Lessons From the AI Educator examines how artificial intelligence is reshaping higher education culturally, structurally, politically, and ethically. Written by an educator embedded in the day-to-day realities of academic institutions, this book exposes the hidden curriculum surrounding AI, demonstrates how governance structures must evolve, and highlights the campus wide sustainability pressures emerging from rapid AI adoption.

Blending narrative, case studies, and institutional analysis, the book equips faculty, administrators, and higher ed leaders with a framework to make AI adoption responsible, sustainable, and coherent.

AI adoption in higher education is booming, yet institutions are struggling to keep pace. Policies conflict across departments; faculty and staff receive inconsistent messages; students navigate ambiguous expectations for AI use. Sustainability commitments clash with compute heavy tools.

The field currently lacks a book written from inside the institution that:

• Exposes the unspoken cultural norms that shape AI use
• Unifies governance conversations across IT, Student Affairs, and Academic Affairs
• Connects sustainability practices with technological adoption
• Provides a realistic, human-centered path forward

This book aims to bring all of these things together.