Manufacturing
Sector · NAICS 31-33
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Manufacturing is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 12,762,860 workers across 546 detailed occupations in it. A typical worker earns around $63,193 a year (Singulariki estimate, see below).
The Sector as a Whole The Manufacturing sector comprises establishments engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products. The assembling of component parts of manufactured products is considered manufacturing, except in cases where the activity is appropriately classified in Sector 23, Construction. Establishments in the Manufacturing sector are often described as plants, factories, or mills and characteristically use power-driven machines and material handling equipment. However, establishments that transform materials or substances into new products by hand or in the worker's home and those engaged in selling to the general public products made on the same premises from which they are sold, such as bakeries, candy stores, and custom tailors, may also be included in this sector. Manufacturing establishments may process materials or may contract with other establishments to process their materials for them. Both types of establishments are included in manufacturing. Selected industries in the Manufacturing sector are comprised solely of establishments that process materials for other establishments on a contract or fee basis. Beyond these dedicated contract manufacturing industries, establishments that process materials for other establishments are generally classified in the Manufacturing industry of the processed materials. The materials, substances, or components transformed by manufacturing establishments are raw materials that are products of agriculture, forestry, fishing, mining, or quarrying as well as products of other manufacturing establishments. The materials used may be purchased directly from producers, obtained through customary trade channels, or secured without recourse to the market by transferring the product from one establishment to another, under the same ownership. The new product of a manufacturing establishment may be finished in the sense that it is ready for utilization or consumption, or it may be semi-finished to become an input for an establishment engaged in further manufacturing. For example, the product of the alumina refinery is the input used in the primary production of aluminum; primary aluminum is the input to an aluminum wire drawing plant; and aluminum wire is the input for a fabricated wire product manufacturing establishment. The subsectors in the Manufacturing sector generally reflect distinct production processes related to material inputs, production equipment, and employee skills. In the machinery area, where assembling is a key activity, parts and accessories for manufactured products are classified in the industry of the finished manufactured item when they are made for separate sale. For example, an attachment for a piece of metalworking machinery would be classified with metalworking machinery. However, component inputs from other manufacturing establishments are classified based on the production function of the component manufacturer. For example, electronic components are classified in Subsector 334, Computer and Electronic Product Manufacturing, and stampings are classified in Subsector 332, Fabricated Metal Product Manufacturing. Manufacturing establishments often perform one or more activities that are classified outside the Manufacturing sector of NAICS. For instance, almost all manufacturing has some captive research and development or administrative operations, such as accounting, payroll, or management. These captive services are treated the same as captive manufacturing activities. When the services are provided by separate establishments, they are classified in the NAICS sector where such services are primary, not in manufacturing. The boundaries of manufacturing and the other sectors of the classification system can be somewhat blurry. The establishments in the Manufacturing sector are engaged in the transformation of materials into new products. Their output is a new product. However, the definition of what constitutes a new product can be somewhat subjective. As clarification, the following activities are considered manufacturing in NAICS: <table width=100%><tr><td width=10%> </td><td><dl><dt style='padding-left: 10px; text-indent: -10px;'>Milk bottling and pasteurizing;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Water bottling and processing;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Fresh fish packaging (oyster<br/> shucking, fish filleting);</dt><dt style='padding-left: 10px; text-indent: -10px;'>Apparel jobbing (assigning<br/> materials to contract<br/> factories or shops for<br/> fabrication or other contract<br/> operations) as well as<br/> contracting on materials<br/> owned by others;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Printing and related activities;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Ready-mix concrete production;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Leather converting;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Grinding lenses to<br/> prescription;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Wood preserving;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Lapidary work for the trade;</dt></dl></td><td width=10%> </td><td><dl><dt style='padding-left: 10px; text-indent: -10px;'>Electroplating, plating, metal<br/> heat treating, and<br/> polishing for the trade;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Fabricating signs and<br/> advertising displays;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Rebuilding or remanufacturing<br/> machinery (i.e., automotive<br/> parts);</dt><dt style='padding-left: 10px; text-indent: -10px;'>Making manufactured homes<br/> (i.e., mobile homes) or<br/> prefabricated buildings,<br/> whether or not assembling/<br/> erecting at the customers'<br/> site;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Ship repair and renovation;</dt><dt style='padding-left: 10px; text-indent: -10px;'>Machine shops; and</dt><dt style='padding-left: 10px; text-indent: -10px;'>Tire retreading.