This edition of the "Weekly Dose of GenAI Adoption" newsletter, authored by AWS expert Indy Sawhney, provides a practical framework for organizations seeking to accelerate Generative AI adoption. The author introduces the "Mini Iceberg" exercise, a localized method inspired by MIT's national Project Iceberg Index, which estimates AI's technical capacity to perform tasks representing significant national wage value. This simple, team-level workshop instructs employees to list their routine work and score it based on three criteria: Repetition, Structure, and AI Helpfulness. Tasks with a resulting high score (11–15) are identified as strong candidates for Agentic AI assistance and immediate experimentation. The ultimate purpose of this methodology is to shift the corporate conversation from potential job displacement to proactively identifying specific work that can be safely automated, thereby allowing human workers to focus on complex, high-judgment activities.