Samsung Electronics has applied phone AI that moves beyond “conversation” to “execution” for the first time on the Galaxy Z Fold 8 and Flip 8. The standout feature in this application is the full-scale deployment of “agentic AI,” where generative AI goes beyond answering questions to linking multiple apps and continuously performing tasks for the user.
According to the feature descriptions, when a request is sent to the Galaxy Z Fold 8, the AI curates candidates matching the user’s schedule and preferences, then sequentially connects the apps needed for reservations and calendar registration. For example, it searches for available restaurants and time slots, then proceeds right up to the step before payment, at which point the user reviews the details and completes the process with final approval. The article summarizes this flow as “over 40 apps linked with a single command.”
Until now, AI has largely remained in the role of a “conversational search assistant,” answering questions and organizing information. However, the interpretation emerging is that it is now evolving to a stage where it connects apps on behalf of the user and even performs sequential tasks. In other words, the shift in phone AI’s center of gravity from “generation” and “organization” to “task execution” has manifested in concrete functional form.
This software change was introduced alongside the first application of “Gemini Intelligence.” With Gemini Intelligence applied to the Galaxy Z Fold 8 and Flip 8, over 40 apps are linked, layered with expanded app connection scenarios extending to reservations and calendar registration. The emphasis is on a “task automation” nature that starts with a single message and leads to real-life services (reservations, scheduling).
At the same time, observations have been raised that Apple is also preparing a countermove with its next-generation “Siri AI.” Both Samsung and Apple appear to be reflecting a strategic intent to differentiate through device-service integration rather than treating AI as merely an interface. The article specifically notes that “differentiation through device-service integration is key.”
Meanwhile, across the phone industry, the spread of AI coincides with a continuing phase where semiconductor supply bottlenecks are affecting prices and demand. According to foreign media reports, the chip shortage triggered by AI has caused phone prices to surge, leading to observations that interest in already-expensive foldable phones could be reignited. In that reporting, regarding Samsung’s new product unveiling event held in London, TM Roh, CEO of Samsung Electronics, stated that “phones, especially foldable phones, are the first and best platform for AI for people.” Within the industry, there is a coexisting view that the foldable form factor, advantageous for multitasking and productivity, could become a stronger differentiator the more execution-focused phone AI is emphasized.
However, the actual scope of tasks provided by this “agentic AI” was described as including safety mechanisms, such as the structure requiring user final approval (confirmation and approval after the pre-payment step). In other words, it is confirmed that the design increases automation convenience while retaining a user verification procedure rather than “full delegation.”
The following table summarizes the key points presented in the article.
ItemDetailsApplied ModelsGalaxy Z Fold 8, Flip 8AI NameGemini IntelligenceCore ChangeExpansion from conversational to “agentic AI” (execution-focused)App Linkage ScaleOver 40 apps linkedRepresentative ScenarioCurate reservation candidates → Connect reservation app → Pre-payment stage → User confirmation and final approval
The emergence of this execution-focused phone AI suggests that the center of “AI feature competition” in the smartphone industry is shifting from simple response quality to how quickly and seamlessly it can change actual user behavior. As functions that handle repetitive tasks like reservations and calendar registration through app linkage become standardized, control over phone OS and service ecosystems (default apps, partner apps) could become a competitive variable. At the same time, interpretations are emerging that the multitasking and productivity image of foldable phones, combined with execution-focused AI, could also influence product positioning.
Furthermore, in a climate where price burdens from semiconductor supply constraints are being mentioned, there is room for marketing that foregrounds “perceived value gained through AI” rather than simple specification competition to intensify. This is because, even in an environment of rising phone prices, the greater the practical benefits users feel (e.g., time saved from reservation to scheduling), the stronger the logic for defending demand becomes.
With Apple also appearing poised to continue device-service integrated competition with its next-generation Siri AI, market attention is likely to focus on the extent of apps and services to which both companies will connect their execution-focused AI to prove “completeness” going forward.