Don't Let AI Eat You Alive: What Every Employee, Leader, and Organization Must Do Before It’s Too Late
by Rod Brown | at Minnebar20
Don’t Let AI Eat You Alive: What Workers Need to Know Now Short Description / Abstract AI isn’t coming for your job, it’s already reshaping how work gets valued, measured, and rewarded. Most workers are unprepared, and most organizations aren’t helping. The real issue isn’t AI. It’s that organizations have never been good at measuring what people actually contribute. They track what’s easy to count hours, outputs, titles and AI is now optimizing around those flawed metrics. Workers who can’t clearly articulate and evidence their contribution are the most exposed. This session introduces the Contributive Value (CV) framework, a new way to understand why performance systems fail most workers, and OUTSMART, a practical eight element model individuals can use right now to navigate AI disruption, assess their value, and communicate it effectively. This isn’t a doom session. It’s a clear diagnosis—with a survival guide attached. Session Format • Problem framing (10 minutes) • CV + OUTSMART frameworks (15 minutes) • Open discussion and Q&A (15 minutes) Interactive and discussion driven.
Rod Brown
Rod has spent 30+ years studying why organizations fail to measure what people truly contribute and what to do about it. He is the creator of the Contributive Value framework and author (with co-author Charles Donly) of the forthcoming Don’t Let AI Eat You Alive (Globe Pequot / Prometheus, 2027). He has held leadership roles at Xerox, Dell (contract), and Oracle (PeopleSoft), and has served on the boards of Greater MSP and MnSCU–MSU Mankato.
And -Charles Donly is CEO of F2 AI, which is digitizing and modernizing U.S. shipbuilding using AI, machine learning, and edge computing. He's spent 20+ years building and leading global engineering teams across defense, med-tech, and enterprise AI and has a rare gift for making complex systems legible to anyone in the room. He is also Head of Technical Advisory Board in Austin, Texas.
Together: one built the human framework for measuring contribution. The other builds AI systems that operate at the edge of what's technically possible. This session brings both perspectives to a question every worker and leader needs to answer right now.
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