Before You Tell AI Your Story

Before you tell AI your story, it’s worth asking: Who owns that information, and what happens to it next?

In Episode 13 of 100 Stories, Paige Williams sits down with AI leader, author, entrepreneur, and Equis AI CEO Sandy Carter to explore the stories shaping our relationship with artificial intelligence.

Sandy has spent her career at the forefront of technology and leadership, including executive roles at IBM and Amazon. In this conversation, she explains why narrative matters not only to individuals, but to organizations trying to make decisions in a world changing at AI speed.

They explore:

Why the stories we tell about AI affect whether people adopt or resist it

Why hands-on experience can change someone’s perception of a technology

The fear that “AI is coming for my job”

Why unfamiliar AI language can make people feel technology is not for them

What Sandy learned from Amazon about turning leadership principles into lived culture

Why sharing failure can build learning and trust

The responsibility technology leaders have for privacy and human impact

What AI may be missing without lived human experience

Why judgment and context still matter when AI gives us an answer

What Narrative Intelligence might look like inside a company

One of Sandy’s most important contributions to the inquiry is the idea that a narrative cannot simply sit on a wall. It has to be lived through the choices people make every day.

And in an AI world, another question becomes increasingly urgent:

If AI gives you an answer, what helps you decide whether to follow it?

100 Stories: The Narrative Intelligence Project explores one central question:

How malleable are the stories we live by, and what does it take to change one?

Take the Narrative Quotient assessment at StoryKeys.co and subscribe to follow the full 100 Stories inquiry.