Administrative and Support and Waste Management and Remediation Services
Sector · NAICS 56
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Administrative and Support and Waste Management and Remediation Services is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 9,031,670 workers across 656 detailed occupations in it. A typical worker earns around $50,591 a year (Singulariki estimate, see below).
The Sector as a Whole The Administrative and Support and Waste Management and Remediation Services sector comprises establishments performing routine support activities for the day-to-day operations of other organizations. These essential activities are often undertaken in-house by establishments in many sectors of the economy. The establishments in this sector specialize in one or more of these support activities and provide these services to clients in a variety of industries and, in some cases, to households. Activities performed include: office administration, hiring and placing of personnel, document preparation and similar clerical services, solicitation, collection, security and surveillance services, cleaning, and waste disposal services. The administrative and management activities performed by establishments in this sector are typically on a contract or fee basis. These activities may also be performed by establishments that are part of the company or enterprise. However, establishments involved in administering, overseeing, and managing other establishments of the company or enterprise are classified in Sector 55, Management of Companies and Enterprises. Establishments in Sector 55, Management of Companies and Enterprises, normally undertake the strategic and organizational planning and decision-making role of the company or enterprise. Government establishments engaged in administering, overseeing, and managing governmental programs are classified in Sector 92, Public Administration.
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 Low band — 32nd 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 526 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 | 50.6% of employment · 290/568 occupations have AEI task data |
| Augmentation vs. automation | 42.5% working with AI · 38.1% handed to AI |
| Most common pattern | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.4 / 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 | 31.9% |
| Use computers for various applications, such as database management or word processing. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 4.0% |
| Conduct searches to find needed information, using such sources as the Internet. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 3.7% |
| Develop or maintain internal or external company Web sites. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 2.8% |
| 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 | 2.6% |
| Direct or provide home health services. | Registered Nurses | Learning | 1.7% |
| Keep records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken. | Customer Service Representatives | Directive | 1.6% |
| Confer with customers by telephone or in person to provide information about products or services, take or enter orders, cancel accounts, or obtain details of complaints. | Customer Service Representatives | Directive | 1.4% |
| Process and prepare documents, such as business or government forms and expense reports. | Office Clerks, General | Directive | 1.3% |
| Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans. | Registered Nurses | Learning | 1.2% |
| Advise customers on plant selection or care. | Landscaping and Groundskeeping Workers | Learning | 0.9% |
| Develop and distribute newsletters, brochures, or other printed materials to share information with patients or medical staff. | Customer Service Representatives | Iteration | 0.9% |
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 |
|---|---|---|---|
| Landscaping and Groundskeeping Workers | 597,250 | 6.6% | Learning |
| Customer Service Representatives | 405,860 | 4.5% | Directive |
| General and Operations Managers | 255,880 | 2.8% | Iteration |
| Office Clerks, General | 206,480 | 2.3% | Feedback loop |
| Human Resources Specialists | 176,700 | 2.0% | Directive |
| Registered Nurses | 134,180 | 1.5% | Learning |
| Maids and Housekeeping Cleaners | 129,650 | 1.4% | Directive |
| Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | 115,970 | 1.3% | Directive |
| Heavy and Tractor-Trailer Truck Drivers | 111,170 | 1.2% | Directive |
| First-Line Supervisors of Office and Administrative Support Workers | 105,510 | 1.2% | Iteration |
| Maintenance and Repair Workers, General | 95,710 | 1.1% | Learning |
| Bookkeeping, Accounting, and Auditing Clerks | 94,010 | 1.0% | 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 91.6% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.
