Things are shifting.

The conversation around AI in film has moved past "should we?" to "how are we?"

Let's break it down.

That's the AI paradox hiding in your CX stack. Tickets close. Customers leave. And most teams don't see it coming because they're measuring the wrong things.

Efficiency metrics look great on paper. Handle time down. Containment rate up. But customer loyalty? That's a different story — and it's one your current dashboards probably aren't telling you.

Gladly's 2026 Customer Expectations Report surveyed thousands of real consumers to find out exactly where AI-powered service breaks trust, and what separates the platforms that drive retention from the ones that quietly erode it.

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Soderbergh's documentary is built around a three-hour interview John Lennon and Yoko Ono.

The 90-minute film is roughly 90% archival stills.

But there are about 10 minutes where Lennon and Ono go deep into philosophy.

Talking about peace, art, the future, and there's simply no visual material that matches those ideas.

So Soderbergh used AI to generate what he calls "thematically surreal images" that "occupy a dream space rather than a literal space."

Why this matters: When a filmmaker of Soderbergh's calibre adopts a tool, it's not hype - it's a signal.

He's not replacing anyone on his crew. He's using AI to create visuals that literally couldn't exist otherwise. That's the difference between replacement and expansion.

In March, Netflix acquired InterPositive, Ben Affleck's stealth AI filmmaking startup, for up to $600 million.

The company had been operating in secret since Affleck founded it in 2022, backed by RedBird Capital Partners.

InterPositive is a post-production tool.

A director shoots a film normally, then the software trains on that footage and helps with things like removing stray items from scenes, adjusting backgrounds, fixing incorrect lighting.

These are normally the tedious, expensive work that currently eats up weeks and millions in post.

Their first AI model was trained to understand "visual logic and editorial consistency" while preserving cinematic rules. Think of it less as "AI making movies" and more as "AI handling the cleanup so humans can focus on the creative decisions."

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