Setting Low Expectations to Solve the Happiness Equation

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If you have low expectations, I'm always going to exceed them. A billion happy is not a target; it's the reason I wake up in the morning. The design of one billion happy was simply if every person tells two people about what they learned and then promise, make them promise to tell two people each,. Then we've built an inverse comp, a Ponzi scheme. Within seven years, we're rich, a billion happy. And that's been the mission.

In this episode, Peter and Mo discuss happiness, how to achieve it, and how AI will play a role in our future of Abundance.

You will learn about:

01:00 | AI: A Benefit or a Threat?
52:44 | Setting Ambitions for Happiness
01:52:25 | AI: Nurtured By Us Human

Mo Gawdat is a renowned entrepreneur, author, and advocate for happiness and well-being. With a background in engineering and technology, Gawdat has dedicated his career to exploring the intersection of happiness and human potential. As the former Chief Business Officer at Google [X], he played a pivotal role in developing moonshot projects aimed at solving some of the world's biggest challenges. Gawdat's insightful and transformative book, "Solve for Happy," has inspired countless individuals to reframe their perspectives and find joy in life's most challenging moments.

Read Mo’s best-selling books.

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