Broadcast Technicians

Maintain programming logs as required by station management and the Federal Communications Commission.

AI: Fully automatable - Maintaining programming logs is a structured, compliance-driven task (including FCC requirements) that can be fully automated with logging software, metadata capture and AI transcription.

Regulate the fidelity, brightness, and contrast of video transmissions, using video console control panels.

AI: Fully automatable - Automated video processing, color correction and remote control of video consoles allow AI to regulate fidelity, brightness and contrast in real time for most broadcast workflows.

Select sources from which programming will be received or through which programming will be transmitted.

AI: Fully automatable - AI can select and switch technical sources automatically based on schedules, metadata and signal health, enabling full automation of the technical source-selection and routing task.

Monitor strength, clarity, and reliability of incoming and outgoing signals and adjust equipment as necessary to maintain quality broadcasts.

AI: Fully automatable - AI systems can continuously monitor signal metrics (SNR, BER, levels, error rates) and perform automated adjustments or remote/software-defined tuning to maintain signal clarity and reliability.

Monitor and log transmitter readings.

AI: Fully automatable - Telemetry collection and logging of transmitter readings is routine, rule-based work that monitoring software and AI can perform fully and reliably.

Play and record broadcast programs using automation systems.

AI: Fully automatable - Modern broadcast automation software and AI can fully manage playout and recording schedules and execute play/record operations without human intervention.

Control audio equipment to regulate the volume and sound quality during radio and television broadcasts.

AI: Fully automatable - AI can automatically control digital audio consoles, apply loudness normalization and automatic mixing in real time, enabling full automation of volume and sound-quality regulation for broadcasts.

Schedule programming or read television programming logs to determine which programs are to be recorded or aired.

AI: Fully automatable - AI systems can parse programming logs and apply scheduling rules to select recordings or airtime automatically.

Preview scheduled programs to ensure that signals are functioning and programs are ready for transmission.

AI: Fully automatable - Automated monitoring and preview systems can detect signal problems and verify program readiness without human intervention.

Substitute programs in cases where signals fail.

AI: Fully automatable - Automated failover and content substitution systems can detect signal loss and switch to replacement programs automatically.

Prepare reports outlining past and future programs, including content.

AI: Fully automatable - AI can aggregate logs and metadata to generate detailed past and future programming reports including content summaries.

Make commercial dubs.

AI: Fully automatable - By 2025 AI systems can perform translation, voice cloning, timing/lip-sync and mastering to create broadcast-quality commercial dubs end-to-end with minimal human intervention.

Develop employee work schedules.

AI: Fully automatable - Automated scheduling systems and optimization/constraint-solving AIs can generate and adapt employee work schedules reliably while accounting for availability, rules, and preferences.

Produce graphics for broadcasts.

AI: Fully automatable - Generative image and motion-graphics tools in 2025 can produce broadcast-ready graphics and templates with minimal human input for many common use cases.

Observe monitors and converse with station personnel to determine audio and video levels and to ascertain that programs are airing.

AI: Partial - AI can observe monitors (via CV) and communicate status to staff, but fully replacing human coordination and nuanced, real-time judgment about program content and social interactions is only partially automatable.

Report equipment problems, ensure that repairs are made, and make emergency repairs to equipment when necessary and possible.

AI: Partial - AI can detect faults, generate reports and coordinate or dispatch repairs, but cannot perform most physical emergency hardware repairs, so it can only partially automate the task.

Set up, operate, and maintain broadcast station computers and networks.

AI: Partial - AI can perform remote monitoring, configuration, and software maintenance automatically, but physical installation and hands‑on repairs still require humans.

Align antennae with receiving dishes to obtain the clearest signal for transmission of broadcasts from field locations.

AI: Partial - AI can compute optimal antenna/dish alignment and drive motorized actuators where available, but many alignments still require human physical action or specialized robotics, so automation is partial.

Record sound onto tape or film for radio or television, checking its quality and making adjustments where necessary.

AI: Partial - AI can manage digital recording and auto‑adjust levels, but actual tape/film handling and on‑site mic placement/physical adjustments require humans.

Instruct trainees in how to use television production equipment, how to film events, and how to copy and edit graphics or sound onto videotape.

AI: Partial - AI-driven training modules and guided simulations can teach many procedures, but hands‑on training and mentorship remain necessary for complex real‑world tasks.

Edit broadcast material electronically, using computers.

AI: Partial - AI tools can perform routine electronic editing (cuts, color correction, audio leveling) but still fall short of fully replacing human creative judgment for complex edits.

Give technical directions to other personnel during filming.

AI: Partial - AI can provide automated cues and suggested directions, but real‑time leadership, nuanced coordination, and on‑set decision making still require human technicians.

Design and modify equipment to employer specifications.

AI: Partial - AI can generate CAD models, propose modifications and simulate performance, but final engineering design, safety certification and fabrication decisions still need human engineers and hands-on validation.

Determine the number, type, and approximate location of microphones needed for best sound recording or transmission quality and position them appropriately.

AI: Partial - AI can analyze room acoustics and recommend microphone type, count and optimal placement, but physical positioning and on-site fine-tuning usually require human technicians.

Organize recording sessions and prepare areas, such as radio booths and television stations, for recording.

AI: Partial - AI can handle scheduling, checklists and logistical planning for recording sessions, but physical preparation of booths and equipment setup typically require humans.

Set up and operate portable field transmission equipment outside the studio.

AI: Partial - AI can control and configure some remotely accessible field transmission systems and provide setup instructions, but hands-on setup and troubleshooting in the field generally need human operators.

Discuss production requirements with clients.

AI: Partial - AI can conduct initial discovery, generate paperwork and even converse with clients, but nuanced negotiation, relationship-building and final approvals are still usually handled by humans.

Produce educational and training films and videotapes by performing activities, such as selecting equipment and preparing scripts.

AI: Partial - AI can write scripts, select equipment, create storyboards and edit footage, but full end-to-end production—especially on-location shooting and final creative/ethical decisions—requires human oversight and crews.

Install broadcast equipment, troubleshoot equipment problems, and perform maintenance or minor repairs, using hand tools.

AI: Not automatable - Installing equipment and using hand tools for repairs require physical manipulation and on‑site judgment that AI/robots generally cannot perform in 2025.