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AI large model will reshape the smart home industry in 2026: an experience revolution from “remote control” to “really understands you”

曾被吐槽“实用性低、智商税”的智能家居行业,2026年迎来AI大模型带来的颠覆性变革。AI技术的深度融入让智能家居彻底摆脱“被动遥控”的传统定位,转向主动理解、预判用户需求的智能服务角色,三大核心能力、三大行业新趋势正在重新定义全球家庭的居住体验,目前中国相关智能家电产品已经进入规模化落地阶段,即将掀起全球家庭智能升级的新热潮。

Is your smart home really “smart”?

I believe that many consumers have had similar bad experiences: a whole-house smart system that cost tens of thousands of yuan to configure only uses the function of “turning on the lights by voice” on a daily basis; the voice assistant known as the “all-round smart housekeeper” can’t even carry out continuous conversations. To give instructions, you have to recite fixed words in a precise manner. If you say a wrong keyword, the recognition fails, and the experience is greatly reduced.

With the entry of large AI models, smart homes have finally “enlightened”

In 2026, these pain points that have plagued the industry for many years are being completely solved.
The deep integration of AI large models has officially moved smart homes from the “passive execution of instructions” stage to the “active understanding of needs” stage. This is not an ordinary functional upgrade, but a cognitive revolution in the entire smart home industry.

Smart central control screen equipped with AI large model

The smart central control screen equipped with AI large model becomes the core brain of the whole house intelligence

The experience gap between the two is very obvious: in the past, when you said “I’m a little cold” to the voice assistant, the reply you received was often “I didn’t understand, please say it again”; but now after hearing this sentence, the smart home system equipped with a large AI model will automatically increase the air conditioner by 2 degrees, close the window, and actively ask you if you need to turn on the electric blanket.
The former is just a blunt “command executor”, while the latter is the real “demand understander”.

Three core capabilities that subvert the traditional smart home experience

1. Natural language interaction, say whatever you want
Users no longer need to recite fixed instructions, they only need to casually state their needs, and the system will automatically match the corresponding scene.
For example, if you say “Help me create an atmosphere suitable for watching movies,” the system will automatically dim the lights, close the curtains, turn on the TV, and switch to theater mode without having to split multiple instructions and send them one by one.
It can even accurately understand the contextual dialogue. You say “turn on the living room lights”, “dim it a little” and “change to warm light” one after another. The system can identify the device corresponding to the command throughout the process without repeating the prefix each time.

2. Active learning, the more you use it, the better it will get to know you
The AI system will silently record the user’s living habits and automatically optimize the service strategy: if it finds that you get up at 7 o’clock every day, it will open the curtains and start the coffee machine 15 minutes in advance; if it finds that you are used to staying up late on weekends, it will automatically delay the time to turn off the lights at night; if it finds that you always feel cold after taking a bath, it will automatically increase the bathroom temperature before you finish bathing, truly “you can’t feel it working, but everything is just right.”

3. Multi-device collaboration, a true “whole-house intelligence” experience
In the past, smart home devices were all independent “information islands”, but now the large AI model is the “unified brain” of the whole-house devices.
For example, you only need to say “I’m going to bed”, and the system will simultaneously turn off all non-essential lights, lock the doors and windows of the whole house, activate security monitoring, set the air conditioner to sleep mode, switch the air purifier to silent mode, and automatically set the alarm clock for the next day. A single command can trigger the linkage of equipment throughout the house.

Whole-house intelligent multi-device collaboration scene

Full-house equipment collaborative linkage scenario under unified scheduling of AI large model

Three major issues worthy of attention in the smart home industry in 2026
Trend

Trend 1: Central control screen becomes the core entrance of AI
Smart central control with screen is replacing traditional smart speakers and becoming the core entrance of whole-house intelligence. A single screen integrates multiple functions such as voice assistant, scene control, security monitoring, and home information center. With the blessing of large AI models, the expandable service boundary far exceeds that of traditional equipment.

Trend 2: Localized AI becomes standard equipment
The past pain point of “becoming mentally retarded when disconnected from the Internet” is being solved. More and more devices support localized AI computing. Even if the home is disconnected from the Internet, the core intelligent functions can still run normally, and the user’s family privacy data does not need to be uploaded to the cloud. The security factor has been greatly improved.

Trend 3: Cross-ecological compatibility becomes a reality
In the past, consumers who chose brand A equipment were not compatible with brand B, and the problem of being kidnapped by the brand ecology was common. Now, as an intermediate scheduling layer, AI large models are breaking down the technical barriers of different brands. No matter which brand of smart devices they are, they can all be scheduled and coordinated through the AI system.

Purchase Suggestions for Global Consumers

Facing a new wave of smart home upgrades, ordinary consumers can refer to several practical suggestions when purchasing: First, give priority to products that support large AI models. This is not a marketing gimmick, but a real experience upgrade; second, do not blindly pursue a large number of devices, but give priority to products that can be linked. Three devices that can be linked are better than
The experience of 10 independent devices is 10 times better; thirdly, the configuration of sensors is important. Human body sensors, temperature and humidity sensors, light sensors, etc. are the “sensing organs” for AI to make accurate judgments. The more complete the configuration, the better the intelligent experience; fourthly, learning time should be reserved for the system. The system will learn the user’s usage habits in the first 1-2 months of installation, and the user experience will be significantly improved after running in.

After years of development, the smart home industry has finally reached a real technological inflection point. From “using mobile phones to remotely control home appliances” to “AI actively serving family members”, scenes that once only existed in science fiction movies have become a reality that is coming to fruition in 2026.
At present, Chinese smart home manufacturers have taken the lead in realizing mass production of related technologies, and a variety of cost-effective AI smart home products are being sold to the global market. In the future, they will bring a more comfortable and convenient smart living experience to global consumers.

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