🎬 AI-Made Hanuman Film Sparks Outrage: Are Creators Becoming Obsolete?

• India’s first AI-generated feature film on Lord Hanuman announced for release in 2026.

• Directed, written, and scored entirely by artificial intelligence.

• Filmmaker Vikramaditya Motwane slams the project, warning it could displace human talent.

• This follows another controversy: an AI-altered re-release of Raanjhanaa, which faced backlash from its original creators.

• Raises the question: Is AI enhancing art, or erasing artists?

• Who: Abundantia Entertainment & Historyverse (production houses)

• What: Chiranjeevi Hanuman – The Eternal, a “Made-in-AI” film

• When: Set to release on Hanuman Jayanti 2026

• Where: Theatrical release across India (and beyond)

• Why: To showcase an “innovative spectacle” blending AI with cultural storytelling

Picture this: You’re scrolling Instagram, sipping chai ☕, and suddenly you see a poster announcing a full-length AI-made film about Hanuman.

Your first reaction? “Whoa, futuristic!”

Vikramaditya Motwane’s first reaction? “And so it begins… Who TF needs writers and directors when it’s ‘Made in AI’.”

💥 That, dear readers, is the sound of an industry bracing for impact.

The upcoming film promises:

• AI-driven scriptwriting inspired by the Ramayana and Puranic texts

• AI-generated visuals designed for a big-screen “spectacle”

• AI-powered music by Trilok, a band that blends traditional rhythms with algorithmic creativity

• A team of 50+ engineers + cultural experts managing the process

Sounds impressive on paper. But here’s the rub:

If AI can do all this, what happens to the humans?

Motwane isn’t anti-tech. He’s anti-monopoly.

Translation: Studios aren’t using AI to be more creative. They’re using it to cut costs.

Fewer writers.

Fewer directors.

Fewer musicians.

➡️ More profit for producers.

And that’s the real danger.

This isn’t the first time AI has stirred the pot in Bollywood.

• In 2025, Raanjhanaa was re-released in Tamil with an AI-generated alternate ending.

• Instead of dying (as in the original), Dhanush’s character magically survived.

• Director Aanand L. Rai and actor Dhanush were furious, calling it a violation of creative integrity.

AI gave audiences a happy ending.

But for the artists? It was a nightmare ending.

Cinema has always been about emotion, not just spectacle.

AI can:

• Write stories.

• Generate scenes.

• Remix music.

• Even predict what audiences want.

But here’s the truth 👉 art isn’t about efficiency.

It’s about soul.

Can algorithms really replicate that? Or are we just trading human artistry for machine-made content?

This isn’t just about movies. It’s about the future of all creative work. Whether you’re a writer, designer, marketer, or entrepreneur—AI is stepping onto your stage too.

Here’s your playbook 👇

• Stay adaptable: Don’t ignore AI—learn how to use it as a tool, not fear it as a rival.

• Invest in irreplaceable skills: Creativity, emotional intelligence, storytelling—things algorithms struggle to mimic.

• Protect your work: Support discussions around copyright, artist consent, and AI ethics.

• Experiment wisely: Use AI to enhance productivity, but never let it dilute your unique voice.

• Engage critically: When consuming AI-made art, ask: Is this innovation, or exploitation?

The AI-film era has officially begun.

The only question left: Will we direct it, or will it direct us? 🎥

At Think Ahead With AI (TAWAI), we believe the future of creativity, leadership, and problem-solving won’t be about humans vs. machines—it will be about humans with machines. The challenge isn’t resisting AI, but reimagining how we can use it to unlock new opportunities, ethical innovation, and inclusive growth.

That’s why we’re launching the Young Global Leaders Lab 🌍—a program designed to equip the next generation of changemakers with:

• Hands-on AI literacy (beyond the hype)

• Ethical decision-making frameworks for an AI-driven world

• Collaborative leadership skills that blend creativity with technology

• Global perspective on how AI impacts culture, policy, and industries

The journey starts here—by creating a safe, future-forward learning space where young leaders can test, experiment, and lead responsibly in the age of AI.

1. Runway ML (Gen-3 / Gen-4)

• What it does: Text-to-video generation, AI editing, motion tracking, and collaborative features. Great for quickly turning scene ideas into visuals.

• Why it matters: Used at high-profile showcases like the AI Film Festival, it enables rapid prototyping of cinematic scenes and concept art.

2. Moonvalley’s Marey

• What it does: A professional-grade video generator tailored for filmmakers. Offers granular control over visuals, frames, and iterations—much like VFX.

• Why it matters: Built ethically using licensed footage and co-designed with filmmakers. It's crafted to support, not replace, human directors.

3. Luma Labs’ Dream Machine

• What it does: A text-to-video AI that produces realistic motion, animations, and concept visuals using simple prompts or images.

• Why it matters: Stands out for smooth animations and has already garnered viral attention for turning images into dynamic films.

4. AIVA (Artificial Intelligence Virtual Artist)

• What it does: AI-powered composer for orchestral/cinematic music. Generates mood-specific scores—epic, emotional, suspenseful—and syncs with video.

• Why it matters: Offers emotion-aware scoring tools like Scene Sync and style training—crucial for elevating a film’s emotional impact.

5. Reelmind.ai Script Generator (with video preview sync)

• What it does: AI scriptwriting that outputs formatted screenplays and pairs them with instant AI animatics/storyboards for preview.

• Why it matters: Enables creators to draft, visualize, and refine scripts rapidly—bridging the gap between prose and visuals.

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Gen. AI Explorer