This topic examines the emergence of AI-native telco and 6G platform providers: service operators, hardware vendors (e.g., NVIDIA) and coalitions building software-defined AI infrastructure that runs models and agentic workflows across cloud, edge and private-network domains. It is timely in 2026 because density of edge compute, demand for low-latency agentic services (voice agents, CX automation, real-time assistants), and regulatory pressure on data governance are driving telcos to offer tailored AI stacks and orchestration. Key categories include Decentralized AI Infrastructure (edge GPUs, private 5G/6G slices and orchestration), AI Data Platforms (secure retrieval and embeddings for enterprise workloads), AI Security & Governance (privacy-preserving deployments, observability and policy controls), AI Agent Marketplaces (catalogs of plug-and-play agents for verticals) and Agent Frameworks (developer tooling for multi-agent workflows). Representative tools illustrate the space: Mistral AI and Cohere provide enterprise-tuned models and private model hosting; Together AI supplies training/inference acceleration for large models on cloud/edge GPUs; Google Gemini offers multimodal APIs for developers; LangChain and Adept enable building and automating agentic workflows; Kore.ai and PolyAI/Observe.AI/Crescendo.ai focus on contact-center and voice-first agent deployment and governance; CulturePulse.ai and Qodo represent specialized multi-agent analytics and quality-first developer tooling. Taken together, these capabilities show an industry pivot from generic cloud LLMs to distributed, secure, observable AI stacks integrated with telco network features. Providers and standard groups are focused on interoperable, software-defined platforms that support low-latency inference, enterprise governance, and marketplaces for validated agents—critical elements for real-world 6G-era applications.