Teaching Assistant
Teaching Assistant reads as exposed on the numeric task-based score, but the actual day-to-day work leans heavily on hands-on physical care that current AI and robotics cannot perform: assisting students with disabilities through toileting, mobility, and hygiene needs specified in their IEP, physically de-escalating behavioral incidents in real time, and constantly supervising recess, lunch lines, and hallway transitions where a human adult must be physically present.
In real usage data, AI shows up in this job about as often as the average occupation: not high, not negligible.
Technical detail
Based on Microsoft's "Working with AI" study of real Copilot conversations mapped to O*NET tasks (arXiv 2507.07935): Teaching Assistants, Except Postsecondary scored 0.169 on AI applicability, within one standard deviation of the cross-occupation mean (0.159, stdev 0.098) across all 785 SOC codes studied — banded here as Medium real-world AI usage relative to other occupations.
What a teaching assistant actually does
Teaching assistants — also called instructional paraprofessionals or paraeducators — work under a certified teacher's supervision to support small groups or individual students who need extra help keeping pace with a lesson. A typical day might mean pulling a struggling reader aside for guided practice while the teacher runs the rest of the class, walking the room during independent work to answer questions and redirect off-task behavior, or organizing materials before the next period.
Paraprofessionals assigned to special education classrooms take on more physically demanding duties: implementing a student's IEP-specified accommodations, providing hygiene and mobility assistance for students who need it, carrying out behavior-support plans written by a psychologist or special-education teacher, and de-escalating behavioral incidents in real time. Outside the classroom, TAs supervise recess, lunch, hallway transitions, and bus loading — unstructured time that requires constant, hands-on presence rather than academic instruction.
The role generally doesn't include independent lesson-planning or grading authority; those stay with the certified teacher of record. Entry requirements vary sharply by state: federal law (ESSA Title I) sets a floor of a high school diploma plus either 48 semester hours of college credit, an associate's degree, or a passing score on a local paraprofessional exam, while only about a third of states layer a formal state certification exam or renewal-credit requirement on top of that federal floor.
Why it reads this way
Teaching Assistant reads as exposed on the numeric task-based score, but the actual day-to-day work leans heavily on hands-on physical care that current AI and robotics cannot perform: assisting students with disabilities through toileting, mobility, and hygiene needs specified in their IEP, physically de-escalating behavioral incidents in real time, and constantly supervising recess, lunch lines, and hallway transitions where a human adult must be physically present.
That protection is stronger than the job's credentialing, which is comparatively weak — federal law sets only a baseline diploma-plus-college-credit requirement, and just a third of states layer on a real state certification exam, so this isn't a hard legal wall the way a nursing or teaching license is.
A specific search for AI or robotics actually replacing paraprofessional headcount in a US school district found no case that cleared commercial scale; the closest example, a small New York district's AI-classroom-robot pilot, was paused after community and state pushback rather than expanded.
BLS projects a 1% employment decline through 2034, but BLS attributes that to enrollment and demographic trends, not automation — real, current reporting instead documents an acute, ongoing paraprofessional and special-education staffing shortage in many districts, including one major city where a union estimated roughly 1,600 vacancies.
Skills this role draws on
We don't yet have task-by-task time-share data for this occupation, so we can't show which specific tasks carry the exposure score above. This is the real skill set instead.
Typical salary range (USD)
$23,710–$48,140
Average: $36,430/yr
Range source: BLS Occupational Outlook Handbook, May 2024 (Median Annual Wage)
Average source: BLS Occupational Employment and Wage Statistics, May 2023 (Annual Mean Wage, SOC 25-9045)
Related careers
Head-to-head comparisons
As of 2026-08-10, Teaching Assistant scores 43/100 on structural exposure (Medium band), a middling number driven by the classroom-support and materials-organization sub-tasks this O*NET code covers. Real-world evidence points more protective than that number alone suggests: a targeted search for AI or robotics actually displacing paraprofessional headcount in a US district found no case that reached commercial scale — the closest example, a small New York district's AI-classroom-robot pilot, was paused after community and state pushback in July 2026 rather than expanded. Category 2 evidence is weak, not strong: federal law (ESSA) sets only a baseline diploma-plus-college-credit floor, and just a third of states layer a real certification exam on top, so this isn't a hard legal wall. What carries this verdict is category 3, physical/embodied task evidence: hands-on IEP-specified hygiene and mobility assistance, real-time physical de-escalation of behavioral incidents, and constant hallway/recess/lunch supervision all require a human adult physically present, and none of that is touched by any AI deployment found. BLS projects a 1% employment decline through 2034, but attributes it to enrollment and demographic trends, not automation — current reporting instead documents an acute, ongoing paraprofessional staffing shortage (a NYC union estimated roughly 1,600 vacancies as of July 2026). Cross-checked against the adjacent Special Education Teacher page (score 42, same verdict) — consistent, no divergence to flag. Net verdict: AI-resistant despite the paperwork, Medium confidence (protective evidence concentrated in one strong category — physical presence — with a genuinely weak credentialing wall disclosed rather than glossed over).
This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-08-10.
Sources (5)
- https://www.bls.gov/ooh/education-training-and-library/teacher-assistants.htm
- https://www.onetonline.org/link/summary/25-9042.00
- https://www.npr.org/2026/07/29/g-s1-136072/ai-robot-teacher
- https://www.chalkbeat.org/newyork/2026/07/15/nyc-school-paraprofessional-shortage-leaves-students-with-disabilities-stranded/
- http://newamerica.org/education-policy/briefs/exploring-paraprofessional-requirements-across-the-50-states-and-dc/
Data sources & methodology
Salary data: BLS Occupational Outlook Handbook, May 2024 (Median Annual Wage). Min/max figures represent the 10th–90th percentile annual wage range across the United States. Average figure sourced separately: BLS Occupational Employment and Wage Statistics, May 2023 (Annual Mean Wage, SOC 25-9045).
Automation Risk Score: Based on O*NET occupational analysis (25-9042.00) evaluating task complexity, physical requirements, social intelligence, and environmental variability. Methodology based on research from Frey & Osborne (Oxford, 2017).
Growth projections: -1% (2024-2034), based on BLS Occupational Outlook Handbook.