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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

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 37 occupations in Manufacturing. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Industrial Truck and Tractor Operators Laborers and Freight, Stock, and Material Movers, Hand Packaging and Filling Machine Operators and Tenders Coating, Painting, and Spraying Machine Setters, Operators, and Tenders Packers and Packagers, Hand Welders, Cutters, Solderers, and Brazers Industrial Machinery Mechanics Chemical Equipment Operators and Tenders Printing Press Operators Inspectors, Testers, Sorters, Samplers, and Weighers Computer Numerically Controlled Tool Operators Industrial Production Managers First-Line Supervisors of Production and Operating Workers General and Operations Managers Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products Accountants and Auditors Customer Service Representatives AI task-overlap percentile → ↑ Median pay
The largest occupations in this industry with both an AI task-overlap score and a wage, plotted by task-overlap percentile (horizontal) and median-pay percentile (vertical). Overlap measures shared tasks with AI, not automation.

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).

Occupation Workers Share National median pay
Miscellaneous Assemblers and Fabricators 1,109,190 8.7% $44,770
First-Line Supervisors of Production and Operating Workers 497,140 3.9% $72,800
Laborers and Freight, Stock, and Material Movers, Hand 406,630 3.2% $41,260
Inspectors, Testers, Sorters, Samplers, and Weighers 377,260 3.0% $48,170
Packaging and Filling Machine Operators and Tenders 302,120 2.4% $43,010
Welders, Cutters, Solderers, and Brazers 278,780 2.2% $49,740
General and Operations Managers 252,710 2.0% $128,030
Machinists 249,790 2.0% $55,590
Industrial Engineers 237,030 1.9% $100,060
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products 233,840 1.8% $75,900
Shipping, Receiving, and Inventory Clerks 231,730 1.8% $45,870
Electrical, Electronic, and Electromechanical Assemblers, Except Coil Winders, Tapers, and Finishers 228,530 1.8% $44,000
Industrial Machinery Mechanics 223,700 1.8% $64,680
Maintenance and Repair Workers, General 206,550 1.6% $60,440
Industrial Truck and Tractor Operators 179,250 1.4% $45,200
Industrial Production Managers 174,750 1.4% $119,930
Computer Numerically Controlled Tool Operators 162,710 1.3% $50,140
Heavy and Tractor-Trailer Truck Drivers 159,360 1.2% $54,860
Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic 154,400 1.2% $45,810
Food Batchmakers 145,060 1.1% $43,980
Packers and Packagers, Hand 141,580 1.1% $36,570
Software Developers 141,300 1.1% $134,910
Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic 139,410 1.1% $42,790
Customer Service Representatives 132,160 1.0% $49,330
Office Clerks, General 130,140 1.0% $46,000
Production Workers, All Other 128,800 1.0% $44,360
Mechanical Engineers 127,220 1.0% $99,990
Chemical Equipment Operators and Tenders 124,240 1.0% $57,130
Helpers--Production Workers 119,580 0.9% $38,690
Production, Planning, and Expediting Clerks 119,210 0.9% $59,830
Buyers and Purchasing Agents 111,600 0.9% $76,480
Meat, Poultry, and Fish Cutters and Trimmers 110,850 0.9% $38,170
Printing Press Operators 107,890 0.8% $46,010
Coating, Painting, and Spraying Machine Setters, Operators, and Tenders 107,710 0.8% $46,900
Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic 105,600 0.8% $47,550
Bookkeeping, Accounting, and Auditing Clerks 96,350 0.8% $50,590
Paper Goods Machine Setters, Operators, and Tenders 92,900 0.7% $49,570
Accountants and Auditors 90,600 0.7% $83,940
Mixing and Blending Machine Setters, Operators, and Tenders 82,210 0.6% $48,100
Stockers and Order Fillers 80,890 0.6% $43,740

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.

Occupation Concentration Workers
Timing Device Assemblers and Adjusters 12.08× 230
Shoe Machine Operators and Tenders 11.93× 3,230
Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders 11.93× 20,350
Pourers and Casters, Metal 11.85× 5,720
Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers 11.85× 14,610
Foundry Mold and Coremakers 11.83× 12,460
Semiconductor Processing Technicians 11.83× 31,480
Metal-Refining Furnace Operators and Tenders 11.81× 19,870
Textile Bleaching and Dyeing Machine Operators and Tenders 11.81× 5,690
Chemical Equipment Operators and Tenders 11.78× 124,240
Patternmakers, Metal and Plastic 11.77× 1,530
Plating Machine Setters, Operators, and Tenders, Metal and Plastic 11.67× 30,440
Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic 11.61× 67,380
Extruding and Drawing Machine Setters, Operators, and Tenders, Metal and Plastic 11.59× 63,050
Paper Goods Machine Setters, Operators, and Tenders 11.58× 92,900
Textile Knitting and Weaving Machine Setters, Operators, and Tenders 11.54× 13,880
Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic 11.46× 18,000
Tire Builders 11.41× 19,800
Adhesive Bonding Machine Operators and Tenders 11.37× 11,450
Rolling Machine Setters, Operators, and Tenders, Metal and Plastic 11.31× 20,930

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
Copy the whole kit
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.

Data compiled June 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

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

APA

Singulariki. (2026). Manufacturing. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/31-33

BibTeX
@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.