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Management of Companies and Enterprises

Sector · NAICS 55

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Management of Companies and Enterprises is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 2,809,200 workers across 511 detailed occupations in it. A typical worker earns around $99,801 a year (Singulariki estimate, see below).

The Sector as a Whole The Management of Companies and Enterprises sector comprises (1) establishments that hold the securities of (or other equity interests in) companies and enterprises for the purpose of owning a controlling interest or influencing management decisions or (2) establishments (except government establishments) that administer, oversee, and manage establishments of the company or enterprise and that normally undertake the strategic or organizational planning and decision-making role of the company or enterprise. Establishments that administer, oversee, and manage may hold the securities of the company or enterprise. Establishments in this sector perform essential activities that are often undertaken in-house by establishments in many sectors of the economy. By consolidating the performance of these activities of the enterprise at one establishment, economies of scale are achieved. Government establishments primarily engaged in administering, overseeing, and managing governmental programs are classified in Sector 92, Public Administration. Establishments primarily engaged in providing a range of day-to-day office administrative services for other companies or enterprises on a contract or fee basis, such as financial planning, billing and recordkeeping, personnel, and physical distribution and logistics, are classified in Industry 56111, Office Administrative Services.

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 High band — 90th 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 429 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 74.9% of employment · 277/461 occupations have AEI task data
Augmentation vs. automation 47.5% working with AI · 37.0% 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 11.6%
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 3.3%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 2.4%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 2.2%
Develop or analyze information to assess the current or future financial status of firms. Financial Managers Directive 2.1%
Present investment information, such as product risks, fees, or fund performance statistics. Managers, All Other Learning 2.1%
Identify, investigate, or resolve security breaches. Managers, All Other Feedback loop 1.7%
Develop or maintain internal or external company Web sites. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 1.7%
Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand. Market Research Analysts and Marketing Specialists Directive 1.4%
Compose descriptions of merchandise for posting to online storefront, auction sites, or other shopping Web sites. Business Operations Specialists, All Other Directive 1.4%
Document findings of study and prepare recommendations for implementation of new systems, procedures, or organizational changes. Management Analysts Iteration 1.4%
Consult with users, management, vendors, and technicians to assess computing needs and system requirements. Computer and Information Systems Managers Learning 1.2%

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
General and Operations Managers 122,870 4.4% Iteration
Customer Service Representatives 116,740 4.2% Directive
Accountants and Auditors 104,930 3.7% Directive
Financial Managers 93,210 3.3% Directive
Bookkeeping, Accounting, and Auditing Clerks 78,670 2.8% Directive
Market Research Analysts and Marketing Specialists 72,390 2.6% Directive
Computer and Information Systems Managers 71,800 2.6% Learning
Human Resources Specialists 70,720 2.5% Directive
Business Operations Specialists, All Other 67,210 2.4% Directive
First-Line Supervisors of Office and Administrative Support Workers 63,170 2.3% Iteration
Managers, All Other 50,980 1.8% Directive
Marketing Managers 50,050 1.8% Iteration

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 91.0% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Active Listening 90.1% 2,531,720
Speaking 89.2% 2,505,860
Reading Comprehension 88.9% 2,496,220
Critical Thinking 88.7% 2,490,630
Time Management 86.7% 2,435,120
Monitoring 85.9% 2,413,970
Writing 85.5% 2,400,730
Complex Problem Solving 77.6% 2,178,560
Judgment and Decision Making 74.8% 2,100,500
Coordination 74.7% 2,098,030
Social Perceptiveness 73.9% 2,076,990
Active Learning 72.3% 2,030,220

Knowledge areas

Knowledge area Employment reach Workers
English Language 89.9% 2,525,320
Customer and Personal Service 84.3% 2,366,850
Computers and Electronics 71.9% 2,019,410
Administration and Management 70.1% 1,969,660
Mathematics 63.9% 1,796,030
Administrative 49.6% 1,393,850
Economics and Accounting 32.6% 916,400
Education and Training 32.3% 908,080
Personnel and Human Resources 28.9% 810,740
Law and Government 25.7% 721,270
Sales and Marketing 18.9% 530,930
Communications and Media 17.5% 491,990

Abilities

Abilitie Employment reach Workers
Near Vision 90.9% 2,554,780
Oral Comprehension 90.8% 2,552,120
Oral Expression 90.7% 2,547,710
Speech Recognition 89.7% 2,519,800
Information Ordering 89.6% 2,516,050
Speech Clarity 89.5% 2,513,120
Problem Sensitivity 89.3% 2,508,070
Written Comprehension 89.2% 2,505,340
Deductive Reasoning 88.1% 2,473,720
Inductive Reasoning 87.2% 2,449,980
Written Expression 87.0% 2,445,050
Category Flexibility 83.0% 2,332,690

Tool categories

Tool category Employment reach Workers
Office suite software 96.2% 2,701,190
Spreadsheet software 96.2% 2,702,860
Electronic mail software 95.2% 2,674,500
Word processing software 94.7% 2,660,770
Data base user interface and query software 93.0% 2,613,170
Presentation software 92.4% 2,594,940
Enterprise resource planning ERP software 88.0% 2,472,850
Document management software 84.2% 2,364,240
Project management software 82.3% 2,310,990
Operating system software 78.6% 2,208,300
Internet browser software 73.0% 2,050,000
Customer relationship management CRM software 71.0% 1,994,630
Analytical or scientific software 70.8% 1,989,070
Business intelligence and data analysis software 69.9% 1,963,680
Accounting software 68.8% 1,932,220

