“AI泡沫论”再起，公募岁末如何应对？新发基金提前布局

Core Viewpoint - The article discusses the recent shifts in ETF fund flows, highlighting a net outflow from popular sectors like artificial intelligence and healthcare, while stable sectors such as dividend low volatility and free cash flow have attracted investment [1][3]. Fund Flow Analysis - Recent fund flows indicate a significant net inflow into broad-based ETFs like CSI 300 and CSI A500, with net inflows exceeding 1.2 billion and 30 billion respectively as of December 22 [3]. - Stable ETFs focusing on dividend low volatility and free cash flow have also seen net inflows, with the dividend low volatility category attracting over 1.5 billion [3]. - Conversely, popular sectors such as healthcare and innovative pharmaceuticals have experienced net outflows, with multiple AI-themed ETFs recording over 1 billion in net outflows since December [3][4]. Market Style Shift - The discussion around a potential style switch in the A-share market has gained traction, with a focus on the "high to low" transition in investment styles [4]. - Short-term style shifts may not be sustainable, with a continued emphasis on large-cap growth styles into early next year, while longer-term shifts may occur around the first quarter of next year [4]. - The 2026 market outlook suggests that valuation recovery may outpace earnings recovery, similar to the 2019-2020 market phase [4]. Investment Strategy Insights - The article emphasizes the importance of cash flow and stable growth in investment strategies, with a focus on high-quality assets that can withstand market fluctuations [7]. - The 2026 investment landscape is expected to see a shift from technology towards stable cash flow sectors, with core assets likely to attract significant investment [7]. - New fund launches indicate a preference for both technology and stable value-oriented products, reflecting a diverse investment strategy [8]. Future Opportunities - The article highlights two key investment opportunities: cyclical industries benefiting from supply constraints and high-end manufacturing firms expanding in global markets [9]. - The ongoing competition in AI investment is noted, with a focus on the foundational infrastructure needed for growth, suggesting a mix of opportunities and challenges ahead [6].