Education Technology Specialists
United States · BLS Employment Projections 2024–34: this SOC code is not among the published items.
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
- —
- GPT-4 rater basis
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This occupation code is not included in this dataset.
This occupation code is not included in this dataset.
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
— This occupation code is not included in this dataset.
- License:
- MIT License · Copyright (c) 2024 OpenAI
Data provider: Anthropic Economic Index
Time basis: Varies by releasecomposite index
- Observed exposure
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This occupation code is not included in this dataset.
Theoretical exposure index weighted by measured Claude usage, per the original report's definition.
— This occupation code is not included in this dataset.
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.
- License:
- CC BY 4.0
Theoretical estimate vs observed usage
One card (GPTs are GPTs) estimates what AI could theoretically do at the time it was scored; the other (Anthropic Economic Index) observes how AI was actually used. 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
- Deploy and configure learning management systems
- Train teachers on digital tools and platform usage
- Analyze student engagement and performance data
- Troubleshoot technical issues and maintain EdTech infrastructure
About This Occupation
If you work as an Education Technology Specialist, 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 analyze student engagement and performance data at 74% automation. This is classified as an 'augment' role. BLS projects +12% growth through 2034. Specialists who can integrate AI-driven adaptive learning platforms will be in particularly high demand.
ISCO-08 classification
Information Technology Trainers
Indirect mapping — this occupation is linked to the ISCO unit group by a rule-based fallback.
Definition
ILO original text (English)
Information technology trainers develop, schedule and conduct training programmes and courses for computer and other information technology users outside the mainstream primary, secondary and higher education systems.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Frequently Asked Questions
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.