</dt></dl></td><td width=10%> </td></tr></table> Conversely, there are activities that are sometimes considered manufacturing, but which for NAICS are classified in another sector (i.e., not classified as manufacturing). They include: 1. Logging, classified in Sector 11, Agriculture, Forestry, Fishing and Hunting, is considered a harvesting operation; 2. Beneficiating ores and other minerals, classified in Sector 21, Mining, Quarrying, and Oil and Gas Extraction, is considered part of the activity of mining; 3. Constructing structures, assembling prefabricated buildings, and fabricating at the construction site by contractors are classified in Sector 23, Construction; 4. Breaking bulk and reselling in smaller lots, including packaging, repackaging, or bottling products, such as liquors or chemicals; assembling and selling computers on a custom basis; sorting and reselling scrap; mixing and selling paints to customer order; and cutting metals to customer order for resale are classified in Sector 42, Wholesale Trade, or Sector 44-45, Retail Trade; and 5. Publishing and the combined activity of publishing and printing, classified in Sector 51, Information, transform information into a product for which the value to the consumer lies in the information content, not in the format in which it is distributed (i.e., the book or software compact disc).
Employment is national May 2024 OEWS. "Typical pay" is Singulariki's own figure — the employment-weighted average of each occupation's national median wage — a rough center of the industry, not an official BLS number.
How exposed this industry is to AI
Weighting every occupation in this industry by its employment and its unified AI-exposure index (the OpenAI "GPTs are GPTs" human-rated task overlap folded with the Felten/Raj/Seamans AIOE index), this industry sits in the Moderate band — 34th percentile across all industries.
Exposure measures how much of the work overlaps with what today's AI can do, not a prediction of automation; high-exposure industries are where AI is most likely to reshape tasks. Employment-weighted across 497 occupations that carry an exposure score. Compare every industry on the AI exposure hub.
How AI is actually used in this industry
Among measured Claude.ai (Free and Pro) conversations mapped to O*NET task statements (Anthropic Economic Index, 2026-01-15), these patterns are most associated with the occupations in this industry, weighted by its employment mix. They are shares of observed AI conversations — not of worker time, revenue, or what could be automated — and reflect one AI assistant's consumer sample, not all AI.
| Signal coverage | 46.3% of employment · 250/532 occupations have AEI task data |
| Augmentation vs. automation | 38.1% working with AI · 38.5% handed to AI |
| Most common pattern | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.5 / 5 · higher = AI acts more independently |
Tasks driving the signal
The task families that account for the most AI activity across this industry's occupations (employment × observed usage), each attributed to the occupation it comes from.
| Task | Occupation | How | Share of signal |
|---|---|---|---|
| Troubleshoot problems involving office equipment, such as computer hardware and software. | Office Clerks, General | Feedback loop | 23.3% |
| Answer customers' questions about products, prices, availability, product uses, and credit terms. | Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products | Learning | 4.6% |
| Use computers for various applications, such as database management or word processing. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 2.8% |
| Conduct searches to find needed information, using such sources as the Internet. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 2.6% |
| Answer customers' questions, and provide information on procedures or policies. | Cashiers | Directive | 2.1% |
| Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work. | First-Line Supervisors of Office and Administrative Support Workers | Iteration | 2.0% |
| Develop or maintain internal or external company Web sites. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 2.0% |
| Answer customers' questions about products, prices, availability, or credit terms. | Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products | Directive | 1.5% |
| Analyze test data, making computations as necessary, to determine test results. | Inspectors, Testers, Sorters, Samplers, and Weighers | Directive | 1.4% |
| Enter codes and instructions to program computer-controlled machinery. | Industrial Machinery Mechanics | Directive | 1.4% |
| Edit, standardize, or make changes to material prepared by other writers or establishment personnel. | Technical Writers | Iteration | 1.1% |
| Present investment information, such as product risks, fees, or fund performance statistics. | Managers, All Other | Learning | 1.1% |
Occupations behind the signal
The occupations whose AI-touched tasks contribute most to this industry's signal, by employment here.
