Looking forward, the next inflection point for entertainment content and popular media is Artificial Intelligence. We have already moved past "recommendation engines." Generative AI (like Sora, Runway, and ChatGPT) is now producing scripts, voiceovers, and video clips.
Soon, popular media will be fully personalized. Imagine watching a rom-com where the algorithm scans your face in real-time via your smart glasses and changes the love interest's hair color to your "type." Imagine a video game where the NPCs (non-player characters) speak to you in fluid, unrehearsed dialogue generated on the fly. We are moving from "on-demand" content to "real-time generated" content. Wicked.24.02.09.Valentina.Nappi.Phantasia.XXX.2...
Augmented Reality (AR) will pull us out of our phones and back into the physical world, but layered with digital information. A walk down the street might become an interactive narrative where digital characters interact with storefronts. The screen will disappear, and the world itself will become the medium. Looking forward, the next inflection point for entertainment
Where is entertainment content headed over the next decade? Three major shifts are on the horizon. Imagine watching a rom-com where the algorithm scans
The economics of popular media have been turned upside down. The "Streaming Wars" (Netflix vs. Disney+ vs. Amazon Prime vs. Max) have led to an unprecedented glut of content. In 2023 alone, over 500 original scripted series were released in the United States. This is the "Peak TV" era.
However, abundance creates a paradox: choice paralysis. When a viewer has access to 10,000 movies, picking one becomes stressful. Consequently, algorithms have taken the wheel. We no longer "choose" media as much as we consent to the algorithm's suggestion. This has led to the homogenization of aesthetics. Because machine learning models reward completion rates and "thumbs up" clicks, studios now produce content that fits neatly into algorithmic boxes. We see the rise of the "algorithmic genre"—shows that feel like a blend of Stranger Things and Black Mirror because data proved that combination retained viewers.