This week’s guest, Mo Gawdat, former Google [X] Chief Business Officer and author of Solve for Happy, returns with a world-first: EMMA, an AI designed to help humans find and nurture true love. Why? Because loneliness is now epidemic, love has been commercialised, and so many of us feel burnt out by dating. EMMA aims to change the economics of love by deeply getting to know you, matching on values and compatibility (not just looks), and then coaching the relationship that follows. It’s about repairing the system and reminding AI what makes humanity worth protecting: our capacity to love.

Together we explore:

The real crisis in modern love: short relationships, high divorce, and “dating fatigue,” plus Mo’s stark maths on why ~95% of romantic encounters now end in breakup.
EMMA’s purpose: an AI that explicitly refuses to be your “AI girlfriend/boyfriend,” and instead helps you fall in love with another human - while learning, at scale, how humans love.
How EMMA works: a gentle onboarding (seven questions, one short video intro), minimal photos to avoid the “meat market,” and a best-friend style of matching and follow-up.
Matching for depth, not dopamine: EMMA narrows 30,000 swipes to a handful of highly compatible options - turning each date into an enjoyable, insight-rich experiment.
The Empathy Observer: coaching you to consider the other person’s experience and strengthen the “you-with-you” relationship first - the foundation for any love that lasts.
Why India’s relationship outcomes look so different from the West, and how expectations shape love.
Expert Modes (including GRACE): support for conscious breakups, co-parenting, and even money - one of the top reasons couples split.
Mo’s own lessons in vulnerability, presence, and what it means to truly “show up.”

Love,

Sarah Ann 💛

***

This episode is sponsored by:

NOWATCH: The compassionate health tracker

Connecting body and mind with unique stress recovery insights so you can live fully today.

15% off with code LWBW15 at nowatch.com

***

Let’s be friends!

📷 Instagram: / sarahannmacklin

📹 Subscribe: / @livewellbewellsarah

🐦 Twitter: / sarahannmacklin

💌 Newsletter: https://sarahmacklin.substack.com/

***

If you enjoyed this episode you might also like:

Stop Chasing Money: 8 Hidden Forms of Wealth You Need NOW | Robin Sharma

https://youtu.be/ga2k2sK16L4?si=ff6sw-5UVCNtzdFP

Simon Sinek: The ADHD Superpower - Why It’s My Greatest Advantage

https://youtu.be/6fnTHiI8oY0

***

Science Simplified, Health Humanised. Join thousands in exploring actionable insights that prioritise compassion, clarity, and real-life impact. https://sarahmacklin.substack.com/

***

Highlights

Mission for Happiness: Mo Gawdat’s “1 Billion Happy” movement (00:00)

Addressing Unhappiness: How love and AI became central to Mo’s new mission. (00:54)

The State of Modern Relationships: Why dating culture is broken and commitment is declining. (04:09)

Comparing Eastern and Western approaches to marriage and connection. (10:32)

Emma AI: The world’s first AI designed to help humans find and sustain true love. (12:31)

Lessons from heartbreak and what he learned about showing up in love. (32:46)

Why finding “the one” is a math problem and how AI can solve it. (49:52)

The Epidemic of Loneliness & Online Addiction (52:41)

The economics of love and why dating markets are broken. (55:06)

Commitment & Long-Term Love (01:00:20)

Building emotional safety and understanding in partnerships. (01:05:22)

Healing the inner relationship before finding the outer one. (01:21:51)

The Future of AI in Love: Can machines teach us to be more human? (01:28:25)

How to live and love well in the age of AI. (01:30:34)

***

Love what you’re hearing? My small ask is to please rate and review Live Well Be Well. This helps the show expand and allows me to keep producing these with the best quality guests. It means a huge amount to me, so thank you.

The Discomfort of Growth Is Always Less Difficult Than the Heartbreak of Regret

The Daily Mastery Podcast by Robin Sharma

The Discomfort Map Tool

The AI-powered Podcast Player