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New AI Stock Pickers Are Destined to Disappoint: Nir Kaissar
There is a lot of buzz around Wall Street in regards to artificial intelligence taking over from real-life fund managers, presumably because AI will be better at picking stocks. Bloomberg Opinion Columnist Nir Kaissar tells Scarlet Fu on "Bloomberg Markets" that AI stock pickers are destined to disappoint. (Source: Bloomberg)
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The New AI Stock Pickers Are Destined to Disappoint
Meet the new stock pickers. They will remind you of the old stock pickers. One thing to watch for next year is AI-driven investment products. There's a lot of buzz around Wall Street about artificial intelligence taking over from real-life fund managers, presumably because AI will be better at picking stocks.
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Bloomberg Opinion Columnist Nir Kaissar argues that AI-driven investment products, despite the hype, are likely to underperform expectations in stock picking.
As we approach the new year, Wall Street is abuzz with excitement over the potential of artificial intelligence (AI) to revolutionize investment strategies. The financial sector is witnessing a surge of interest in AI-driven investment products, with many speculating that these advanced technologies could outperform human fund managers in stock picking 1.
Despite the growing enthusiasm, some industry experts are voicing skepticism about the true potential of AI in this domain. Bloomberg Opinion Columnist Nir Kaissar, in a recent interview on "Bloomberg Markets" with Scarlet Fu, expressed a contrarian view. Kaissar boldly stated that these AI stock pickers are "destined to disappoint," challenging the prevailing optimism surrounding this technological shift 1.
The allure of AI in stock picking stems from its perceived ability to process vast amounts of data, identify patterns, and make rapid, emotionless decisions. Proponents argue that these capabilities could lead to superior investment choices and potentially higher returns. However, Kaissar's perspective suggests that the reality may not live up to these lofty expectations 2.
Interestingly, Kaissar draws a parallel between these new AI-driven approaches and traditional stock picking methods. He notes, "Meet the new stock pickers. They will remind you of the old stock pickers." This observation implies that despite the advanced technology, the fundamental challenges of predicting market movements and selecting outperforming stocks remain largely unchanged 2.
The emergence of AI in stock picking raises important questions about the future of investment management. Will these AI systems truly revolutionize the industry, or will they face the same limitations as human fund managers? As investors and financial institutions grapple with these questions, the coming year is likely to be a critical period for observing how AI performs in real-world market conditions.
Kaissar's skepticism serves as a cautionary note for investors who might be tempted to place blind faith in AI-driven investment products. It underscores the importance of maintaining a balanced perspective and conducting thorough due diligence, regardless of whether investment decisions are made by humans or machines.
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