Historically, we trusted technology for its capability—its competence and reliability to *do* a task. Generative AI forces a shift, as we now trust it to *decide* and *create*. This requires us to evaluate its character, including human-like qualities such as integrity, empathy, and humility, fundamentally changing how we design and interact with tech.

Don't view generative AI video as just a way to make traditional films more efficiently. Ben Horowitz sees it as a fundamentally new creative medium, much like movies were to theater. It enables entirely new forms of storytelling by making visuals that once required massive budgets accessible to anyone.

In the AI era, a creator's job will evolve from producing content to architecting their community's digital ecosystem. This involves tweaking a custom algorithm to guide AI-generated content, ensuring it aligns with the community's values and delivers specific, positive outcomes for members.

Upcoming tools like Sora automate the script-to-video workflow, commoditizing the technical production process. This forces creative agencies to evolve. Their value will no longer be in execution but in their ability to generate a high volume of brilliant, brand-aligned ideas and manage creative strategy.

Generative AI allows any marketer to quickly produce mediocre content. This saturation makes buyers more discerning and creates a significant opportunity for brands that invest in genuinely excellent, insightful content to stand out and build trust. Quality, not quantity, becomes the key differentiator.

By natively embedding a full suite of AI tools for video generation, editing, and ideation, TikTok is evolving beyond a content distribution platform. It is becoming a self-contained creation engine, reducing creator reliance on third-party apps and positioning itself to challenge YouTube's dominance.

The OpenAI team believes generative video won't just create traditional feature films more easily. It will give rise to entirely new mediums and creator classes, much like the film camera created cinema, a medium distinct from the recorded stage plays it was first used for.

While GenAI continues the "learn by example" paradigm of machine learning, its ability to create novel content like images and language is a fundamental step-change. It moves beyond simply predicting patterns to generating entirely new outputs, representing a significant evolution in computing.

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.