Honor's Li Jian: Building Entrances and Trust Together with Users at the Center, Proposing the Three Dimensions of IQ, EQ, and TQ for the AI Terminal Ecosystem

Honor's Li Jian: User-Centric, Co-Building Entry Points and Trust, Opening a New Paradigm for AI Terminal Ecosystem in the Intelligent Economy Era Zhong Lilei 1 hour ago An entry point is the moment a user generates intent.

At the 2026 Mobile Network Conference, Honor CEO Li Jian delivered a keynote speech, sharing his thoughts on industrial evolution in the intelligent economy era around the theme of "user-centric, co-building entry points, co-building trust, and co-creating the future." He proposed that the battle over AI entry points is not a zero-sum game over existing stock; the industry should be guided by winning user trust, open up and collaborate, return entry-point sovereignty to users, and co-create a new intelligent economy ecosystem.

Li Jian stated that the deep integration of computing power, large models, and embodied intelligence is reshaping the underlying logic of industry, the economy, and society. What AI brings is not partial functional fine-tuning, but a disruptive reconstruction of workflows and production paradigms across all industries. Yet at present, users' daily interactions are still continuously mired in the consumption of cumbersome app switching and repeated operations, and human-computer interaction mostly remains at the stage of "people seeking services."

In Li Jian's view, the core variable determining the direction of business paradigms is "scarcity," and the history of industrial evolution is essentially a process of iteration of scarce elements: in the mobile communication economy era, connectivity was abundant and information scarce, corresponding to the channel economy of content monetization; in the mobile internet economy era, attention was scarce, forming the attention economy of traffic monetization; entering the intelligent economy era, intent delegation has become the new scarcity, and business logic has shifted to the intent economy of monetizing results. In the past, entry points were clickable icons; in the future, entry points will be born at the moment a user generates intent, and the core of value will reside in every result entrusted by users.

From intent generation to result delivery, the entire industry still needs to cross three thresholds. Intelligent capabilities continue to break through boundaries, and long-term memory capabilities make AI increasingly understanding, but the more proactive intelligent services become, the more prominent the challenges at the trust level: the first is scarcity of intelligence, testing whether AI can actually get things done; the second is scarcity of context, testing whether AI can understand users—AI does not lack basic capabilities, but lacks perception of users' identity, scenarios, needs, and past behavior; the third is scarcity of trust, testing whether AI is worthy of being entrusted. Context is a user's personal sovereign asset, and whether to authorize it depends on whether AI can be trustworthy, reliable, and controllable. "Capability determines how fast AI can go; trust determines how far AI can go," Li Jian said.

This judgment also echoes current industry competition trends. A Goldman Sachs research report earlier this year defined 2026 as a "critical year" for China's internet industry, with the industry's competition paradigm having shifted from competition over traffic and scale to control of entry points and fulfillment of closed business loops. Omdia senior analyst Zhong Xiaolei believes that competition in AI phones is shifting from "the battle over app entry points" to "the battle over AI task scheduling rights." Phone manufacturers assume the role of intent understanding and task scheduling, while internet companies supply specific services, and there is still room for contention over the distribution of commercial interests.

The Implementation Opinions on Standardized Application and Innovative Development of Intelligent Agents, jointly issued by the Cyberspace Administration of China and two other departments, clearly establishes safety, reliability, and trustworthiness as the bottom line for industrial development, and this bottom line must ultimately land on the terminals closest to users. Terminals are both the natural carrier of user intent and the natural shield of trust—visible, tangible, and deeply embedded in users' lives; data permissions are controlled by users themselves and can remain local. It is not just a screen; it is both the entry point of intent and the exit of trust. Honor's goal is to let intelligence permeate every one of users' terminals and every scenario, promote the animation of all things and human-machine symbiosis, make intelligence benefit daily life, and ultimately empower a stronger human being.

As an AI terminal ecosystem company, Honor upholds the AHI concept of "intelligence that empowers humanity," advocating that the value of AI is to enhance people rather than replace them. Following its earlier proposal of the two dimensions of IQ (intelligence) and EQ (sense of life), Li Jian added TQ (trust) at this conference as the third core dimension of AI evolution. He used the classic ARRI three-lens turret design inherited by Honor Magic9 as a metaphor: IQ, EQ, and TQ are Honor AI's three-lens turret, and only when the three work together can AI upgrade from "able to get things done" to "trustworthy"; without the constraint of TQ, the stronger IQ and EQ are, the higher the potential risk. On this basis, Honor has built the "user-symbiotic YOYO agent"—it is an efficient assistant, a partner that understands people, and even more a digital avatar symbiotic with users, whose sole mission is to understand, enhance, and protect users.

Li Jian said, "Entry points need not be fought over; trust will gather on its own." In the past, the industry often built moats by building closed walls, but users' lives have no boundaries, and fragmented ecosystem barriers will ultimately fragment coherent intelligent experiences. The entry point Honor wants to build is not about raising walls higher, but about widening pathways: at one end, gathering various service ecosystems based on real user needs and scenarios; at the other end, gathering the model ecosystem, connecting cloud models, computing power supply, and full-chain AI service supply.

Looking to the future, Honor will join hands with China Mobile and ecosystem partners for open co-creation to build a user-centric intelligent economy ecosystem: co-building entry points, with YOYO linking with partners such as Lingxi, Qwen, Doubao, and Gemini to build an agent network and provide rich and diverse solutions for differentiated user needs; co-building trust, working with China Mobile to build a complete trust chain covering trusted networks, trusted identity, trusted settlement, trusted operations, and trusted terminals, so that intelligent services are not just efficiency tools but reliable partners; co-creating models, with Honor and China Mobile jointly launching Token packages for the first time on customized Honor Magic9 series phones, and Honor will also join with more partners to continuously explore new business models around Token distribution, user subscriptions, customized terminals, and service distribution.

Li Jian cited relevant remarks from the Wuzhen World Internet Conference, saying that technology should enhance people's capabilities, expand people's choices, highlight people's value, and improve people's well-being; the measure of technology is ultimately the measure of humanity. "In the past, an entry point was an app icon; today, an entry point is the moment a user generates intent," Li Jian said. The interaction paradigm is shifting from clicking icons to direct intent access. The future entry point does not belong to any single manufacturer, and what the industry should truly answer is not "who owns the entry point" but "how to deliver the best experience to users." When intent becomes the entry point, agents act autonomously, and intelligence is everywhere, entry-point sovereignty lies with users, the foundation of intelligence lies in trust, and the future of AI lies in co-creation.

Source: Submission

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