, with tools like Media Intelligence, Text-Based Editing, and Generative Extend [2] that speed up the tedious parts of post-production. In newsrooms, AI is "now far more embedded in the tools," handling transcription, speaker ID, and summarizing footage [3], tasks that used to fall on junior editors and assistants.

Adoption is happening fast in some areas and slowly in others. On the fast side, generative AI is "lowering barriers to content creation," letting small studios and creators "automate the production of short-form content" [4], so the economic incentive to use AI for routine clips is huge. Robotic PTZ cameras are also spreading because the 2026 NAB Show drew industry leaders specifically around how AI is redefining media [5], making the tech easy to buy off the shelf.
On the slower side, big-budget film crews still rely on human judgment — Deloitte points out that large studios are taking their time adopting generative AI for content creation while social media isn't hesitating [4], partly due to union, copyright, and creative-control concerns. Labor demand is steady too: the Bureau of Labor Statistics projects film and video editors and camera operators will grow 3% from 2024 to 2034, with about 6,400 openings each year [6]. The takeaway: skills like composition, storytelling, on-set problem-solving, and learning to collaborate with AI tools remain the things hiring managers most want — so technology "isn't out to replace us, it's compressing job roles and reshaping the way we work" [2].

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They capture scenes by operating cameras for movies, TV shows, and videos, making sure everything looks good on screen.
Median Wage
$68,810
Jobs (2024)
36,400
Growth (2024-34)
+1.2%
Annual Openings
2,900
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Use cameras in any of several different camera mounts, such as stationary, track-mounted, or crane-mounted.
Operate television or motion picture cameras to record scenes for television broadcasts, advertising, or motion pictures.
Design graphics for studio productions.
Assemble studio sets and select and arrange cameras, film stock, audio, or lighting equipment to be used during filming.
Observe sets or locations for potential problems and to determine filming and lighting requirements.
Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors.
Direct studio productions.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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