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Three Top AI Stocks Facing Steep Declines in 2026

Source: theglobeandmail.com

Published on January 8, 2026

Updated on January 8, 2026

Three Top AI Stocks Facing Steep Declines in 2026

AI Stocks Under Scrutiny in 2026

As the artificial intelligence (AI) sector continues to surge, select Wall Street analysts are sounding the alarm on three premier AI stocks—Nvidia, Tesla, and Palantir Technologies—predicting potential declines of up to 96% in 2026. While these companies have been at the forefront of AI innovation, concerns surrounding valuation, geopolitical risks, and market saturation are casting doubts on their future performance.

Nvidia, a leader in AI-accelerated data center hardware, faces criticism from analysts like Jay Goldberg of Seaport Research, who has set a price target of $140, implying a 26% downside. Goldberg points to slowing data center revenue growth and geopolitical uncertainties in China as key risks. Despite Nvidia’s dominance, internal threats from customers developing their own AI GPUs could further erode its market share.

Tesla, another AI-driven company, is projected to face an even steeper decline. Gordon Johnson of GLJ Research predicts a 96% drop, citing unsustainable income sources like regulatory tax credits and overreliance on Elon Musk’s ambitious but often unmet promises. Tesla’s valuation, trading at nearly 200 times forward-year earnings, appears increasingly vulnerable as the company struggles to deliver on its AI-powered innovations, such as full self-driving (FSD) and robotaxis.

Palantir Technologies, while boasting a 2,500% stock surge over three years, is also under scrutiny. RBC Capital’s Rishi Jaluria, though raising his price target to $50, still sees a 70% downside. Palantir’s high price-to-sales ratio of 110 raises questions about its sustainability, despite its strong government contracts and AI-driven software platforms.

The Risks of Overhyped AI Stocks

The AI sector has long been prone to bubbles, with investors often overestimating the speed of technological adoption and optimization. While AI has the potential to add $15.7 trillion to global GDP by 2030, the current demand for data center infrastructure outpaces the ability of businesses to fully optimize AI technology. This mismatch could lead to market corrections, particularly for overvalued stocks like Nvidia, Tesla, and Palantir.

For investors, the lesson is clear: not all AI stocks are created equal. While the technology promises transformative growth, companies must navigate valuation challenges, geopolitical risks, and competitive pressures. As the AI market matures, discerning between genuine innovators and overhyped players will be crucial for long-term success.