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Exclusive: Samsung's Next Galaxy AI Challenge: Less Typing, More Agents
* Samsung launched new Galaxy Z series globally * The new foldables are Galaxy Z Fold 8, Fold 8 Ultra, and Flip 8 * In India, the phones are now available Samsung is already working on the next era of Galaxy AI where users won't need to type requests into a chat box to get things done. Speaking at an AI roundtable, Jay Kim, Corporate EVP and Head of the Customer Experience Office at Samsung's MX Division, laid out how the company is moving from app-based interactions to a fully agentic AI model, and also talked about why India's linguistic diversity makes that shift especially complex. Kim's comments came in response to a question from Gadgets360, where we wanted to understand how Samsung is redesigning UX so interactions aren't "always typed in a box," and how the company plans to deliver contextual, cloud-reliant agentic experiences in a market as linguistically fragmented as India. Will Apps Go Away? Probably Not Kim began by addressing the future of the app itself. He stressed that apps aren't going anywhere, but how people use them is changing as AI takes over more of the legwork. "Will apps go away? Probably not. It will be there. It's so optimised for mobile devices and the industry. Many players are building their business around it, so there will be a balance between how app usage changes based on the evolution of AI. But definitely, as you have mentioned, the industry is moving into a more agentic area," he said. What is shifting, Kim said, is how much manual effort users need to put in. That's where "agentic" AI comes in. "What do you mean by agentic? It's more about letting the consumer spend less time on getting things done. You have tasks to do...earlier, you had to go to different apps back and forth to get things done," he explained further. Jay Kim, Corporate EVP, Head of Customer Experience Office, MX Division at Samsung Electronics during AI Roundtable From App-Stitching to MCP to Automation Kim then walked through the technical path Samsung has taken to get there. The company's first attempt was to manually connect AI to individual app functions, but that didn't hold up at scale. He said, "We started with app function, what's called stitching everything to the AI to get things done. But it wasn't scalable. Now you have MCP (Mobile Context Protocol), where it's more of an industry standard that you can have industrial players come and make a standard so that it actually helps the ecosystem." Because industry-wide standards take time to mature, Samsung also built its own interim solution, a feature that reads the phone's screen and completes tasks on the user's behalf. "We also launched what we call automation, where we understand the screen and then let the agents go through the process so that if I need to call an Uber, it will do it for you on your behalf. There are many different ways of how you manage agents. And agentic functions will evolve," he added. But he also made a candid admission that "It's still not perfect". Interestingly, rather than overselling the feature, Kim was direct about where automation currently stands following its debut on the Galaxy S26. "The first step that we did was automation at the Galaxy S26 launch. It was a very hard process. It's still not perfect, but we're taking our first step to get there," he further revealed. He also pointed to the pace problem baked into this kind of work by the time one piece of the AI stack is refined, newer technology, such as generative widgets, is already emerging, forcing Samsung to plan several steps simultaneously. Why Scale Demands Caution With Galaxy devices in daily use by more than a billion people, Kim said Samsung can't move on UX changes unilaterally, and its choices ripple across an entire ecosystem of partners. "So, we have more than a billion users using the product every single day today. We have to be very responsible. We have to make sure that industry moves all together in the right direction, not just us going in one direction," Kim added. Samsung's approach centres on open partnerships rather than isolated changes and working with the broader industry so that shifts in UX don't disrupt the ecosystem Samsung depends on. India: The Hardest Test Case Turning to the India-specific part of our question, Kim acknowledged that the country's linguistic diversity adds a layer of difficulty that global-first design doesn't account for. "India is a very complex market because you have many different languages. We'll do our best to make sure that we work with local teams because all R&D centres get a lot of feedback. So, we'll make sure that we put a lot of effort to address the local needs," Kim ensured. What's Next: Voice, Vision, and Wearables Kim closed by pointing beyond the phone. As agentic AI matures, he expects the interface itself to spread across devices, like smartwatches and smart glasses, with voice and vision becoming central to how people interact with AI day to day. "I think that UX, not just on the mobile, will actually split to wearables, whether it's a watch or glasses. So that will be another sort of angle that will spread the sort of usage from an UI perspective. I think voice will continue to evolve, because they will continue to have more voice interaction. So how do you have voice playing this sort of UX UI area will be another sort of angle that we're also looking at. And then vision is definitely another key. So, vision, voice, space, and everything that combined will come together, but we'll make sure that we'll work with the industry to take the right direction," he said.
