Last year, the color TV market was slow, and artificial intelligence emerged as a new strategy for manufacturers to find innovation. However, there are still many differing opinions within the industry about how best to meet user needs. One thing is clear: although AI TVs have become a "new avenue," the AI technology used by various manufacturers still has a long way to go. For color TV companies to truly capitalize on this opportunity, they must focus on and address the following three key challenges.
**Question 1: How to Upgrade the AI System?**
The integration of artificial intelligence with television is an inevitable trend in the industry. As AI gains momentum, many manufacturers are accelerating their efforts to develop AI-enabled TVs. However, it's important to note that before the rise of AI TVs, most manufacturers were offering smart TVs with limited AI capabilities.
So, how can companies effectively upgrade their existing stock of smart TVs to AI models? Currently, some brands are already taking action. For example, Hisense recently announced a full system upgrade from VIDAA Smart to VIDAA AI, applying AI enhancements to over 30 models launched between 2015 and 2017. This approach is commendable and could serve as a model for others to follow.
However, Nail Technology also warns that during the AI upgrade process, manufacturers must consider the hardware limitations of older models. AI functions often require more powerful hardware, and if the existing devices aren't up to the task, the user experience may suffer. To tackle this issue, TV companies need practical and effective solutions to ensure a smooth transition to AI.
**Question 2: How to Solve Homogenization?**
As AI becomes a standard feature in TVs, the question of product differentiation becomes increasingly important. Unfortunately, AI TVs today are still quite similar in terms of features and performance. Most AI capabilities revolve around voice interaction and personalized recommendations—features that are relatively easy to implement, leading to a high degree of homogenization.
Take voice interaction, for instance. Many companies rely on partnerships with firms like HKUST or Baidu to integrate these technologies into their products, resulting in little variation between different brands. Similarly, personalized recommendations depend heavily on big data processing, and while each company may have its own algorithms, the differences are not significant enough to stand out.
That said, major brands like Hisense, Skyworth, TCL, and Changhong do have an advantage due to their large user bases and established online platforms. Still, to differentiate themselves, companies must invest in improving technical barriers and identifying unique selling points that set them apart.
**Question 3: How Can the “Killer†Application Emerge?**
While AI TVs are certainly more advanced than traditional smart TVs, they haven’t yet reached a level where users are rushing to buy them. A major reason for this is the lack of a true "killer" application—one that delivers a compelling and unique user experience.
In the past, products like WeChat gained popularity largely because of a standout feature—such as voice chat—which became its defining "killer" application. In the same way, AI TVs need to offer something that truly captivates users beyond just improved voice interaction or recommendation systems.
Currently, AI TVs don’t have any applications that are particularly appealing or groundbreaking. In a world where user experience is king, simply talking about AI or showcasing a vision won’t be enough to impress consumers. The absence of a killer app is both a challenge and an opportunity. Moving forward, TV companies should focus on developing and nurturing applications that truly resonate with users, while also strengthening the core AI capabilities of their products.
In conclusion, while many color TV manufacturers are entering the AI space, the development of AI TVs is still in its early stages. The journey for these companies in the AI field will be long and challenging. However, it’s clear that those who can successfully solve the three key issues—upgrading AI systems, overcoming homogenization, and creating a killer app—will be the ones to capture the most favorable position in the market.
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