Recently, a number of AI products—including ByteDance's Coze Enterprise Edition and Tencent's Yuanqi—have successively announced service discontinuations. Domestic tech giants and AI startups have cumulatively shut down or merged dozens of AI products. Previously, the industry cast a wide net, deploying various AI applications to explore traffic entry points; now major companies are generally consolidating scattered product lines, merging related capabilities and teams into the group's core AI backbone business, and sorting out a clear AI layout. Startups, constrained by limited resource reserves, are proactively cutting non-core experimental projects and concentrating resources on mainline business. The large-scale shutdown and merger of standalone AI tools stems mainly from three types of reasons: single-point functions are easily covered by general-purpose large models, compliance requirements delineate business boundaries, and business models struggle to cover computing power costs. Currently, the first round of trial-and-error in AI applications has receded, industry screening standards are becoming stricter, and independent AI products need to land in high-frequency scenarios, possess a stable paying user base, and deliver real business results in order to establish themselves. The related reshuffling will continue.