Why this work stays in the room
Will AI replace audiovisual equipment installers? Not on the evidence we can see. The job is mostly physical and site-specific. Someone has to pull cable above a ceiling grid, mount a display on a wall that is never quite flat, terminate connectors, and then make the system work in a room with its own echo, light and wiring quirks.
Software can plan a layout. It cannot find the loose HDMI termination behind a lectern at 7 a.m. before a board meeting. Fault-finding in AV is hands-and-eyes work: swap the cable, reseat the card, check the switcher, listen to the room. Each building is a one-off, and the drawings are often wrong.
The customer side matters too. Installers walk clients through how to start a meeting, hand over the control panel and come back when something changes. That mix of trade skill, judgment and face time is why the Still needs a human score for this job lands at 78 out of 100 (higher is safer). You can see how that headline figure is built on our scoring methodology.
The market context is steady rather than shrinking. About 19,780 people hold this job in the US, with median pay near $52,600 a year, and employment is projected to grow 4.8% between 2025 and 2035 (BLS). Growth is modest, but it is growth.
What AI handles, what it assists, what it leaves alone
Start with the share AI can take without a person: 0% of task time. That slice is paperwork-shaped. Writing up service records and job notes, and turning a room survey into a draft equipment list or quote, are the kinds of tasks language models already do a passable job on.
A second slice, 27% of task time, is assisted rather than replaced. Programming control systems and writing device drivers go faster with code help. So does working through a manufacturer’s manual or error log when a projector throws an unfamiliar fault code. The technician still decides what to change, and still has to be there.
The rest, 73% of task time, stays with people. Running and dressing cable through walls, ceilings and racks sits here. So does mounting and aligning displays, speakers and projectors, and calibrating picture and sound to the actual room. Our Coverage measure, which asks how much task time AI can handle today, comes out at 18 on a 0 to 100 scale; the method is explained on the Coverage method page.
What has actually been tested
Not much, and that is the honest answer. Our evidence grade for this job is D, which means no study has yet put an AI system head to head against a qualified AV installer on this job’s real tasks. Because of that, we publish no parity number here. A grade of D is a gap in testing, not a verdict in either direction.
What would settle it is specific: a timed trial of a robot or AI system doing a full room install and commissioning, or a benchmark on live fault diagnosis across a set of real conference rooms, scored against licensed technicians. Until something like that exists, the honest reading is that the office-side tasks are being eroded while the install work is untouched.
The robotics picture explains part of the gap. Our robotics panel above places this job’s physical work in the dexterous humanoid tier: the machine would need hands, balance on a ladder and tool use, not a wheeled base. That hardware is not a product you can hire by the day. Our guide to humanoid robots and physical jobs covers where that technology stands.
When the picture could change
Most likely after 2045 (8 in 10 of our scenarios). What that window measures, and how we build it, is set out on the replacement year method page.
Two things could pull that window earlier. First, cheaper general-purpose robots with usable hands, since the cost gap shown in the panel above is currently enormous in people’s favor. Second, more pre-fabricated and self-configuring AV gear, where racks arrive built and devices commission themselves, shrinking the hours a technician spends on site.
Two things push it later. Buildings are hostile to machines: ladders, crawl spaces, dust, live power and other trades working in the same room. And liability sits with licensed people. Low-voltage permits, fire and life-safety interfaces and insurance all assume a named human signed off the work.
What to do: treat commissioning, troubleshooting and client handover as the core of your trade, and let AI take the quotes and the job notes.
How to stay needed in AV
Lean into the tasks that stay with people. Three are worth naming: on-site diagnosis of intermittent faults, room calibration for sound and image, and the structured handover where you train staff and document the system. Those are the jobs clients call back for, and they are the hardest to specify in software.
Two skills raise your floor. One is control-system programming, since you can now draft code with AI help and spend your time on testing and room logic. The other is networking: AV over IP, switch configuration and basic security put you in the conversation with IT, where the budgets are.
If you are weighing nearby trades, three sit close to this one: telecommunications equipment installers and repairers, security and fire alarm systems installers and audio and video technicians. You can put any two of them side by side on our job comparison tool, or browse the wider electrical and electronic equipment installer family.
Much of this work happens alongside other site trades, so the construction sector page is a useful second view. For a broader list of roles where hands-on work dominates, see the jobs least exposed to AI.