How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Prepare classrooms with a variety of materials or resources for children to explore, manipulate, or use in learning activities or imaginative play.75
- Provide assistive devices, supportive technology, or assistance accessing facilities, such as restrooms.75
- Prepare objectives, outlines, or other materials for courses of study, following curriculum guidelines or school or state requirements.75
- Prepare, administer, or grade tests or assignments to evaluate students' progress.74
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Guide or counsel students with adjustment problems, academic problems, or special academic interests.01
- Instruct and monitor students in the use and care of equipment or materials to prevent injuries and damage.02
- Prepare classrooms with a variety of materials or resources for children to explore, manipulate, or use in learning activities or imaginative play.03
- Provide assistive devices, supportive technology, or assistance accessing facilities, such as restrooms.04
- Prepare objectives, outlines, or other materials for courses of study, following curriculum guidelines or school or state requirements.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Special Education Teachers, Secondary School
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Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
