Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Teaching Assistants:
47.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forTeaching Assistants, All Other
$35,550 median salary•195,000 annual openings•SOC Code: 25-9049.00
Teaching Assistants, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Teaching assistants are labeled "Somewhat Resilient" because while AI is taking over some of the prep work (like creating worksheets or organizing materials), the heart of this job involves real human connection, and that part is much harder for AI to replace. Tasks like supervising students in hallways and cafeterias, encouraging a struggling kid, or building trust with students who have special needs require a physical presence and emotional warmth that no chatbot can replicate.
Learn more about how you can thrive in this position
This role is somewhat resilient
Teaching assistants are labeled "Somewhat Resilient" because while AI is taking over some of the prep work (like creating worksheets or organizing materials), the heart of this job involves real human connection, and that part is much harder for AI to replace. Tasks like supervising students in hallways and cafeterias, encouraging a struggling kid, or building trust with students who have special needs require a physical presence and emotional warmth that no chatbot can replicate.
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Analysis of Current AI Resilience
Teaching Assistants
Updated Quarterly

How is AI changing Teaching Assistants jobs?
Right now, AI is mostly augmenting the people who work in classrooms rather than replacing them. The most common AI tools in schools help with planning, paperwork, and material prep — exactly the lighter "behind the scenes" tasks a teaching assistant might pitch in on. A RAND survey found that in 2025, 54 percent of students and 53 percent of English language arts, math, and science teachers indicated that they used AI for school — increases of more than 15 percentage points compared with the past one to two years, showing how quickly classrooms are adopting the technology [1].
Educators are using tools like Canva AI to spin up worksheets in multiple languages or differentiate them for varied learning needs, and Google NotebookLM to turn dense chapters into podcasts that help students prepare — work that overlaps with preparing teaching materials.
But the human side of the job is much harder to automate. Microsoft's research on real Copilot conversations found that on the flip side, there are some career paths with low AI exposure that are growing in demand, and the most-affected jobs are heavily text- and information-based roles like translators, writers, and customer service reps [2], not jobs that involve physically supervising kids in hallways, cafeterias, and on field trips. As one NEA teacher put it, "A tool helps you get there… But it takes the teacher to guide that process, and I just don't ever see an AI program doing that as effectively as a human in a classroom." Brookings researchers similarly argue that some jobs should be done by humans — jobs that build human relationships and are important to society, like teaching and care-economy professions [3].
Sources

How fast is AI adoption growing for Teaching Assistants?
Adoption inside schools is moving fast on the tool side but slowly on the staffing side. EdWeek reports that more teachers are using AI in their classrooms [4] as free chatbots and lesson-planning apps become widely available — that's commercial availability working in AI's favor. However, RAND also notes that as of spring 2025, only 35 percent of district leaders reported providing students with training on AI, over 80 percent of students said teachers did not explicitly teach them how to use AI for schoolwork, and just 45 percent of principals reported having school or district policies on AI [1].
That guidance gap slows things down.
Labor market pressure also matters. Special education classrooms are already short-staffed: K-12 Dive reported that to fill special educator vacancies, schools often rely on teachers not certified in special education or hire outside contractors, so there's strong demand for human aides, not pressure to replace them. Socially and legally, unions are pushing for guardrails — the Washington Post's interactive on AI vulnerability [5] and the NEA's recommendation that districts assess risks such as data privacy concerns, racial bias, misinformation, plagiarism, and threats to jobs both signal that schools will adopt AI carefully.
The bottom line: AI will likely keep helping teaching assistants prep materials and track progress, but the human work of supervising, encouraging, and connecting with students remains very much yours to do.
Sources

Will AI replace Teaching Assistants?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 47.7% AI Resilience Score reflects real pressure on this role, but it also reflects something important: a lot of what teaching assistants do simply cannot be handed off to a machine. Supervising kids in hallways and cafeterias, supporting students with disabilities, and building the kind of trust that helps a struggling student stay engaged are not text-based tasks an AI can replicate. Brookings researchers argue that jobs involving human relationships and care, including teaching and support roles, are ones that should remain in human hands [3].
Where AI is already showing up is in the prep work. Tools that generate worksheets, differentiate materials, or summarize dense content are becoming common in schools, and by 2025, over half of teachers reported using AI for school-related tasks [1]. That means some of the lighter behind-the-scenes work a teaching assistant handles may get faster or easier with AI help, rather than disappear entirely.
The economic picture is the honest concern here. Wages and long-term earning flexibility in this role are modest, so leaning into the human-centered, relationship-heavy parts of the job, and building skills AI cannot replicate, is the smartest move for anyone in or entering this field.
Sources

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Latest AI news for Teaching Assistants
These articles highlight the transformative role of AI in education, particularly for "Teaching Assistants, All Other." For instance, the NVIDIA guide emphasizes how AI can deepen student understanding by providing tailored support during problem-solving. Additionally, insights from the Nature article stress the importance of student engagement with AI, which can enhance teaching effectiveness. As AI tools become more integrated into classrooms, teaching assistants who adapt to these technologies will not only remain relevant but can also improve learning outcomes, showcasing the resilience of this career path.

Edtech's moment has finally arrived. Efekta Education’s AI Teaching Assistants are taking off across businesses and schools
thepienews.com • 3/11/2026
What it takes for AI Teaching Assistants to move from pilot projects to real-world impact.

Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy
www.nature.com • 2/6/2026
As generative AI becomes increasingly integrated into higher education, understanding how students engage with these technologies is...

How AI Is Helping NYC English Teachers Improve Middle School Reading and Writing
www.the74million.org • 1/30/2026
Superintendents' view: In our districts, educators use artificial intelligence to track student work in real time & give kids support as...

AI Won’t Replace Teachers—But Teachers Who Use AI Will Change Teaching (Opinion)
www.edweek.org • 10/17/2025
Each time a new technology emerges, we hear familiar warnings: It will eliminate jobs, undermine expertise, or destabilize society.

Concept‑Driven AI Teaching Assistant Guides Students to Deeper Insights
developer.nvidia.com • 5/7/2025
An AI-powered teaching assistant built on the NVIDIA RAG Blueprint designed to explain underlying concepts, guide students through problem-solving processes,
More Career Info
Career: Teaching Assistants, All Other
They support teachers by helping students understand lessons, preparing materials, and managing classroom activities to ensure everyone learns effectively.
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Employment & Wage Data
* Data estimated from parent occupation
Median Wage
$35,550
Jobs (2024)
1,616,300
Growth (2024-34)
-0.9%
Annual Openings
195,000
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Take class attendance and maintain attendance records.
2
Supervise students in classrooms, halls, cafeterias, school yards, and gymnasiums, or on field trips.
3
Assist in bus loading and unloading.
4
Enforce administration policies and rules governing students.
5
Requisition and stock teaching materials and supplies.
6
Laminate teaching materials to increase their durability under repeated use.
7
Provide disabled students with assistive devices, supportive technology, and assistance accessing facilities such as restrooms.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