| Occupation | Workers | Share | How they use AI |
|---|---|---|---|
| Inspectors, Testers, Sorters, Samplers, and Weighers | 377,260 | 3.0% | Directive |
| General and Operations Managers | 252,710 | 2.0% | Iteration |
| Machinists | 249,790 | 2.0% | Directive |
| Industrial Engineers | 237,030 | 1.9% | Learning |
| Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products | 233,840 | 1.8% | Directive |
| Shipping, Receiving, and Inventory Clerks | 231,730 | 1.8% | Iteration |
| Industrial Machinery Mechanics | 223,700 | 1.8% | Directive |
| Maintenance and Repair Workers, General | 206,550 | 1.6% | Learning |
| Industrial Production Managers | 174,750 | 1.4% | Directive |
| Heavy and Tractor-Trailer Truck Drivers | 159,360 | 1.3% | Directive |
| Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic | 154,400 | 1.2% | Directive |
| Food Batchmakers | 145,060 | 1.1% | Directive |
This rollup is only as complete as the occupation-task matches available for the industry; the coverage figure above is shown so sparse industries do not look falsely precise. AI exposure is not the same as replacement.
Skill & tool metabolism
What this industry's work actually runs on. Each figure is the share of the industry's workers in occupations that significantly rely on a skill, knowledge area, or ability (O*NET importance ≥ 3 of 5), or that use a tool category — its employment reach. This is a measure of how widespread a requirement is across the workforce, not how intensively any one worker uses it. Shares are independent and need not add to 100%.
Based on 85.6% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.
Skills
| Skill | Employment reach | Workers |
|---|---|---|
| Monitoring | 73.2% | 9,340,310 |
| Active Listening | 71.6% | 9,141,470 |
| Critical Thinking | 67.9% | 8,661,850 |
| Speaking | 67.2% | 8,575,140 |
| Reading Comprehension | 57.1% | 7,283,390 |
| Time Management | 56.8% | 7,250,390 |
| Coordination | 49.6% | 6,326,140 |
| Judgment and Decision Making | 49.3% | 6,291,480 |
| Complex Problem Solving | 45.8% | 5,846,100 |
| Operations Monitoring | 44.9% | 5,727,170 |
| Quality Control Analysis | 39.7% | 5,063,740 |
| Writing | 39.1% | 4,986,540 |
Knowledge areas
| Knowledge area | Employment reach | Workers |
|---|---|---|
| English Language | 64.4% | 8,216,900 |
| Production and Processing | 57.1% | 7,281,850 |
| Mathematics | 55.5% | 7,087,830 |
| Customer and Personal Service | 45.2% | 5,769,690 |
| Mechanical | 44.7% | 5,705,860 |
| Administration and Management | 38.8% | 4,952,200 |
| Computers and Electronics | 36.9% | 4,707,860 |
| Education and Training | 28.0% | 3,571,590 |
| Engineering and Technology | 21.9% | 2,796,940 |
| Administrative | 21.6% | 2,751,820 |
| Design | 21.1% | 2,697,980 |
| Public Safety and Security | 19.0% | 2,418,700 |
Abilities
| Abilitie | Employment reach | Workers |
|---|---|---|
| Near Vision | 85.5% | 10,918,400 |
| Oral Comprehension | 83.0% | 10,588,770 |
| Problem Sensitivity | 80.4% | 10,261,270 |
| Information Ordering | 79.2% | 10,103,630 |
| Oral Expression | 76.9% | 9,812,390 |
| Deductive Reasoning | 71.1% | 9,071,780 |
| Speech Recognition | 69.2% | 8,837,270 |
| Selective Attention | 68.0% | 8,682,370 |
| Speech Clarity | 64.4% | 8,215,300 |
| Category Flexibility | 63.8% | 8,142,750 |
| Written Comprehension | 63.7% | 8,131,370 |
| Inductive Reasoning | 57.7% | 7,364,070 |
Tool categories
| Tool category | Employment reach | Workers |
|---|---|---|
| Spreadsheet software | 83.6% | 10,671,960 |
| Office suite software | 81.8% | 10,434,780 |
| Electronic mail software | 77.1% | 9,839,580 |
