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Education Technology Specialists

Education & Training
Projected change 2024–34:
Median annual wage (2024):
Employment (2024):

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

This occupation code is not included in this dataset.

GPT-4 rater basis

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

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

Unit group 2356ILO official

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

View original

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.