Napster Accidentally Predicted the Future of Enterprise AI

If you’re old enough to remember Napster, you’ll probably remember two completely different reactions.

Some people thought it was revolutionary.

Others thought it was terrifying.

Either way, almost everyone focused on the music.

Looking back, I think that was the least interesting part.

Napster changed something much bigger.

It changed how people thought about ownership.

Before Napster, owning music meant owning CDs.

After Napster, people started asking a completely different question.

“Do I actually need to own the music…or do I just need access to it?”

Fast forward twenty-five years, and I think enterprise AI is creating a surprisingly similar conversation.

For decades, companies have focused on owning their data.

It made perfect sense.

Protect it.

Back it up.

Control access.

Comply with regulations.

Today, I’m not convinced that’s the only ownership question that matters.

The question I’m hearing more often is this:

Who owns what the AI has learned from that data?

That’s a very different conversation.

Because customer records can be exported.

Contracts can be migrated.

Documents can be copied.

But what about five years of accumulated judgment?

What about the subtle patterns your AI has learned from thousands of negotiations?

The implementation lessons.

The customer behaviors.

The support signals.

The recommendations that became better because they were shaped by millions of interactions.

Who owns those?

Can you move them?

Can another platform inherit them?

Or have you unintentionally built one of your company’s most valuable assets somewhere you don’t actually control?

I don’t think the industry has good answers yet.

But I do think the question is becoming impossible to ignore.

Because we’ve spent decades protecting our information.

The next decade may be defined by how well we protect our intelligence.

And I think that’s a much bigger conversation than AI.

It’s about ownership.