| Word processing software | 77.0% | 9,821,420 |
| Enterprise resource planning ERP software | 70.2% | 8,963,820 |
| Data base user interface and query software | 61.0% | 7,790,510 |
| Presentation software | 56.1% | 7,156,780 |
| Computer aided design CAD software | 47.9% | 6,108,200 |
| Operating system software | 42.5% | 5,418,590 |
| Analytical or scientific software | 42.4% | 5,413,060 |
| Document management software | 41.0% | 5,226,850 |
| Internet browser software | 40.2% | 5,131,940 |
| Project management software | 38.6% | 4,924,040 |
| Industrial control software | 38.2% | 4,874,820 |
| Inventory management software | 30.7% | 3,918,370 |
Reach = share of industry employment in occupations where the requirement is significant; it is not a per-worker usage or proficiency measure. Skill, knowledge, and ability importance is from O*NET; tool use is reported presence of a technology category.
Largest occupations
The occupations that employ the most people in this industry, with their share of the industry's workforce and national median pay for the occupation (not industry-specific pay).
Showing the top 40 of 546 occupations by employment.
Most distinctive occupations
The occupations most unusually concentrated in this industry compared with the economy as a whole. The location quotient is how many times more common an occupation is here versus its economy-wide share (a value of 5 means five times as concentrated).
For a sector this broad, the location quotient has a ceiling set by the sector's own share of national employment, so the top values tend to cluster near that limit.
Sub-industries
More detailed industries within Manufacturing.
Write a report on thisheadline · factoids · citation
The Manufacturing workforce sits at the 34th percentile of AI task overlap — 12,762,860 U.S. workers
- Weighting every occupation by its real share of Manufacturing employment, the industry's workforce ranks in the 34th percentile (Moderate band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk.Eloundou et al. + Felten AIOE, weighted by BLS OEWS
- The industry employs about 12,762,860 U.S. workers across 546 occupations.BLS OEWS (May 2024)
- Employment-weighted typical annual pay is about $63,193.BLS OEWS (May 2024)
- Of AI use observed across this industry's occupations, 38% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
The Manufacturing workforce sits at the 34th percentile of AI task overlap — 12,762,860 U.S. workers • Weighting every occupation by its real share of Manufacturing employment, the industry's workforce ranks in the 34th percentile (Moderate band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk. (Eloundou et al. + Felten AIOE, weighted by BLS OEWS) • The industry employs about 12,762,860 U.S. workers across 546 occupations. (BLS OEWS (May 2024)) • Employment-weighted typical annual pay is about $63,193. (BLS OEWS (May 2024)) • Of AI use observed across this industry's occupations, 38% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index) Source: Singulariki — "Manufacturing". https://singulariki.com/industries/31-33 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Manufacturing." 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); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/industries/31-33
Singulariki. (2026). Manufacturing. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/31-33
@misc{singulariki-31-33,
title = {Manufacturing},
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); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/industries/31-33}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.