Regulatory Affairs Specialists
United States · BLS Employment Projections 2024–34 (figures for SOC 13-1041 occupational group)
AI exposure in published research
Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.
Data provider: OpenAI · "GPTs are GPTs"
Time basis: 2023 baselineex-ante estimate
Scored against GPT-4-generation capability.
- Human rater basis
- 48.8%
- GPT-4 rater basis
- 45.1%
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
26 rated tasks · 19 tasks with β ≥ 0.5 (73.1%)
- Version:
- gh-main-0471612
- License:
- MIT License · Copyright (c) 2024 OpenAI
Data provider: Anthropic Economic Index
Time basis: Published 2026-03-05composite index
- Observed exposure
- 12.1%
Theoretical exposure index weighted by measured Claude usage, per the original report's definition.
110 tasks · usage observed in 10 · mean 7.6%
Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex
AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
- Version:
- hf-lmi-2026-03
- License:
- CC BY 4.0
- Observation period:
- — (not applicable to this release)
- Model:
- — (not stated by the source)
- Definition source:
- https://www.anthropic.com/research/labor-market-impacts
2023 prediction vs observation-based index published 2026-03-05
One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.
Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.
The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.
The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.
These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.
Task Breakdown
- Monitor regulatory changes and update compliance policies
- Conduct internal compliance audits and inspections
- Prepare regulatory submission documents
- Advise management on compliance risk and strategy
About This Occupation
If you work as a Compliance Analyst, AI is reshaping your profession. With an automation risk of 46/100 and overall exposure at 56%, this role faces high transformation. The highest-impact area is monitor regulatory changes and update compliance policies at 75% automation. This is classified as an 'augment' role. BLS projects 5% growth through 2034. AI-powered regulatory tracking and document analysis tools are transforming compliance workflows, but strategic judgment on risk mitigation and stakeholder communication remains essential.
ISCO-08 classification
Government Regulatory AssociatePprofessionals Not Elsewhere Classified
Indirect mapping — this occupation is linked to the ISCO unit group by a rule-based fallback.
Definition
ILO original text (English)
This unit group covers government regulatory associate professionals not classified elsewhere. For instance the group includes agricultural, fisheries, forestry, prices, wages and weights and measures inspectors.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET13-1041.01
Environmental Compliance Inspectors
Inspect and investigate sources of pollution to protect the public and environment and ensure conformance with Federal, State, and local regulations and ordinances.
View original - ONET13-1041.07
Regulatory Affairs Specialists
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.
View original - ONET45-2011.00
Agricultural Inspectors
Inspect agricultural commodities, processing equipment, and facilities, and fish and logging operations, to ensure compliance with regulations and laws governing health, quality, and safety.
View original
Frequently Asked Questions
The Anthropic Economic Index puts observed exposure at 12.1%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 48.8% under human raters. Both figures are reproduced from published research without modification.
They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.
Recent Changes Affecting This Occupation
Mar 2026: Published evergreen blog analysis: AI exposure 56%, automation risk 46/100 in 2025.
[Source: AI Changing Work Blog]