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The School of Greatness

Simon Sinek: The Dangerous Myth of Online Vulnerability & Rethinking Capitalism

The School of Greatness

Lewis Howes

Mindset, Relationships, Entrepreneurship, Mental Health, Education, Greatness, Fitness, Celebrity, Health, Inspiration, Success, Health & Fitness, Self-improvement, Business, Money, Self Care, Celebrity Interview

4.822K Ratings

🗓️ 6 March 2026

⏱️ 91 minutes

🧾️ Download transcript

Summary

What if the biggest threat to your relationships, your career, and your sense of self-worth has nothing to do with AI, pandemics, or politics but with how you measure a good day? Simon Sinek breaks down why the metrics you are using to judge your life are steering you in the wrong direction and what to replace them with.

Transcript

Click on a timestamp to play from that location

0:00.0

One of the things I love about you is how intelligent you are and also vulnerable you are.

0:09.6

And I think that's a rare combination because usually people lean one way or the other,

0:13.4

but you're really great at mixing both of them.

0:16.5

Oh, thank you.

0:17.4

And I wanted to ask you a question that I think has been an interesting conversation,

0:22.7

specifically in the last three to six months.

0:25.0

That includes relationships, work, AI, and leadership.

0:31.9

Okay.

0:32.5

There's been a lot of, in my opinion, distractions over the last few years.

0:36.9

Of all the new shiny things that come

0:39.1

out that are available for us at work, at home, and in relationships. And I'm curious, with everything

0:47.2

that you've seen in the last few years, all the different distractions that have come out in life,

0:53.2

where do you see intimacy and relationships

0:57.1

personally and also professionally in the workplace as AI starts to evolve in everywhere?

1:07.8

So let's just take one step back.

1:17.1

The concept of AI is not new.

1:19.5

It's an algorithm.

1:22.5

And our lives since the early days of the internet have been governed by algorithms.

1:28.6

Yes.

1:29.1

Right?

1:30.2

What's an algorithm?

1:31.7

Let's start there.

...

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