Somewhat Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

49.8%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium-high

Contributing sources

AI Resilience Report forTeaching Assistants, All Other

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.

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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.

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Analysis of Current AI Resilience

Teaching Assistants

Updated Quarterly • Last Update: 5/14/2026

Analysis
Suggested Actions
State of Automation

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].

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AI Adoption

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.

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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.

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

96% ResilienceSupplemental

Take class attendance and maintain attendance records.

2

95% ResilienceCore Task

Supervise students in classrooms, halls, cafeterias, school yards, and gymnasiums, or on field trips.

3

95% ResilienceSupplemental

Assist in bus loading and unloading.

4

94% ResilienceCore Task

Enforce administration policies and rules governing students.

5

94% ResilienceSupplemental

Requisition and stock teaching materials and supplies.

6

93% ResilienceCore Task

Laminate teaching materials to increase their durability under repeated use.

7

93% ResilienceSupplemental

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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