Marcus Buckingham: Why Work Sometimes Does, Indeed, Love Us Back
Hosted by Andrew Keen, Keen On features conversations with some of the world’s leading thinkers and writers about the economic, political, and technological issues being discussed in the news, right now.
In this episode, Andrew is joined by Marcus Buckingham, author of Love and Work: How to Find What You Love, Love What You Do, and Do It for the Rest of Your Life.
For over twenty-five years, Marcus Buckingham has been the world's leading researcher on strengths and human performance, as well as an entrepreneur, founding the strengths-based leadership development firm The Marcus Buckingham Company. He began his career at Gallup and was the cocreator, with Donald O. Clifton, of StrengthsFinder. He is the New York Times bestselling author or coauthor of ten books, including First, Break All the Rules; Now, Discover Your Strengths; StandOut 2.0; and Nine Lies About Work. He is currently Head of People + Performance Research at the ADP Research Institute.
Burning Down The House: Do The Talking Heads Still Matter?
Why Being a 'Good Woman' Is Making Women (and Men) Miserable
The Haves and The Have-Yachts: Evan Osnos Explores the Minds of the Ultrarich
The Vampire Economy: How Private Equity is Sucking the Blood out of the American Dream
The Company That Ate the Web: Google's Quarter Century Journey from Bridge Builder to Web Destroyer
Long Live the NO KING: An Anti-Fascist Handbook on How to Resist Trump
An Existential Threat to American Freedom: Spike Cohen on Donald Trump's Betrayal of Libertarianism
American Fascism: If You Close Your Eyes It Won't Go Away
Postmodern Patrimonialism: Trump's Everything-Everywhere-All-At-Once Strategy as a Venture Capital Model of Politics
Beyond Left and Right: The Libertarian Vision of Freedom in America
The Empire Strikes Back: Karen Hao on OpenAI as a Classic Colonial Power
We Get the Non-Fiction We Deserve: From AI Empires to Wokeness Critiques to a Year Without Sex
Everything Is Possible, Nothing Is Inevitable: Why AI Might Be the Ultimate Scarcity Trap