New leak reveals Google is testing AI video creation for Gemini

The field of AI-powered video generation is evolving rapidly as major tech companies develop increasingly sophisticated tools for creating realistic video content from text and images. Google’s Gemini app, which currently offers text-to-image generation capabilities, appears to be expanding into video creation territory.

Key developments: Google is internally testing new AI video generation features for its Gemini application, with code discoveries suggesting significant expansion of the platform’s creative capabilities.

• Hidden code references in the latest Google app version reveal “robin,” an internal codename for Gemini-powered functions, including new video generation features
• The code contains interface elements related to video processing, such as status messages indicating when content will be ready
• These features remain in testing and have not yet been publicly released

Technical capabilities: Google’s existing AI video technology portfolio suggests several possible implementations for Gemini’s video generation features.

• Veo 2, Google DeepMind’s advanced text-to-video and image-to-video AI model, could be integrated into Gemini
• The platform currently uses Imagen 3 for still image generation, making video generation a natural next step
• High-quality AI video generation typically requires substantial computing resources, which may impact how the feature is implemented

Business context: Google’s approach to AI video generation suggests a strategic rollout focused on premium services and business applications.

• Google Vids, a business-focused video creation tool, is currently available through Google Workspace subscriptions
• The platform combines AI-assisted script writing, voice synthesis, and template-based video creation
• Consumer versions of these tools would likely differ significantly from business-oriented implementations

Market implications: The potential introduction of AI video generation in Gemini could significantly impact the accessibility and democratization of video content creation.

• Current high-quality AI video generation is largely limited to paid services
• Open-source alternatives continue to improve but often lag behind proprietary solutions
• Google may restrict its most powerful video generation capabilities to paid subscribers

Future outlook: While Google’s plans to integrate video generation into Gemini remain unconfirmed, the discovery of testing code suggests a calculated approach to expanding AI creative tools for consumers, likely with tiered access based on subscription levels to manage computational demands and monetization strategies.