Fetch.ai and RedSquid TV launch first agentic AI television platform

The shift from content recommendation to autonomous execution marks a strategic evolution in the television interface. By embedding agents at the OS level rather than as cloud-based overlays, RedSquid and Fetch.ai are providing telcos with a defensive architecture to reclaim the 'glass' from smart TV manufacturers and big tech ecosystems. This move positions the television as a transactional hub for the 'Agentic Web,' where software agents negotiate and transact on behalf of the household. The long-term success of this model will depend on operator adoption and the maturity of edge AI processing to maintain privacy and responsiveness. Watch for the platform’s first public demonstration at IBC 2026 in Amsterdam this September.

The partnership arrives as the media industry shifts focus from simple generative AI tools to 'Agentic AI' systems capable of independent planning and execution. Per Informitv (July 2026), this move coincides with reports that Amazon is developing 'Project Lighthouse,' an AI-led redesign of Prime Video aimed at creating a more conversational and action-oriented interface. Unlike these proprietary efforts from tech giants, the RedSquid platform is pitched as a white-label alternative that allows regional operators to maintain sovereignty over their data and monetization stacks.

Technical documentation from RedSquid TV (June 2026) specifies that their OS architecture provides deep hardware control, interacting directly with tuners and chipsets from major providers like MediaTek and Realtek. This low-level access is critical for the 'edge AI' ambitions cited by Fetch.ai founder Humayun Sheikh, who recently launched the ASI:One orchestration platform to manage over two million agents in the Fetch ecosystem, according to VentureBeat (November 2025).

Industry analysts at NewscastStudio (December 2025) previously noted that 2026 would be defined by an 'implementation gap' between AI’s potential and practical use in media production. This launch represents one of the first consumer-facing attempts to bridge that gap by moving AI out of the cloud and into the operating system itself. The capability for agents to handle multi-step workflows—such as coordinating between a verified airline agent and a hotel agent—mirrors broader trends in the 'Agent Economy' where brands must now market to digital agents as much as human viewers.