← Risk register SOC 17-3013 · reviewed 2026-08-11

Mechanical Drafters

39,960 US workers · median $71,550/yr · Engineering

COOKED

The core of this job — turning engineer sketches and specs into dimensioned 3D models, 2D detail sheets, BOMs, and revision packages in SolidWorks/Inventor/Creo — is exactly the parametric, rule-bound screen work that CAD automation, model-based definition, and generative tooling are absorbing fastest. Drafters do not stamp drawings; a licensed PE or the responsible engineer signs, so there is no liability shield protecting the seat. What survives is thin and mostly tied to physical shops: reverse-engineering existing hardware with calipers and scanners, GD&T and tolerance-stack judgment that manufacturing actually trusts, and sitting between design intent and the machinist who has to cut it.

10-year outlook: Expect continued shrinkage in pure drafting seats through the 2030s, with the remaining work concentrating in shop-adjacent hybrids: designer-drafters, GD&T checkers, PLM administrators, and reverse-engineering specialists.

US employment, 2019–2025-27.6%
55,21039,960 workers

Part 2020 shock, part continued decline in the years since.

Median pay $57,060 → $71,550 +0.3% in real terms (nominal +25.4%, less ~25% US inflation over the period)

The job count is not the verdict

This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.

So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.

BLS projection, 2024–2034

-6.5% 42,900 → 40,100 on the projections basis

Exposed, and shrinking

Both signals point the same way: the tasks are largely automatable and the BLS projects -6.5% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~3,300 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

DrafterDetailerDie DesignerBody DesignerGage DesignerMold DesignerTool DesignerDesign CheckerDesign DrafterDetail DrafterPatent DrafterPiping DrafterAutoCAD DrafterPattern DrafterPiping DesignerAutoCAD DesignerCastings DrafterProduct DesignerProject DesignerControls DesignerDesign TechnicianAutoCAD TechnicianFurniture DetailerMechanical Drafter

Score — 21/100 resistance

Holding it up: task resistance (6/20). Weakest point: liability shield (2/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 6 + 4 + 2 + 3 + 6 = 21. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 6/20

Core tasks are already automatable Detailing a weldment from an engineer's markup — projecting views, applying dimension schemes, populating title blocks, exploding assemblies for BOMs, pushing an ECO through revision control — is deterministic work driven off an existing parametric model, and MBD plus automated drawing-creation tools already do the view generation and annotation extraction, which is why this sits at 6 rather than mid-band: the tasks aren't partially automatable, they're the demo case.

Embodiment 4/20

Fully desk- and screen-based The 4 covers the real but occasional trips out of the chair: taking calipers and a scanner to a legacy part with no drawing, walking a print out to the CNC operator to check a datum callout, red-lining on the shop floor during first-article — everything else happens on a dual-monitor workstation and can be done from anywhere with a VPN.

Liability shield 2/20

No licence, no signature requirement No state licenses mechanical drafters and no ASME standard requires a credentialed drafter's signature; the approval block is signed by the responsible engineer or PE, and ASME Y14.5 certification or an ADDA credential helps you get hired but transfers no legal exposure to you, so the 2 reflects credentials that are resume items, not statutory gatekeeping.

Trust premium 3/20

Anonymous artifact production A drafting package is judged by whether the parts fit and the shop can quote it, not by who produced it — the drawing goes out under the firm's title block to a customer who never learns your name — and the 3 acknowledges only the internal familiarity with a specific product line and a specific machinist's preferences that makes you faster than a new hire or an outsourced detailing vendor.

Judgment & accountability 6/20

Executes defined procedures on defined inputs Choosing a tolerance stack, deciding which surface becomes the primary datum, and flagging that a called-out fillet won't clear the cutter are genuine calls that keep this off the floor, but they resolve against Y14.5, company drafting standards, and an engineer's review before release — you raise the issue, someone else owns the decision, which is a 6 rather than a 10.

This occupation has already been through one. Headcount fell 31.3% between 2017 and 2025 — 58,190 to 39,960 — while the median wage held roughly flat in real terms ( -0.5% after inflation). A job being commoditised usually loses pay along with headcount. One that shrinks by half while pay holds is leaving a specialist core behind, and the score above was assigned from the occupation title without sight of that history — so it may be describing the job this used to be rather than the people still doing it. Why this is a known limit.

