Perhaps the biggest shift in 2017 was the move from "broadcasting" to "narrowcasting." Media companies began utilizing deep-learning algorithms to ensure that the content served to you was hyper-specific to your tastes.
Here is an exploration of how the entertainment and media sectors evolved during this pivotal era and what it means for the content we consume today. 1. The Rise of "Always-On" Media
The media landscape of late 2017 set the stage for the "Creator Economy" we see today. It proved that convenience, personalization, and portability are the three pillars of modern entertainment. As we move further into the era of AI-generated media and the metaverse, the lessons of 2017—prioritizing the user's immediate access and emotional connection—remain more relevant than ever.
In the 24/12/17 era, media was no longer a single-stream experience. To be successful, entertainment had to live across multiple touchpoints:
Producers began using viewer data to decide which shows to greenlight, leading to a more "guaranteed" but sometimes less experimental media diet.
By late 2017, the concept of "appointment viewing" was effectively dead. The industry shifted toward a , where 12 months a year, 17 hours a day (the average waking hours for many consumers), content had to be available.
Fans weren't just viewers; they were participants. Live-tweeting, Reddit theories, and YouTube "reaction" videos became an essential part of the media ecosystem. 3. Personalization and the Algorithm