[Wall Street Calls for "Buy the Dip" After Tech Stock Sell-off; Morgan Stanley Says Next Two to Three Weeks is the Right Time to Add Positions] BlockBeats reports that on November 8th, after a sell-off in US tech stocks, many Wall Street strategists still viewed it as a correction and a buying opportunity. The S&P 500 fell 4.4% on Thursday, and the Nasdaq 100 fell 6.4%; although the S&P 500 rebounded 0.3% on Friday, it is still down 2.5% since the midterm election results were announced. The market's main concern is that a Democratic victory could lead to tighter regulations on data center construction and the AI industry. Morgan Stanley's chief US equity strategist, Mike Wilson, said, "The next two to three weeks are the time to add positions." He maintained his year-end target of 8000 points for the S&P 500, about 8.4% higher than Friday's closing price. Bloomberg data shows that the average year-end target for the index from major Wall Street institutions is 7973 points. Ed Yardeni, chief investment strategist at Yardeni Research, characterized the recent decline as a "correction" rather than a bursting bubble, with a year-end target of 7900 points. He believes the AI bubble is gradually deflating, but this doesn't equate to a bursting that would have a significant negative impact on the economy, and states that good buying opportunities are beginning to emerge. Jonathan Golub, chief equity strategist at Seaport Global Holdings, gave a year-end target of 8200 points, stating he is a "steadfast buyer" and doesn't believe the market should rush to exit after the election results adjustment. Ohsung Kwon, chief equity strategist at Wells Fargo, is relatively cautious, with a year-end target of 7700 points. He points out that semiconductor and AI infrastructure trading has been a key driver of the market this year, but this sector will remain under pressure. The Philadelphia Semiconductor Index fell 12% on Thursday, and is down 36% from its June high; further market gains will require contributions from high-beta trading. However, Kwon believes that if concerns about a contraction in AI investment persist, tech giants like Alphabet and Amazon may actually find support: the market may anticipate these companies being forced to cut capital expenditures, thereby improving earnings expectations. He stated, "We don't want to be overly bearish here." Many strategists still view this sell-off as a signal that the correction is nearing its end, but whether this judgment holds true depends on the actual impact of policies on AI infrastructure investment.