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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Teaching Assistants, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Teaching assistants are "Somewhat Resilient" because while AI is genuinely changing parts of the job — like preparing worksheets, translating materials, and tracking student progress — the heart of the work still requires a real human presence that AI simply can't replicate. Supervising kids in hallways, building trust with a struggling student, or knowing exactly when someone needs encouragement are deeply human skills that robots and chatbots aren't equipped to handle.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Teaching assistants are "Somewhat Resilient" because while AI is genuinely changing parts of the job — like preparing worksheets, translating materials, and tracking student progress — the heart of the work still requires a real human presence that AI simply can't replicate. Supervising kids in hallways, building trust with a struggling student, or knowing exactly when someone needs encouragement are deeply human skills that robots and chatbots aren't equipped to handle.
Read full analysisAnalysis of Current AI Resilience
Teaching Assistants
Updated Quarterly • Last Update: 5/14/2026

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].

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.

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They support teachers by helping students understand lessons, preparing materials, and managing classroom activities to ensure everyone learns effectively.
* 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
AI-generated estimates of task resilience over the next 3 years
Take class attendance and maintain attendance records.
Supervise students in classrooms, halls, cafeterias, school yards, and gymnasiums, or on field trips.
Assist in bus loading and unloading.
Enforce administration policies and rules governing students.
Requisition and stock teaching materials and supplies.
Laminate teaching materials to increase their durability under repeated use.
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.

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