← Risk register SOC 47-2121 · reviewed 2026-08-11

Glaziers

58,480 US workers · median $57,080/yr · Construction

EXPOSED

Glaziers cut, handle, and set heavy plate glass, curtain wall units, storefront framing, and skylights on scaffolds, lifts, and half-finished buildings — none of which robotics handles at cost today, and glass is unforgiving of error. AI can eat the desk-side layer: takeoffs from drawings, cut optimization, quoting, and material scheduling. What it cannot do is field-measure an out-of-square opening, shim and set a 400-pound insulated unit, or diagnose a leaking curtain wall joint on the 14th floor.

10-year outlook: Demand holds through the 2030s on energy-code retrofits and commercial reglazing; AI reshapes estimating and shop planning while the install crew stays human.

Score — 65/100 resistance

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 16 + 20 + 7 + 10 + 12 = 65.

Task resistance 16/20

Tasks largely resist digitisation. How much of the day-to-day work current AI already does at usable quality.

Embodiment 20/20

Hands-on in uncontrolled environments. Physical work in unpredictable environments. Robotics lags language models badly.

Liability shield 7/20

Certification preferred, not legally required. Is a licensed human legally required to sign, and personally liable if it goes wrong?

Trust premium 10/20

Some relationship component. Do buyers specifically pay for a human — presence, care, accountability?

Judgment & accountability 12/20

Meaningful discretion. Does the role own consequential calls made with incomplete information?

This verdict was revised after a second scoring. Two independent runs of the same rubric returned 67/100 and 62/100. The score above is their average, and the change of label held whichever way the rounding went — so it reflects the two runs genuinely disagreeing with the first published number, not a rounding artefact.

Confidence: high · reviewed 2026-08-11 · how scoring works

Tasks already automatable

What survives

Active moats: embodiment, physical-presence, unionization

How to future-proof this job

Field report — do you do this job?

Has AI actually changed your work?

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

From people who do this job

Nobody has filed one yet. If you do this work, you know things the rubric can't see.

What has actually changed in your work?

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.