AIGC全链路电商素材生产的应用与挑战

The Application and Challenges of AIGC Full-Chain E-Commerce Material Production

摘要: AIGC通过深度学习与多模态生成技术，大幅压缩了电商素材的制作周期和成本，推动行业从“资源依赖”向“技术驱动”转型，为中小企业参与内容竞争提供了新的可能，同时也伴生了真实性缺失、技术依赖与设计趋同等问题，对消费者信任、企业创意积累及商业文化多样性造成潜在冲击。AIGC带来的不仅是工具层面的改良，更是商业创意范式的重塑，其健康发展有赖于生成内容质量的优化、行业标准的建立以及企业自主创意能力的培育，从而实现效率优势与文化价值的协同。

Abstract: Through deep learning and core multimodal generation technologies, AIGC has significantly shortened the production cycle and reduced the cost of e-commerce materials, promoting the industry’s transformation from resource dependence to technology-driven development and providing new possibilities for small and medium-sized enterprises to participate in e-commerce content competition. However, it has also brought about problems such as lack of authenticity, over-reliance on technology, and homogenization of design, which may potentially impact consumer trust, the accumulation of enterprises’ creative capabilities, and the diversity of commercial culture. AIGC brings about not only tool-level improvements but also the reshaping of commercial creative paradigms. Its healthy development depends on optimizing the quality of generated content, establishing industry standards, and cultivating enterprises' independent creative capabilities, thereby achieving the synergy between efficiency advantages and cultural values.