How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is less exposed to automation, and meaningful change looks likely over the next 5 to 10 years.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 6.8 to 30.8
Physical / roboticsrange 20.0 to 44.0
When the change is likely
Partial, 5 to 10 yearslocal demand declining
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
3
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Create a master pattern for each size within a range of garment sizes, using charts, drafting instruments, computers, or grading devices.
50.0
Input specifications into computers to assist with pattern design and pattern cutting.
32.0
Draw details on outlined parts to indicate where parts are to be joined, as well as the positions of pleats, pockets, buttonholes, and other features, using computers or drafting instruments.
32.0
Make adjustments to patterns after fittings.
100.0
Compute dimensions of patterns according to sizes, considering stretching of material.
32.0
Mark samples and finished patterns with information, such as garment size, section, style, identification, and sewing instructions.
32.0
Draw outlines of pattern parts by adapting or copying existing patterns, or by drafting new patterns.
32.0
Test patterns by making and fitting sample garments.
32.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Make adjustments to patterns after fittings.
Local demand is declining
Task: Create a master pattern for each size within a range of garment sizes, using charts, drafting instruments, computers, or grading devices.
How this score is calculated
Map Fabric and Apparel Patternmakers to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 18.8, robotics 32.0.
The timeline comes from the higher axis (32.0), shifted for local demand (declining), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.