What Computer, Automated Teller, and Office Machine Repairers Actually Move Into

Occupation move map · Installation, Maintenance, and Repair

Most career-change advice for computer, automated teller, and office machine repairers is somebody's opinion. This page is not. It is built from 58,121 observed occupation changes in the U.S. Current Population Survey — real people, tracked from one job to the next, not survey respondents describing what they would like to do.

Of every 100 computer, automated teller, and office machine repairers who moved to a different occupation group, here is where they went.

Destination	Share of movers	Observations	Move type	Evidence
Computer Network Support Specialists	13.9%	75	lateral	Observed
Other Computer Occupations	2.4%	151	lateral	Observed
Computer Programmers	2.3%	30	lateral	Observed
Coin, Vending, and Amusement Machine Servicers and Repairers	6.8%	6	lateral	Thin evidence (fewer than 30)
First-Line Supervisors of Retail Sales Workers	3.2%	6	lateral	Thin evidence (fewer than 30)
Computer Network Architects	2.8%	5	lateral	Thin evidence (fewer than 30)
Computer Systems Analysts	2.5%	11	lateral	Thin evidence (fewer than 30)

The most common destination is computer network support specialists, at 13.9% of movers (75 observed transitions); the second is other computer occupations at 2.4% (151).

Seen at the group level, split estimated

Movers from computer, automated teller, and office machine repairers were observed entering the occupation groups these belong to, but the split to each specific occupation was not directly observed, so no share is shown.

Computer and Information Research Scientists — estimated, 0 direct observations

Occupations with a similar skill profile

Ranked by skill similarity from O*NET, not by observed moves. A place to look, not a measured path.

Who moves into computer, automated teller, and office machine repairers

The occupations whose movers most often arrive here, by observed transitions.

Other Computer Occupations — 81 observed moves (1.1% of that occupation's movers)

How to read these numbers honestly

These are shares conditional on moving — the denominator is people in this occupation who changed to a different occupation group, not everyone in it. Most people in any given period do not move at all, so this page tells you the direction of movement, not how likely you are to move.

The underlying occupation codes are re-derived from job descriptions at each interview, which manufactures some transitions that never happened. We control for that four ways: we work at coarse occupation groupings rather than fine codes, we down-weight occupation changes not corroborated by an employer or industry change, we prefer the dependent-coded monthly survey over the retrospective annual one, and we shrink thin cells toward a skill-similarity prior. The residual uncertainty is why every row carries its observation count.

A row is marked Observed when at least 30 direct transitions were recorded; Thin evidence when fewer were; and Estimated when none were — the move to that occupation's group was observed, and the split to this particular occupation is allocated by skill similarity, so no share is shown.

Snapshot cps-movegraph-759b8583ddf6, frozen June 30, 2026. Held-out validation: precision@5 of 0.238, against 0.163 for a popularity baseline and 0.154 for a skill-similarity baseline.

What this page cannot tell you

It cannot tell you which of these moves fits your own record. A destination that many movers take is still the wrong move for most individuals — the ranking is population-level, and your last three roles, your credentials and what you actually want change it substantially.

See which of these moves your own experience already supports.
Career Companion reads your résumé and scores these destinations against what you have actually done, not against the population average. Start free →