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Human Centered AI | Ep. 010 | Why Netflix is paying $83 billion for the stories we watched before school.

Netflix has led AI in entertainment for over a decade. Personalized thumbnails, recommendation engines, rapid production. They're exceptional at it.

So why spend $83 billion on Warner Brothers Discovery?

Because they noticed something interesting about their own catalog.

Netflix makes series you watch once. Warner Brothers made the ones you watch with your kids because your parents watched them with you.

Emotional compound interest, built over 80 years. That's not a technology problem. It's a time problem. And Netflix decided it was easier to buy than to wait.

This got us thinking about what it means for everyone else.

Warner Brothers didn't have the best AI. They had something AI needed. Decades of stories, characters, and trust that couldn't be built faster with better technology.

Most organizations have a version of this. Customer relationships measured in decades. Institutional knowledge that lives in people, not systems. A reputation earned by showing up consistently.

That's not legacy to modernize away. That's your data. The real kind - built over years, not downloaded. And AI is only as good as what you feed it.

In this episode we explore:

✨ Human value in an AI world - what can't be replicated

✨ Infrastructure reality - the gap between AI's promise and today's reality

✨ Legacy as asset - reframing what "old" means

✨ New roles emerging - how jobs are shifting

✨ Shared responsibility - ethics and safety aren't one person's job

AI multiplies what exists.

So let's ask, "what have you been building all this time that's about to become even more valuable?"

Nappes phréatiques : comment mesurer l'eau invisible ?

La Science, CQFD

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