Robot Phones Reflect China’s Accelerated AI Agent Applications

At the 2026 Mobile World Congress (MWC) in Barcelona, Spain, Chinese tech company Honor unveiled its robot phone, drawing significant attention. Industry insiders told Xinhua reporters that the product impressed them and highlighted the rapid development of Chinese AI applications and their impact on the global terminal ecosystem.

As the latest “entry point” embedding AI deeply into daily life, this original technology signals that AI is moving quickly from “cloud conversation” to “edge execution,” bringing Chinese AI agents closer to real-life applications worldwide.

Unlocking “Embodied Interaction”

A female visitor at the Honor booth remarked on the robot phone’s dance performance: “It dances better than you do.”

Unlike traditional smart devices, this product breaks the stereotype of the “boring rectangle” smartphone, integrating embodied intelligent interaction and flagship imaging. Honor CEO Li Jian said the device, described as a “new species” of smartphone, features a three-axis gimbal camera and embodies Honor’s “enhanced human intelligence” philosophy, giving AI both intelligence (IQ) and life sense (EQ) to enhance human adaptability, evolution, and enjoyment in a changing world.

Regardless of whether this form becomes mainstream, it illustrates the industry’s fierce competition in new tracks: pushing AI from a chat tool to a task-executing agent capable of sensing, coordinating, and acting.

“Whoever captures the AI agent’s super entry point will dominate market competition in the coming decades. 2026 may become the ‘year zero’ for AI agents, with innovative products reshaping the past 30 years of Internet logic,” said Zhang Lin, Director of the Shenzhen Science and Technology Innovation Bureau.

Accelerating Toward Essential Applications

With AI crossing application thresholds, global demand for terminal products is shifting.

On March 3, Huaqiangbei in Shenzhen released the global sales heatmap of AI hardware products for January–February 2026, showing three core trends:

1. Drones remain in a high-demand zone, with robust domestic and international markets.
2. AI learning devices surged during the school season, with significantly increased procurement.
3. AI smart wearables, including watches and glasses, steadily expanded their share of overseas orders.

These trends indicate that AI hardware is moving from a “novelty” item to a “must-have” in everyday life.

From an industry chain perspective, hardware is the key entry point for deploying Chinese AI agents. Domestic explorations embedding AI large models into mobile OS layers and enabling cross-application task automation demonstrate the immense potential of edge-side AI.

Francisco Jeronimo, Vice President of Data and Analytics at IDC, told reporters that embedding AI into devices like robot phones is “a way to innovate with AI and provide users with different experiences.”

Software platforms are also competing intensely for AI entry points. During the Chinese New Year, multiple leading platforms used red envelopes and subsidies to attract users, boosting interaction frequency and function usage geometrically. Behind this activity lies a deeper business logic: when AI agents can “handle tasks for humans,” the super entry point will reshape global traffic distribution and redefine interests across payments, content, tools, and services.

“Edge Intelligence” Reshaping the Ecosystem

Previously, AI could advise but not act. AI can chat, compose poetry, or generate images, but tasks like “complete my reimbursement workflow” require cross-system execution, which text generation alone cannot handle. Zhang Lin said, “The AI industry is undergoing a generational shift from text-based chat to task-execution-based operations.”

Deploying AI at the nodes closest to data (phones, cars, machines) is seen as key to breaking through.

Transforming AI from advisory to capable agents depends not only on computational power but also on redesigning underlying architectures and permission rules. To support large-scale industrial deployment, Shenzhen’s innovation ecosystem integrates edge intelligence with software and hardware into its urban development strategy. The newly established Shenzhen Leading Edge Intelligence Open Research Institute is tackling 12 core technical areas in collaboration with chip, algorithm, and robotics companies, aiming to build a safe and efficient intelligent ecosystem.

Looking ahead, China’s AI global expansion must meet high ecological standards. Experts emphasize that regardless of terminal iterations, success depends on integrating “chip, algorithm, agent” logic and maintaining compatibility with international ecosystems. This approach is essential to build globally influential AI industry clusters.

source: Xinhua News