Generative AI tools like OpenAI's Sora face a huge hurdle in becoming content consumption platforms. Users inherently want to post their creations where the audience already exists (TikTok, Instagram, X), making it incredibly difficult for a new, single-tool platform to gain critical mass.

Today's dominant AI tools like ChatGPT are perceived as productivity aids, akin to "homework helpers." The next multi-billion dollar opportunity is in creating the go-to AI for fun, creativity, and entertainment—the app people use when they're not working. This untapped market focuses on user expression and play.

The obvious social play for OpenAI is to embed collaborative features within ChatGPT, leveraging its utility. Instead, the company launched Sora, a separate entertainment app. This focus on niche content creation over core product utility is a questionable strategy for building a lasting social network.

First-generation prompt libraries failed because they weren't integrated into a user's workflow. The winning model won't be a library but a standalone, social AI product that you use *instead* of ChatGPT, with an integrated feed for discovering and applying new techniques.

The massive investment in AI is driven by the belief that one company will create the dominant personal assistant. Like search or social media, network effects from embedded personal context (emails, conversations) will likely create a winner-take-all market.

The next frontier for AI isn't just personal assistants but "teammates" that understand an entire team's dynamics, projects, and shared data. This shifts the focus from single-user interactions to collaborative intelligence by building a knowledge graph connecting people and their work.

Human intelligence leaped forward when language enabled horizontal scaling (collaboration). Current AI development is focused on vertical scaling (creating bigger 'individual genius' models). The next frontier is distributed AI that can share intent, knowledge, and innovation, mimicking humanity's cognitive evolution.

Today, most AI use is siloed, with individuals prompting alone. The real value is unlocked when AI becomes a team sport, with specialists building systems that are shared, iterated upon, and used collaboratively across the entire organization.

The next generation of social networks will be fundamentally different, built around the creation of functional software and AI models, not just media. The status game will shift from who has the best content to who can build the most useful or interesting tools for the community.