Google held a large-scale training event at Texas A&M as part of its three-year, $1 billion AI for Education Accelerator, delivering free workshops to students and daylong, instruction-focused sessions to roughly 400 faculty. Texas A&M hosted sessions on Gemini and NotebookLM that aimed to equip instructors with classroom-ready uses and ethical guardrails for generative AI. The initiative formally links Google with more than 200 higher-education partners — including public systems (University of Texas, University of North Carolina) and private research universities (Penn, Michigan, Virginia) — in a bid to standardize AI training across campuses. Campus leaders like Shonda Gibson, Texas A&M System chief transformation officer, framed the work as workforce preparation while faculty warned about students using AI as a shortcut without clear pedagogical guidance. For administrators and academic leaders, the event underscored two immediate choices: scale faculty development to meet employer AI expectations, and adopt precise classroom policies to protect learning outcomes. Recent academic studies cited in coverage also flag risks to student skills when AI replaces core reading and analytic tasks, reinforcing calls for evidence-based integration strategies.