Education Researchers
United States · BLS Employment Projections 2024–34 (figures for SOC 19-3099 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
- 66.3%
- GPT-4 rater basis
- 52.3%
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
22 rated tasks · 21 tasks with β ≥ 0.5 (95.5%)
- 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
- 3.3%
Theoretical exposure index weighted by measured Claude usage, per the original report's definition.
16 tasks · usage observed in 1 · mean 5.6%
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
- Analyze educational data and learning outcomes
- Conduct literature reviews and meta-analyses
- Design research methodologies and surveys
- Present findings to stakeholders and policymakers
About This Occupation
If you work as an Education Researcher, AI is reshaping your profession. With an automation risk of 26/100 and overall exposure at 52%, this role faces moderate transformation. The highest-impact area is analyzing educational data and learning outcomes at 72% automation. This is classified as an 'augment' role. BLS projects +4% growth through 2034, with median annual wage of $72,200. AI excels at processing large datasets and synthesizing literature, dramatically accelerating the research cycle. However, formulating meaningful research questions, designing rigorous methodologies, and interpreting results within complex educational contexts remain distinctly human capabilities. Researchers who leverage AI tools for data analysis and literature synthesis will produce higher-quality work at greater speed.
ISCO-08 classification
Translators, Interpreters and Other Linguists
Indirect mapping — this occupation is linked to the ISCO unit group by a rule-based fallback.
Definition
ILO original text (English)
Translators, interpreters and other linguists translate or interpret from one language into another and study the origin, development and structure of languages.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET19-3099.00
Social Scientists and Related Workers, All Other
All social scientists and related workers not listed separately.
View original - ONET27-3091.00
Interpreters and Translators
Interpret oral or sign language, or translate written text from one language into another.
View original
Frequently Asked Questions
The Anthropic Economic Index puts observed exposure at 3.3%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 66.3% 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.