Avoid "old wine in new bottles", pay attention to the same frequency resonance of technological innovation and application innovation, promote the "Internet plus" iterative upgrading to "artificial intelligence+", which will greatly promote consumption expansion and quality improvement, focus on the key areas such as scenario mining, overall planning of computing power, safety assurance, etc., promote coordination with policies, and optimize resource allocation, so that artificial intelligence can become a universal infrastructure, and help small and medium-sized enterprises build a good consumption environment online shopping "choice difficulty", I believe you and I have it. I want to buy an electric toothbrush, but there are many products available. After selecting a few products with "eye appeal" and putting them in my shopping cart, I put them on the shelf. Not long ago, the platform upgraded its intelligent shopping system. After inputting requirements, the system identified the consumption characteristics of "value for money" by analyzing browsing time, comparison frequency, etc., and accurately pushed a certain brand's products that participated in the "trade in" program, with significant price discounts. While placing the order, I sighed: I didn't expect artificial intelligence to understand me so well. Thinking of the experience of going to a shopping center during the Spring Festival holiday. When passing by a cosmetics counter of a certain brand, my lover was attracted by the smart makeup mirror. By tapping the screen, you can easily switch between red colored shades with just one click, and simulate the effects of different makeup looks, eliminating the hassle of repeated application. Beautiful, this one is perfect for you! "With the assistance of the staff, she gladly paid the bill. Look, whether online or offline, artificial intelligence has transformed into an "invisible salesperson" and quietly integrated into life. The "Special Action Plan for Boosting Consumption" proposes to promote "artificial intelligence+consumption", and this year's "Government Work Report" deploys the "continuous promotion of" artificial intelligence+"action. During the National People's Congress and the Chinese People's Political Consultative Conference, representatives and members of the committee discussed the prospects of" artificial intelligence+consumption ". How to overcome the bottlenecks of traditional consumption models, such as supply-demand mismatch, single experience, and lagging innovation, as the consumer market accelerates its transformation and upgrading? The coupling of artificial intelligence and consumption provides us with a new perspective for observation. By leveraging new technologies to drive new applications, new consumer demands can be met. From "passive screening" to "precise capture", from "empiricism" to "data-driven", artificial intelligence has met consumers' new expectations. Not to mention virtual fitting, intelligent customer service, and exoskeleton robots that assist in mountain climbing, just the fact that merchants in Yiwu, Zhejiang have used artificial intelligence models to automatically generate sales videos in dozens of languages and sold 2 million pairs of socks can well illustrate the trend of development. In the future, artificial intelligence can accurately perceive consumer demand in more fields and effectively enhance the consumer experience. For example, for cultural tourism, personalized travel guides can be developed to assist elderly tourists in intelligent health management; For real estate transactions, the transaction process can be simplified through methods such as live streaming with digital humans and "AI brokers". Avoid "old wine in new bottles", pay attention to the same frequency resonance of technological innovation and application innovation, promote the "Internet plus" iterative upgrading to "artificial intelligence+", which will greatly promote consumption expansion and quality improvement. Creating new business models with new scenarios can not only provide assistance for industrial upgrading, but also cultivate more new consumption patterns. Taking driving as an example, car owners often face the challenge of finding a parking spot. If artificial intelligence is used to create an open platform, car owners can book parking spaces in advance, receive timely traffic avoidance suggestions, and the platform can also recommend corresponding low-priced charging periods based on car owners' daily commuting habits. Promoting the parking industry to transition from a single online payment model for parking fees to intelligent parking management is beneficial for car owners to "smart parking" and precise operation of parking lots. Artificial intelligence is not just about technological empowerment, but also signifies an industrial transformation. For platforms and merchants, they should not only be good at innovation, creating fresh application scenarios and business models, but also strengthen user thinking, shifting from "finding ways to push products to consumers" to "helping consumers find the right products". If artificial intelligence is used well, it can become an "incubator" for the birth of new products and services, an "amplifier" for expanding consumer scenarios, and an "accelerator" for improving industrial efficiency. The Development Report on Generative Artificial Intelligence Applications (2024) shows that China has initially established a relatively comprehensive artificial intelligence industry system, with over 4500 related enterprises and a core industry scale of nearly 600 billion yuan. This has laid a solid foundation for the development of "artificial intelligence+consumption". To promote the strengthening, supplementation, and extension of the artificial intelligence industry chain, it is also necessary to target key upstream and downstream links such as chips, algorithms, data, platforms, and applications, further strengthen policy supply, and consolidate policy synergy. Meanwhile, there are numerous small and medium-sized enterprises in the consumer sector. Mismatch between supply and demand, shortage of computing power resources, and data security risks are common issues faced by the embrace of artificial intelligence. Focusing on key areas such as scenario mining, computing power coordination, and security assurance, policies can promote collaboration and optimize resource allocation in order to make artificial intelligence a universal infrastructure and help small and medium-sized enterprises build a good consumption environment. Taking human value as the center and technological innovation as the radius, draw concentric circles to boost consumption, activate the economy, and make our lives better. (New Society)