Description:
In AMPLIFIED technology executive Dan Leiva presents a practical leadership framework for organizations navigating the rise of artificial intelligence.
Review Quotes:
Kirkus Reviews
AMPLIFIED: The Operator's Playbook for Scaling Human Potential in an AI World
by Dan Leiva
Release Date: March 31, 2026
Beyond Publishing, Dallas Texas
"While not for general readers, this handbook contains clear thinking about AI and large language models that will no doubt benefit its niche target audience."
Leiva provides a framework to help large organizations integrate AI in this handbook.
Many organizations, says Leiva, a leading technology executive and information architect, fall into what he calls "the efficiency trap: " They optimize for speed and lowered costs while neglecting internal human judgment, thus eroding external customer trust. Leiva, who's led teams at Apple, Intuit, and eBay (among others), understands that this situation can lead to "Zombie Organizations" that have begun to rely too heavily on automation. He provides many examples of such behavior, including a company where customers began to vent their frustrations via social media because they couldn't reach a human agent to override system glitches.
While Leiva wants to be sure executives and managers understand what they're losing by focusing on metrics to the detriment of human interaction, his book is not a full-scale critique of the many areas that suffer from this "Velocity of Zero" (i.e., when a group has great output but little meaningful change). Rather, the negative examples exist to demonstrate the author's "A.M.P.L.I.F.Y." method, in which seven leadership disciplines, from Assess to Yield, can help keep organizations using AI processes hew to human principles.
The first half of the book lays out the "Amplified" philosophy; the second half provides a toolkit along with design templates and implementation guides so that readers can start working toward real solutions. Although Leiva's writing is meant for his peers, more casual readers might be heartened to see that among his recommendations for high-level companies are reliance on empathy, curiosity, and macro-management.
As the author writes, "This book is not about using AI faster. It is about designing organizations that scale judgment, trust, and responsibility alongside technology."
Our world is an increasingly AI-driven place, but Leiva shows that, at least in the near future, leaders can build systems that adapt to the strengths of AI without losing the vital human accountability that should always be a marker of business success.