This topic covers the current landscape of AI video production and emerging 4D/immersive media workflows, spanning ideation, AI-assisted scripting, generative video creation, 3D model generation and production-scale rendering. By late 2025, advances in multimodal foundation models, node-based creative tools and GPU orchestration have made end‑to‑end AI video pipelines practical for creators and teams. Key tools illustrate different parts of the stack: Runway provides an AI‑first platform for generative image and video creation with consumer apps, node‑based Workflows and developer APIs; Google Gemini supplies multimodal generative models and developer services for integrating text, image and video capabilities; Freebeat AI focuses on automated music‑video generation and music creation; VideoIdeas.ai targets ideation and long‑form/short‑form script generation for YouTube workflows. Platforms such as ThinkForce and Anakin.ai emphasize collaborative, no‑code and appified workflows, while Role Model AI covers voice/assistant integration for voice‑enabled media. Run:ai (NVIDIA Run:ai) highlights the operational layer, enabling pooled GPU orchestration across hybrid environments to scale rendering and model inference. Taken together, these components reflect current trends: tighter integration between scripting and generation, multimodal model deployment via APIs, real‑time and node‑based editing paradigms, and infrastructure tools to manage GPU costs and latency. The result is more accessible pipelines for producing generative video and immersive 4D experiences, but also new operational considerations—quality control, rights management, and compute orchestration—that teams must address. This topic helps creators, producers and technical leads compare tools and design pragmatic workflows for AI‑assisted video and immersive media production.