On July 2, A-share tech stocks experienced a sharp decline, with sectors like semiconductors, computing hardware, and memory chips at the forefront of the downturn. The tech-centric ChiNext Index and STAR Market Index tumbled by 5.71% and 5.64%, respectively. The market largely attributed this downturn to a misinterpretation of Meta's decision to sell AI computing power externally, which was mistakenly seen as an indicator of a computing power glut. However, several industry insiders have clarified that this move does not signal the end of AI capital expenditures; instead, it reflects the maturation of the AI infrastructure business model. Meta's initiative is aimed at generating revenue by leveraging idle resources to bolster its AI R&D efforts and support next-generation model training. In reality, the global adoption rate of AI applications is still relatively low, with the demand on the inference side far from reaching its full potential. Consequently, the long-term demand for computing power remains strong. This recent fluctuation in tech stocks is more of a short-term emotional reaction rather than a fundamental shift in the market. Investors should focus on the actual demand and profitability of companies, steering clear of being influenced by short-term market panic.