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Palantir Billionaire Peter Thiel Sells Nvidia and Tesla, and Buys 2 AI Stocks That Now Account for 61% of His Portfolio

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Palantir Billionaire Peter Thiel Sells Nvidia and Tesla, and Buys 2 AI Stocks That Now Account for 61% of His Portfolio

Billionaire Peter Thiel's Thiel Macro allocated 61% of its $74M hedge-fund portfolio to Apple (27%) and Microsoft (34%) in Q3, signaling high conviction despite the fund's small size relative to his net worth. Apple reported fiscal Q1 (ended Dec. 27) revenue of $143.7B (+16%) and GAAP EPS of $2.84 (+18%), saw China sales jump 38%, and announced it will integrate Alphabet's Gemini into Siri while planning a premium tier for Apple Intelligence; the stock trades at ~33x earnings with projected EPS growth of ~10% over three years. Microsoft saw adjusted earnings rise 24% but missed expectations in the December quarter (driving a ~10% share price drop) as AI-related capex weighed on margins; Microsoft highlighted 160% growth in copilot seats, 10x daily active users, Foundry customers spending >=$1M QoQ up 80%, and it holds a 27% stake in OpenAI with exclusive rights to advanced models. The piece views Microsoft as a buy-it-small-position opportunity given AI monetization trajectories and more reasonable ~27x earnings valuation, while flagging Apple as expensive and recommending caution until valuation moderates.

Analysis

Market structure: Thiel’s concentration in AAPL (27%) and MSFT (34%) highlights AI platform winners — Microsoft (cloud + OpenAI exclusivity) and Apple (device + services monetization via Gemini). Direct beneficiaries: MSFT, GOOGL (Gemini), and Apple services; losers: some LLM-infrastructure specialists (higher capex vendors short-term) and niche AI chip suppliers if Microsoft/OpenAI/Google capture cloud demand. Expect pricing power to shift toward cloud stacks (Azure, Google Cloud) and vertically integrated consumer ecosystems (Apple), tightening SaaS margins for smaller incumbents.

Risk assessment: Tail risks include heavy-handed AI regulation/antitrust (6–18 month horizon), model failures/data incidents causing revenue stoppages, or a sharp capex-to-revenue miss that forces guidance cuts. Near-term (days–weeks) watch MSFT option IV and earnings cadence; medium-term (3–12 months) risk is slower monetization of copilot seats vs high capex, long-term (2–5 years) rewards from enterprise AI adoption if retention/ARPU hold above +20%. Hidden dependency: Apple outsourcing LLMs to Google increases GOOGL bargaining power over Apple services economics.

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