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 39 occupations in Management of Companies and Enterprises. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Maintenance and Repair Workers, General Registered Nurses General and Operations Managers Managers, All Other Compliance Officers Medical and Health Services Managers Office Clerks, General Business Operations Specialists, All Other Production, Planning, and Expediting Clerks Billing and Posting Clerks Computer User Support Specialists First-Line Supervisors of Office and Administrative Support Workers Executive Secretaries and Executive Administrative Assistants Bookkeeping, Accounting, and Auditing Clerks 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
General and Operations Managers 122,870 4.4% $161,950
Customer Service Representatives 116,740 4.2% $47,170
Accountants and Auditors 104,930 3.7% $86,010
Software Developers 99,720 3.5% $133,650
Financial Managers 93,210 3.3% $169,340
Bookkeeping, Accounting, and Auditing Clerks 78,670 2.8% $49,600
Market Research Analysts and Marketing Specialists 72,390 2.6% $98,300
Computer and Information Systems Managers 71,800 2.6% $172,830
Human Resources Specialists 70,720 2.5% $79,110
Business Operations Specialists, All Other 67,210 2.4% $85,920
First-Line Supervisors of Office and Administrative Support Workers 63,170 2.2% $79,070
Computer Systems Analysts 59,610 2.1% $109,210
Managers, All Other 50,980 1.8% $163,830
Marketing Managers 50,050 1.8% $169,840
Management Analysts 49,800 1.8% $101,560
Project Management Specialists 48,900 1.7% $114,660
Buyers and Purchasing Agents 45,910 1.6% $82,150
Financial and Investment Analysts 45,100 1.6% $99,760
Computer User Support Specialists 37,660 1.3% $62,370
Office Clerks, General 35,870 1.3% $46,930
Sales Managers 35,830 1.3% $166,330
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 33,080 1.2% $51,030
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products 32,120 1.1% $79,190
Human Resources Managers 31,650 1.1% $163,180
Executive Secretaries and Executive Administrative Assistants 29,520 1.1% $81,820
Billing and Posting Clerks 29,410 1.0% $48,730
Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel 26,480 0.9% $74,360
Data Scientists 26,100 0.9% $126,940
Maintenance and Repair Workers, General 25,770 0.9% $53,230
Computer Occupations, All Other 25,660 0.9% $127,600
Logisticians 25,500 0.9% $84,960
Training and Development Specialists 24,940 0.9% $79,150
Network and Computer Systems Administrators 23,550 0.8% $101,600
Lawyers 23,460 0.8% $216,440
Compliance Officers 22,870 0.8% $89,740
Registered Nurses 21,530 0.8% $95,070
Information Security Analysts 19,900 0.7% $127,840
Production, Planning, and Expediting Clerks 18,180 0.6% $65,930
Medical and Health Services Managers 17,930 0.6% $152,000
Computer Network Architects 17,530 0.6% $137,770

Showing the top 40 of 511 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
Compensation and Benefits Managers 12.47× 4,560
Fashion Designers 11.79× 4,490
Purchasing Managers 10.75× 15,910
Fabric and Apparel Patternmakers 10.36× 540
Food Scientists and Technologists 8.52× 2,230
Human Resources Managers 8.06× 31,650
Training and Development Managers 7.7× 6,310
Compensation, Benefits, and Job Analysis Specialists 7.51× 14,000
Financial and Investment Analysts 7.27× 45,100
Marketing Managers 7.14× 50,050
Computer Systems Analysts 6.57× 59,610
Petroleum Engineers 6.42× 2,220
Credit Analysts 6.29× 7,720
Financial Managers 6.25× 93,210
Credit Authorizers, Checkers, and Clerks 6.2× 1,350
Data Scientists 6.14× 26,100
Computer and Information Systems Managers 6.1× 71,800
Information Security Analysts 6.09× 19,900
Operations Research Analysts 5.99× 11,770
Logisticians 5.94× 25,500
Write a report on thisheadline · factoids · citation

The Management of Companies and Enterprises workforce sits at the 90th percentile of AI task overlap — 2,809,200 U.S. workers

  • Weighting every occupation by its real share of Management of Companies and Enterprises employment, the industry's workforce ranks in the 90th percentile (High 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 2,809,200 U.S. workers across 511 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $99,801.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 48% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
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The Management of Companies and Enterprises workforce sits at the 90th percentile of AI task overlap — 2,809,200 U.S. workers

• Weighting every occupation by its real share of Management of Companies and Enterprises employment, the industry's workforce ranks in the 90th percentile (High 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 2,809,200 U.S. workers across 511 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $99,801. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 48% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Management of Companies and Enterprises". https://singulariki.com/industries/55
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. "Management of Companies and Enterprises." 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/55

APA

Singulariki. (2026). Management of Companies and Enterprises. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/55

BibTeX 
@misc{singulariki-55,
  title  = {Management of Companies and Enterprises},
  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/55}
}

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