# Will instructional coordinators be replaced by AI? Updated October 2026 Instructional coordinators score 59 of 100 for AI exposure. The largest share of their task time, 74%, is work AI speeds up while they stay in charge. AI can take over 10% outright, and 16% stays with people. - **10%** AI can do it - **74%** AI helps - **16%** Needs a person High exposure Higher than 89% of the 923 occupations we scored. ## Task by task We graded 30 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 23 and leaves 4 to people. | Task | AI exposure | | --- | --- | | Develop instructional materials, such as lesson plans, handouts, or examinations. AI drafts lesson plans, handouts, and exam items quickly. | 80% AI can do it | | Edit instructional materials, such as books, simulation exercises, lesson plans, instructor guides, and tests. Editing and proofreading are highly automatable with AI. | 80% AI can do it | | Define instructional, learning, or performance objectives. Writing clear learning objectives is a strong AI task. | 75% AI can do it | | Adapt instructional content or delivery methods for different levels or types of learners. AI can rapidly tailor content and delivery for learner groups. | 65% AI helps | | Design instructional aids for stand-alone or instructor-led classroom or online use. AI generates slides, job aids, and visuals; designers refine. | 65% AI helps | ## How instructional coordinators compare All occupations (923) Educational instruction and library (62) **Instructional coordinators score 59**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 45 for educational instruction and library. ## Pay and outlook in the US Median pay $77,440 a year, May 2025 People employed 227,760 in the US, May 2025 Projected change in jobs +1.6% from 2024 to 2034 ## Skills to build - Run validity review on AI-drafted assessments and rubrics - Map learning objectives to assessments in Microsoft Excel - Build interactive modules in Articulate Storyline - Produce instructional video in TechSmith Camtasia - Coach teachers live on the learning management system - Present course design options in Microsoft PowerPoint ## Safer roles nearby 5 related occupations with lower scores. - [Instructional designers58 out of 100](https://www.aigentcy.com/ai-exposure/training-specialists/) - [Education professors52 out of 100](https://www.aigentcy.com/ai-exposure/education-professors/) - [Training managers53 out of 100](https://www.aigentcy.com/ai-exposure/training-managers/) - [Middle school CTE teachers35 out of 100](https://www.aigentcy.com/ai-exposure/middle-school-cte-teachers/) - [Elementary school teachers41 out of 100](https://www.aigentcy.com/ai-exposure/elementary-school-teachers/) ## Questions about instructional coordinators and AI Will AI replace instructional coordinators? Partly. About 5 in 10 working hours of an instructional coordinator's time go to tasks AI can already do, mostly developing instructional materials and editing them. Live coaching, presenting course options to decision makers, and speaking to public audiences stay with people because they need a person in the room. Which instructional coordinator tasks will AI take over? Editing instructional materials, scored 80 for exposure, is marked for automation because AI proofreads lesson plans, instructor guides, and tests in seconds. Defining learning objectives, scored 75, is a strong AI task since drafting measurable outcomes from a course outline is pattern work. Developing measurement tools, scored 65, gets AI-drafted surveys and rubrics that a coordinator still checks for validity. Which instructional coordinator tasks stay with people? Observing teaching staff, scored 15 for exposure, stays with people because a coordinator has to sit in the classroom and judge how a teacher handles students. Addressing public audiences, also scored 15, needs a live speaker who wins over a school board. Advising and teaching students, scored 12, needs a person in front of learners. Together these sit in the 16 percent of task weight that stays human. How can instructional coordinators stay valuable as AI spreads? Start by taking responsibility for the validity review of AI-drafted exam items and rubrics, checking each item against learning objectives in Microsoft Excel. Build interactive modules in Articulate Storyline and video in TechSmith Camtasia, where layout and pacing decisions still need a designer's eye. Spend freed hours coaching teachers live on the learning management system and presenting course options in Microsoft PowerPoint to decision makers. ## Related jobs - [High school special education teachers42 out of 100](https://www.aigentcy.com/ai-exposure/high-school-special-education-teachers/) - [Tutors57 out of 100](https://www.aigentcy.com/ai-exposure/tutors/) - [Career counselors49 out of 100](https://www.aigentcy.com/ai-exposure/career-counselors/) - [Graduate teaching assistants47 out of 100](https://www.aigentcy.com/ai-exposure/graduate-teaching-assistants/) ## Next steps for instructional coordinators - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.