New IBM Study Finds AI Adoption Is Outpacing K-12 Readiness
IBM (IBM) released new U.S. research on K‑12 AI readiness and launched the IBM K-12 AI leaders fellowship for school and district leaders.
Rhea-AI Summary
IBM (IBM) released new U.S. research on K‑12 AI readiness and launched the IBM K-12 AI leaders fellowship for school and district leaders.
The Morning Consult survey of more than 2,000 K-12 educators and parents finds AI is already widely used in classrooms, especially in secondary grades, but educator training and system readiness lag. Weekly AI use is reported by 76% of middle school and 73% of high school educators, versus 45% in elementary grades, yet only 20% of K-12 educators say they have received extensive AI training. Just 24% of educators and 16% of parents believe the U.S. education system is adapting very well to AI. Parents strongly want a say in classroom AI use, with 77% seeking input but only 20% clearly understanding existing guidance.
The new IBM fellowship will start this fall with up to 100 participants in the greater New York area, providing AI learning via IBM SkillsBuild, curricula, capstone projects and expert facilitators, with plans to expand to additional U.S. states in its first year.
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National survey finds AI readiness gap in schools as IBM launches the IBM K-12 AI leaders fellowship for district leaders to support responsible AI adoption
As schools begin a new academic year, AI is becoming a routine part of K-12 teaching and learning. Yet the survey*, commissioned by IBM and conducted by Morning Consult, finds that the systems supporting responsible AI use are still catching up, pointing to a gap between how quickly AI is entering classrooms and how prepared schools are to manage it.
To help address that need, IBM today announced the IBM K-12 AI leaders fellowship, a new professional learning initiative designed for K-12 superintendents, education leaders and educators. The fellowship will equip school leaders with practical knowledge and tools to guide responsible AI adoption, support educators and strengthen engagement with parents.
The survey, conducted among more than 2,000 K-12 educators and parents, found:
- AI is already routine in secondary classrooms.
76% of middle school and73% of high school classroom educators report AI is used in their classroom at least weekly, compared with45% of elementary educators. Nearly half of high school educators (45% ) report AI is used in the classroom daily or almost daily. - Educator preparation is not keeping pace. Only
20% of K-12 educators say they have received extensive AI training. Lack of training or professional development is also the top barrier educators cite to supporting AI literacy, at42% , followed by limited AI curriculum and instructional materials, at34% . - Schools are making progress, but few say they are adapting especially well. Only
24% of K-12 educators and16% of parents say theU.S . education system is adapting very well to advances in AI.
Parents, meanwhile, want a larger role in how schools use AI. While
"Many superintendents and school leaders are making decisions today that will shape how an entire generation learns and works with AI," said Justina Nixon-Saintil, Vice President and Chief Impact Officer, IBM. "AI readiness means helping educators use AI thoughtfully and responsibly so they can help students build the skills and judgment they'll need for the future of work."
The fellowship's inaugural cohort will launch this fall with up to 100 superintendents, education leaders and educators from the greater
"There isn't a single playbook for AI in education, and school leaders shouldn't have to navigate these decisions alone," said Nixon-Saintil. "Leaders need practical approaches they can take back to their districts. This fellowship creates a space for them to learn from one another and build the confidence to guide responsible AI adoption."
Additional Survey Findings
The research also found:
- Educators and parents agree on when AI learning should begin. Among those who believe AI has a place in education,
41% of both groups point to middle school, grades 6-8, as the stage when students should first begin to learn about AI. - Educators see AI readiness increasing in later grades. While
42% of K-12 educators overall believe students are prepared for future jobs in an AI-driven economy and ready to think critically before accepting AI outputs, confidence rises among middle and high school educators.56% of both groups say students are prepared for future jobs, while56% of middle school educators and59% of high school educators say students are ready to think critically about AI outputs. - Teachers and administrators place different emphasis on AI concerns. Classroom teachers rank student dependency on AI (
52% ) and cheating or plagiarism (47% ) as their leading concerns. Administrators are more likely than teachers to cite insufficient AI training (26% versus19% ) and the cost of AI tools (22% versus11% ). - Educators and parents differ on how AI literacy should fit into K-12 education.
59% of educators believe AI literacy should be required or offered as an elective, compared with40% of parents. Parents are more than twice as likely as educators to say AI does not belong in K-12 education at this time,28% versus12% . - AI is also changing how educators and parents think about higher education.
41% of educators say AI has made a four-year college degree feel more essential, while parents are more likely to say AI has made a degree feel less essential (30% ) than more essential (24% ).
The full study can be found at: https://newsroom.ibm.com/image/AI_Readiness_in_US_Schools_Report_August2026_FINAL.pdf.
*Survey methodology
This survey was commissioned by IBM and conducted by Morning Consult in July 2026 among 2,048
About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service.
Visit www.ibm.com for more information.
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IBM
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