When the rapidly developing artificial intelligence meets with China's super large consumer market, "artificial intelligence+consumption" becomes a key intersection point for policy layout and market development. The "Special Action Plan for Boosting Consumption" issued in March 2025 clearly proposes to promote "artificial intelligence+consumption" and open up a new high growth consumption track; The State Council has issued the 'Opinions on Deepening the Implementation of the' Artificial Intelligence+'Action', which focuses on improving the quality of 'Artificial Intelligence+' consumption; Many regions have also emphasized the promotion of "artificial intelligence+consumption" in their efforts to boost consumption. So, why can artificial intelligence "+" consume? How to promote the real implementation and effectiveness of "artificial intelligence+consumption"? To understand the concept of 'artificial intelligence+consumption', it is necessary to trace back to the fundamental relationship between technology and consumption. In fact, technology has never existed in isolation, and the relationship between technological innovation, industrial innovation, and consumer upgrading has always shown mutual shaping and collaborative evolution. Throughout human economic history, every disruptive technological innovation has changed existing production and consumption patterns, giving rise to new industrial forms and corresponding consumer scene systems. The first industrial revolution was marked by the invention and widespread use of the steam engine, which promoted large-scale production and the expansion of market geography, enabling local products from various countries to enter larger markets. The Second Industrial Revolution ushered human society into the era of electrification, and household appliances revolutionized the quality of family life, giving birth to the modern mass consumer market. The third industrial revolution takes information technology as the core. The Internet has broken the time and space constraints of retail and bred a number of global consumption platforms. The consumption pattern has also evolved from pure physical products to the integration of "physical products+digital products". It can be seen that significant technological innovation has always been an important engine driving the evolution of consumption. So, how did this process happen? Relevant innovation theories indicate that economic system transformation can be driven by introducing new products and production methods, opening up new markets, acquiring new raw materials, and implementing new organizations. This framework also helps us understand the mechanism by which technology affects consumption. Firstly, by creating new products, new demands can be directly stimulated. For example, smartphones not only revolutionize communication tools, but also give rise to new consumer experiences such as mobile payments, real-time navigation, and pan entertainment applications; Secondly, by utilizing new production methods, costs can be significantly reduced, making previously expensive goods more widely available, promoting the expansion of consumption scale and inclusiveness; Thirdly, by exploring new markets, connecting new resources, and continuously expanding the geographical and category boundaries of consumption; Fourthly, by utilizing new organizational forms to reconstruct consumption processes and relationships, consumers can transform from passive recipients to active participants and co creators. Currently, it is a consensus that technology empowers consumption, but there are still doubts about whether "artificial intelligence+consumption" can bring substantial breakthroughs, and they do not believe that "artificial intelligence+consumption" will bring effects different from other technologies. In fact, if we can grasp the key differences between artificial intelligence and previous technological revolutions, we can understand the consumption paradigm shift it will trigger. Firstly, existing technologies mainly serve the physical world and material production processes, while the core target of artificial intelligence is the cognitive world and decision-making processes. This means that the core elements of consumer activities, such as demand identification, decision-making, and experience evaluation, have become the objects of direct technological intervention and optimization. Secondly, existing technologies mainly address how to achieve established goals more efficiently, cost effectively, and over longer distances, while artificial intelligence can predict personalized needs, dynamically match resources, generate seemingly uncertain creative content, and better respond to forward-looking and uncertain issues such as "what to do, for whom to do it, and when to do it better". Once again, artificial intelligence can perceive subtle, instantaneous, and contextualized needs that traditional technology cannot capture, and drive production, recommendation, and customization. It is not about making the same product cheaper, but about making the combination of goods and services available to everyone different and 'most suitable for the present'. In addition, the integration of artificial intelligence with other cutting-edge technologies such as low altitude flight and additive manufacturing will also give rise to more new products and forms, opening up new consumer spaces. It should also be noted that consumption is often seen as a "slow variable", influenced by a series of complex factors such as income level, consumption habits, and psychological expectations. To promote the release of greater efficiency from "artificial intelligence+consumption" and accelerate consumption, it is necessary to coordinate multiple parties and form a system support. Accelerate product supply and expand consumption boundaries with new products and services. Promote the research and development iteration and large-scale implementation of intelligent terminal products such as intelligent connected vehicles, intelligent robots, and smart homes, and cultivate new forms of intelligent products. Taking multi-dimensional demand scenarios as the driving force, cultivate intelligent service formats with wider coverage and richer content, expand new consumption formats such as immersive experience consumption, personalized customization consumption, and emotional resonance consumption, and match residents' diversified and high-quality consumption needs. Intensify efforts in industrial empowerment and activate new drivers of personalized consumption through new production organization methods. Promote the deep integration of artificial intelligence with flexible manufacturing and intelligent supply chain, and develop large-scale customization capabilities based on real-time user data. Encourage relevant platform enterprises to develop lightweight and low-cost artificial intelligence toolkits, empower small and medium-sized merchants, lower the threshold for precision services and product innovation, and build an open and collaborative intelligent business ecosystem. Provide support to business entities and empower diverse participants with new market logic. By providing special subsidies, technology adaptation, and technical training, we aim to help the elderly, low-income groups, and others overcome the "smart consumption gap" and share the benefits of technology. At the same time, leveraging the network effect of artificial intelligence platforms, high-quality specialties and personalized tourism services in remote areas can be more accurately matched with national and even global demand, opening up new market space for small and medium-sized entities. Strengthen consumer safety and prevent technological risks with a new governance framework. Accelerate the construction of new market governance rules adapted to the digital economy, with a focus on establishing an agile and transparent algorithm supervision system, filing and ethical evaluation of recommendation, pricing, credit and other algorithms in the consumer sector, and ensuring fair trade. On the basis of strengthening personal information protection, explore a secure and trustworthy data element circulation system, balance innovation incentives and rights protection. In short, "artificial intelligence+consumption" is not a simple superposition, but a deep transformation that touches on the essence of consumption and optimizes the economic structure. The key lies in whether innovative institutional design can guide this technological revolution to truly serve the well-being of the people, and in the process, cultivate a more personalized, inclusive, and sustainable new consumption ecology, ultimately realizing the vision of "technology makes life better". (New Society)