The following is a guest post and opinion from Adrián Garelik, CEO and Co-Founder of Flixxoo
Algorithms manufacture taste. That’s efficient for retention, but brutal for creators who live and die by an opaque feed. Surveys show widespread burnout and rising skepticism about AI-mediated media—yet we keep optimizing for the metric while sidelining the maker. It’s time to rebuild the rails with peer-to-peer distribution and transparent, tokenized economics so that creators can fully own their reach.
Over the past 15 years, video streaming has been reshaped by recommender systems. YouTube’s watch-time algorithm pioneered the model. Netflix refined it with big-data analytics to maximize binge-watching. TikTok, Instagram Reels, and YouTube Shorts perfected it by capturing every micro-interaction—like swipes, pauses, and skips—as inputs to optimize retention.
This precision has a cost. Algorithms now actively mold user preferences. Behavioral research shows that repeated exposure and reward cycles condition viewing habits. Content is no longer pushed for depth or creativity. Engagement rules, favoring sensational hooks over nuanced storytelling.
For creators, the algorithm acts as a gatekeeper. Success depends less on originality and more on conforming to opaque signals: hook length, posting cadence, retention thresholds. Surveys indicate that the pressure to “play the feed” drives widespread burnout.
The economic impact is equally stark. Large studios, armed with IP-driven franchises, dominate platform distribution, while mid-tier creators struggle for visibility. Quantity is rewarded over quality, leading to a homogenized landscape with limited room for experimentation.
Without transparent curation, the risk is twofold: creators lose visibility, and audiences face a collapsing signal-to-noise ratio.
Platforms optimized for retention; the challenge now is to optimize for ownership. By combining peer-to-peer infrastructure with tokenized incentives, we can rebuild distribution, monetization, and governance on foundations that prioritize creator resilience.
Governance also changes in decentralized systems, where token-weighted voting and community curation give audiences a role in shaping discovery and moderation. This transfers power from unilateral platform decisions to shared governance.
The future of the creator economy hinges on whether we continue optimizing for short-term engagement, or rebuild systems that prioritize ownership and creative depth.
If distribution and revenue primitives remain centralized, creators will keep fixing for feed instead of creating for people. But if we decentralize the rails, creators can reclaim autonomy, audiences can discover content beyond the algorithm, and storytelling can regain its cultural significance.
If the last decade was about engineering engagement, the next must be about engineering ownership.
