Assemblers (electrical and electronic products)

Assemblers put together electrical and electronic products - from circuit boards to appliances - usually on a production line in a factory. It is hands-on, practical work that suits people who are good with their hands, like to see a finished item, and don't mind repetitive, focused tasks.

Assemblers (electrical and electronic products)

6

Manufacturing & Production

AI IMPACT
AI CAN DO6%moving to51%
THE DOOR, NOWB
THE DOOR, 20 YRSD
STARTING PAYnot published
MOAT NOT YET CLASSIFIEDA real score, but the moat is not yet classified. No claim either way.
AI can do very little of this work today
Hands-on work, caring for people and dealing with the real world are among the hardest things to automate, and this job leans on them. We have not yet formally classified its moat, so we make no claim either way, but the exposure score speaks for itself.

How this job changes over time

Our best estimates, shown as ranges and grades, not exact predictions.

WHAT CHANGESNow5 yrs10 yrs20 yrs
Tasks AI can do6%21%36%51%
Number of jobs98-105%92-105%78-100%50-85%
How hard to get inB - achievableB - achievableC - hardD - very hard
Job securityWeakWeakWeakGone

Right now, AI can already do about 6% of the day-to-day work in this job, and by 20 years from now that could be around 51%. There are likely to be fewer of these jobs over time, very roughly 50-85% of the 2024 number, 20 years out. Getting your first job here is fairly easy today, and it looks set to get harder. We have not yet classified what structurally protects this job, so treat the security row as our general model for jobs at this exposure level.

What happens, and when

WITHIN 5 yrs
Weak

AI can already do about 21% of this job at this horizon, and the number of these roles is projected at roughly 92-105% of the 2024 total. Getting in is graded B - achievable, and job security here is rated Weak.

WITHIN 10 yrs
Weak

AI can already do about 36% of this job at this horizon, and the number of these roles is projected at roughly 78-100% of the 2024 total. Getting in is graded C - hard, and job security here is rated Weak.

WITHIN 20 yrs
Gone

AI can already do about 51% of this job at this horizon, and the number of these roles is projected at roughly 50-85% of the 2024 total. Getting in is graded D - very hard, and job security here is rated Gone.

The honest bottom line: There are likely to be fewer of these jobs over time, and the easy-to-automate version of the role is already shrinking. What lasts is the part AI still cannot do well: real judgement, trust, and skills built up across more than one area. Stay flexible, keep learning, and aim for the human end of the work.

How to aim for this career

1
Build skills AI cannot copy

When you start, AI will do most of the quick, routine work. So build the parts that stay human: good judgement, working well with people, and knowing one subject deeply.

2
Learn to work with AI tools

The people who do well will use these tools to get real results, not fear them. Start now: try AI tools on school projects and learn how to guide them to a good answer.

3
Aim for the deciding work

Aim for the part of a job where a person still decides what to make, checks the work, and owns the result. Keep your options open too, since the same skills suit nearby jobs that AI changes less.

A note on the security row: we have not yet classified what structurally protects this specific job, so the grades above use our general model for careers at this exposure level. The exposure score itself is a real, curated figure for this line of work.

Sources: exposure figures from Anthropic labour market research (2026), observed real-world AI usage by occupation. Job-security forecast from OpenAI, "The AI Jobs Transition Framework" (Richmond, 2026, OpenAI Economic Research), CC BY 4.0. Grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions.

Careermash

Careermash: navigate your career path with real data. Explore career profiles, salary benchmarks, AI impact forecasts, and the qualifications you need to get there.


AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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