TV, video and audio servicers and repairers
TV, video and audio engineers install, service and repair domestic television, video and audio appliances.
Task Bundle Breakdown
How AI interacts with this occupation's task bundle
Task-by-Task Breakdown
Every task scored individually — sorted highest to lowest AI exposure
uses electronic testing equipment to diagnose faults and check voltages and resistance
AI tools can interpret readings from electronic testing equipment and cross-reference fault codes against component databases to suggest diagnoses, but the technician must physically operate the equipment and apply contextual judgment.
examines equipment and observes reception to determine nature of defect
AI-powered diagnostic apps can suggest likely fault causes based on symptoms described, but the physical observation of reception quality and equipment condition still requires a trained human on-site.
carries out service tasks such as cleaning and insulation testing according to schedule
AI can help schedule and log service tasks digitally, but the actual cleaning, insulation testing, and physical inspection must be carried out by a human technician.
installs, services and repairs aerials and satellite dishes
AI can assist with signal analysis software or suggest optimal dish alignment angles using location data, but physical installation and adjustment of aerials and satellite dishes requires hands-on work at height.
dismantles equipment and repairs or replaces faulty components or wiring
Physically dismantling equipment and replacing components requires manual dexterity and hands-on skill that current AI and robotics cannot replicate in a field service context.
re-assembles equipment, tests for correct functioning and makes any necessary further adjustments
Re-assembly and functional testing requires physical manipulation and real-time sensory judgment that AI cannot perform in the field.
ROI Calculator
TV, video and audio servicers and repairers
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How is this calculated?▾
Task weights — each task is weighted by its O*NET frequency rating. Where frequency data is absent, equal weighting is applied.
AI time reduction — tasks scored as "AI Automates" assume 80% time saving; "AI Assists" assumes 40%; "Human-Led" assumes 5%.
Salary equivalent — annual hours saved × (salary ÷ 1,800 working hours/year).
Value at risk — salary × share of role time in AI-automate or AI-assist tasks.
Figures are indicative estimates for planning purposes, not guarantees of productivity gain or job loss risk.