A well-paid executive feels trapped in her very respected but unsatisfying job. A startup founder has paying customers, but knows that unless he "fires" them and pivots the business, his startup won't make it. A senior government planner is tasked with undoing the nation's reliance on outdated infrastructure. These are all examples of individuals stuck in a Local Maximum; we've reached a peak, but not the one that fulfills the highest potential. In order to move up in our pursuits, we must first move back down—a realization which can lead to frustration, decision-making paralysis, and lost opportunity. In How to Move Up When the Only Way Is Down , Judah Taub draws from his perspective guiding early stage AI startups, his years serving in military intelligence, and experiences leading innovation throughout his career. With his off-the-beaten path perspective, Judah shares insights into how humans can achieve better decision-making by learning how AI overcomes local maximums. Explore: ● How to anticipate and identify Local Maximums ● How to overcome psychological Local Maximum blocks and biases ● How to build skills and apply strategies to succeed in complex decision-making ● And more