Early Intervention Specialists
Education & TrainingAI exposure
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.026
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.28
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 73% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 16 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Communicate behavioral observations and student progress reports to students, parents, teachers, or administrators.25-2059 | 0.008748.9 |
Write reports to summarize student performance, social growth, or physical development.25-2059 | 0.007240.2 |
Provide students positive feedback to encourage them and help them develop an appreciation for physical education.25-2059 | 0.002010.9 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Review adapted physical education programs or practices to ensure compliance with government or other regulations.O*NET Task ID 17000 | 1.0 |
Request or order physical education equipment, following standard procedures.O*NET Task ID 17001 | 1.0 |
Write reports to summarize student performance, social growth, or physical development.O*NET Task ID 17002 | 1.0 |
Maintain thorough student records to document attendance, participation, or progress, ensuring confidentiality of all records.O*NET Task ID 17008 | 1.0 |
Maintain inventory of instructional equipment, materials, or aids.O*NET Task ID 17009 | 1.0 |
Communicate behavioral observations and student progress reports to students, parents, teachers, or administrators.O*NET Task ID 17012 | 1.0 |
Attend in-service training, workshops, or meetings to keep abreast of current practices or trends in adapted physical education.O*NET Task ID 17003 | 0.5 |
Write or modify individualized education plans (IEPs) for students with intellectual or physical disabilities.O*NET Task ID 17004 | 0.5 |
Prepare lesson plans in accordance with individualized education plans (IEPs) and the functional abilities or needs of students.O*NET Task ID 17007 | 0.5 |
Evaluate the motor needs of individual students to determine their need for adapted physical education services.O*NET Task ID 17010 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page