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Samsung's Galaxy AI Roadmap Signals the End of App-Swapping
Samsung is preparing a big change for Galaxy AI. The company says the future of smartphones is not about opening one app after another. Instead, it wants AI agents to handle tasks across different apps on their own. The a version of Galaxy AI where typing queries and requests in a chatbox will make things happen. Corporate EVP and Head of the Customer Experience Office at Samsung's MX Division, Jay Kim, talked about this shift during a recent interview. He mentioned that Samsung is moving toward an era of redesigning the UX where interactions aren't 'always typed in a box.' It will deliver contextual, cloud-reliant agentic experiences. However, regarding apps going away completely or not, Kim stated, "Will apps go away? Probably not. It will be there. It's so optimized for mobile devices and the industry. Many players are building their business around it, so there will be a balance between how app usage changes based on the evolution of AI. But definitely, as you have mentioned, the industry is moving into a more agentic area." He further added, "We started with an app function, what's called stitching everything to the AI to get things done. But it wasn't scalable. Now you have MCP (Mobile Context Protocol), where it's more of an industry standard that you can have industrial players come and make a standard so that it actually helps the ecosystem."
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Will Galaxy AI become a paid subscription? Samsung explains its thinking
AI on our smartphones is no longer just about editing photos, translating languages or summarising text. To put it into perspective, AI on phones can understand context, automate tasks across apps and even make recommendations before you ask. But delivering these smarter experiences isn't as simple as running everything on your smartphone. During an AI roundtable at Galaxy Unpacked in London last month, Samsung executives JB Park, President and CEO, Samsung South West Asia and Jay Kim, Corporate EVP and Head of Customer Experience Office at Samsung MX, explained why the company believes the future lies in a hybrid approach that combines on-device processing with cloud computing. They also offered fresh insight into whether Galaxy AI could eventually include paid features and why the company believes some AI experiences will always need more computing power than a phone alone can provide. Also read: Samsung Galaxy Z Fold 8 early review: Lots to unpack! Why Samsung isn't choosing between on-device and cloud AI One of the biggest questions surrounding AI today is whether future smartphones can process everything locally or whether cloud computing will remain essential. According to Jay Kim, the answer isn't one or the other. Instead, Samsung is building what it calls a hybrid AI approach. The idea is simple. Tasks that benefit from speed, privacy and local processing should run directly on the device whenever possible. At the same time, requests that require deeper reasoning, access to global knowledge or more advanced computation are better handled in the cloud. Kim explained that there isn't a fixed ratio for how much AI should run locally versus remotely because every user interacts with AI differently. Some people may rely almost entirely on on-device features, while others regularly use cloud-powered experiences. Samsung's goal, he said, is to make that transition seamless rather than expecting users to think about where the processing happens. Partnerships remain central to Samsung's AI strategy Building this hybrid experience also means Samsung isn't developing AI in isolation. During the discussion, Kim highlighted the company's close collaboration with Google and Qualcomm, describing AI as something that spans every layer of the technology stack, from chipsets and operating systems to software and user experience. Rather than depending on a single AI model, Samsung said it already uses multiple models across different services, selecting whichever is best suited for a particular task. As AI models continue evolving, the company expects to keep adapting instead of committing itself to one provider or one technology. That flexibility, Samsung believes, will allow Galaxy devices to benefit from future AI advances without locking users into a single ecosystem. Also read: Samsung Galaxy Z Flip 8 in Digit Test Labs: The Fold gets productivity, the Flip gets personality Why cloud AI may eventually cost money? As AI becomes more capable, another question naturally follows: who pays for the computing power? Kim acknowledged that AI services come with real operating costs, especially when cloud infrastructure is involved. He noted that consumer attitudes have also changed dramatically over the past few years, pointing out that people are now increasingly comfortable paying for AI services and that token-based computing has become part of the wider AI conversation. However, Samsung stopped well short of announcing a paid Galaxy AI subscription. Instead, Kim reiterated that Samsung's core AI services will continue to be provided without charge. At the same time, the company is evaluating how to make future services sustainable and scalable while continuing to deliver what it considers the best AI experience for consumers. In other words, Samsung isn't ruling out premium AI experiences in the future, but neither is it signalling that today's core Galaxy AI features are about to move behind a paywall. What this means for Galaxy users? Samsung's message is very clear: the company believes users shouldn't have to think about whether a feature is powered by on-device processing or cloud computing. Instead, the focus is on delivering the right experience while balancing privacy, performance and cost. Also read: Samsung Galaxy Z Fold 8 Ultra display tested: The most colour accurate foldable screen For Galaxy users, that likely means future smartphones will continue relying on a mix of local intelligence for everyday tasks and cloud processing for more demanding AI capabilities. It also suggests that while Samsung sees value in keeping its core AI experience free, more advanced cloud-powered services could eventually become part of a broader premium offering if they prove sustainable to deliver. For now, Samsung's vision is clear: AI shouldn't be defined by where it runs, but by how naturally it helps people get things done.
