Priyanka Vergadia

Her AI tool is telling her to post fashion hack videos, those videos where you get a lot of fashion tips out for one of the brands.

And she did that, and they saw great engagement, lots of follower growth.

But when talking to the team, they identified that none of that follower growth and engagement on social media was leading to sales or revenue.

They were building the wrong audience.

They were attracting bargain hunters that was exactly opposite of the person who would pay $200 to buy an ethically made jacket.

This was what this brand makes.

Now, AI was optimizing for followers and engagement.

Priya knew that they were making the wrong audience, so she flips the switch.

She stops taking AI-recommended content, instead starts building content that is showing sustainable cost of building these fashion items.

She started showing stories of artisans that were making these clothes.

Now, AI in this case was optimizing for activity and engagement.

TRIA optimized for building a community.

And they started seeing the sales skyrocket.

So the lesson that we learn here is always pause and ask, what is the story behind this data?

And only we can do that.

So if you see all these examples, there's one thing very common.

The future doesn't belong to humans or AI.

It belongs to humans that work closely with AI while staying irreplaceably human.

Our ability to read the room, our ability to look at emotions,

That is irreplaceable.