Samsung says it plans to double ‘Galaxy AI’ devices, leaning on Google Gemini
Samsung’s mobile leadership says the company aims to expand the number of devices running Galaxy AI features—many powered by Google’s Gemini—from roughly 400 million to 800 million in 2026. The push would deepen Samsung’s partnership with Google as competition in consumer AI accelerates.
Samsung Electronics says it plans to double the number of its mobile products featuring “Galaxy AI” capabilities in 2026, a major scale-up that highlights how quickly generative AI features are becoming standard across consumer hardware. In a Reuters interview, Samsung’s mobile chief described an aggressive timeline to embed AI across devices, functions and services.
The company said it had already delivered Gemini-backed AI features to about 400 million mobile products by last year, including smartphones and tablets, and intends to reach 800 million devices during 2026. The plan positions Samsung as a key distribution channel for Google’s AI model ecosystem in the Android world.
Strategically, the move is about scale and habit formation. If AI tools become embedded into everyday phone behaviors—search, writing, translation, photo editing and productivity—platform partners gain leverage through default settings and deep integration, not just through standalone apps.
Samsung’s push also reflects a broader shift in the industry: AI differentiation is no longer limited to flagship phones. As companies race to ship “AI everywhere,” they are also taking on new responsibilities, including reliability, privacy protection and transparency around what models can and cannot do.
For Google, the partnership offers something many AI firms crave: mass distribution at the device level. For Samsung, leaning on Gemini-backed capabilities can speed product development and give it a stronger story against hardware competitors that are building proprietary models or emphasizing other ecosystems.
The next test will be execution: whether Samsung can deliver consistent, useful AI features across hundreds of millions of devices without creating performance, battery or trust issues. With consumer expectations rising quickly, the bar for AI quality is moving from novelty to necessity.