RedSquid TV and Fetch.ai launch first ‘agentic’ AI TV operating system

This launch marks a shift from passive content delivery to active digital assistance within the TV hardware itself. By moving agency to the edge, RedSquid provides an alternative for telcos and traditional operators who have lost the 'intelligence layer' to mobile OS giants. If agents can successfully orchestrate third-party services like verified retail through Fetch Business, the TV becomes a high-margin transactional hub rather than just a video display. Watch for adoption rates among Tier-2 operators seeking to differentiate their hardware from standard Android TV deployments.

The move toward agentic systems on the big screen reflects a broader industry trend where TV manufacturers are transitioning into AI service providers. For example, per Samsung in May 2026, the company expanded its Vision AI Companion across its 4K lineup, utilizing a new NQ4 AI Gen3 processor that is reportedly 2.0x faster than previous versions to handle real-time content analysis and personalized recommendations. Samsung also committed to seven years of Tizen OS upgrades to ensure long-term AI capability for older hardware, emphasizing that security and data longevity are now primary selling points in the smart home ecosystem.

Simultaneously, the foundational technology for autonomous agents is maturing across global tech stacks. According to Gartner in January 2026, inquiries regarding multi-agent systems surged by over 1,400% since early 2024 as organizations moved away from monolithic LLMs toward specialized 'puppeteer' orchestrators. This trend is supported by new technical standards such as Anthropic’s Model Context Protocol (MCP) and Google’s Agent-to-Agent (A2A) protocol, which aim to standardize how different agents communicate and interact with external APIs. Fetch.ai’s Agentverse, which hosted roughly 3 million agents as of June 2026 per internal reports, further illustrates the scale at which decentralized agent economies are being built.

Enterprise adoption of these agents is also accelerating. Per Svitla in April 2026, the agentic AI market reached an estimated $10.8 billion, with analysts projecting that 40% of all software applications will feature task-specific agents by the end of the year. For the streaming industry, this means the competitive landscape is shifting from content libraries to the 'plumbing' of agentic orchestration—prioritizing systems that can autonomously resolve complex user requests while maintaining strict data governance and audit trails.