Production and Processing
Knowledge · O*NET work requirement
Knowledge of raw materials, production processes, quality control, costs, and other techniques for maximizing the effective manufacture and distribution of goods.
In the O*NET occupational database, Production and Processing is an area of knowledge that work requires. O*NET rates how important it is (1–5) and what level of it a job needs (0–7) for every U.S. occupation. It is rated as important (3 or higher) in 247 of 894 occupations.
Breadth here means how widely O*NET rates this area of knowledge as important across occupations — not that it is rare, high-paying, or currently in employer demand.
Occupations that rely most on Production and Processing
Ranked by O*NET importance to the occupation (1–5). Bars are sized against the 1–5 scale; the level column is what depth of the area of knowledge the job needs (0–7).
Showing the top 40 of 247 occupations where this is important.
How AI is used by roles that need Production and Processing
This area of knowledge is not itself "being automated" — but we can look at the roles for which O*NET rates it important and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles (importance-weighted). 46.2% of the 247 roles where this is important carry observed AI-usage data (114 roles).
Across those roles, 35.5% of AI conversations are people working with AI and 35.0% hand a task to AI , with an average autonomy of 3.58 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| directive | 31.8% | AI does it; you give the instruction |
| task iteration | 21.6% | you and AI go back and forth |
| learning | 12.9% | you ask AI to explain or teach |
| feedback loop | 3.3% | AI does it, then adjusts from your feedback |
| validation | 1.0% | you do it; AI checks your work |
Roles behind this signal
The roles where this area of knowledge is most important and that also have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.
| Occupation | Importance | Works with AI | Autonomy |
|---|---|---|---|
| Technical Writers | 3.1 | 54.2% | 4.0/5 |
| Engineering Teachers, Postsecondary | 3.1 | 67.0% | 4.0/5 |
| Multimedia Artists and Animators | 3.1 | 52.1% | 4.0/5 |
| Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products | 3.1 | 51.1% | 3.0/5 |
| Operations Research Analysts | 3.7 | 55.2% | 4.0/5 |
| Online Merchants | 3.1 | 42.2% | 4.0/5 |
| Fine Artists, Including Painters, Sculptors, and Illustrators | 3.6 | 50.0% | 4.0/5 |
| Chemists | 3.5 | 61.8% | 4.0/5 |
| Robotics Engineers | 3.7 | 42.0% | 4.0/5 |
| Choreographers | 3.3 | 54.5% | 4.0/5 |
| Graphic Designers | 3.3 | 48.5% | 4.0/5 |
| Film and Video Editors | 3.7 | 51.9% | 4.0/5 |
Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. Shares are of observed conversations, weighted by how important this area of knowledge is to each role; some conversations are left unclassified by Anthropic's taxonomy, so shares need not sum to 100.
Industries that concentrate this
Where Production and Processing matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly rely on Production and Processing (O*NET importance ≥ 3 of 5). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.
Nationally, about 17.3% of workers are in occupations that significantly rely on Production and Processing (measured across 67 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Manufacturing | 7,281,850 | 57.1% |
| Retail Trade | 2,340,750 | 15.0% |
| Transportation and Warehousing | 1,991,410 | 26.9% |
| Accommodation and Food Services | 1,976,800 | 13.9% |
| Wholesale Trade | 1,630,620 | 27.0% |
| Construction | 1,561,550 | 19.2% |
| Administrative and Support and Waste Management and Remediation Services | 1,558,410 | 17.3% |
| Professional, Scientific, and Technical Services | 1,511,290 | 14.0% |
| Health Care and Social Assistance | 1,363,940 | 5.9% |
| Other Services (except Public Administration) | 787,630 | 17.8% |
| Educational Services | 549,690 | 4.0% |
| Real Estate and Rental and Leasing | 534,220 | 22.6% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Machine Shops | National industry | 4.45× | 77.0% |
| Jewelry and Silverware Manufacturing | National industry | 4.03× | 69.7% |
| Manufacturing | Sector | 3.3× | 57.1% |
| Fossil Fuel Electric Power Generation | National industry | 2.88× | 49.9% |
| Farm and Garden Machinery and Equipment Merchant Wholesalers | National industry | 2.69× | 46.6% |
| Testing Laboratories and Services | National industry | 2.51× | 43.5% |
| Pharmacies and Drug Retailers | National industry | 2.39× | 41.4% |
| Solar Electric Power Generation | National industry | 2.36× | 40.9% |
| Plumbing, Heating, and Air-Conditioning Contractors | National industry | 2.35× | 40.6% |
| Utilities | Sector | 2.01× | 34.7% |
| Other Building Equipment Contractors | National industry | 1.97× | 34.0% |
| Masonry Contractors | National industry | 1.95× | 33.8% |
Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.
Related knowledge, skills & abilities
Capabilities required by many of the same occupations — a measure of which skills, knowledge and abilities tend to travel together, not a judgment of similarity.
| Capability | Type | Shared occupations |
|---|---|---|
| Mechanical | Knowledge | 153 |
| Operations Monitoring | Cross-functional skill | 153 |
| Manual Dexterity | Ability | 166 |
| Control Precision | Ability | 151 |
| Quality Control Analysis | Cross-functional skill | 128 |
| Arm-Hand Steadiness | Ability | 171 |
| Visualization | Ability | 163 |
| Finger Dexterity | Ability | 156 |
| Design | Knowledge | 103 |
| Operation and Control | Cross-functional skill | 108 |
| Selective Attention | Ability | 212 |
| Perceptual Speed | Ability | 147 |
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Production and Processing." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27). Accessed June 7, 2026. https://singulariki.com/knowledge/production-and-processing
Singulariki. (2026). Production and Processing. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/knowledge/production-and-processing
@misc{singulariki-production-and-processing,
title = {Production and Processing},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27). Accessed June 7, 2026},
url = {https://singulariki.com/knowledge/production-and-processing}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.