AI Readings

Here are some links to materials that those in the K-12 sector may find useful:

Material from our consultants:

1. What Presidents Should Tell Staff Who Fear AI Will Replace Them —
   https://www.linkedin.com/pulse/what-presidents-should-tell-staff-who-fear-ai-replace-abashkin-e5o6f/?trackingId=jEM7ua8rStifM0ek715b2A%3D%3DThis article offers guidance on how institutional leaders should respond to employee anxiety about automation and job displacement, and is aimed at university presidents, senior administrators, HR teams, and staff.
2. Your University Bought AI. Congratulations. Nothing Happened —
   https://www.linkedin.com/pulse/your-university-bought-ai-congratulations-nothing-alexander-abashkin-icd9f/?trackingId=jEM7ua8rStifM0ek715b2A%3D%3DThis article argues that purchasing AI tools achieves little without organizational change, training, governance, and clear use cases, and is intended for university executives, CIOs, administrators, and digital-transformation teams.
3. AI, Loneliness, and the New Reality of Student Support —
   https://www.linkedin.com/pulse/ai-loneliness-new-reality-student-support-alexander-abashkin-thq0f/?trackingId=jEM7ua8rStifM0ek715b2A%3D%3DThis article examines how AI may affect student isolation, relationships, and access to emotional or academic support, and is aimed at student-affairs leaders, counselors, advisers, faculty, and university administrators.
4. 13 Creative Ways Professors Can Use AI in the Classroom —
   https://www.linkedin.com/pulse/13-creative-ways-professors-can-use-ai-classroom-alexander-abashkin-buhff/?trackingId=MkXFrAFnT028OGwboRSqtg%3D%3DThis article presents practical and imaginative uses of AI that support teaching without simply replacing student work, and is intended primarily for professors, instructional designers, and teaching-and-learning staff.
5. AI in a Provost’s Office: Please Don’t Ask It to Write the Strategic Plan —
   https://www.linkedin.com/pulse/ai-provosts-office-please-dont-ask-write-strategic-plan-abashkin-haqmf/?trackingId=MkXFrAFnT028OGwboRSqtg%3D%3DThis article warns academic leaders against using AI for generic strategic planning without institutional knowledge, judgment, and genuine consultation, and is intended for provosts, deans, presidents, and university strategy teams.
6. 7 Uncomfortable Questions About AI in Universities —
   https://www.linkedin.com/pulse/7-uncomfortable-questions-ai-universities-alexander-abashkin-x5pjf/?trackingId=MkXFrAFnT028OGwboRSqtg%3D%3DThis article challenges institutions to confront difficult issues involving learning, employment, governance, inequality, and institutional purpose, and is aimed at presidents, trustees, faculty, administrators, and AI-policy committees.
7. Forget Student Cheating. Is Your University Staff Ready for AI —
   https://www.linkedin.com/pulse/forget-student-cheating-your-university-staff-ready-ai-abashkin-izqqf/?trackingId=MkXFrAFnT028OGwboRSqtg%3D%3DThis article shifts the AI conversation from student misconduct to whether university employees and internal systems are prepared to use the technology effectively, and is targeted at senior leaders, HR teams, faculty, professional-services staff, and AI-governance groups.
8. What AI Will Do to University Fundraising —
   https://www.linkedin.com/pulse/what-ai-do-university-fundraising-alexander-abashkin-7ccvf/?trackingId=jEM7ua8rStifM0ek715b2A%3D%3DThis article considers how AI may transform donor research, personalized communication, campaign strategy, and advancement operations, and is targeted at university presidents, fundraising teams, development officers, and trustees.

 

Material from other sources:

• Data Center Wars Come to Campuses —
  https://www.chronicle.com/newsletter/jagged-intelligence/2026-07-14Published by: The Chronicle of Higher Education, July 14, 2026. This article examines growing campus opposition to AI data centers and the tension between universities’ need for computing capacity and concerns about environmental impact, commercialization, and local communities; it is aimed at university executives, CIOs, facilities leaders, trustees, researchers, and sustainability teams.
• Who’s Driving Conversations About AI on Campuses? —
  https://www.insidehighered.com/opinion/views/2026/07/09/whos-driving-conversations-about-ai-campuses-opinionPublished by: Inside Higher Ed, July 9, 2026. This article argues that corporate vendors, financial pressures, and political forces are shaping university AI adoption too strongly and calls for greater participation by faculty and students; it is aimed at university leaders, faculty senates, academic staff, students, and higher-education associations.
• A Legal Road Map for AI Adoption on Campus —
  https://www.insidehighered.com/opinion/views/2026/07/06/legal-road-map-ai-adoption-campus-opinionPublished by: Inside Higher Ed, July 6, 2026. This article explains the legal risks surrounding AI-assisted academic-integrity decisions, employment screening, and institutional operations; it is intended for university general counsels, presidents, HR leaders, academic-integrity officers, compliance teams, and AI-governance committees.
• Community Colleges Are Leading in AI —
  https://www.chronicle.com/newsletter/jagged-intelligence/2026-06-30Published by: The Chronicle of Higher Education, June 30, 2026. This article shows how community colleges are using their agility and employer relationships to introduce applied AI education quickly while also confronting AI-enabled enrollment fraud; it is aimed at community-college leaders, workforce-development teams, faculty, employers, and government funders.
• Why Students Aren’t All In on AI—and What They Want From Colleges —
  https://www.insidehighered.com/news/student-success/academic-life/2026/06/11/why-students-arent-all-ai-what-they-want-collegesPublished by: Inside Higher Ed, June 11, 2026. Drawing on a survey of more than 1,000 students, the article finds that students value AI as a learning aid but worry about dependence, career disruption, and inconsistent university guidance; it is aimed at academic leaders, student-affairs teams, faculty, career services, and AI-policy groups.
• Why College Degrees Matter in the Age of AI —
  https://www.edsurge.com/news/2026-05-28-why-college-degrees-matter-in-the-age-of-aiPublished by: EdSurge, May 28, 2026. The article argues that rapidly changing technology makes durable capabilities such as critical thinking, communication, judgment, and independent learning more—not less—valuable; it is aimed at prospective students, parents, educators, career advisers, and higher-education policymakers.
• Half of Campus Tech Leaders Question AI’s ROI —
  https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2026/05/12/half-campus-tech-leaders-question-ais-roiPublished by: Inside Higher Ed, May 12, 2026. The article reports that universities are rapidly expanding access to generative AI even though many campus technology leaders remain uncertain whether their investments are producing sufficient value; it is aimed at CIOs, CTOs, presidents, chief financial officers, procurement teams, and trustees.

Here are some general articles about AI in education: