Social media algorithms amplify negativity by optimizing for "revealed preference" (what you click on, e.g., car crashes). AI models, however, operate on aspirational choice (what you explicitly ask for). This fundamental difference means AI can reflect a more complex and wholesome version of humanity.

Algorithms now push content based on its quality and relevance to user interests, not the creator's follower count. A new account can go viral and outperform established ones, creating a true meritocracy.

The feeling of deep societal division is an artifact of platform design. Algorithms amplify extreme voices because they generate engagement, creating a false impression of widespread polarization. In reality, without these amplified voices, most people's views on contentious topics are quite moderate.

Gary Vaynerchuk argues that platforms have evolved beyond a follower-based model ("social media"). Now, algorithms dominate, creating an "interest media" landscape where content is surfaced based on a user's demonstrated interests, regardless of whom they follow. This makes the content itself paramount over follower counts.

Social media algorithms can be trained. By actively blocking or marking unwanted content as "not interested," users can transform their "for you" page from a source of distracting content into a valuable, curated feed of recommended information.

Before generative AI, the simple algorithms optimizing newsfeeds for engagement acted as a powerful, yet misaligned, "baby AI." This narrow system, pointed at the human brain, was potent enough to create widespread anxiety, depression, and polarization by prioritizing attention over well-being.

Platforms like TikTok and Instagram no longer primarily show content from accounts you follow. Their algorithms serve content based on demonstrated interests. This means content quality and relevance now trump follower count, leveling the playing field for new creators.

Algorithms increasingly serve content to non-followers based on their interests, not just social connections. To succeed, marketers must shift from engaging existing followers to creating "recommendable" content that appeals to a broader, topic-focused audience.

When social media reach and engagement decline, it's easy to blame the platform's algorithm. However, the more productive mindset is to see it as a reflection of your content's declining quality or relevance. The algorithm isn't hurting everyone, it's hurting those who aren't good. The solution is to improve your craft, innovate, and adapt to cultural trends.