The Era of Mass Production for Embodied Intelligence Is Coming: Siwei Finance Partners with Future Robot to Explore New Paradigms in AI Robot Industry

(Source: Investor Network - Thinking Finance)

2026 is defined by the industry as the first year of mass production for embodied intelligent robots. As computing power and algorithm benefits move from the cloud to physical devices, the AI robot industry is reaching a critical turning point from technological research and development to large-scale manufacturing. On March 20, the “Embodied Intelligence · The New Future of Physical AI — A New Paradigm for the AI Robot Industry Private Salon” was successfully held at the Lujiazui Riverside Center in Shanghai, jointly organized by Thinking Finance and Future Robots. The event gathered top securities analysts, industry leaders, listed companies, and seasoned investors, focusing on the core topics of industry mass production in 2026, analyzing real opportunities and challenges in the AI robot sector, and building an efficient communication bridge between technology and capital.

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As a core force in capital market research, Feng Liang, Chief Analyst of Machinery at Tianfeng Securities, delivered a keynote speech titled “2026 AI Sector New Mainline: Investment Opportunities from Computing Power, Models to Embodied Intelligence,” providing insights into the capital logic of the AI robot industry. Feng Liang pointed out that the robot industry has already transitioned from “conceptual layout” to “rapid growth,” with clear mass production plans from automakers like Tesla driving a significant breakthrough in global robot shipments. 2026 is expected to become the true year of industry mass production.

In terms of investment logic, Feng Liang emphasized that “filtering out the false and retaining the true” is the current key phrase. On one hand, T-Chain has gained market certainty premiums, and Q1 2026 will be a critical window for suppliers to finalize orders and increase shipments, accelerating the commercialization pace of the industry. On the other hand, technological iteration continues to empower industry upgrades, with new technologies such as axial flux motors and multimodal electronic skin opening up new avenues for upstream and downstream industry chain profits, injecting sustained momentum into sector development.

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Breaking through industry practice: core self-developed technology to build barriers, validating commercial capabilities with orders of thousands

While capital focuses on “when to scale up,” industry players are more concerned with “how to implement.” Future Robot founder and CEO Tu Guangyu shared practical experience on “Commercialization of Embodied Intelligence: From Technology to Mass Production and Real-Scene Applications.” Tu Guangyu stated that the core barrier to commercializing embodied intelligence lies in the “integrated control of hardware and software,” with a fully controllable full-stack approach. The robotics industry has long faced challenges such as high hardware costs and supply chain constraints. In the future, robots will break through these bottlenecks by self-developing key components like high-power density joint modules, establishing a core technological moat.

Relying on the core path of “self-developed key components + spatial intelligent modules,” future robots will not only achieve excellent cost-performance but also gain the ability to operate dexterously in complex scenarios. Currently, the company has partnered with industry giants like Pingzhi Information and large operators, completing orders of thousands of units to verify commercial capabilities. Its products have rapidly penetrated various scenarios such as campus security and public inspection. This vertically focused, order-driven R&D model has become a typical example for domestic robot companies to achieve a closed-loop of commercialization, demonstrating China’s core competitiveness in the global embodied intelligence sector.

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Deep resonance between industry and finance: live demonstrations showcase strength, professional platforms build communication bridges

During the free discussion session, live robot demonstrations allowed attendees to experience AI robots’ perception, decision-making, and operational capabilities in dynamic environments firsthand. This visualized the previously theoretical “Physical AI” technology, achieving deep integration of technology and practice, and clearly demonstrating the solid progress from R&D to real-world application.

As a professional media platform dedicated to finance, Thinking Finance focuses on value discovery in capital markets and industry research. With transparency as its core principle, it provides in-depth services to financial institutions and listed companies, building communication bridges among enterprises, capital, and investors, and promoting synchronized resonance and mutual empowerment of technology and capital.

Currently, the commercialization exploration of embodied intelligence is just beginning, and the 2026 mass production window is a critical watershed for industry development. Thinking Finance will continue to position itself as an observer, recorder, and promoter of industry progress, leveraging its expertise in research and media dissemination, closely tracking the mass production process of the AI robot industry, deeply exploring industry samples with core competitiveness, and strengthening the communication bridge between industry and capital. Together with various professional forces, it will interpret the path of technological and industrial integration, uncover the commercial value of technological innovation, and jointly explore new opportunities in the physical AI era, supporting the high-quality development of China’s embodied intelligence industry.

(This article is for reference only and does not constitute investment advice. The market carries risks; please invest cautiously.)

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