Samsung says it aims to double Gemini-powered ‘Galaxy AI’ devices to 800 million in 2026
Samsung Electronics says it plans to dramatically expand the number of mobile devices shipping with AI features powered by Google’s Gemini, targeting 800 million units in 2026. The push highlights how handset makers are racing to embed on-device and cloud AI into mainstream products while deepening ties with major model providers.
A big scaling target for consumer AI
Samsung Electronics plans to double the number of its mobile devices that include AI features powered by Google’s Gemini, aiming for about 800 million units in 2026. The company says it had already rolled out Gemini-backed capabilities to roughly 400 million devices previously, and now intends to scale AI across a far larger share of its smartphones and tablets.
Why Samsung’s move matters to Google—and the wider AI race
Because Samsung is one of the most important partners in the Android ecosystem, expanding Gemini’s footprint through Samsung hardware could materially increase consumer exposure to Google’s AI model. More devices with built-in AI experiences can drive usage, developer interest and feedback loops that help improve products and retention. It also signals that distribution—getting AI into everyday workflows—is becoming as important as model capability.
From “features” to a platform strategy
Samsung’s stated direction suggests AI will be treated less like a set of optional tools and more like a platform layer across product lines. That can include smarter photo and video workflows, language features, system-wide assistants, and productivity tools designed to be used repeatedly throughout the day. The strategy also implies tighter coordination between device software, cloud services and silicon-level optimization.
What it could mean for consumers
For customers, wider rollout usually means AI tools appear on more price tiers, not only premium flagships. It can also increase consistency—people switching models or upgrading can keep similar AI capabilities. However, broader deployment raises questions about privacy defaults, data handling, battery impacts, and how much of the AI stack runs locally versus in the cloud.
Competitive pressure on rivals
If Samsung executes on the 800 million target, it increases pressure on competing phone makers to match AI feature breadth and distribution. The competition may shift from “who has an AI feature” to “whose AI is integrated well enough to become habit-forming,” covering reliability, speed, multilingual performance, and useful everyday automation rather than demos.