Occupation · SOC 13-1041.07
Coordinate and document internal regulatory processes, such as internal audits, inspections, license renewals, or registrations. May compile and prepare materials for submission to regulatory agencies.
Also called: Regulatory Affairs Associate (RA Associate) · Regulatory Affairs Consultant (RA Consultant) · Regulatory Affairs Specialist (RA Specialist) · Regulatory Engineer · Drug Regulatory Affairs Specialist · Regulatory Affairs Analyst (RA Analyst) · Regulatory Affairs Strategist (RA Strategist) · Regulatory Services Consultant · Regulatory Specialist · Regulatory Submissions Associate · Anti Money Laundering Compliance Analyst (AML Compliance Analyst) · CMC Regulatory Affairs Manager (Chemistry, Manufacturing, and Controls Regulatory Affairs Manager)
Job family: Business and Financial Operations Occupations
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A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
75th-percentile task overlap — yet about 33,300 openings a year (+3% projected, BLS), and observed AI use leans 5000% copilot, not hand-off (AEI) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 64th | 0.7 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 91st | 1.0 | |
| AI assistant applicability (Microsoft) High | 67th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.1 · 26th percentile among occupations · Low
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Prepare responses to customer requests for information, such as product data, written regulatory affairs statements, surveys, or questionnaires. | 4.2% | |
| Interpret regulatory rules or rule changes and ensure that they are communicated through corporate policies and procedures. | 1.0% | |
| Advise project teams on subjects such as premarket regulatory requirements, export and labeling requirements, or clinical study compliance issues. | 0.7% | |
| Obtain and distribute updated information regarding domestic or international laws, guidelines, or standards. | 0.4% | |
| Review clinical protocols to ensure collection of data needed for regulatory submissions. | 0.4% | |
| Determine regulations or procedures related to the management, collection, reuse, recovery, or recycling of packaging waste. | 0.3% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.0% by 2034 |
| Projected annual openings | 33,300 |
| Employment 2024 → 2034 | 418,000 → 430,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 3 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Government Social Benefits Officials · 3353 | 45% | Gradient 2 |
| Government Licensing Officials · 3354 | 43% | Gradient 2 |
| Customs and Border Inspectors · 3351 | 32% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 50.0% working with AI · 39.7% handed to AI |
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 62.8% |
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Interpret regulatory rules or rule changes and ensure that they are communicated through corporate policies and procedures. | Learning | 0.9% |
| Prepare responses to customer requests for information, such as product data, written regulatory affairs statements, surveys, or questionnaires. | Iteration | 0.8% |
| Obtain and distribute updated information regarding domestic or international laws, guidelines, or standards. | Directive | 0.6% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Obtain and distribute updated information regarding domestic or international laws, guidelines, or standards. | 100.0% | |
| Prepare responses to customer requests for information, such as product data, written regulatory affairs statements, surveys, or questionnaires. | 97.6% | |
| Interpret regulatory rules or rule changes and ensure that they are communicated through corporate policies and procedures. | 93.3% |
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
Help me interpret regulatory rules or rule changes and ensure that they are communicated through corporate policies and procedures. From: Interpret regulatory rules or rule changes and ensure that they are communicated through corporate policies and procedures. · 0.9% of measured AI use · learning
Help me prepare responses to customer requests for information, such as product data, written regulatory affairs statements, surveys, or questionnaires. From: Prepare responses to customer requests for information, such as product data, written regulatory affairs statements, surveys, or questionnaires. · 0.8% of measured AI use · task iteration
Help me obtain and distribute updated information regarding domestic or international laws, guidelines, or standards. From: Obtain and distribute updated information regarding domestic or international laws, guidelines, or standards. · 0.6% of measured AI use · directive
All 32 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| English Language | 4.5 | |
| Law and Government | 4.1 | |
| Biology | 3.5 | |
| Computers and Electronics | 3.4 | |
| Administration and Management | 3.4 | |
| Administrative | 3.2 |
| Written Comprehension | 4.3 | |
| Written Expression | 4.1 | |
| Oral Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Problem Sensitivity | 3.9 | |
