Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They capture scenes by operating cameras for movies, TV shows, and videos, making sure everything looks good on screen.
Summary
The career of camera operators in television, video, and film is labeled as "Evolving" because AI is beginning to assist with routine tasks like tracking subjects and editing footage, making these workflows faster and more efficient. However, the key creative decisions, such as framing and lighting, still rely heavily on human skills.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
The career of camera operators in television, video, and film is labeled as "Evolving" because AI is beginning to assist with routine tasks like tracking subjects and editing footage, making these workflows faster and more efficient. However, the key creative decisions, such as framing and lighting, still rely heavily on human skills.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Camera and Video Operator
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Some camera work is already partly automated. For example, researchers have built AI-powered camera robots that automatically track a person and keep them centered in the shot [1]. In live sports, small pan-tilt-zoom (PTZ) cameras can follow players by themselves using video analysis [2].
These tools help with adjusting focus and movement, but usually as an assistant—the most creative decisions on framing and lighting still come from people. AI also helps in editing: newsrooms now use automated tools to transcribe, translate, and tag footage [3], and IBM’s Watson AI once cut a 90-minute film into a 6-minute trailer by picking key scenes [4]. These examples show AI can handle routine chopping of clips, but editors still choose final cuts and stories.
Other tasks like setting up studio lights, building sets, or repairing gear have no mainstream AI solution yet; they rely on human skill. In short, AI is beginning to augment camera operators by taking on repetitive or technical chores, making some workflows faster [1] [2], while core creative and hands-on tasks remain with people.

AI Adoption
Whether studios adopt these tools quickly depends on cost, need, and trust. Large broadcasters and sports networks invest in AI to save time and money [3] [2]. For instance, Reuters says its new AI toolset lets newsrooms work faster without huge new investments [3].
Similarly, robotic cameras became more common during COVID restrictions to keep crews small [2]. These advantages encourage use of AI. But adoption is slower if budgets or skills don’t match.
High-end robotic systems can be expensive and require experts to run them, which makes small local stations cautious [2]. Unions and directors also value human creativity and worry about preserving quality. In general, people accept AI when it helps without harming the story, so media are moving carefully.
Over time, AI may become a routine helper – for example, reducing “labor and time burden” on camera crews [1] – but it won’t replace the creative heart of filmmaking.

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
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
Confer with directors, sound and lighting technicians, electricians, and other crew members to discuss assignments and determine filming sequences, desired effects, camera movements, and lighting requ...
Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors.
Use cameras in any of several different camera mounts, such as stationary, track-mounted, or crane-mounted.
Set up and perform live shots for broadcast.
Assemble studio sets and select and arrange cameras, film stock, audio, or lighting equipment to be used during filming.
Test, clean, maintain, and repair broadcast equipment, including testing microphones, to ensure proper working condition.
Instruct camera operators regarding camera setups, angles, distances, movement, and variables and cues for starting and stopping filming.
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.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web