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2 Trillion-Dollar Artificial Intelligence (AI) Stocks That Can Plunge Up to 95%, According to Select Wall Street Analysts

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2 Trillion-Dollar Artificial Intelligence (AI) Stocks That Can Plunge Up to 95%, According to Select Wall Street Analysts

Despite projections for AI to add $15.7 trillion to the global economy by 2030, select analysts are expressing significant skepticism regarding the valuations of two prominent 'Magnificent Seven' AI-related stocks. Seaport Global's Jay Goldberg maintains a 'sell' rating on Nvidia with a $100 price target, implying a 44% downside, citing concerns over data center sales growth, China competition, and the potential for an AI bubble. Separately, GLJ Research's Gordon Johnson has a $19.05 price target on Tesla, suggesting a 95% downside, due to its high valuation, reliance on lower-margin hardware, and CEO Elon Musk's history of unfulfilled promises.

Analysis

Despite a consensus forecast for the AI market to contribute $15.7 trillion to the global economy by 2030, a strongly bearish sentiment is emerging from select analysts regarding key 'Magnificent Seven' stocks. For Nvidia (NVDA), Seaport Global's Jay Goldberg stands as the sole analyst with a 'sell' rating, projecting a potential 44% downside with a $100 price target. This contrarian view is based on concerns of a sequential slowdown in data center sales, unjustified optimism for agentic AI, and competitive threats in China. Further risks include the historical precedent of tech-bubble corrections and the trend of Nvidia's largest customers developing their own in-house AI chips. For Tesla (TSLA), the bearish case is more pronounced, with GLJ Research's Gordon Johnson positing a 95% downside with a $19.05 price target. Johnson's thesis highlights Tesla's lower-margin hardware business model, an exceptionally high valuation at 234 times forecast 2025 earnings, and a reliance on unsustainable income sources like regulatory credits. This is compounded by governance concerns, specifically a pattern of unfulfilled CEO promises regarding projects like full self-driving and robotaxis, which have been priced into the stock, creating significant valuation risk.

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