5 Tangible Risks That Can Upend Nvidia's Parabolic Climb in 2026

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• If an AI bubble were to form and subsequently burst, it's hard to imagine a company being hit harder than Nvidia

  80% confidence

• There have only been six instances in 155 years where the S&P 500's Shiller P/E has topped 30, and the previous five were followed by declines of 20% or more in Wall Street's major stock indexes

  80% confidence

• Nvidia aims to bring a new advanced chip to market annually

  80% confidence

• Introducing an advanced GPU annually risks rapidly depreciating prior-generation GPUs, which may delay future upgrade cycles or entice businesses to trade down to prior-generation chips

  80% confidence

• Five tangible risks lie in wait to potentially trip up Nvidia's parabolic climb in 2026

  80% confidence

• The longer Nvidia's hardware is left in limbo, the likelier it becomes that China develops hardware and/or software solutions to rival Nvidia's GPUs or its CUDA software platform

  80% confidence

• Businesses aren't particularly close to optimizing AI technology or necessarily generating a positive return on their AI investments

  80% confidence

• The 10 stocks identified by Stock Advisor could produce monster returns in the coming years

  80% confidence

• History has repeatedly shown that companies at the forefront of next-big-thing innovations struggle to maintain P/S ratios of 30 or above, which has typically been a signal that a stock is in a bubble

  80% confidence

• If internally developed chips gain traction, it'll reduce GPU scarcity, which has been at the heart of Nvidia's pricing power and superior gross margin

  80% confidence

• Every next-big-thing technology has navigated its way through early stage hype that eventually led to the bursting of a bubble, including the internet, genome decoding, nanotechnology, 3D printing, blockchain technology, and the metaverse

  80% confidence

• Nvidia was not one of the 10 best stocks for investors to buy now

  80% confidence

• Many of Nvidia's top customers are developing AI-GPUs or solutions to use in their data centers that are notably cheaper and more readily accessible than Nvidia's hardware

  80% confidence