This topic covers the state of AI image and video generation platforms in 2026 after major vendor realignments (notably shifts involving Sora and OpenAI) reshaped expectations for performance, governance, and integrations. It examines tools and workflows used to generate, edit, repurpose and attribute video at scale—from developer APIs and foundation models to browser-based editors and prompt tooling. Relevance: production teams and marketers are balancing speed, cost and compliance. Open, production-ready models like LTXV‑13b prioritize throughput and integration into existing pipelines; subject‑consistent pipelines such as HunyuanCustom enable reusable on‑brand characters and consistent talent across clips; node‑based creative platforms like Runway combine compositing, editing and model chaining for iterative workflows. Browser solutions (Pictory.ai) and focused repurposing tools (VidSimplify) meet demand for rapid conversion of long‑form content into short branded clips, while niche image style tools (MakeBrainrot, Ghibli AI Generator) supply quick stylistic variants for campaigns and concepting. Prompt engineering and prompt‑management resources (Pixprompt) support scaling prompt‑based creative production and reproducibility. Key trends: modular toolchains (APIs + node workflows), specialization (precision 2D/3D animation, style transfer), faster foundation models for real‑time or near‑real‑time generation, and tighter coupling with marketing attribution tooling to measure variant performance. Practical considerations include cost, latency, IP/consent management and content provenance. Together, these platforms form an ecosystem that shifts video from bespoke production to programmable, measurable creative pipelines for teams across marketing, product and creative operations.