In the early days of smart homes, when the term “smart home appliances†was still in its infancy, industry leaders began to realize that the concept of “smart†was losing its appeal. To stay relevant, new products had to be wrapped in the more fashionable label of “artificial intelligence,†or AI. As a result, AI became the new buzzword for smart devices like color TVs, even though it was far from being practically mature.
While scientists and philosophers continue to debate whether AI is a blessing or a curse, we are already witnessing how AI is being pushed into the market with little real-world application. The question remains: Is this a genuine advancement or just another gimmick?
**The Early Stage of Artificial Intelligence**
Recently, a paper published on Cornell University’s website gained widespread attention. Titled “Intelligence Intelligence and Intelligence Level Research of Artificial Intelligence,†it was authored by researchers from three Chinese institutions specializing in economics and data science. According to the study, a standard model for measuring AI has been established, and AI systems such as Google, Microsoft, Baidu, and Apple Siri were analyzed for their intelligence levels.
The research team tested AI IQs in 2014 and 2016, revealing that although AI has made progress, it still lags behind a six-year-old child. Moreover, the paper categorizes AI into seven levels, with AlphaGo only reaching the third level. This shows that current AI is still in the early stages of development, with a long way to go before it can truly interact and understand human needs.
**Artificial Intelligence TVs: A Long Road Ahead**
As a leader in the smart home industry, artificial intelligence is seen as a key component for human-computer interaction. Companies are investing heavily in R&D, often using AI as a selling point to attract consumers. Many TV brands have launched AI-enabled models, claiming they offer smarter, more interactive experiences.
However, despite the hype, most AI TVs on the market are still in the exploratory phase. Few actually deliver on the promise of true artificial intelligence. Instead, many are pseudo-AI products that flood the market without real functionality.
In 2016, Changhong introduced the world’s first AI TV, the CHiQ Q3R, marking the beginning of the AI TV era. Since then, many brands followed suit, promoting AI as a key feature. But according to the “2017 AI TV White Paper,†which outlines the true essence of AI TVs, very few products today meet the standards.
For instance, voice control — one of the most common AI features — often fails to recognize commands accurately or perform complex tasks. Even simple actions like switching between apps are not smooth, making the AI experience feel more like a gimmick than a genuine improvement.
**Is AI Really Smart?**
If AI TVs are unable to replace traditional remote controls, will consumers embrace them? The answer seems clear. At this stage, AI is still far from being a practical and intuitive solution for everyday use.
Despite rapid technological progress, AI in home appliances remains immature. Voice recognition, image analysis, content selection, and game integration all fall short of expectations. For now, AI is more of a concept than a fully realized technology.
**Don’t Let AI Become a Fad**
With the upcoming Double Eleven shopping festival, many TV brands are pushing AI as a key selling point. However, this could be a dangerous trend if AI is overhyped and poorly implemented.
When AI is used as a marketing gimmick rather than a real innovation, it risks alienating consumers. Poor user experiences, slow response times, and low accuracy can quickly turn customers off, leading to negative reviews and lost trust.
History shows that some once-touted technologies, like 3D and CRT rear projection, eventually faded away because they failed to deliver on promises. Could AI follow the same path?
For consumers, AI TVs are more expensive than regular smart TVs, and their value is still questionable. Consumer confidence is fragile, built on curiosity and experimentation. To protect both consumer trust and brand reputation, companies must approach AI with caution, focusing on real improvements rather than empty slogans.
Only through patient development and real-world applications can AI become a meaningful force in the market.
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