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JOB REPORT / 51-7032 · 20 TASKS

Patternmakers, Wood.

Can AI do the work of Patternmakers, Woods?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Estimate costs for patternmaking jobs
  • Maintain pattern records for reference
  • Read blueprints, drawings, or written specifications to determine sizes…

Your free lesson plan builds the skills that keep you ahead of AI.

A free set of short lessons, about 20 minutes each, at your own pace. No payment, no experience needed.

WHAT WE LOOKED AT

Your job, task by task.

9 of 20 tasks reviewed

This job has 20 core tasks. We went through 9 of them, one at a time.

Task by task, from the work Patternmakers, Woods actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Estimate costs for patternmaking jobs.

    AI DOES

    Pulls material costs, runs labor-hour math, and flags similar past jobs

    YOU DO

    Apply real shop experience to judge complexity, waste, and hidden time

  2. TASK 02

    Maintain pattern records for reference.

    AI DOES

    Organizes, tags, and searches pattern records in digital systems

    YOU DO

    Verify that recorded specs match the actual physical patterns

  3. TASK 03

    Read blueprints, drawings, or written specifications to determine sizes and shapes of patterns and required machine setups.

    AI DOES

    Reads and summarizes blueprint dimensions, flags key measurements, and checks spec documents for missing details

    YOU DO

    Apply shop-floor experience to judge fit, grain, tolerances, and machine setup choices

  4. TASK 04

    Inventory equipment and supplies, ordering parts and tools as necessary.

    AI DOES

    Tracks inventory lists, flags low stock, and drafts purchase orders

    YOU DO

    Physically inspect tools and materials for condition and actual count

  5. TASK 05SOURCE-BACKED TASK

    Compute dimensions, areas, volumes, and weights.

    AI DOES

    Calculates measurements from drawings and specifications

    YOU DO

    Verify results make real-world sense

    About this analysis

    53% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  6. TASK 06

    Mark identifying information such as colors or codes on patterns, parts, and templates to indicate assembly methods.

    AI DOES

    Suggests labeling systems, color codes, and part numbering schemes

    YOU DO

    Apply marks directly to physical wood parts using your own judgment about placement and clarity

  7. TASK 07

    Lay out patterns on wood stock and draw outlines of units, sectional patterns, or full-scale mock-ups of products, based on blueprint specifications and sketches, and using marking and measuring devices.

    AI DOES

    Converts blueprint specs into cutting layouts and flags measurement errors

    YOU DO

    Handle the wood, use marking tools, and judge grain and material quirks in person

  8. TASK 08SOURCE-BACKED TASK

    Verify dimensions of completed patterns, using templates, straightedges, calipers, or protractors.

    AI DOES

    Captures measurements from digital images automatically

    YOU DO

    Judge when specs are close enough

    About this analysis

    33% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  9. TASK 09

    Construct wooden models, templates, full scale mock-ups, jigs, or molds for shaping parts of products.

    AI DOES

    Generates design references, measurements, and cutting plans from specs

    YOU DO

    Apply skilled hands and judgment to shape and assemble physical wood pieces

START LEARNING AI

Practice AI.
Use your judgment.

There are 9 short lessons for this job, about 15 minutes each. Each one starts from a task above and teaches the part that stays with you.

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.