
Billionaire David Tepper's Q2 2026 portfolio disclosure reveals a concentrated bet on AI infrastructure through five mega-cap names: Amazon (15.42%), Micron (14.57%), Meta, Alphabet, and NVIDIA.
Tepper cut Micron by 41% while adding to Meta, Alphabet, and NVIDIA, and exited Microsoft entirely—a deliberate rotation anchored in hyperscaler earnings validation, including AWS's $496 billion backlog and Google Cloud's 82% year-over-year growth.
The portfolio reflects a thesis that demand-side hyperscalers, the NVIDIA supply chain, and memory constraints drive the AI capex cycle.
What happened
Billionaire David Tepper's Appaloosa LP disclosed its Q2 2026 holdings (as of June 30) with Amazon at 15.42% ($1.19 billion, 5 million shares), Micron at 14.57% ($1.13 billion, 975,000 shares after a 41% share-count cut), and added positions in Meta (+$130 million), Alphabet (+$157 million), and NVIDIA (+$49 million), while exiting Microsoft entirely.
Why it matters
The portfolio reflects a focused thesis on AI infrastructure monetization, anchored by validation from hyperscaler earnings—AWS hit $42.2 billion revenue (up 36.7% year-over-year) with a $496 billion backlog, Google Cloud grew 82% to $24.8 billion with a $514 billion backlog, and NVIDIA's Data Center segment posted $75 billion (up 92%). The strategy positions the demand side (hyperscalers), the supply side (NVIDIA), and the memory constraint (Micron) as a coherent AI-capex bet, not a scattershot play.
What to watch
Since the June 30 filing snapshot through August 14, AMZN rose 10.2%, NVDA gained 12.53%, and META added 4.72%, but MU fell 15.81% and GOOG slipped 2.77%—Tepper's Micron trim appears well-timed, while the Alphabet and Meta additions are still proving out. Micron holds 16 Strategic Customer Agreements representing roughly $100 billion in cumulative minimum-price revenue with floor margins above prior peak cycles.
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Tepper's Q2 disclosure, filed on August 14, 2026, captures a portfolio construction moment defined by disciplined capital rotation within a single thesis: AI infrastructure monetization. The filing reveals positions locked in at June 30, a snapshot that already anticipated summer volatility—Micron's subsequent 15.81% decline through mid-August validates Tepper's 41% trim as well-timed profit-taking, even as he retained the position because its $100 billion Strategic Customer Agreement backlog offers structural downside protection.
The common thread across all five holdings—Amazon, Micron, Meta, Alphabet, and NVIDIA—is their exposure to the AI capex cycle, but from different vantage points. Amazon and Google Cloud represent the demand side, with AWS's $496 billion backlog and Google Cloud's $514 billion backlog locking in multi-year revenue. NVIDIA is the supply-side pick-and-shovel play, with Data Center revenue hitting $75 billion (up 92%) and Q2 guidance at $91 billion. Micron, despite the share trim, remains the memory constraint—the structural bottleneck in scaling AI clusters. The exit from Microsoft, combined with fresh additions to Meta and Alphabet, signals Tepper's view that the hyperscaler duopoly (alongside Amazon) offers the cleanest exposure to demand-side monetization, while NVIDIA captures the supply-side moat.
Tepper's discipline in trimming winners into strength while pressing still-cheap positions—Alphabet added $157 million despite a 2.77% post-filing decline through August 14—offers a template. The portfolio's valuation is stretched (NVIDIA trades at 34x trailing P/E), but underpinned by locked-in backlogs measured in hundreds of billions, making the thesis defensible despite elevated multiples.
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