Many consumers have a similar experience: the more smart devices they buy at home, the more they use them, but the user experience becomes worse and worse: no response to voice commands for a long time, all linked devices are paralyzed when the network is stuck, and family privacy data needs to be uploaded to a third-party cloud, so there is always a risk of leakage.
With the mature implementation of local AI technology in 2026, these pain points that have plagued the industry for many years will be completely solved, and the smart home industry will finally usher in a real revolution.
What is local AI?
In the past, smart homes used the “cloud brain” model: the voice commands issued by the user and the home data collected by the device needed to be uploaded to a cloud server thousands of miles away to complete the calculation, and then the results were returned to the device for execution. Not only was the response speed slow, but there were also many security risks in the process of data transmission and storage.
Local AI is equivalent to installing a “smart brain” directly at home. All calculations, recognition, and decision-making are completed on devices inside the home. It can be used normally without the need for an Internet connection. Data will not flow out of the home environment, and the response speed has also been greatly improved.
Three core breakthroughs in local AI to reconstruct the smart experience
The first is the order-of-magnitude improvement in response speed.
In the past cloud mode, users often had to wait 2-3 seconds to get a response after issuing the “turn on the lights” command, and occasionally recognition failures occurred. However, the response speed of devices equipped with local AI can reach 0.1 seconds. The device can execute the command as soon as the user speaks, and even if the network is completely disconnected, the use of core functions will not be affected.
The second is that privacy security is fundamentally guaranteed.
In the local AI mode, all voice, video, and home usage data are processed locally without uploading to the cloud, which fundamentally avoids the risk of data leakage. With chip-level encryption technology, home data will not be stolen even if it is attacked by a hacker.
The third is to truly realize active intelligence.
In the past, smart homes required users to set linkage rules in advance, which was equivalent to teaching the device to do things. However, devices equipped with local AI can proactively sense user needs and provide services: recognize the user’s footsteps returning home and automatically turn on the air conditioner to adjust to the appropriate temperature. If an elderly person falls, they will immediately push an alarm to notify their family members. If a child is recognized to be close to dangerous areas such as balconies and sockets, a reminder will be issued as soon as possible, truly realizing an intelligent experience that “understands you”.
These local AI devices have been put into mass production
Currently, local AI is no longer a conceptual technology, and there are already many mature commercial products on the market: first, the smart hub gateway, as the “brain” of whole-house AI, is generally equipped with more than 6T of computing power and can support local linkage of hundreds of smart devices at the same time. Even if the network is disconnected, it will not affect the normal operation of the device; secondly, AI smart door locks, which are no longer
It is limited to simple fingerprint and password recognition. It is equipped with local algorithms that can identify abnormal unlocking behaviors in real time, and can instantly trigger alarms when encountering lock picking, technical unlocking, etc.; there are also smart cameras, which have evolved from simple “recording tools” to “family observers”. They can identify various behaviors in home scenes and support natural language retrieval. Users only need to ask “Where did I put my keys yesterday?” and the corresponding video clips can be directly called up.
Avoid pitfalls when purchasing local AI devices
Guide
Currently, many manufacturers are focusing on the concept of “AI intelligence”. Consumers should be careful when purchasing to avoid being fooled by word games: products that only support cloud AI are not considered true intelligence, products without local computing power are just marketing gimmicks, and products that become paralyzed when disconnected from the Internet have already been eliminated.
A true local AI device must meet three conditions: first, it must have its own NPU/AI computing power chip, secondly, it must be clearly marked by the official as “local processing” for the core function, and finally, it must support running core functions offline.
At present, local AI technology is still in the early stages of development, the overall price is high, and the ecosystem is still in the process of improvement, but the technical direction is very clear, which is an irreversible revolution in the smart home industry from functional machines to smartphones.
Users who just need it can first choose a central gateway that supports local AI to build a whole-house smart system. Consumers with limited budgets can wait and see for another year or so. By then, product prices will have dropped significantly and the ecosystem will have become more mature. Users who have already purchased traditional smart devices do not need to rush to replace them. They can wait for about half a year before the technology is further implemented before making upgrade plans.
