Elementary School Teachers, Except Special Education: daily tasks & AI impact
This page breaks Elementary School Teachers, Except Special Education into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 30/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Instruct students individually and in groups, using teaching methods such as lectures, discussions, and demonstrations. Core | 4.95 | — | — |
| Establish and enforce rules for behavior and procedures for maintaining order among the students. Core | 4.79 | — | — |
| Guide and counsel students with adjustment or academic problems or with special academic interests. Core | 4.75 | — | — |
| Adapt teaching methods and instructional materials to meet students' varying needs and interests. Core | 4.67 | — | — |
| Plan and conduct activities for a balanced program of instruction, demonstration, and work time that provides students with opportunities to observe, question, and investigate. Core | 4.63 | — | — |
| Prepare materials and classrooms for class activities. Core | 4.6 | — | — |
| Read books to entire classes or small groups. Core | 4.52 | — | — |
| Observe and evaluate students' performance, behavior, social development, and physical health. Core | 4.52 | — | — |
| Confer with parents or guardians, teachers, counselors, and administrators to resolve students' behavioral and academic problems. Core | 4.52 | — | — |
| Meet with parents and guardians to discuss their children's progress and to determine priorities for their children and their resource needs. Core | 4.49 | — | — |
| Use computers, audio-visual aids, and other equipment and materials to supplement presentations. Core | 4.46 | — | — |
| Meet with other professionals to discuss individual students' needs and progress. Core | 4.36 | — | — |
| Establish clear objectives for all lessons, units, and projects and communicate those objectives to students. Core | 4.36 | — | — |
| Prepare and implement remedial programs for students requiring extra help. Core | 4.35 | — | — |
| Assign and grade class work and homework. Core | 4.34 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Elementary School Teachers, Except Special Education tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Elementary School Teachers, Except Special Education tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Elementary School Teachers, Except Special Education task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.