Why the soldering iron still needs a hand
Electrical and electronic equipment assemblers build, wire and repair circuit boards, motors, sensors, switchgear and finished units. The work is small, physical and changeable. A person positions and aligns parts, then solders, crimps or bolts them in place, and adjusts or trims a component that does not quite seat. That is hard to hand to software, because the hard part is not deciding what to do. It is doing it, by hand, on a part the size of a grain of rice.
Product mix is the other brake. Our robotics read puts this job in the fixed automation tier, where machines are built around one product and one layout. Fixed lines pay off on long runs of identical units. Short runs, prototypes, custom wire harnesses and rework do not fit that model. When a board comes back with a lifted pad or a cold joint, someone has to look at it, work out what failed, and repair the unit without wrecking the parts around it.
Scale matters too. About 246,970 people held this job in the United States, with median pay near $45,850 (BLS), and BLS projections for 2025 to 2035 point to modest growth of around 5%. Those are not the numbers of a job disappearing. They are the numbers of a job where some content shifts to machines while hands stay busy. You can see where it sits against every other occupation in our job rankings.
What machines do, what they assist with, and what stays manual
The most automatable pieces are the repeatable ones: logging completed units against a work order, completing production reports, and the first pass of visual defect checks that optical inspection systems already run on boards. Of the task time AI touches on this job, 7% falls in the group software can handle outright.
Assistance looks different. Reading blueprints, wiring diagrams and assembly instructions is faster with a system that pulls the right revision, the right part number and the right torque or temperature setting. Writing up a rework note or a scrap reason also gets help. Of the exposed task time, 6% sits in that assist group, where the tool speeds a person up rather than standing in for them.
Everything else stays with people: placing and aligning components, hand soldering and desoldering, adjusting and trimming parts to fit, cleaning assemblies, and repairing faulty units. Across the whole job, 87% of task time still needs a person. That share is what the headline answer rests on, and the coverage method explains how the task time is split.
What the evidence does and does not show
There is no published head-to-head test of an AI system against trained electronics assemblers on their own work. Our evidence grade for this job is D, which means the quality question has not been measured here, so we publish no parity number for it. Machine vision inspection and pick-and-place machines are long-established factory equipment, but their performance is reported per line and per product, not as a like-for-like comparison with a person doing the full job.
What would settle it is a measured trial on a mixed-model line: the same boards and harnesses, the same defect standards, machines on one side and experienced assemblers on the other, with first-pass yield, rework hours and scrap all recorded. Until something like that is published, treat claims about machine superiority on this work as untested. Our quality parity method sets out what counts as a usable test.
When the picture could change
Most likely after 2046 (8 in 10 of our scenarios). Two things could pull that forward. Cheaper, reconfigurable robot cells with decent vision would let a plant automate short runs instead of only long ones, and most of this job’s exposure is physical rather than clerical. New domestic electronics plants built around automation from day one would also shift the mix, because retrofitting an old line is the expensive part.
Two things push the other way. Retooling a fixed line costs far more up front than adding an hourly worker, so plants with changing product mixes keep the flexible option. And fine manipulation of flexible things, such as wires, ribbon cables and connectors, is still a weak spot for robots compared with a hand that can feel a part click home. The replacement-year method explains how the range is built, and our guide to humanoid robots in physical jobs covers what the hardware can and cannot do yet.
How to stay needed on the line
Lean into the work machines leave behind. Repair and rework on faulty units is the clearest one: diagnosing a bad joint or a damaged trace and fixing it without a replacement board. Second, hand assembly of low-volume and custom builds, including harnesses and prototypes. Third, the judgment calls in inspection, where you decide whether a borderline unit ships, gets reworked or gets scrapped.
Two skills raise your floor. Learn to set up, load and troubleshoot the automated equipment on your own line, including vision inspection and placement machines. And get comfortable reading and interpreting process data, so you can say why yields dropped on a shift rather than only that they did.
What to do: ask your supervisor which products on your line are scheduled for automation and which stay manual, then move your hours toward the manual and rework side.
Nearby work is worth a look. Electromechanical Equipment Assemblers covers heavier mechanical builds, Coil Winders, Tapers, and Finishers shares much of the fine handwork, and Team Assemblers sits on broader production lines. You can put any two side by side with our job comparison tool, see the wider assemblers and fabricators family and the manufacturing sector page, or check which roles appear on our list of jobs expected to shrink. How all three questions are scored is set out in the methodology.