Social media has also proven to simply not be that efficient in terms of matching high quality content with a relevant audience. Just because people can easily distribute content to their friends or friends of friends doesn’t mean that that content will be interesting or relevant to the consumer. This is why, over time, social networks have started... See more
The question is not whether algorithms can ever foster greatness—they cannot. Their design is fundamentally at odds with the qualities that define great art: depth, complexity, and the capacity to provoke discomfort or transformation. The question is whether we, as creators and consumers, are willing to resist their influence.
In recommendation media, content is not distributed to networks of connected people as the primary means of distribution. Instead, the main mechanism for the distribution of content is through opaque, platform-defined algorithms that favor maximum attention and engagement from consumers. The exact type of attention these recommendations seek is... See more
Recommendation media is here. As a result, we’ll make fewer explicit choices (“these are my friends”) and more implicit choices (“this is where the algorithm recommends I should spend my attention”) about how, when, and why we consume content. In the near term, we may not notice much of a difference, but it’ll be fascinating to look back a few... See more
However, in the meantime, the new media strategy is AI-empowered creators as the face of the brand, with relatively few staff building out bundled product offerings. Email moves from the strategy to just another tool. The future is owning relationships with audiences—and serving as many of their media and software needs as possible.