After a humanoid robot performed a highly complex dance on CCTV's Spring Festival Gala, it quickly went viral, leading to a surge in orders for its manufacturer, Hangzhou Unitree Robotics, and attracting simultaneous attention from capital and industry. Its commercial significance far exceeds that of a mere "traffic event": this is not a marketing success, but rather a public verification of the technology's usability.
Previously, the robotics industry was long stuck in a stage of "technology existing only in the laboratory → difficult to commercialize in industrial scenarios → cautious niche commercialization by capital." This event signifies that humanoid robots have, for the first time, crossed the technology verification stage and entered the cognitive commercialization stage.
Following this event, humanoid robots have entered the "cognitive commercialization stage," namely: entering a stage of technological credibility → scenario imagination → pre-pricing by capital. From a cognitive perspective, we define this as the "iPhone moment" for the humanoid robot industry. Similar to how electric vehicles gained true consumer acceptance after autonomous driving demonstrations and mass production experiences—corresponding to Tesla's market path—the market first believed that "it will definitely happen in the future."
Consumers don't understand robot parameters; they only understand "moving like a human." The biggest problem in the robot industry has never been technological capability, but rather society's lack of belief in its usefulness.
Past difficulties in the robot industry included:
· Walking ≠ Usability
· Recognition ≠ Interaction
· Grasping ≠ Service
· The significance of the Spring Festival Gala dance demonstration lies in "continuous movement + stable balance + rhythmic synchronization + precise stability."
This means the industry is evolving from automated equipment to a general-purpose capability platform. This is a crucial turning point in the industry's valuation model, representing the robot's ability to cross the psychological threshold of "demonstrable → collaborative."
Robots are acquiring "emotional value attributes" for the first time:
| Past Positioning | Current Positioning |
| Automated Equipment | Intelligent Partner |
| Production Tool | Life Participant |
| Corporate Procurement | Personal Purchase |
This is highly similar to the early stages of smartphones, which can be understood as first being seen as "technology toys" and later becoming "life entry points."
Changes in order structure are more important than quantity:
Stage | Main Customers |
Past | Factory / Laboratory / Government |
Present | Education / Commercial Demonstration / Home |
Future | Serving the workforce |
Similar to pets, smart speakers, and trendy toys, this will significantly expand TAM (Total Market Size).
The global capital market is shifting from valuing AI software to valuing AI entities. Humanoid robots are the only form of AI that can directly enter the GDP distribution structure because they correspond to the labor cost market.
The biggest difference between humanoid robots and ordinary AI lies in their direct integration into the GDP distribution structure. AI changes mental labor, while robots change physical labor; their combination signifies a technological rewriting of the labor cost curve.
Upstream: High Barriers + Long Cycles + High Bargaining Power:
Modules | Key Technologies | Investment Attributes |
| Reducers | Precision Machinery | High Moat |
| Torque Motors | Electric Drive Control | New Energy-like Motors |
Sensors | Perception | Semiconductor Logic |
| AI Controllers | Large Models + Motion | New Computing Platforms |
Batteries | High Rate | Power Battery-like |
Midstream: Highest Attention from OEMs, but Most Volatile:
| Sector | Attribute | Value Level |
| Precision Reducer | Mechanical Core | ★★★★★ |
| Torque Motor | Power Core | ★★★★★ |
| Sensor | Perception Core | ★★★★ |
| Controller | Intelligence Core | ★★★★★ |
| Battery | Energy Core | ★★★★ |
OEM brands receive the most attention, but profits fluctuate the most. Representative Chinese companies: UBTECH, CloudMinds, Hangzhou Unitree Automation.
Downstream: Application ecosystem is the largest potential market and the largest long-term market, but it will take 2-5 years to explode.
The order of the potentially largest application scenarios:
1. Commercial demonstration and services (earliest implementation)
2. Security patrol
3. Warehousing and logistics
4. Medical assistance
5. Elderly care (latest but largest market growth)
6. Family companionship (endgame market)
Using an industry cycle analogy:
Industry | Current Stage |
| Autonomous driving | L2–L3 |
| AI large-scale model | Early stage of internetization |
| Humanoid robots | Usability verification period |
Key characteristics:
· High unit price (100,000–150,000 RMB)
· Unstable use cases
· Lack of developer ecosystem
| Indicators | Current status |
| Price | High |
| Scenario | Unstable |
| Demand | Tentative |
| Ecosystem | Not yet formed |
Under the synergy of policy and manufacturing systems, China's robotics industry exhibits systemic advantages—
· Policy Direction: The Ministry of Industry and Information Technology's manufacturing upgrade roadmap;
· Research Reserves: Algorithm accumulation from universities such as Tsinghua University;
· ndustry Practice: Application of service and security robots at the Beijing Winter Olympics;
· Consumer-level Precedent: DJI's global drone rollout.
Below this price → Explosive growth in the home market; otherwise, entry into the home market is impossible.
Key Cost Reduction Paths:
• Mass production of motors
• Integrated joint modules
• AI cloudification (reducing computing power costs)
The real explosion comes from cost reduction by enterprises, not home entertainment. Currently, the problem with robots is not insufficient capabilities, but the lack of a compelling reason to use them.
Real Explosion Point: When robots become cheaper than humans.
Timeframe: 2028-2032
The core of future competition is not hardware performance, but the "skill ecosystem store." The robot operating system will become the next-generation platform entry point, similar to the App Store → Robot Store.
Based on the core logic of our institution's long-term value investment and industry co-growth philosophy:
• Favoring industry, not product;
• Favoring capabilities, not concepts.
Allocation Strategy:
Sector | Weight | Logic |
| Core Components | 40% | Industry Moat |
| AI Control & Systems | 25% | Platform Value / Software-Defined Robots |
System Leader | 20% | Industry Beta |
| Service Operations | 15% | Long-term alpha/post-cycle burst |
Three-Stage Layout Path
Objective: Secure a foothold in domestic substitution of key components and industrial infrastructure
Keywords: Import substitution
Focus: Motors / Reducers / Controllers
Objective: Develop robot operating systems and platform companies
Keywords: Operating System
Focus: Robot Operating System + AI Motion Model
Objective: Leveraging the dividends of social structural changes to enter the labor service operation market
Keywords: Labor substitution
Focus: Elderly care, commercial services, home robot service operation
1) Humanoid robots are not consumer electronics → they are new means of labor production;
2) Commercial explosion will not come from the home → it will come from cost reduction on the enterprise side;
3) The industry will not be diverse → it will be highly concentrated;
4) China is most likely to become a global manufacturing and application center → similar to the photovoltaic + electric vehicle path.