Story First, AI Second: Freepik's CEO on Creativity, Copyright Risk, and Training on Licensed Content

AI can crank out visuals, but story and ownership still decide who gets attention. Use tools for speed, keep humans on voice, and stick to licensed inputs with a clean paper trail.

Categorized in: AI News Creatives
Published on: Nov 11, 2025
Story First, AI Second: Freepik's CEO on Creativity, Copyright Risk, and Training on Licensed Content

AI Images Are Everywhere. Stories Still Win.

AI can spit out visuals in seconds. But without a story, no one cares. That's the blunt truth Joaquin Cuenca, CEO and co-founder of Freepik, keeps pushing: AI is great for inspiration, weak on narrative.

Freepik has moved from a stock site to a full AI creative suite. Their stance is simple: let AI speed up ideas, keep humans in charge of meaning and emotion.

The Human Element Is the Moat

Marketing and design live or die by context. You can get a stunning frame, but if it doesn't connect, it scrolls past. Cuenca's take matches what creators are saying on X: visuals are peaking; attention now follows story and clarity.

Freepik's tools help with ideation and iteration, while encouraging human oversight. That's the balance-AI for volume, you for voice.

Copyright Rules Are Tightening

Legal pressure is rising. The U.S. Copyright Office has signaled that AI outputs without meaningful human input likely won't get protection. If you want ownership, you have to add real creative choices.

Some governments are pulling the brakes on free data scraping. Australia pushed back on proposals that would open creative works to AI training without consent. Cuenca called unlicensed data a "copyright nightmare" for a reason.

Freepik's approach: train on licensed content and give users confidence for commercial use. If you publish, that matters.

U.S. Copyright Office: Policy work on AI
Freepik Support: Licensing and AI-generated resources

AI's Limits (And Why That's Good News for Creatives)

Originality, ethics, and legal clarity are still pain points. Even Cuenca admitted AI hasn't killed stock imagery; it just changed how people use it. Tool reviews point to practical constraints too-daily caps, pricing tiers, and usage limits that force smart planning.

Courts are active. By late 2025, dozens of cases have pressed on fair use and training data transparency. The message: keep your pipeline clean.

Best Practices: Make AI Serve Your Story

  • Start with the narrative: audience, promise, and payoff. Then storyboard visuals.
  • Use AI for moodboards, variations, and concept art-keep final edits human.
  • Stay on licensed rails: prefer platforms that train on cleared content.
  • Keep a rights log: prompts, sources, licenses, and final files.
  • Avoid trademarks, celebrity likeness, or brand confusion without permission.
  • Edit for clarity and emotional tone. One strong idea > twenty pretty frames.
  • Test with a small audience. If they can't retell your story, it's not clear enough.
  • Budget for tool limits and credits. Speed is useless if costs erase margin.

Your Practical Tool Stack

Use Freepik AI for licensed image generation, Runway-type tools for motion tests, and a solid editor for final polish. Pick tools that fit your workflow and keep legal friction low. Flashy demos are fun; shippable assets pay the bills.

IP, On-Chain Licensing, and What's Next

Creators on X are watching projects like Story Protocol that promise clearer licensing for training and remixing. If standardized, this could make collaboration and monetization cleaner across platforms.

Until then, the safest edge is simple: write better stories, use licensed inputs, document everything.

If You're Leveling Up Your Skill Set

Stay current on AI craft, business models, and IP basics. Curated programs for creative roles can save months of trial and error.

Explore AI courses by job at Complete AI Training

The Takeaway

AI can flood the feed. You win by making work people feel-and by keeping your process legally clean. Story first, rights in order, tools on tap.


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