How To Prepare For The Inevitable Future With Artificial Intelligence w/ Mo Gawdat EP 1168 - podcast episode cover

How To Prepare For The Inevitable Future With Artificial Intelligence w/ Mo Gawdat EP 1168

Sep 27, 20211 hr 28 minSeason 1Ep. 1167
--:--
--:--
Listen in podcast apps:
Metacast
Spotify
Youtube
RSS

Episode description

Today’s guest is Mo Gawdat. He is the former Chief Business Officer of Google X; and author of the international bestselling book Solve for Happy. After a long career in tech, Mo has made happiness his primary topic of research, diving deeply into literature and conversing on the topic with some of the wisest people in the world. In 2019, Mo co-founded T0day, an ambitious project that aims to reinvent consumerism for the benefit of consumers, retailers and our planet. He’s written a new book called Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World.

In this episode we discuss what Artificial Intelligence is, the positive ways AI will affect our future, the truth about what we need to be aware of with AI, how to prepare for the inevitable future where AI plays a bigger role in society, and so much more!

For more go to: www.lewishowes.com/1168

Check out Mo's website: https://www.mogawdat.com/

The Wim Hof Experience: Mindset Training, Power Breathing, and Brotherhood: https://link.chtbl.com/910-pod

A Scientific Guide to Living Longer, Feeling Happier & Eating Healthier with Dr. Rhonda Patrick: https://link.chtbl.com/967-pod

The Science of Sleep for Ultimate Success with Shawn Stevenson: https://link.chtbl.com/896-pod


 

 

Get more from Lewis! 

Get my New York Times Bestselling book, Make Money Easy!

Get The Greatness Mindset audiobook on Spotify

Text Lewis AI

YouTube

Instagram

Website

Tiktok

Facebook

X

For the best experience, listen in Metacast app for iOS or Android
Open in Metacast
How To Prepare For The Inevitable Future With Artificial Intelligence w/ Mo Gawdat EP 1168 | The School of Greatness podcast - Listen or read transcript on Metacast