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Pressers, Textile, Garment, and Related Materials vs Paper Goods Machine Setters, Operators, and Tenders

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Pressers, Textile, Garment, and Related Materials and Paper Goods Machine Setters, Operators, and Tenders on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Pressers, Textile, Garment, and Related Materials Paper Goods Machine Setters, Operators, and Tenders
Median pay · BLS OEWS
$33,880
$49,390
Employment · BLS OEWS
26,830
96,950
AI exposure (percentile) · task overlap, not automation
12th pct
27th pct

At a glance

Dimension Pressers, Textile, Garment, and Related Materials Paper Goods Machine Setters, Operators, and Tenders
Median pay $33,880 $49,390
Employment 26,830 96,950
Employment outlook (2024–34) · BLS projection Declining (-13.5%) Declining (-6.3%)
Annual openings · BLS projection 2,800 8,100
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Usually requires a high school diploma or GED, though some occupations may not.
AI exposure · published exposure studies Low · 12th pct Low · 27th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 16th pct · 14% of tasks 46th pct · 25% of tasks
Observed AI use · Anthropic Economic Index — —
Mostly remote-capable · Dingel–Neiman No No

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Manual Dexterity, Customer and Personal Service, Arm-Hand Steadiness, Production and Processing, Control Precision, Near Vision, Finger Dexterity, Operation and Control, Reaction Time, Trunk Strength, English Language, Rate Control, Extent Flexibility, Problem Sensitivity, Critical Thinking, Operations Monitoring, Time Management, Oral Comprehension, Deductive Reasoning, Information Ordering, Selective Attention, Mathematics, Monitoring, Inductive Reasoning, Complex Problem Solving, Equipment Maintenance.

Specific to Pressers, Textile, Garment, and Related Materials

  • Multilimb Coordination
  • Public Safety and Security
  • Dynamic Strength
  • Stamina
  • Education and Training
  • Administration and Management
  • Static Strength
  • Far Vision

Specific to Paper Goods Machine Setters, Operators, and Tenders

  • Mechanical
  • Quality Control Analysis
  • Active Listening
  • Speaking
  • Oral Expression
  • Active Learning
  • Social Perceptiveness
  • Coordination

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Spreadsheet software , Word processing software , Electronic mail software .

Specific to Pressers, Textile, Garment, and Related Materials

    Specific to Paper Goods Machine Setters, Operators, and Tenders

    Full profiles

    This page is a summary. See the complete source-backed profile for Pressers, Textile, Garment, and Related Materials or Paper Goods Machine Setters, Operators, and Tenders — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

    More comparisons

    Related occupations you can place side by side on the same sourced scale.

    Sources for this page

    Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

    Data compiled June 2, 2026. Figures are estimates, not advice.

    Cite this page
    Plain

    Singulariki. "Pressers, Textile, Garment, and Related Materials vs Paper Goods Machine Setters, Operators, and Tenders." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/pressers-textile-garment-and-related-materials-vs-paper-goods-machine-setters-operators-and-tenders

    APA

    Singulariki. (2026). Pressers, Textile, Garment, and Related Materials vs Paper Goods Machine Setters, Operators, and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/pressers-textile-garment-and-related-materials-vs-paper-goods-machine-setters-operators-and-tenders

    BibTeX 
    @misc{singulariki-pressers-textile-garment-and-related-materials-vs-paper-goods-machine-setters-operators-and-tenders,
  title  = {Pressers, Textile, Garment, and Related Materials vs Paper Goods Machine Setters, Operators, and Tenders},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/pressers-textile-garment-and-related-materials-vs-paper-goods-machine-setters-operators-and-tenders}
}

    Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.