Modern algorithms can surface any single piece of content to a massive audience of non-followers, regardless of past performance. This means marketers are always just one breakout post away from significant reach, making consistent experimentation more important than ever.

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.

The value of a large, pre-existing audience is decreasing. Powerful platform algorithms are becoming so effective at identifying and distributing high-quality content that a new creator with great material can get significant reach without an established following. This levels the playing field and reduces the incumbent advantage.

Due to the "TikTokification" of platforms, algorithms now favor a single piece of content's potential to engage anyone, regardless of who created it. This means sticking to a strict niche is no longer required for high views and reach, though it remains important for gaining followers.

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.

Since algorithms no longer show every post to every follower, the risk of "overposting" has vanished. This creates a free opportunity for marketers to test large volumes of organic content at scale to identify potential viral hits before committing ad spend.

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.

The algorithmic shift on platforms like Instagram, YouTube, and Facebook towards short-form video has leveled the playing field. New creators can gain massive reach with a single viral video, an opportunity not seen in over a decade, akin to the early days of Facebook.

The founder of Stormy AI argues large influencers are in trouble because social algorithms no longer guarantee reach based on follower count. Viral potential is now decoupled from follower count, meaning a nano-influencer can achieve massive views. This makes them a more cost-effective and potent marketing channel for brands than established stars.