The growth engine of China's textile and garment industry is undergoing a fundamental shift. In June 2025, eight ministries including the Ministry of Commerce jointly issued implementation opinions to accelerate AI+consumption, specifying 17 measures including smart wearables, intelligent retail, and flexible supply chains, directly targeting long-standing structural pain points such as long design cycles, high inventory, homogeneous competition, and weak offline experience. This is not a simple stimulus but a redefinition of the industry track.
Policy Highlights and Industry Landing Points
The implementation opinions focus on five major areas: intelligent product supply, commercial scenario innovation, digital retail upgrade, fiscal and financial support, and standard system construction. The expansion of smart wearable consumption is listed as a key direction, directly benefiting functional textile materials with health monitoring, temperature regulation, and flexible sensing capabilities. This means smart textiles and smart home textiles are no longer niche concepts but have clear policy endorsement and market access channels.
On the commercial retail side, the policy explicitly encourages physical shopping malls to deploy AI virtual fitting, smart outfit recommendation, and digital human shopping assistant scenarios, while deeply integrating e-commerce with AI across operations, customer service, design, marketing, and live streaming. For textile and garment enterprises struggling with weak offline channels and rising online traffic costs, this provides a realistic path to reduce customer acquisition costs and improve conversion rates.
The policy also proposes establishing application scenario construction guidelines for AI+consumption, selecting typical cases, and building national AI application pilot bases. This means from scenario validation to large-scale commercial landing, the government will provide institutional support rather than just encouragement.
Industry Impact: From Capacity Competition to Digital Experience
Over the past decade, the competitive focus of China's textile and garment industry has centered on capacity scale and price advantage. However, the implementation of these opinions is accelerating the shift of competitive dimensions toward comprehensive capabilities in design innovation, digital experience, and flexible supply chains. AI will penetrate the entire chain from fashion creativity, green production, experience consumption, to brand operations. Enterprises need to reallocate resources from heavy equipment investment to algorithms, data, and scenario development.
For upstream fabric suppliers, the expansion of the smart wearable market means higher returns on R&D investment in functional textile materials. Fabrics with conductivity, sensing, and temperature regulation are no longer laboratory samples but can be scaled into consumer electronics and healthcare products. For midstream manufacturers, combining flexible supply chain construction with AI quality inspection and creative content generation tools is expected to improve inventory turnover by over 20%. For downstream brands and retailers, the promotion of digital human live streaming and virtual experience scenarios will directly change consumer decision-making paths from viewing pictures to trying on virtually before purchasing.
Dual Support from Funding and Standards
The policy sends clear signals on funding: it encourages local governments to subsidize new-generation smart terminals within the framework of trade-in programs for consumer goods; personal consumption loan fiscal discount policies cover AI-related products; and the national AI industry investment fund will also tilt toward the consumption sector. For textile enterprises, this means the terminal price of smart textiles is expected to decrease, and consumer acceptance will rise rapidly.
Standard system construction is equally critical. The policy proposes accelerating the development of industry standards for basic technology, security trustworthiness, and interoperability of AI terminals, and establishing an intelligent grading standard and evaluation system. This will effectively solve the current problems of inconsistent interfaces and data silos in smart textiles, promoting cross-industry and cross-brand interoperability and enhancing international standard discourse power.