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

What this job involves — and which parts are yours

The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: judgment

How to future-proof this job

Training paths for your skill gaps: Coursera — active listening and communication skills free to audit · Coursera — negotiation, influence and persuasion courses free to audit · Khan Academy — physics, chemistry and biology from the ground up free · CS50x, Harvard — how software is actually built free · MIT OpenCourseWare — operations management free · Purdue OWL — the standard reference for professional writing free · Coursera — critical thinking and logic, audit free free to audit · OSHA Outreach Training — the 10- and 30-hour cards most employers ask for low

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Commercial and Industrial Designers EXPOSED · 39/100 · you already have ~73% of the skill profile

Skills to close: Active Listening, Persuasion, Science, Technology Design

Aerospace Engineers EXPOSED · 48/100 · you already have ~72% of the skill profile

Skills to close: Science, Operations Analysis, Writing, Critical Thinking

Civil Engineering Technologists and Technicians EXPOSED · 37/100 · you already have ~64% of the skill profile

Skills to close: Science, Critical Thinking, Operation and Control, Active Listening

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 36/100 — EXPOSED.

4 specific changes that would raise this score
  • already happening task resistance +4

    Task-mix shift toward GD&T authoring and tolerance-stack analysis: if generative CAD absorbs the modeling and sheet-generation tier, the remaining seat is ASME Y14.5 datum scheme definition, tolerance allocation against actual process capability, and MBD/PMI validation that shops will accept — work where an error scraps a production run and where checkers currently reject a large share of AI-generated PMI. Watch ASME Y14.5-certification (GDTP) becoming a de facto hiring line rather than a nice-to-have.

  • plausible embodiment +5

    Consolidation of the role into shop-floor reverse engineering and first-article work: portable CMM/Faro-arm and structured-light scanning of legacy hardware with no drawings, scan-to-CAD cleanup, and walking the part with the machinist. Defense and MRO sustainment programs (legacy aircraft, Navy shipyard parts with lost tech data packages) fund exactly this. Raises only if the seat is redefined around the metrology hardware rather than the workstation.

  • plausible liability shield +3

    Adoption of a formal checker-of-record signature block in the quality system — not a PE stamp, but AS9100/ISO 9001 and DO-254/NADCAP-style audit requirements that a named, qualified human verify and sign released drawings and MBD datasets. If FAA or DoD contracting language (e.g., MIL-STD-31000B technical data package deliverables) is amended to require a named human verifier for AI-generated model-based definition, the signature becomes contractual rather than merely procedural.

  • plausible judgment accountability +3

    Ownership of the released-configuration decision: as generative tools produce many candidate models, the consequential call becomes which revision is released, what change-order impact it carries downstream to tooling and inspection fixtures, and whether a deviation is accepted. If CCB (configuration control board) membership and ECO authority formally sit with the drafting/checking seat rather than the design engineer, this rises.

The limit. Even with every lever, this occupation is structurally capped: no licensing board exists for drafters, no buyer pays for a human-drawn detail sheet, and the levers described mostly convert the job into a smaller number of checker/metrology/configuration seats rather than preserving headcount. Trust premium has no plausible route — the customer buys the part, not the drawing.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 182 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Dallas-Fort Worth-Arlington, TX 1,620 $83,200 +16%
Los Angeles-Long Beach-Anaheim, CA 1,480 $80,780 +13%
Houston-Pasadena-The Woodlands, TX 1,300 $78,820 +10%
New York-Newark-Jersey City, NY-NJ 1,180 $84,070 +17%
Seattle-Tacoma-Bellevue, WA 1,020 $94,470 +32%
Detroit-Warren-Dearborn, MI 970 $75,050 +5%
Minneapolis-St. Paul-Bloomington, MN-WI 830 $75,770 +6%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 730 $74,100 +4%

Best paid

Boulder, CO 60 $102,710 +44%
San Francisco-Oakland-Fremont, CA 390 $98,310 +37%
San Jose-Sunnyvale-Santa Clara, CA 240 $97,450 +36%

Percentages are against this occupation's national median of $71,550. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 21. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

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

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

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.

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