The Copy-Paste Vision: Why AI-Driven Strategies Are Making Businesses Look Identical

"If this fails, I could lose my job."

That wasn't a dramatic line from a Hollywood screenplay.

It was the very real fear of Netflix's Chief Content Officer, Ted Sarandos.

Around 2011, Netflix stood at a crossroads. It had built a successful streaming platform by licensing movies and television shows from major studios. The business model was working. The numbers looked promising. The data supported staying the course.

Then came an audacious proposal.

Instead of merely distributing content, Netflix would become a creator.

The company committed nearly $100 million to produce House of Cards - not after a successful pilot episode, not after audience testing, but before a single frame had been shot.

There were no ratings to analyse.

No historical benchmarks.

No guarantee that audiences would accept Netflix as a studio.

Years later, Sarandos admitted he genuinely believed the decision could cost him his job if it failed.

The gamble changed the entertainment industry forever.

Today, when people discuss Netflix's success, they often credit its powerful algorithms and recommendation engine.

But algorithms didn't create Netflix Originals.

Leadership did.

Data helped identify an opportunity.

Conviction transformed it into history.

And that distinction has never been more important than it is today.

The Age of Perfect Predictions

For the first time in business history, leaders can ask artificial intelligence almost anything.

• Which customer segment is growing fastest?
• Which product category will gain momentu…