AI Sports & Live‑Event Platforms encompass systems that ingest live video, telemetry and contextual data to deliver real‑time analytics, automated production and bespoke fan experiences. In 2026 this area is characterized by multimodal models, low‑latency inference at cloud and edge, and integrated orchestration stacks that move beyond offline post‑production to live decisioning and personalization. Key categories include Sports Analytics Tools (real‑time telemetry, predictive models and KPI dashboards), Video Analytics Tools (frame‑level indexing, search, player/ball tracking and summarization) and Generative Video Tools (automated highlight generation, synthetic camera moves and captioning). Representative technologies: TwelveLabs provides deep video understanding—indexing, search, summarization and generation APIs; Vertex AI and Google Gemini supply managed model development, deployment and multimodal generative capabilities at scale; Runway focuses on generative video creation and editing workflows for content teams; Kore.ai enables multi‑agent orchestration and conversational experiences; Xilos targets enterprise agentic infrastructure and observability. Enterprise platforms such as Infosys Topaz and cloud partnerships (for example Google Cloud integrations with motorsport series) illustrate how systems combine data pipelines, model serving and broadcast workflows. Practical trends and considerations: broadcasters and rights‑holders prioritize latency, model governance, auditability and copyright/compliance when automating highlights or personalized streams. Adoption is driven by the ability to turn live events into searchable, monetizable assets and to automate labor‑intensive production tasks, while balancing editorial control and regulatory constraints. For teams evaluating platforms, the critical tradeoffs are real‑time accuracy, integration with existing production stacks, and infrastructure for observable, governed agentic workflows.