Management Analysts
United States · BLS Employment Projections 2024–34 (figures for SOC 13-1111 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
- 50.0%
- GPT-4 rater basis
- 40.5%
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
11 rated tasks · 8 tasks with β ≥ 0.5 (72.7%)
- 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
- 24.3%
Theoretical exposure index weighted by measured Claude usage, per the original report's definition.
10 tasks · usage observed in 2 · mean 17.4%
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
- Gather and analyze organizational data and workflows
- Develop strategic recommendations and reports
- Facilitate stakeholder meetings and change management
- Design process improvements and efficiency models
About This Occupation
If you work as a Management Analyst, AI is reshaping your profession. With an automation risk of 40/100 and overall exposure at 54%, this role faces high transformation. The highest-impact area is gather and analyze organizational data and workflows at 80% automation. This is classified as an 'augment' role. BLS projects 11% growth through 2034. Consultants who integrate AI-driven analytics can deliver deeper insights faster while focusing their human expertise on complex change management.
ISCO-08 classification
Management and Organization Analysts
Definition
ILO original text (English)
Management and organization analysts assist organizations to achieve greater efficiency and solve organizational problems. They study organizational structures, methods, systems and procedures.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET13-1081.00
Logisticians
Analyze and coordinate the ongoing logistical functions of a firm or organization. Responsible for the entire life cycle of a product, including acquisition, distribution, internal allocation, delivery, and final disposal of resources.
View original - ONET13-1081.02
Logistics Analysts
Analyze product delivery or supply chain processes to identify or recommend changes. May manage route activity including invoicing, electronic bills, and shipment tracing.
View original - ONET13-1111.00
Management Analysts
Conduct organizational studies and evaluations, design systems and procedures, conduct work simplification and measurement studies, and prepare operations and procedures manuals to assist management in operating more efficiently and effectively. Includes program analysts and management consultants.
View original
Frequently Asked Questions
The Anthropic Economic Index puts observed exposure at 24.3%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 50.0% 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: Evergreen blog post published analyzing AI impact on management consultants. Data gathering faces 80% automation but stakeholder management stays at 18%. BLS projects 11% growth despite 40% automation risk.
[Source: AI Changing Work Blog]Mar 2026: Published evergreen blog post analyzing AI impact on data analysis: ~65% exposure, ~38% risk, business context and storytelling remain human.
[Source: AI Changing Work Blog]Mar 2026: Game-theory study finds management consulting tasks are highly structured and face acute automation pressure from the demand externality mechanism.
[Source: Falk & Tsoukalas (2026), The AI Layoff Trap]