IBM launches K-12 AI fellowship as classroom use outruns teacher training

IBM launched the IBM K-12 AI Leaders Fellowship on September 2, targeting up to 100 New York-area superintendents, education leaders, and educators, after an IBM-sponsored Morning Consult survey found classroom AI use outpacing teacher training. The survey of 1,019 K-12 education professionals and 1,029 parents showed 76% of middle school and 73% of high school educators use AI at least weekly, while only 20% received extensive AI training. Justina Nixon-Saintil, IBM's vice president and chief impact officer, said, "There isn't a single playbook for AI in education, and school leaders shouldn't have to navigate these decisions alone.

IBM launches K-12 AI fellowship as classroom use outruns teacher training The first cohort will include up to 100 New York-area superintendents, education leaders and educators, with SkillsBuild learning, credentials and responsible-AI capstone projects this fall. By RuntimeWire Staff /author/runtimewire-staff · Published Primary source: IBM Newsroom https://newsroom.ibm.com/2026-09-02-new-ibm-study-finds-ai-adoption-is-outpacing-k-12-readiness Why it matters AI adoption in schools is becoming an institutional problem, not a software rollout. IBM is betting that training district leaders can shape policy, purchasing and classroom rules before local practices become difficult to unwind. IBM https://www.ibm.com/?ref=runtimewire on September 2 launched a fellowship for school-system leaders after an IBM-sponsored survey https://newsroom.ibm.com/image/AI Readiness in US Schools Report August2026 FINAL.pdf?ref=runtimewire found that classroom AI use has moved well ahead of teacher training and parent guidance. Justina Nixon-Saintil https://www.ibm.com/think/author/justina-nixon-saintil?ref=runtimewire , IBM's vice president and chief impact officer, is leading the public case for a district-level response: give the people setting school policy practical training before classroom adoption hardens into a patchwork of local rules. The IBM K-12 AI Leaders Fellowship https://newsroom.ibm.com/2026-09-02-new-ibm-study-finds-ai-adoption-is-outpacing-k-12-readiness?ref=runtimewire will begin this fall with up to 100 superintendents, education leaders and educators from the greater New York area. IBM says participants will receive AI instruction and credentials through its free SkillsBuild program https://skillsbuild.org/?ref=runtimewire , work through a responsible-AI curriculum and complete capstone projects intended for use in their districts. IBM plans to take the cohort model into additional states during its first year. Nixon-Saintil has spent much of her career working where large institutions meet new technology. A mechanical engineering graduate of the State University of New York at Buffalo, she began at a U.S. Department of Energy nuclear facility and later led Verizon education programs using 5G and emerging technologies in under-resourced communities. She joined IBM in December 2020 and now oversees education, workforce development and social-impact programs, alongside a role on IBM's Responsible Technology Board. That background shapes the fellowship's emphasis on implementation rather than product demonstrations. "There isn't a single playbook for AI in education, and school leaders shouldn't have to navigate these decisions alone," Nixon-Saintil said in IBM's announcement https://newsroom.ibm.com/2026-09-02-new-ibm-study-finds-ai-adoption-is-outpacing-k-12-readiness?ref=runtimewire . The program is designed around shared district problems: staff preparation, responsible-use policies, curriculum choices and communication with parents. Adoption has outrun the rulebook Morning Consult conducted the online survey in July 2026 for IBM, reaching 1,019 K-12 education professionals and 1,029 parents of K-12 students. Each sample carries a margin of error of plus or minus 3 percentage points. The sponsorship matters: the results establish what respondents reported, rather than an independent measurement of classroom software use or student outcomes. The reported gap is still substantial. Among classroom educators, 76% in middle schools and 73% in high schools said AI was used at least weekly, compared with 45% in elementary schools. Forty-five percent of high-school educators reported daily or almost-daily use. Only 20% of educators said they had received extensive AI training. Forty-two percent identified inadequate training or professional development as the leading obstacle to AI literacy, while 34% pointed to limited curriculum and instructional materials. Just 24% of educators and 16% of parents said the U.S. education system was adapting "very well" to advances in AI. Teachers and administrators are also looking at different parts of the problem. Classroom teachers ranked student dependency on AI, at 52%, and cheating or plagiarism, at 47%, as their leading concerns. Administrators were more likely than teachers to identify inadequate training and tool costs. District leaders therefore have to reconcile classroom conduct, procurement, professional development and policy rather than solve a single technology problem. Parents add another constituency. Seventy-seven percent said they wanted input into classroom AI use, yet only 20% said they clearly understood the guidance their children received at school. Clearer guidelines and greater transparency were the two most common changes parents said would increase their confidence. The survey also found disagreement over whether AI belongs in school at all. Fifty-nine percent of educators said AI literacy should be required or offered as an elective, compared with 40% of parents. Twenty-eight percent of parents said AI did not belong in K-12 education at this time, against 12% of educators. Big technology companies are building the training layer IBM is entering a field that already includes technology companies, universities and education nonprofits. Google and ISTE+ASCD https://blog.google/products-and-platforms/products/education/teacher-ai-literacy-training/?ref=runtimewire are rolling out free Gemini-focused AI literacy training intended to reach roughly 6 million U.S. educators. OpenAI committed $10 million over five years https://openai.com/global-affairs/aft/?ref=runtimewire to an American Federation of Teachers initiative targeting 400,000 K-12 educators by 2030. District-centered programs provide a closer comparison. The University of Pennsylvania Graduate School of Education expanded its Pioneering AI in School Systems program https://www.gse.upenn.edu/news/penn-gse-announces-expansion-pioneering-ai-school-systems-program-school-districts?ref=runtimewire in March with a $1 million investment from Google.org. Its curriculum covers strategy, policy, privacy, bias and classroom practice. Throughline Learning's Fuse AI Fellowship https://throughlinelearning.org/fuse-ai-fellowship/?ref=runtimewire trains in-house district specialists, helps leaders develop policy and includes measurement of adoption and impact. AASA, Day of AI and MIT RAISE also announced a national policy-focused fellowship involving 50 superintendents and 100 student leaders https://www.aasa.org/news-media/news/2026/03/19/aasa-and-day-of-ai-launch-national-fellowship?ref=runtimewire . IBM's program sits closer to those district initiatives than to a mass online course. Its first cohort is small enough to support peer work and capstone projects, while SkillsBuild gives IBM infrastructure for credentials and later expansion. IBM has set a broader goal of skilling 30 million people by 2030 and training 2 million learners in AI by the end of 2026, making the fellowship an extension of an existing workforce-education operation rather than a standalone school project. The corporate incentive is straightforward. Schools need training, governance and trusted intermediaries as AI tools spread through classrooms. Technology providers want a place in the institutions deciding how those tools will be evaluated and used. By starting with superintendents and education leaders, IBM is working upstream of individual software purchases, where district policy and professional-development budgets are set. The fellowship has to produce district changes The first cohort will test whether a corporate training program can turn broad responsible-AI principles into decisions that survive contact with classrooms. Credentials and capstone projects provide a structure. Districts will ultimately need usable policies, trained teachers, clearer communication with families and ways to judge whether AI supports learning. IBM's survey establishes a baseline for the urgency, not evidence that the fellowship will close the gap. The useful measures will come after participants return to their school systems: whether they train colleagues, publish clearer guidance, involve parents and create consistent rules for student and teacher use. Nixon-Saintil's bet is that district leaders can learn faster together than they can through isolated procurement decisions and emergency policy rewrites. AI is already a weekly classroom tool in much of secondary education, according to IBM's respondents. The institutions around those classrooms are now trying to catch up.