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AI Video Generation: Why It’s Not Ready for Movies — But Perfect for Deepfakes



I’ve been following AI advancements closely, and while I’m amazed by what AI video generation can do, I also see its limits very clearly. Many people are hyping AI tools as if they can already replace filmmaking or create professional movie scenes. From my perspective, we’re nowhere near that point yet.

Instead, most of the progress I see is being misused — not in making cinema, but in making deepfakes.

AI Video Is Still Too Raw for Real Filmmaking

Yes, AI can generate short clips, animations, or even realistic faces. But let’s be honest — when it comes to full movie scenes, it simply isn’t ready.

Here’s why:

  • Lack of Consistency: Characters don’t stay consistent across frames or shots. A face can morph, clothes can shift, and body proportions can change randomly.

  • Poor Control: Filmmakers need precision — the exact expression, camera angle, or lighting. With AI, it’s still a gamble.

  • Weak Storytelling: Movies aren’t just visuals; they’re driven by emotion, pacing, and human direction. AI can’t “feel” a story yet.

  • Technical Artifacts: Glitches, distorted hands, flickering eyes — things that immediately break immersion.

For now, directors and editors can’t rely on AI for polished scenes. At best, it’s a rough visualization tool, not a filmmaking engine.

But Deepfakes? That’s Where It’s Exploding

On the other hand, AI video tools are becoming alarmingly good at creating deepfakes. That’s where most of the technology is being applied right now:

  • Swapping faces onto actors in old clips.

  • Creating fake speeches or interviews.

  • Misusing celebrities’ images without consent.

  • Spreading misinformation online.

Unlike filmmaking, deepfakes don’t demand perfect consistency or long storytelling. They just need a short, convincing clip — and AI can already deliver that.

This is why I see more AI videos on YouTube, TikTok, or shady platforms using celebrity faces than I do genuine, creative filmmaking projects.

The Risk of Misuse Is Bigger Than the Promise

I don’t want to sound negative — I believe AI has huge potential in media. But right now, the balance is skewed.

  • Creative industries can’t yet make full movies with AI.

  • Meanwhile, bad actors are using the same tools to mislead, exploit, and profit.

Until AI can be better regulated and its technology matured for filmmaking, I see it as a tool more associated with deepfakes than cinema.

Where AI Video Could Actually Help

Even though I don’t think AI can make a feature film yet, it does have real uses for creators:

  • Storyboarding: Quick drafts of how a scene might look.

  • Visual Experiments: Trying out concepts that would be expensive to shoot.

  • Background Elements: Non-essential, stylized visuals to support real footage.

But the core of storytelling — actors, emotions, and direction — still belongs to humans.

My Takeaway

From my perspective, AI video generation is overhyped for filmmaking but underrated in its risks. Instead of celebrating “AI-made movies,” we should be focusing on how to stop its misuse in deepfakes.

Until AI can actually carry a story, respect actors’ rights, and give directors full creative control, it won’t replace real cinema. Right now, it’s just a tool — and unfortunately, one that’s being used more for deception than for art.


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