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After releasing a large number of Gemini ecosystem advancements at the Google I/O 2026 conference, Google once again strengthened its position in the smart home market on May 21st, officially launching a new solution called "Gemini built-in." This solution aims to fully integrate cutting-edge AI capabilities into third-party hardware devices. The initial focus will be on smart cameras and smart speakers, marking that Google is accelerating the replication of its previous Google Assistant ecosystem expansion path, reshaping the interaction experience and control center of third-party smart homes.
The core of this technology release lies in deeply opening up advanced intelligent features of the Google Home platform for developers. Third-party manufacturers will be able to directly use the same development tools as "Ask Home" and Nest Cam smart scene recognition, significantly shortening the R&D cycle. To this end, Google has introduced a complete hardware reference design, empowering partners to create high-fidelity speakers that support full Gemini voice experiences. There are already signs of breakthroughs in the market, with the Onn brand smart speaker from Walmart expected to be one of the first products to test the waters.
In addition, this initiative breaks traditional hardware boundaries, allowing operators and internet service providers to integrate Google Home Premium and Gemini capabilities into their own applications. Currently, American telecom giant AT&T has already deeply integrated the AI functions of Nest Cam into its Connected Life security service.
Although some early third-party Google Assistant devices have experienced pain points such as system maintenance and interruption of firmware updates, external predictions suggest that the new Gemini output solution based on the updated technical architecture will have stronger vitality. As the wave of "Gemini built-in" hardware begins to flood the market in the second half of 2026, the smart home industry is moving from simple "device connectivity" into a "true intelligence" era driven by edge-side large models, further solidifying Google's ecological moat in the application of AI large models.