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By analyzing crowd behavior with sensors at music events, Mykhailo's team used generative AI to dynamically create music targeting disengaged attendees. This covertly boosted overall crowd engagement from approximately 60% to nearly 90%, demonstrating a powerful application for modulating group emotion and attention.

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Brands can leverage generative AI to move beyond passive consumption and invite fans to co-create. By building in brand guardrails (e.g., protecting logos, setting design parameters), companies like Gatorade have successfully launched activations that let users generate their own brand-aligned content, deepening engagement and participation.

As AI makes digital content infinitely scalable, real-world, in-person interactions become scarce and therefore more valuable. Businesses focused on live events can leverage this trend by positioning their offerings as an antidote to digital fatigue, fulfilling a fundamental human need for connection.

Contrary to fears that AI would devalue events, it has amplified their importance. As digital spaces become saturated with AI-generated content, conferences and meetups are becoming the primary venue for authentic human interaction, original ideas, and building genuine trust.

As AI makes it trivial to generate synthetic content, consumers are increasingly seeking out formats that are difficult to fake. This is fueling a resurgence in live streaming and in-person communal events, which are perceived as more authentic and inherently human.

The dominance of passive, playlist-based music consumption is creating an audience primed for AI-generated content. As fewer listeners actively engage with artists and more treat music as background noise, the barrier for AI music to gain acceptance shrinks significantly.

The next evolution of media blurs the line between movies and video games. Using real-time AI generation, viewers can influence the plot, similar to Netflix's "Bandersnatch." This dramatically increases engagement and replay value for the same piece of content, creating a strong business case.

AI music's primary value isn't just as a professional tool. Suno's CEO explains its success comes from attracting users with a novel party trick (e.g., a funny one-off song) and then retaining them through the unexpectedly joyful and engaging experience of making music.

AI tools enable "vibe coding," where you describe a desired outcome or feeling (e.g., "make the crowd go wild") rather than technical specifications. This decouples taste (what you want) from skill (how to make it), opening creative fields to non-experts.

The trend of AI-generated parody songs represents a fundamental shift in content interaction. Instead of searching for existing music, users can now instantly create songs tailored to a specific mood, joke, or context. This democratization of music production effectively turns listeners into creators on demand.

As part of an art project, Mykhailo Marynenko used an EEG helmet on performers to capture their visual cortex activity in real-time. An AI model then translated these brain signals into images, projecting the artist's imagination onto a stage for the audience to witness during the performance.