A Local Maximum is a situation in which 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: Lessons from Artificial Intelligence for Overcoming Your Local Maximum, Judah Taub draws from his perspective guiding early stage AI startups, his years serving in military intelligence where he developed a new kind of intelligence gathering, and his various experiences leading innovation throughout his career. Equipped with an off-the-beaten track perspective, Judah shares insights into how humans can achieve better decision-making to surpass expectations by learning from the way AI overcomes local maximums. 

What tech engineers already know is that with the rise of AI, we’ve developed new ways of addressing these limitations. These techniques, employed to save billions of dollars for global giants like Amazon and Google, are equally applicable to each of us. The trick is to be open to learning from AI instead of just using or fearing it.