# Economists

> Conduct research, prepare reports, or formulate plans to address economic problems related to the production and distribution of goods and services or monetary and fiscal policy. May collect and process economic and statistical data using sampling techniques and econometric methods.

- **SOC code:** 19-3011.00
- **Canonical URL:** https://singulariki.com/roles/role-19-3011-00
- **Also known as:** Economic Analyst, Economic Consultant, Economist, Forensic Economist, Economic Advisor, Economic Development Specialist, Project Economist, Research Economist
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Study economic and statistical data in area of specialization, such as finance, labor, or agriculture.
- Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.
- Study the socioeconomic impacts of new public policies, such as proposed legislation, taxes, services, and regulations.
- Explain economic impact of policies to the public.
- Review documents written by others.
- Provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers.
- Formulate recommendations, policies, or plans to solve economic problems or to interpret markets.
- Conduct research on economic issues, and disseminate research findings through technical reports or scientific articles in journals.
- Supervise research projects and students' study projects.
- Develop economic guidelines and standards, and prepare points of view used in forecasting trends and formulating economic policy.
- Teach theories, principles, and methods of economics.
- Testify at regulatory or legislative hearings concerning the estimated effects of changes in legislation or public policy, and present recommendations based on cost-benefit analyses.

**Emerging tasks** (O*NET):
- Construct and manage economic datasets.
- Present research at seminars and conferences.
- Review documents written by others, such as referee reports.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mathematics _(knowledge)_
- Economics and Accounting _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Mathematics _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Written Comprehension _(ability)_
- Inductive Reasoning _(ability)_
- Mathematical Reasoning _(ability)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Writing _(essential_skill)_
- Speaking _(essential_skill)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- English Language _(Common Skill)_
- Writing _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Active Learning _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft PowerPoint _(Common Skill)_

**Tools & technology:**
- Microsoft Access _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Power BI _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Python _(hot technology, in demand)_
- R _(hot technology, in demand)_
- SAS _(hot technology, in demand)_
- Structured query language SQL _(hot technology, in demand)_
- Tableau _(hot technology, in demand)_
- C++ _(hot technology)_
- IBM SPSS Statistics _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 99th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 96th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 94th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 45th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.2% growth (About average); 0.9k annual openings; 17.6k → 17.8k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $115,440; 15,880 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 24% automation, 67% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers. _(5.0% of measured AI use; learning)_
- Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques. _(2.2% of measured AI use; learning)_
- Supervise research projects and students' study projects. _(0.9% of measured AI use; task iteration)_
- Study economic and statistical data in area of specialization, such as finance, labor, or agriculture. _(0.7% of measured AI use; learning)_
- Conduct research on economic issues and disseminate research findings through technical reports or scientific articles in journals. _(0.5% of measured AI use; learning)_
- Formulate recommendations, policies, or plans to solve economic problems or to interpret markets. _(0.4% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers.
- Help me compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.
- Help me supervise research projects and students' study projects.
- Help me study economic and statistical data in area of specialization, such as finance, labor, or agriculture.
- Help me conduct research on economic issues and disseminate research findings through technical reports or scientific articles in journals.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-19-3011-00_