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Samsung is shifting Galaxy AI toward agentic AI models that automate tasks across apps without manual input. Jay Kim revealed the company's hybrid AI approach balancing on-device processing with cloud-powered AI services, while acknowledging scalability challenges and India's linguistic complexity as key hurdles.
Samsung is redesigning Galaxy AI to eliminate repetitive typing and app-switching, moving toward agentic AI models that complete tasks autonomously. Jay Kim, Corporate EVP and Head of the Customer Experience Office at Samsung's MX Division, outlined this shift during an AI roundtable at Galaxy Unpacked in London
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. The company aims to deliver contextual AI experiences where users spend less time navigating between apps, instead letting AI agents handle multi-step processes on their behalf2
.Addressing whether apps would disappear entirely, Kim clarified that apps remain optimized for mobile devices and essential to the industry ecosystem. However, he emphasized that "the industry is moving into a more agentic area" where AI reduces manual effort
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. Samsung's Galaxy AI roadmap balances preserving app functionality while fundamentally changing how users interact with their devices through intelligent automation.
Source: Digit
Samsung's technical evolution toward agentic AI models began with manually connecting AI to individual app functions, an approach Kim described as unscalable
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. The company now leverages Mobile Context Protocol, an industry standard enabling broader ecosystem collaboration. Kim explained that MCP allows "industrial players come and make a standard so that it actually helps the ecosystem"2
.While industry standards mature, Samsung developed an interim automation feature that reads phone screens and executes tasks independently. Launched with the Galaxy S26, this capability represents Samsung's first step toward fully agentic experiences, though Kim candidly admitted "it's still not perfect"
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. The company faces ongoing challenges as newer technologies like generative widgets emerge before existing features reach maturity, forcing simultaneous development across multiple AI stack layers.Samsung's AI strategy relies on a hybrid AI approach combining on-device processing with cloud-powered AI services rather than choosing one exclusively. During discussions at Galaxy Unpacked, Kim explained that tasks requiring speed, privacy, and immediate response run locally, while requests demanding deeper reasoning or global knowledge access utilize cloud processing
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.This architecture lacks a fixed ratio between local and cloud computing because user behavior varies significantly. Some individuals rely almost entirely on on-device features while others regularly access cloud capabilities
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. Samsung's goal centers on making these transitions seamless, ensuring users never consider where processing occurs while maintaining optimal performance and user experience across scenarios.With over a billion users engaging Galaxy devices daily, Samsung emphasizes responsible development through industry collaboration rather than unilateral changes
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. Kim stressed that "we have to make sure that industry moves all together in the right direction, not just us going in one direction," highlighting partnerships with Google and Qualcomm as central to Samsung's approach3
.Samsung already deploys multiple AI models across different services, selecting whichever proves best suited for particular tasks rather than committing to a single provider
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. This flexibility allows Galaxy devices to benefit from future AI advances without locking users into one ecosystem, ensuring Samsung's Galaxy AI roadmap remains adaptable as technologies evolve.Related Stories
India represents Samsung's most complex deployment environment due to extensive linguistic fragmentation. When asked about delivering contextual AI experiences in this market, Kim acknowledged that "India is a very complex market because you have many different languages"
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. Samsung plans intensive collaboration with local R&D teams to gather feedback and address regional requirements, ensuring agentic AI models function effectively across India's diverse language landscape.
Source: Gadgets 360
These scalability challenges extend beyond linguistics to infrastructure considerations, as cloud-reliant agentic experiences require robust connectivity that varies significantly across Indian markets. Samsung's commitment to working with local teams reflects recognition that global-first design inadequately accounts for regional complexity requiring tailored solutions.
While Samsung maintains that core Galaxy AI services remain free, Kim acknowledged that cloud-powered AI services incur real operating costs
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. He noted shifting consumer attitudes, pointing out that people now increasingly accept paying for AI services and that token-based computing has entered broader AI conversations. Samsung is evaluating how to make future services sustainable and scalable while delivering optimal experiences, suggesting premium AI capabilities could eventually emerge without moving existing features behind paywalls3
.Looking forward, Kim expects AI interfaces to expand beyond smartphones to smartwatches and smart glasses, with voice and vision becoming central interaction methods
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. This multi-device approach aligns with Samsung's agentic vision where AI seamlessly operates across hardware platforms, fundamentally transforming how users engage with technology daily.Summarized by
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