Samsung aims to double Gemini-backed AI mobile devices to 800 million in 2026

Samsung accelerates its consumer AI rollout

Samsung Electronics has outlined plans to double the number of its mobile devices equipped with Galaxy AI features, aiming to reach roughly 800 million units in 2026. The company has been rolling out AI capabilities across phones and tablets and is positioning the expansion as part of a broader effort to apply AI more widely across products, functions, and services.

The initiative highlights an intensifying competition among device makers to make AI a default feature, not an add-on. For handset manufacturers, the strategy serves multiple goals: it helps differentiate hardware in a mature smartphone market, encourages users to upgrade, and deepens the relationship between device ecosystems and the AI model providers that power key features.

Why Google’s Gemini matters in this push

Samsung’s approach leans heavily on AI capabilities backed by Google’s Gemini. That alignment signals the growing importance of partnerships between consumer electronics giants and AI model developers. For Google, deeper integration into the Android hardware leader’s products can expand reach and usage; for Samsung, leveraging a major AI platform can speed feature deployment and reduce the burden of building every model component in-house.

Industry watchers note that the competitive landscape is not only about who has the best model. It’s also about distribution: where the AI runs, how it is embedded into default apps, and whether features are fast, reliable, and privacy-conscious. Device-level AI also raises new questions about on-device processing versus cloud inference, energy consumption, and how user data is handled.

What this could mean for consumers

For consumers, the AI expansion is likely to translate into more built-in tools for photo editing, translation, writing assistance, search, and system automation. It may also reshape how people interact with their phones, shifting from app-by-app navigation to more assistant-style workflows. The tradeoff is that users will increasingly be asked to trust a complex stack of hardware, operating system controls, and cloud services.

As AI features become standard, consumers may also see changes to pricing, subscriptions, and support windows. The next phase of the mobile AI race will likely be defined by which companies can deliver useful features at scale while maintaining performance, transparency, and strong privacy safeguards.