Will AI replace teaching assistants, special education?
Unlikely. Most of the work is hard for today's AI to speed up. Teaching Assistants, Special Education score 27 out of 100 (moderate exposure), #565 of 923 US jobs. AI could speed up 11 of the job's 30 tasks, 5 of them on its own, while 19 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which teaching assistants, special education tasks can AI do?
The most exposed tasks include "Grade homework and tests, and compute and record results, using answer sheets or electronic marking devices"; "Maintain computers in classrooms and laboratories, and assist students with hardware and software use"; "Prepare lesson outlines and plans in assigned subject areas and submit outlines to teachers for review".
Which teaching assistants, special education tasks are hardest for AI?
Tasks with little or no AI speed-up include "Assist in bus loading and unloading"; "Attend staff meetings and serve on committees, as required"; "Carry out therapeutic regimens, such as behavior modification and personal development programs, under the supervision of special education instructors, psychologists, or speech-language pathologists".
Are people already using AI for this work?
Yes. In April–May 2026, 6 of the 30 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as teaching assistants, special education, and what do they earn?
About 1,584,440 people in the US (figure for Teaching Assistants), with median pay of $37,010 a year (BLS, May 2025).