Unleashing the potential of AI big models to promote consumption
2025-04-07
This year's Government Work Report proposes to continue promoting the "Artificial Intelligence+" action, aiming to seize the opportunity of breakthroughs in artificial intelligence technology, fully integrate China's digital technology with manufacturing advantages and market size advantages, promote the widespread application of artificial intelligence models, and truly empower thousands of industries and households. In the context of building a new development pattern strategy, AI big models are full of "modeling" power in activating domestic demand markets, promoting consumption upgrading, and other aspects. With the rapid development of artificial intelligence technology, AI has penetrated into all scenarios of clothing, food, housing, and transportation, and more personalized new consumer products are emerging one after another. From smart terminals to smart homes, from creative design tools to personalized educational products, the integration of large models has endowed products with unprecedented "smart cores", driving consumption to transition from functional satisfaction to experience enhancement. Taking intelligent office products as an example, the future intelligent launch of the Viaim Meeting Dog Kit2, equipped with a large model, can support multiple modes of recording and transcription, and can also generate summaries and to-do lists with just one click, without the need for manual organization, saving time and effort. In the field of creative design, Ke Ling AI powered by large models can generate images and videos that users want by simply inputting text descriptions, which stimulates consumer demand for related creative products. The application of AI big models has also innovated consumer scenarios, providing a brand new experience for shopping and consumption. In physical space, multimodal perception systems can analyze consumer behavior trajectories in real time and transform product displays into dynamic interactive interfaces. In the digital space, virtual avatar technology breaks through screen limitations and constructs a three-dimensional immersive shopping mall. In the Kwai studio, consumers can try AI fitting. They can see the upper body effect of the clothes without buying them back, and help consumers choose their favorite colors and styles. The AI big model is deconstructing the temporal and spatial boundaries of traditional consumer scenarios and rebuilding intelligent interfaces that blend reality and virtuality. This spatial reconstruction transforms consumer behavior from single choice to two-way dialogue. From products to scenarios, AI big models have brought new space to the consumer market. Data shows that over 70% of consumers are willing to pay a premium for immersive shopping experiences, and the application of technologies such as AR fitting and intelligent shopping robots can increase the average customer price by more than 15%. In the face of such potential, how to further leverage the enormous "modeling" power of AI models to boost consumption has become a necessary issue. Enterprises should continue to increase investment in AI technology research and development, use AI models to build dynamic consumer demand maps, capture subtle shifts in consumer preferences in real time, and transform consumers' vague demand intentions into clear service solutions. Only by achieving personalized services and products that cater to thousands of people can consumers be more willing to pay and achieve the goal of "pushing what they want to buy" and "buying what they want". The government needs to take a dual approach in policy and regulation. In terms of policies, we will introduce tax incentives, project subsidies, and other policies to provide a favorable policy environment for the application of AI in the consumer field, reduce the cost of AI research and application, and stimulate the innovation vitality of enterprises; Establish a special fund to support enterprises in collaborating with universities to tackle technological challenges in areas such as intelligent decision engines, virtual real integration and interaction, and trustworthy consumer chains. At the regulatory level, strict data security and algorithm application rules should be formulated to prevent data leakage, algorithm discrimination, big data murder, and protect the legitimate rights and interests of consumers. (New Society)
Edit:He Chuanning Responsible editor:Su Suiyue
Source:ECONOMIC DAILY
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