| Deductive Reasoning | 3.9 | |
| Inductive Reasoning | 3.9 | |
| Speech Clarity | 3.9 | |
| Speech Recognition | 3.8 | |
| Information Ordering | 3.6 | |
| Near Vision | 3.6 | |
| Fluency of Ideas | 3.1 | |
| Category Flexibility | 3.0 | |
| Mathematical Reasoning | 3.0 |
| Active Listening | 4.0 | |
| Writing | 4.0 | |
| Speaking | 4.0 | |
| Reading Comprehension | 3.9 | |
| Critical Thinking | 3.9 | |
| Active Learning | 3.3 | |
| Monitoring | 3.3 | |
| Learning Strategies | 3.0 |
| Judgment and Decision Making | 3.9 | |
| Complex Problem Solving | 3.8 | |
| Systems Analysis | 3.8 | |
| Social Perceptiveness | 3.4 | |
| Time Management | 3.4 | |
| Systems Evaluation | 3.3 | |
| Coordination | 3.1 | |
| Negotiation | 3.1 | |
| Persuasion | 3.0 | |
| Instructing | 3.0 | |
| Service Orientation | 3.0 | |
| Management of Personnel Resources | 2.9 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 49.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Business, Management, Marketing, and Related Support Services , Health Professions and Related Programs , Homeland Security, Law Enforcement, Firefighting and Related Protective Services , Multi/Interdisciplinary Studies , Natural Resources and Conservation . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 80.0% | |
| Master's Degree | 10.0% | |
| Post-Baccalaureate Certificate | 5.0% | |
| Post-Doctoral Training | 5.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Conventional | 6.3 | |
| Enterprising | 4.5 | |
| Investigative | 3.3 | |
| Social | 2.5 |
| Office Work | 5.2 | |
| Law | 4.2 | |
| Management/Administration | 3.4 | |
| Medical Science | 2.9 | |
| Human Resources | 2.1 | |
| Accounting | 2.1 | |
| Business Initiatives | 2.0 |
| Dependability | 5.0 | |
| Attention to Detail | 4.0 | |
| Integrity | 3.0 | |
| Cautiousness | 2.6 | |
| Intellectual Curiosity | 2.2 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $46,230 |
| 25th percentile | $59,130 |
| Median (50th) | $78,420 |
| 75th percentile | $104,800 |
| 90th percentile | $130,030 |
| People employed | 397,770 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 13-1041), not for the specialty alone.
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Finance and Insurance · Sector | 46,410 | $79,920 |
| Professional, Scientific, and Technical Services · Sector | 38,020 | $90,990 |
| Health Care and Social Assistance · Sector | 32,070 | $68,590 |
| Management of Companies and Enterprises · Sector | 22,870 | $89,740 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 18,660 | $60,800 |
| Manufacturing · Sector | 18,630 | $85,040 |
| Educational Services · Sector | 15,080 | $74,650 |
| Transportation and Warehousing · Sector | 14,480 | $63,430 |
| Wholesale Trade · Sector | 10,460 | $80,660 |
| Temporary Help Services · National industry | 7,260 | $56,880 |
| Real Estate and Rental and Leasing · Sector | 7,040 | $65,310 |
| Information · Sector | 6,310 | $92,300 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Hydroelectric Power Generation · National industry | 7.37× | 130 |
| Direct Health and Medical Insurance Carriers · National industry | 4.96× | 5,750 |
| Fossil Fuel Electric Power Generation · National industry | 3.26× | 600 |
| Management of Companies and Enterprises · Sector | 3.16× | 22,870 |
| Finance and Insurance · Sector | 2.89× | 46,410 |
| Utilities · Sector | 2.8× | 4,180 |
| Testing Laboratories and Services · National industry | 1.8× | 790 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 1.6× | 1,070 |
Part of the Energy & Natural Resources , Financial Services , Management & Entrepreneurship and Public Service & Safety career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Regulatory Affairs Specialists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 74th percentile of 427 international occupations.
Regulatory Affairs Specialists show 75th-percentile AI task overlap — and about 33,300 annual U.S. openings
Regulatory Affairs Specialists show 75th-percentile AI task overlap — and about 33,300 annual U.S. openings • Regulatory Affairs Specialists rank in the 75th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 33,300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $78,420, across about 397,770 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 50% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Regulatory Affairs Specialists". https://singulariki.com/roles/role-13-1041-07 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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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.
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 2, 2026. Figures are estimates, not advice.
Singulariki. "Regulatory Affairs Specialists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-13-1041-07
Singulariki. (2026). Regulatory Affairs Specialists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-13-1041-07
@misc{singulariki-role-13-1041-07,
title = {Regulatory Affairs Specialists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-13-1041-07}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.