"人工智能必定会取代传统的量化投资基金经理。而那些不采用人工智能技术的量化机构，在未来3到5 年可能会被淘汰。"冯霁对未来的判断毫不含糊。 冯霁说："就像数十年前个人计算机和服务器推出，华尔街是最早采用计算机服务器来进行量化投资 的。今天的人工智能也是如此，AI作为一个强大的建模工具，我们没有理由不去拥抱它。" "AI量化投资与AI围棋有相似之处。"冯霁举例道，"在AlphaGo推出之前，人类下围棋的开局定式几十 年都没有变化，但当有了AI之后，开局方式突然多了很多可能性。量化投资也是如此。"在他看来，随 着算力、数据与模型能力持续提升，机器在市场学习与模式识别方面的优势将愈发明显。 那么，AI投资时代更需要怎样的新型人才？冯霁认为，在AI投资时代，人将变成背后给机器不断升级 的工程师。未来需要的新型基金经理是复合型人才，既懂投研任务，又能把它转化为人工智能问题，并 用AI解决。 当人工智能席卷全球，一个问题变得前所未有地尖锐：基金经理的角色是否会被AI取代？ "我坚信人工智能必定会取代传统的量化投资基金经理。"倍漾量化创始人冯霁给出了坚定的判断。这位 新锐量化投资人于11月28日在中国证券报主办的"2025 ...

Group 1 - In 2025, AI quantitative investment and the Federal Reserve's interest rate hikes are key variables reshaping investment logic in the financial markets [1] - AI technology has rapidly advanced in quantitative investment, with firms like Luminus Fund utilizing deep neural networks to extract market features from vast datasets [3] - Luminus Fund's quantitative simulation shows that over 70% of excess returns come from stock selection, highlighting AI's potential in enhancing returns through individual stock analysis [3] Group 2 - The persistent inflation in 2025, with core PCE inflation nearing 3% and CPI inflation expected to rise to 5.4%, increases pressure on the Federal Reserve to consider interest rate hikes [4] - Wall Street's betting on the likelihood of rate hikes has surged from under 10% to 34.6%, with predictions of a potential increase of 75 basis points from major financial institutions [4] - The evolving investment logic indicates that while traditional AI models may struggle with market volatility due to reliance on historical data, models that can adapt quickly may seize more opportunities [5] Group 3 - Different asset classes are affected differently by AI quantitative investment and Federal Reserve rate hikes, with notable divergence in the tech stock market [6] - Stocks like Intel surged by 16% due to market sentiment and AI-driven funds, while growth stocks like Meta and Netflix face challenges from anticipated rate hikes [6] - In the bond market, rising rates lead to falling bond prices, but AI models can optimize bond allocations across various maturities and credit ratings [6] Group 4 - The gold market is also impacted, with short-term dollar strength from rate hikes suppressing gold price increases, while AI quantitative investment can analyze multidimensional data to capture short-term price fluctuations [6] - Investors in 2025 must reassess their strategies, recognizing both the advantages and limitations of AI quantitative investment while closely monitoring Federal Reserve rate hike developments [7] - Adjusting asset allocations, such as increasing cash reserves and focusing on stable, cash-rich companies less affected by rate hikes, is essential for navigating the complex market environment [7]