GEM 50 ETF has received net inflows of funds for 5 consecutive trading days. Institutions believe that the AI industry is still in its early stages of development, and a pullback may be a good opportunity for layout.

On November 21, the market fluctuated throughout the day, with the three major stock indexes opening low and trending lower. The ChiNext Index fell more than 4%, while the Shanghai Composite Index fell more than 2%. As a result, the ChiNext 50 ETF closed down 3.89% at 1.384 yuan, with a turnover rate of 9.89% and a trading volume of 24.29 billion yuan. It is worth noting that funds are actively being deployed, with funds receiving net inflows for the fifth consecutive trading day, totaling 4.89 billion yuan. As of November 20, 2025, the latest circulating scale of the ETF was 25.50 billion yuan, ranking first among similar ETFs. Looking at the recent views of many domestic securities firms, the consensus of institutions is very clear: the AI industry is still in the early stages of development, and despite the existence of temporary valuation premiums, its long-term growth potential is still worth looking forward to. According to a research report from Huatai Securities, although investment in the AI sector is growing rapidly and companies' valuations are high, considering the long investment cycle of AI, it is still too early to determine if there is a bubble. In the current context of continuous realization of profits by AI companies, relatively abundant liquidity, and a tight supply-demand situation, there are no macro conditions in the traditional sense to trigger a drastic adjustment in financial market expectations. For investors who are optimistic about the long-term development of the Chinese technology growth sector, the ChiNext 50 ETF provides a convenient and efficient investment tool. Investors can trade the ChiNext 50 ETF directly through a stock account or invest through a linked fund. Experts recommend that investors use regular investment or staggered positions to smooth out short-term volatility risks and closely monitor the performance realization of index component stocks and the progress of related policy implementation.