Samsung's Galaxy AI Roadmap: Agentic Models to Replace App-Swapping, Says Jay Kim

3 Sources

Share

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 Galaxy AI Strategy Moves Beyond Chat Boxes

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

1

. 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 behalf

2

.

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

1

. Samsung's Galaxy AI roadmap balances preserving app functionality while fundamentally changing how users interact with their devices through intelligent automation.

Source: Digit

Source: Digit

From App-Stitching to Mobile Context Protocol

Samsung's technical evolution toward agentic AI models began with manually connecting AI to individual app functions, an approach Kim described as unscalable

1

. 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"

1

. 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.

Hybrid AI Approach Balances Device and Cloud Processing

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

3

.

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

3

. 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.

Industry Collaboration Shapes Samsung's Galaxy AI Roadmap

With over a billion users engaging Galaxy devices daily, Samsung emphasizes responsible development through industry collaboration rather than unilateral changes

1

. 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 approach

3

.

Samsung already deploys multiple AI models across different services, selecting whichever proves best suited for particular tasks rather than committing to a single provider

3

. 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.

India's Linguistic Diversity Presents Scalability Challenges

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"

1

. 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

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.

Potential Paid Features and Future Interface Evolution

While Samsung maintains that core Galaxy AI services remain free, Kim acknowledged that cloud-powered AI services incur real operating costs

3

. 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 paywalls

3

.

Looking forward, Kim expects AI interfaces to expand beyond smartphones to smartwatches and smart glasses, with voice and vision becoming central interaction methods

1

. 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.

Today's Top Stories

© 2026 TheOutpost.AI All rights reserved