EXPOSED
The analytical half of this job — compiling production data, calculating cycle times and yields, building layout drawings from measurements, writing work instructions and process documentation, and preparing cost and efficiency reports — is exactly the pattern-and-text work current AI plus MES/sensor data does cheaply. What holds is the plant-floor half: walking the line, timing actual operators, catching the informal workarounds that never appear in the data, and physically piloting a fixture or layout change. There is no license or signature requirement here, so the moat is presence and shop-floor credibility, not regulation.
Mixed — a routine tier and a judgment tier. Time studies, cycle-time calculations, yield tabulations, layout CAD updates and standard-work documentation are already generated from MES/PLC and machine-vision data, but the parts that require standing at station 6 to see the operator's undocumented workaround, or running a fixture trial across three shifts to find out why it fails on second shift, still need a person — so roughly half the task list holds, not more.
Some physical or field component. You are on the floor with a tape measure, stopwatch, and calipers doing takt observations, staging pilot cells, and moving conveyor and bench positions during changeovers, but it is a controlled indoor plant with fixed equipment and a maintenance crew doing the actual rigging — physical, not a field trade in weather or confined space.
No licence, no signature requirement. There is no state license or PE stamp attached to this role; the process change you spec goes out under the plant engineering manager's or PE's approval, and the ISO/AS9100 documentation you write is signed off by quality management, so nothing in your work product is legally yours to defend.
Some relationship component. Line supervisors and operators will only give you the real reasons a station runs slow after you've been on their shift long enough to be trusted, which is worth something — but the deliverable is a validated line balance or cost-per-unit figure that management judges on the numbers, and a new tech can inherit the study.
Meaningful discretion. You decide which station to time, which of two layout options to pilot, and whether an observed cycle is representative or an outlier — real calls with cost consequences — but they run inside standard-work methodology, lean/Six Sigma protocol and existing routings, and a capital or safety-relevant change goes up to engineering for the decision.
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Has AI actually changed your work?