虎嗅

What needs more evolution than AI is houses.

原文:比AI更需要进化的,是房子

Summary of Key Points

AI-native residences are becoming the next ultimate terminal in the era of Physical AI (AI that can interact with the real world). Habitat Company is reimagining housing using the same principles applied to car manufacturing—integrating sensors, computing power, and control systems from the very beginning of the design process, rather than adding smart devices afterward. This approach addresses the issue of traditional smart homes, which often function independently and lack overall coordination. Capital (from industry players like Li Auto to government funds) is increasingly investing in this new category, focusing on establishing the definition of this product category and Habitat’s unique engineering capabilities, such as self-developed chassis, self-built factories, and digital twin delivery methods. In the future, AI residences will evolve like smart cars through over-the-air (OTA) updates, becoming “spatial organisms” that can sense needs and improve themselves.

Why Have AI-Native Residences Suddenly Become So Popular?

In the past, AI was used in the digital world (for generating images, text, and conducting conversations), but to enter real life, a suitable “terminal” is needed. Cars and robots are already on the way, and the home is the most everyday and complex environment (used daily with constantly changing layouts and needs). However, traditional smart homes consist of independently functioning components (lights, curtains, etc.) that require manual commands, meaning “people have to find the devices” rather than the devices “understanding people.”

AI needs the home environment to prove its practicality, and the home needs AI to enhance the user experience. The smart home market is approaching a trillion-dollar value in 2026, but people are tired of superficial intelligence. Current homes are poorly prepared for AI integration: they have irregular layouts, incompatible device protocols, and numerous data silos, making it difficult for AI to understand the overall space. Therefore, the key to integrating AI is to shift from “device intelligence” to “space intelligence”—enabling the entire house to sense its own state and respond autonomously, rather than relying on human commands.

How Does Building Homes Using Car-Making Methods Work?

Traditional housing is constructed in a piecemeal manner: developers sell houses, renovation companies carry out construction, and home appliance retailers sell individual products, which are then assembled together. No one is responsible for the overall intelligence of the home. This is like trying to install autonomous driving in a car without an electronic framework—it simply won’t work.

Habitat is adopting car manufacturing principles to create a “complete product” approach:

1. Three-tier structure: The base layer includes a standardized smart chassis (with sensors, computing power, and control systems embedded in walls, ceilings, and floors); the middle layer consists of flexible living modules (such as adjustable room layouts); the top layer offers personalized appearances (to meet aesthetic preferences).

2. Digital twin: A virtual replica of the entire design, production, and delivery process is created in computers to identify and solve issues before construction begins.

3. Forward-facing development: Instead of adding smart devices afterward, the smart system and the physical space are integrated from the start (creating both “soul” and “body” together).

In other words, the house is designed as a “smart car”—what you buy is not a collection of parts but a complete product that can coordinate and evolve over time.

Why Is Capital Investing in Habitat Despite a Cold Hardware Market?

Although investors are cautious about the hardware and home improvement sectors, Habitat is attracting significant funding:

  • Industry expertise: Investors like Li Auto and Stone Technology have experienced the challenges of transforming complex technologies into stable products. Habitat’s car-making approach addresses these challenges by streamlining the fragmented housing industry chain.
  • Government support: The investment led by the Changzhou New North District Science and Technology Innovation Fund indicates that policies recognize this as a future direction.
  • Strong competitive advantages: Habitat does not rely on light asset outsourcing; it develops its own chassis, builds its own factories, and uses digital twins for delivery. These capabilities are difficult for others to replicate quickly. Algorithms can be copied, and hardware can be sourced from suppliers, but the integrated system that spans design, manufacturing, and delivery takes years or even decades to develop.

Capital is betting on the definition of the “AI-native residence” category—whichever company succeeds in making this a reality will become the future “smart home manufacturer.”

What Will the Future of AI-Native Residences Look Like?

Habitat has outlined a roadmap for the development of AI-native residences:

  • L1 (current stage): Integration of software and hardware in the space, transforming a “piecemeal” structure into a “complete product.”
  • L2 (coming soon): AI agents will act as the “brain” of the home, automatically adjusting settings (e.g., lighting and temperature) upon the owner’s return.
  • L3: Embodied intelligence will enter the home (e.g., robots helping with tasks like fetching items and organizing the room).
  • L4: “Silicon-based companions”—homes that can operate completely autonomously, acting as intelligent assistants.

Ultimately, homes will evolve into “evolving organisms.” Just like smart cars, they will be able to learn from user habits through software updates (e.g., automatically adjusting the lighting and playing music before bedtime) and adapt to different life stages (e.g., adjusting socket heights and adding safety features for children).

By then, you might not even realize the presence of AI—the space will silently take care of everything, making the concept of “poetic dwelling” a reality.

Conclusion

The essence of AI-native residences is to transform a “static physical container” into a “dynamic intelligent terminal.” It’s not about adding a few smart devices; it’s about reimagining the entire housing industry chain. The ongoing investment indicates that this concept is moving from theory to reality. In the future, our homes could truly understand our needs and adapt to our lives, just as the characters in movies do.