The Rise of AI-Native Devices: A Paradigm Shift from Apps to Agents

The Escalating Competition in AI-Native Terminals: A Paradigm Shift from “Installing Apps” to “Summoning Agents”

While smartphones remain locked in an endless tug-of-war over the walled gardens of iOS and Android ecosystems, a quieter—but far more disruptive—migration is already underway at the hardware’s foundational layer. Amazon’s secretive AI-native smartphone project, codenamed “Transformer,” has recently surfaced, revealing a startling design philosophy: no app store, no traditional desktop interface, no independent app lifecycle—replaced instead by Alexa as a system-level AI Agent capable of seamless, context-aware service orchestration, enabling users to access services directly via natural-language commands. Almost simultaneously, Xiaomi unveiled its wearable device “Emotional Mentor” alongside the MiMo Agent platform, tightly integrating emotion recognition, situational reasoning, and proactive service recommendations into a wrist-worn form factor. Though their physical forms differ dramatically (a flagship smartphone versus a lightweight wearable), both share a striking strategic core: terminals are undergoing a historic leap—from an “OS + App”–centric paradigm to an “AI Agent–native interaction layer”–centric one. This is not incremental feature iteration; it is a fundamental rewriting of the human–machine relationship protocol.

The Struggle of the Old Paradigm: Intelligence Held Hostage by Apps

Looking back over a decade of mobile internet evolution, the “app store economy” built by iOS and Android served as a powerful engine for innovation. Yet its underlying logic has long exhibited structural rigidity: users must anticipate their needs → open the app store → search → download → install → grant permissions → launch → navigate → operate. This chain consumes an average of 47 seconds (Statista, 2023) and imposes significant cognitive load. A deeper contradiction lies in the nature of apps themselves: they are static, encapsulated service containers—incapable of perceiving context, coordinating across services, or evolving autonomously. When a user says, “Book me a ride to the airport tomorrow at 8 a.m., and sync my calendar and remind me to bring my passport,” today’s systems require manually switching among three separate apps—ride-hailing, calendar, and notes—each step demanding precise user input. As one industrial pipefitter remarked on Hacker News while watching a Claude Code demo video: “I don’t need a tool for writing code—I need an assistant that understands ‘adjust pressure at Valve #3 in Zone B to 1.2 MPa and generate a work order.’ It must know where Zone B is, the valve model, safety thresholds, and the work-order template.” This urgent demand for “intent-to-action immediacy” exposes the fundamental failure of the app paradigm: it forces humans to adapt to machine logic—not machines to understand human intent.

The Core of the New Paradigm: The Agent Is the Operating System

What Transformer and MiMo point toward is precisely this new paradigm—one in which the AI Agent serves as the default interaction layer. Within this framework, the Agent is no longer merely a functional module within an app (e.g., WeChat’s AI customer-service bot), but rather the terminal’s operating-system kernel itself, endowed with three native capabilities:
First, semantic understanding and intent decomposition—real-time parsing of ambiguous spoken requests (“Find a quiet café where I can edit PowerPoint slides, near a subway station”) into multi-step task chains;
Second, service atomization and dynamic orchestration—eliminating the need for pre-installed apps, as the system-level Agent can instantly invoke microservices (e.g., map APIs, merchant databases, document-processing models, payment gateways) and compose them into ad hoc workflows;
Third, persistent state and contextual memory—remembering user preferences (“only oat-milk lattes”), physical location, and device status (automatically throttling non-critical Agents when battery falls below 20%), thereby forming a personalized, continuous service experience.

This explains why Transformer completely eliminates the app store: when services are dynamically invoked by Agents in the form of APIs and models, static app packages become redundant. As demonstrated by the open-source AI programming Agent OpenCode—developers no longer deliver “an IDE software package,” but rather code-generation capabilities callable by any Agent. The locus of terminal power is shifting decisively—from “who controls OS distribution channels” to “who governs Agent orchestration authority and service-access standards.”

Restructuring the Power Landscape: Vertical Integration as the New Moat

Paradigm shifts inevitably trigger ecosystem-wide power realignments. The iOS/Android duopoly relies on tight control over app distribution, payment fees, and data interfaces. In contrast, AI-native terminals demand deep integration across hardware, edge-side models, cloud services, and vertically specific datasets. Amazon leverages a decade of voice-interaction expertise with Alexa, its AWS cloud infrastructure, and the Prime membership ecosystem—enabling Transformer’s Agent to directly orchestrate logistics, e-commerce, and streaming services in a closed loop. Xiaomi, meanwhile, draws on the world’s largest consumer IoT device network (290 million connected devices), deep optimizations within its HyperOS, and extensive local-life-service partnerships across China—allowing MiMo to deliver low-latency emotional responsiveness across home, office, and health contexts. This “chip–model–service” triad of vertical integration goes far beyond traditional smartphone supply-chain management; it mirrors Apple’s historic integration of hardware, OS, and content—but with far greater technical depth. It demands that enterprises operate simultaneously as chip architects, large-model optimization specialists, and ecosystem builders.

Notably, a case reported by Le Monde—in which French aircraft carrier movements were inadvertently exposed via heatmaps from the fitness app Strava (discussed on Hacker News)—reveals a critical vulnerability of the new paradigm: when Agents continuously sense environments and aggregate multi-source data, privacy boundaries blur as never before. If Transformer defaults to ambient audio analysis to refine Alexa responses—or if MiMo continuously collects heart-rate variability to infer emotional states—the questions of data sovereignty, on-device processing capability, and federated learning architecture will become more decisive competitive dimensions than raw performance metrics.

Next Stop: From “Device Intelligence” to “Ecosystem Intelligence”

The true significance of Transformer and MiMo lies not in whether either becomes a commercial hit, but in how they jointly validate a pivotal insight: the next-generation terminal competition is, at its core, a contest over AI Agent infrastructure. When a smartphone no longer requires users to “download a weather app,” but instead responds to “What should I wear for hiking this weekend?” by instantly integrating weather forecasts, image recognition of the user’s wardrobe, calendar events, and local UV index—then generating outfit recommendations and pushing them to shopping platforms—the value capture point shifts decisively: away from hardware sales and app-store commissions, and toward the Agent’s accuracy in intent understanding, efficiency in service orchestration, and breadth of cross-domain coordination. This will catalyze entirely new industry divisions: specialized Agent-training firms (focused on legal, medical, or education domains); lightweight edge-model vendors (optimized for diverse compute capacities); and service-API standardization consortia (designed to break down platform silos). And the once-impenetrable iOS/Android ecosystem walls may quietly erode—not through frontal assault, but via open, plug-and-play Agent protocols.

Paradigm shifts are never gentle. The moment a user first speaks aloud—“Cancel all my meetings tomorrow, switch them to online, and notify attendees”—without opening a single app, the “tap–navigate–act” gesture that defined the mobile era formally steps aside. Transformer and MiMo are not just two new products. They are signposts—pointing toward a more fundamental future: where the terminal itself fades into invisibility, and only the AI Agent that understands you, anticipates you, and serves you remains perpetually online.