Fidelity managers reveal top AI stocks for 2026

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

• There's still a lot of runway for improvement in AI-driven advertising

  80% confidence

• Achieving human-like intelligence will require much more than simply GPUs

  80% confidence

• Hyperscaler spending increased from roughly $100 billion in 2023 to more than $300 billion in 2025, could exceed half a trillion dollars within the next few years

  80% confidence

• The next wave of gains is happening at the system level, not the chip level. This is a rack-scale problem now

  80% confidence

• Most investors are underestimating how impactful AI will ultimately be

  80% confidence

• Nvidia isn't just a chip company anymore, they're selling full rack-scale systems - complete supercomputers designed to train and run AI models

  80% confidence

• Magnificent 7 members are delivering mid-20% range earnings growth, outpacing mid-single-digit growth for the rest of the S&P 500

  80% confidence

• Valuations today are not even close to what's been experienced during bubble extremes of the past

  80% confidence

• AI is still in the build phase. There are a lot of 'picks and shovels' companies that could potentially benefit

  80% confidence

• AI requires computation, and Nvidia and Taiwan Semi are the main providers of it

  80% confidence

• Unlike during the internet boom when spending was overwhelmingly funded by debt, AI spending is being mainly financed with cash by highly profitable companies

  80% confidence

• If we need power now, the main source is gas turbines

  80% confidence

• Small nuclear reactor technology could benefit players like Rolls-Royce in the long term, but those are unlikely to arrive until the 2030s

  80% confidence

• Big-cap tech stocks are not overvalued despite growing to represent over one-third of the S&P 500

  80% confidence

Data points we hold from this source

Cited in these Via News reports

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