Tom Lee Calls AI Selloff Near End, Draws Parallels to Cisco in 1997

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Fundstrat Managing Partner Tom Lee stated that the recent pullback in artificial intelligence stocks is nearing its conclusion, presenting a strong dip-buying opportunity rather than a prolonged downturn. His comments follow a sharp market correction on Thursday, where the Nasdaq Composite dropped 2.6%, marking its worst single-day performance since June. Concurrently, the VanEck Semiconductor ETF and the Philadelphia Semiconductor Index plunged 6% and 7% respectively. Lee cited easing interest rate pressures and a potentially dovish Federal Reserve as key catalysts for optimism. Drawing comparisons to Cisco Systems in 1997, he emphasized that temporary corrections do not derail overarching tech cycles. Lee remains bullish on Nvidia, memory stocks, software, and cryptocurrencies, noting that AI infrastructure spending could reach $30 trillion over the next 25 years.

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Fundstrat strategist Tom Lee diagnosed that the sell-off in AI stocks is nearing its end, despite the Nasdaq Composite recently falling 2.6% and the semiconductor ETF (SMH) plunging 6%. He evaluated this as a healthy correction process similar to Cisco's 1997 correction and cited expectations for the Federal Reserve's dovish pivot as the rationale. Investors should pay attention to the sustainability of future AI infrastructure investment cycles and the stabilization trend of declining interest rates.

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The recent tech stock sell-off occurred amid uncertainty in the Fed's monetary policy and the resolution of short-term overheating, providing a buying-the-dip opportunity for NVDA and the software sector. Tom Lee forecasts that $30 trillion in AI infrastructure investment will continue over the next 25 years. In a positive scenario, a simultaneous rebound of hardware and software is expected, but in a negative scenario, additional volatility could expand if interest rates rebound.

As key indicators, one must monitor whether Treasury yields fall below 5% and the short interest ratio of the tech sector.

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