AI Resilience Report forTeachers and Instructors, All Other

Right now, AI is mostly augmenting specialty teachers and instructors — not replacing them. According to the EdWeek Research Center, the percentage of teachers who are using AI-driven tools in their classrooms nearly doubled between 2023 and 2025, with 61% saying they used the technology in their work in 2025, up from 34% in 2023. Researchers from RAND similarly report 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 survey results in the past one to two years ^[1].

Teachers in specialty subjects (think art, music, world languages, robotics, or career and technical education) are using these tools mainly for planning lessons, creating differentiated practice activities, giving feedback on student drafts, and translating materials for English learners. As one expert told EdWeek, "AI is increasingly seen as a high-value tool for planning, differentiation, and feedback". The OECD's Digital Education Outlook 2026 ^[2] frames generative AI as a teammate alongside teachers rather than a substitute, because the heart of teaching — motivating students, reading the room, and mentoring — still needs a human.

Adoption is moving fast but unevenly. On the "fast" side, AI is now baked into the everyday tools teachers already use: "AI is now embedded in common tools — teachers don't have to go looking for it," with companies like Canva, Google, Kahoot!, Khan Academy, and Microsoft adding generative AI features. Training is also scaling up — ISTE+ASCD announced a three-year partnership with Google to deliver AI literacy training to six million U.S. educators ^[3], and eSchoolNews predicts 2026 will be the year AI literacy becomes a core teacher skill ^[4].

On the "slow" side, schools have tight budgets, and policy is lagging: RAND found that as of spring 2025, only 35 percent of district leaders reported that they provide students with training on AI, and parents and students worry about academic honesty and critical-thinking skills. Ethical and legal concerns about student data, bias, and cheating mean districts are rolling AI out cautiously, especially for younger learners and in subjects where creativity and individual expression — like art, music, and language — are the whole point. The good news for anyone considering this career: human judgment, creativity, and connection with students are exactly the skills AI can't replicate, and they're becoming more valuable, not less.