Instead of 'renting' influence from human creators, companies should build proprietary AI-generated virtual influencers. This AI persona becomes an ownable asset and a competitive moat, providing consistent and controllable brand representation without the high costs and risks of human influencers.

The 'uncanny valley' is where near-realistic digital humans feel unsettling. The founder believes once AI video avatars become indistinguishable from reality, they will break through this barrier. This shift will transform them from utilitarian tools into engaging content, expanding the total addressable market by orders of magnitude.

Instead of a complex 3D modeling process for Comet's onboarding animation, the designer used Perplexity Labs. By describing a "spinning orb" and providing a texture, she generated a 360-degree video that was cropped and shipped directly, showcasing how AI tools can quickly create high-fidelity, hacky production assets.

Most generative AI tools get users 80% of the way to their goal, but refining the final 20% is difficult without starting over. The key innovation of tools like AI video animator Waffer is allowing iterative, precise edits via text commands (e.g., "zoom in at 1.5 seconds"). This level of control is the next major step for creative AI tools.

Not all AI video models excel at the same tasks. For scenes requiring characters to speak realistically, Google's VEO3 is the superior choice due to its high-quality motion and lip-sync capabilities. For non-dialogue shots, other models like Kling or Luma Labs can be effective alternatives.

Like AI coding assistants for engineers, tools like Hera will not eliminate motion designers. Instead, they automate tedious 'pixel-by-pixel' execution. This frees designers to focus on high-level creativity, strategy, and overall vision, shifting their role from pure execution to creative direction.

Hera's core technology treats motion graphics as code. Its AI generates HTML, JavaScript, and CSS to create animations, similar to a web design tool. This code-based approach is powerful but introduces the unique challenge of managing the time dimension required for video.

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.

Business owners and experts uncomfortable with content creation can now scale their presence. By cloning their voice (e.g., with 11labs) and pairing it with an AI video avatar (e.g., with HeyGen), they can produce high volumes of expert content without stepping in front of a camera, removing a major adoption barrier.