China’s overlooked internet army is quietly embedding AI into everyday businesses

China’s artificial intelligence landscape is expanding beyond the country’s high-profile AI laboratories, with a growing number of consumer technology companies developing their own in-house models for everyday applications.

While companies such as DeepSeek, Z.ai (Zhipu AI), Moonshot AI and MiniMax have attracted international attention as China’s leading AI developers, businesses operating in sectors such as e-commerce, gaming, social media and travel are increasingly investing in foundation models designed specifically for their own digital ecosystems.

The trend reflects a broader shift in China’s technology industry, as major platforms seek greater control over their artificial intelligence capabilities rather than depending entirely on external AI providers.

One recent example comes from RedNote, the lifestyle and social media platform widely viewed as a Chinese counterpart to Instagram. Earlier this month, the company’s artificial intelligence research division, Dots Studio, released Dots3-Note Preview, an open-weight model containing 280 billion parameters.

According to Dots Studio, the model demonstrated competitive performance against several leading AI systems in selected benchmark tests. The company said Dots3-Note Preview matched or exceeded models developed by US technology companies OpenAI and Anthropic, as well as Chinese AI firms DeepSeek and Z.ai, in certain tasks.

The development marks an interesting expansion for RedNote, which is primarily known for lifestyle-oriented content covering areas such as fashion, travel, beauty and shopping. Its investment in AI demonstrates how platforms traditionally associated with consumer content are increasingly becoming technology developers in their own right.

Dots Studio said its objective was to develop artificial intelligence capable of helping users address practical challenges in their daily lives. The company’s approach points towards AI systems that are closely connected to the specific needs and behaviour of users within a particular digital platform.

The development of Dots3-Note Preview also illustrates how AI capabilities are becoming increasingly integrated into China’s consumer technology ecosystem. Instead of limiting artificial intelligence development to specialised research laboratories, companies with large existing user bases are using their own platforms and datasets as foundations for developing customised AI technologies.

For e-commerce companies, for example, specialised models can potentially improve product discovery, recommendations and customer interactions. Social media platforms can apply AI to content creation, search and personalisation, while gaming and travel companies can develop models designed around their own specialised services.

Industry analysts see this movement as part of a wider transformation within China’s technology sector. Consumer-facing companies are increasingly recognising the strategic value of developing proprietary AI systems that can be tailored to their business operations and user communities.

The approach could also reduce dependence on third-party AI providers while giving technology companies greater flexibility in determining how artificial intelligence is integrated into their products.

China’s AI competition, therefore, is developing on multiple fronts. Alongside the highly visible race among dedicated AI laboratories, a less publicised group of established technology platforms is building specialised systems designed for everyday consumer applications.

The emergence of these in-house AI models suggests that the next phase of China’s artificial intelligence industry may not be defined solely by standalone AI companies. Instead, some of the country’s most widely used consumer platforms could increasingly become important AI developers themselves, embedding advanced models directly into the services used by millions of people.

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