Skills
| Skill | Employment reach | Workers |
|---|---|---|
| Active Listening | 76.7% | 6,926,560 |
| Speaking | 71.0% | 6,416,850 |
| Critical Thinking | 58.8% | 5,314,620 |
| Reading Comprehension | 58.0% | 5,238,110 |
| Monitoring | 57.7% | 5,208,970 |
| Time Management | 48.9% | 4,417,600 |
| Coordination | 48.0% | 4,339,530 |
| Social Perceptiveness | 47.5% | 4,293,580 |
| Judgment and Decision Making | 42.1% | 3,804,640 |
| Writing | 40.4% | 3,648,060 |
| Service Orientation | 38.4% | 3,463,880 |
| Complex Problem Solving | 36.8% | 3,322,320 |
Knowledge areas
| Knowledge area | Employment reach | Workers |
|---|---|---|
| English Language | 74.4% | 6,720,280 |
| Customer and Personal Service | 72.5% | 6,548,420 |
| Administration and Management | 61.1% | 5,514,550 |
| Public Safety and Security | 44.0% | 3,978,010 |
| Administrative | 37.9% | 3,419,970 |
| Computers and Electronics | 36.0% | 3,251,190 |
| Education and Training | 32.1% | 2,896,220 |
| Mathematics | 29.5% | 2,660,920 |
| Law and Government | 18.1% | 1,637,930 |
| Production and Processing | 17.3% | 1,558,410 |
| Psychology | 14.6% | 1,316,860 |
| Mechanical | 12.9% | 1,162,040 |
Abilities
| Abilitie | Employment reach | Workers |
|---|---|---|
| Near Vision | 90.6% | 8,182,300 |
| Oral Comprehension | 84.4% | 7,624,640 |
| Oral Expression | 81.5% | 7,360,580 |
| Problem Sensitivity | 80.4% | 7,263,060 |
| Information Ordering | 66.6% | 6,017,540 |
| Speech Recognition | 63.5% | 5,738,730 |
| Speech Clarity | 61.4% | 5,543,720 |
| Deductive Reasoning | 59.3% | 5,358,390 |
| Written Comprehension | 58.6% | 5,289,940 |
| Inductive Reasoning | 54.7% | 4,941,710 |
| Selective Attention | 49.8% | 4,497,230 |
| Category Flexibility | 46.9% | 4,239,970 |
Tool categories
| Tool category | Employment reach | Workers |
|---|---|---|
| Spreadsheet software | 92.0% | 8,306,270 |
| Office suite software | 89.8% | 8,108,750 |
| Electronic mail software | 89.0% | 8,033,680 |
| Word processing software | 88.3% | 7,976,820 |
| Data base user interface and query software | 56.0% | 5,054,380 |
| Operating system software | 54.7% | 4,936,500 |
| Enterprise resource planning ERP software | 51.0% | 4,607,170 |
| Presentation software | 46.0% | 4,159,060 |
| Document management software | 44.0% | 3,969,780 |
| Internet browser software | 40.9% | 3,695,720 |
| Video conferencing software | 39.0% | 3,522,170 |
| Web page creation and editing software | 38.0% | 3,429,500 |
| Cloud-based data access and sharing software | 37.8% | 3,411,950 |
| Project management software | 36.6% | 3,301,400 |
| Desktop communications software | 35.0% | 3,163,170 |
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 656 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 Administrative and Support and Waste Management and Remediation Services.
Write a report on thisheadline · factoids · citation
The Administrative and Support and Waste Management and Remediation Services workforce sits at the 32nd percentile of AI task overlap — 9,031,670 U.S. workers
- Weighting every occupation by its real share of Administrative and Support and Waste Management and Remediation Services employment, the industry's workforce ranks in the 32nd percentile (Low 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 9,031,670 U.S. workers across 656 occupations.BLS OEWS (May 2024)
- Employment-weighted typical annual pay is about $50,591.BLS OEWS (May 2024)
- Of AI use observed across this industry's occupations, 43% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
The Administrative and Support and Waste Management and Remediation Services workforce sits at the 32nd percentile of AI task overlap — 9,031,670 U.S. workers • Weighting every occupation by its real share of Administrative and Support and Waste Management and Remediation Services employment, the industry's workforce ranks in the 32nd percentile (Low 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 9,031,670 U.S. workers across 656 occupations. (BLS OEWS (May 2024)) • Employment-weighted typical annual pay is about $50,591. (BLS OEWS (May 2024)) • Of AI use observed across this industry's occupations, 43% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index) Source: Singulariki — "Administrative and Support and Waste Management and Remediation Services". https://singulariki.com/industries/56 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. "Administrative and Support and Waste Management and Remediation Services." 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/56
Singulariki. (2026). Administrative and Support and Waste Management and Remediation Services. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/56
@misc{singulariki-56,
title = {Administrative and Support and Waste Management and Remediation Services},
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/56}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.