Selling Intel, Buying Qualcomm: Why This Billionaire Is Betting on an ‘Atypical’ AI Chip Stock

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Published on: Jan 25, 2026

Billionaire investor David Tepper is making moves again, and his latest target is not your typical AI chip company.

According to the latest 13F filing from his hedge fund, Appaloosa Management, the investment maestro known for his contrarian bets and turnaround plays executed a notable portfolio shift in Q3 2025. He significantly trimmed his stakes in high-flying AI beneficiaries—including Intel (INTC)Oracle (ORCL), and a long-time holding Micron Technology (MU)—and turned his attention to Qualcomm (QCOM), a stock that hasn’t fully taken off with the AI trend.

Taking Profits Off the Table

Tepper’s maneuvers showcase his classic “buy low, sell high” discipline.

  • Intel (INTC): Tepper likely booked a substantial gain on Intel within just a few months. He bought in during Q2 after the stock had fallen considerably from its late 2023/early 2024 highs. When shares surged in August following news of the U.S. government taking a stake in the chipmaker, he wisely took profits.
  • Oracle (ORCL): Having initiated a position in Oracle in late 2023, possibly eyeing its underappreciated AI infrastructure potential, Tepper sold a large portion of his stake in early 2025 after steady gains through 2024. The subsequent rocket ride in Q2 and Q3 last year, fueled by a massive $300 billion contract with OpenAI that pushed Oracle toward a $1 trillion valuation, likely prompted him to exit the position entirely.
  • Micron Technology (MU): A longtime holding that once made up roughly 10% of his portfolio, Micron saw its position trimmed down to just over 1% by the end of Q3. Tepper’s decision to sell into strength followed a positive pre-announcement for the quarter that demonstrated strong pricing power for its memory chips.

Building a Position for the Future

While cashing out of winners, Tepper’s major new tech purchase in the quarter wasn’t a name typically at the top of investors’ AI lists—and that may be precisely the point.

Qualcomm (QCOM) is quietly positioning itself to capitalize on the proliferation of AI. Best known for its wireless connectivity patents and the baseband chipsets found in nearly every smartphone globally, the company’s non-baseband chip business is growing rapidly. Its high-end Snapdragon processors power many Android devices, and it is gaining traction in automotive connectivity, processing, and an emerging PC business.

A key development came in October when the company announced a new suite of AI chips, slated for 2026 and 2027, designed specifically for large language model inference. As companies develop more AI use cases and build smaller models capable of running on-device rather than in massive data centers, Qualcomm’s non-baseband sales could see accelerated growth.

  • On-Device AI: This trend could spur demand for higher-end smartphones, pushing device makers toward Snapdragon processors.
  • Data Center AI: Its AI200 and AI250 rack-level inference solutions could offer cost-effective alternatives at the data center level.
  • Automotive: The introduction of more advanced AI features in cars should further solidify Qualcomm’s standing in this fast-growing segment, where revenue jumped 36% in 2025.

The Contrarian Case and a Valuation Gap

Qualcomm faces a known headwind: the loss of a major baseband chip customer over the coming years. Yet, Tepper’s contrarian mindset likely focuses on what lies beyond that challenge—the underlying strength of its diversified businesses and the AI tailwind. These factors should support steady revenue growth, with potential for acceleration once the customer transition is in the rearview mirror.

Trading at a forward P/E ratio of just 13, the stock appears inexpensive. For Tepper, buying a reasonably valued, AI-enabled company with foundational businesses across critical end markets (mobile, auto, PC, data center) amidst generally rich AI valuations is a classic “be greedy when others are fearful” play. This time, he’s betting on the future diffusion of AI from the cloud to the edge, with Qualcomm as a potential key—and still overlooked—player in the ecosystem.

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