IBM Launches K-12 AI Leaders Fellowship
IBM announced in a press release a K-12 AI leaders fellowship for superintendents, education leaders, and educators in the United States. The program follows a survey commissioned by IBM and conducted by Morning Consult among more than 2,000 K-12 educators and parents.
The survey found that 76% of middle school educators and 73% of high school educators said AI is used in their classrooms at least weekly, compared with 45% of elementary educators. Nearly half of high school educators, 45%, said AI is used daily or almost daily.
IBM said only 20% of K-12 educators reported receiving extensive AI training. Educators named lack of training or professional learning as the top barrier to supporting AI literacy, at 42%, followed by limited AI curriculum and instructional materials, at 34%.
The first fellowship cohort will start in fall 2026 with up to 100 participants from the greater New York area. Participants will receive AI learning and credentials through IBM SkillsBuild, along with curriculum, capstone projects, and access to expert facilitators. IBM said it plans to expand the program to more U.S. states during its first year.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI in Education or Daily AI Brief.
Also, consider following us on social media:
More from AI in Education
Oct 22 Microsoft and Public Library Association Offer Free AI Training Oct 22 CareerVillage Receives $10 Million to Expand AI Career Coach Oct 22 Packback launches AI assignments that show student reasoning Oct 22 Pearson Q3 Revenue Rises 6% as AI Skills Assessment Demand Grows Oct 21 Straia Raises $3.1 Million for Higher Education Data PlatformAI in Education
Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Springfield Educators Seek Moratorium on AI in Schools
Kyndryl and Skillsoft Offer Free AI Courses to US High Schools
IBM survey finds 80% of EMEA executives escalated AI incidents to senior leaders
Jisc and Google Start Two Year UK Education AI Partnership
Google Offers Free AI Training to Filipino Teachers
Daily AI Brief: the AI news that matters, in your inbox.