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Jim Cramer named Meta Platforms and Microsoft as major-company examples with potential ways to benefit from artificial intelligence, alongside semiconductor, fiber, and cybersecurity companies. The list reflects Cramer’s reported investment view—not a ranking, a promise of returns, or a recommendation that any stock is right for every investor.

Which stocks did Cramer name?

An October 6, 2026 syndicated report from Summa Money described Cramer’s interest in established businesses with several possible routes to benefit from AI. The companies named fall into different business-exposure categories:

Exposure described in the report Companies named Potential AI connection described
Platforms and cloud Meta Platforms (META) and Microsoft (MSFT) Potential AI monetization at Meta; Microsoft’s Copilot and Azure cloud business.
Semiconductors Advanced Micro Devices (AMD) and Intel (INTC) Semiconductor exposure associated with AI infrastructure.
Chips and fiber Marvell Technology Exposure to chips and fiber infrastructure.
Cybersecurity CrowdStrike (CRWD) and Palo Alto Networks (PANW) Cybersecurity exposure in an economy increasingly reliant on AI and digital infrastructure.

The report does not provide a common valuation, financial comparison, or risk analysis for these companies. Their inclusion does not establish that one is better positioned than another.

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Why did he favor established companies?

Cramer’s stated approach was to look for AI data-center plays and companies whose management teams and existing businesses might find multiple ways to benefit from AI. He said, “Because I think that a lot of things can possibly go right, I want to stick with the AI data center plays.” That is a forecast and investment rationale, not evidence that the anticipated gains have already occurred.

Meta and Microsoft were the report’s primary examples. It presented Meta as a company with possible AI monetization opportunities. On Microsoft, the report attributed this view to Cramer: “I thought, ‘They’re going to figure out this Copilot, and with their Azure web services business they’re going to make a ton of money.’” The comment reflects his expectation about Copilot and Azure, rather than a verified earnings outcome.

The other names broaden the list beyond consumer platforms and cloud services: AMD and Intel are semiconductor examples, Marvell is associated with chips and fiber, and CrowdStrike and Palo Alto Networks are cybersecurity examples. The categories describe possible exposure, not proof that AI will materially improve each company’s results.

What risks and qualifications did the report include?

The report acknowledged concerns that AI-related valuations may be too high and comparisons with the dot-com bubble. It did not establish that current valuations match that earlier period, nor did it provide company-by-company valuation measures. A compelling AI narrative alone cannot show whether a stock price already reflects expected growth.

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Cramer also emphasized diversification, saying, “I want to be diversified, and I certainly run a diversified”. The report additionally quoted him saying, “I didn’t think their best times were behind them,” in the context of his view of established companies. These are reported comments, not a portfolio blueprint or evidence that the named stocks will outperform.

The same report quoted Cramer’s characterization that he had queried about “about 80%” of S&P 500 companies on what could go right. That figure is his reported description, not a separately documented statistic or study.

Which of the names did the Charitable Trust hold?

The report said CNBC’s Investing Club Charitable Trust held META, MSFT, INTC, CRWD, and PANW. It did not list AMD or Marvell as Trust holdings in this disclosure. These holdings are reported by Summa Money; the original CNBC article was not available in the reporting source reviewed.

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How should a reader use this list?

Treat the names as a starting point for company-by-company research, not as a ready-made portfolio. CNBC Select’s guide to buying stocks advises investors to understand a company’s business and their own risk tolerance; it also explains market and limit orders. It does not assess the stocks named here.

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  • Check what each company actually sells and how much of its business is connected to AI, rather than relying on a broad label.
  • Compare financial results, valuation, competitive position, and risks using consistent, dated information before drawing conclusions.
  • Consider whether owning individual stocks fits your risk tolerance and whether your investments are diversified.

The Summa Money report is dated October 6, 2026, and its stock-price and 52-week-low references are time-sensitive; they should not be read as current quotes. Its commentary and holdings disclosure are syndicated reporting attributed to CNBC and Cramer, not independent verification of future performance.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.