Palantir Billionaire Peter Thiel Bought 2 Stocks Warren Buffett and Bill Gates Sold. Who's Right?

Peter Thiel's macro hedge fund reintroduced Microsoft and established a position in Apple in Q3, funding the moves in part by selling its entire Nvidia holding and trimming Tesla; concurrently the Gates Foundation sold roughly two‑thirds of its Microsoft stake and Berkshire trimmed about 15% of its remaining Apple position after cutting Apple materially since late 2023. Microsoft benefits from a deep relationship with OpenAI (article cites a 27% equity stake, $250 billion Azure commitments and model licenses through 2032), with Azure revenue up 39% in the latest quarter and Microsoft 365 commercial and consumer revenue rising 15% and 25% respectively; forward P/E ~29. Apple is preparing an AI-infused Siri revamp, saw revenue growth across iPhone/Mac/iPad in 2025, services up 14% (article notes services surpassed $100 million) and generated $99 billion free cash flow with EPS up 23%; forward P/E ~31 — presenting a tradeoff of AI upside and wide moats versus premium valuations for investors to weigh.

Analysis

Market structure: Thiel’s buys (MSFT, AAPL) reinforce a two-tier AI market where cloud/software winners capture outsized recurring revenue and cash flow while discrete hardware suppliers (GPU cycle) absorb more volatility. Expect Microsoft to take enterprise AI share from smaller clouds by ~3–5 percentage points over 12–24 months as Azure capacity + OpenAI exclusivity sustains price-insensitive demand; Apple’s services/upgrade leverage supports 10–15% EPS upside in a strong iPhone cycle.

Risk assessment: Key tails are regulatory scrutiny of the Microsoft–OpenAI relationship (antitrust/AI safety) and renewed export-controls on accelerators that could squeeze GPU supply — each could produce -10% to -30% EPS shock for affected firms within 6–12 months. Near-term market risks: earnings/AI announcements in the next 30–90 days; medium-term risks: GPU supply cycles and capex cadence through 2026–2027.

Trade implications: Bias to large-cap software/cloud (MSFT) and high-FCF hardware+services (AAPL) with concentrated, hedged allocations: use 3–6 month options to express directional views while limiting drawdowns. For portfolio-level tilts, increase software/cloud weight by +4–6% and cut cyclical semiconductor/equipment exposure by -20–30% over the next 30 days; volatility likely compresses as conviction trades crowd in, tightening IG spreads by ~5–15 bps.

Contrarian angles: Consensus underestimates Apple’s free-cash-flow leverage from buybacks and services stickiness; Buffett-induced selling may create a 6–10% tactical mispricing window. Conversely, MSFT’s Azure growth assumes uninterrupted OpenAI cooperation — if licensing terms change, re-rating could be swift; monitor OpenAI disclosures and Azure capacity announcements as potential reversal triggers.

Key Decisions for Investors

• Establish a 3% long position in MSFT within the next 0–60 days, target 12–18% total return over 12 months; hedge with a 6-month OTM put at ~10% downside (cost ≤2% of position) or buy a call spread to limit premium exposure.
• Initiate a 2.5% core position in AAPL, finance by selling 1–2% 8–10% OTM covered calls with 1–3 month expiries to monetize buyback-driven EPS; set a hard stop at -8% and take-profit band at +10–15% within 6–12 months.
• Allocate 0.5–1% to PLTR via 9–12 month LEAP calls or stock for convex AI upside; plan to take at least 50% profits on a +100% move and cut to -50% loss to manage binary outcome risk.
• Implement a relative-value pair: long MSFT (2%) / short NVDA (1.5%) to play valuation rotation if NVDA outperformance stalls; unwind the short if NVDA rallies >15% or long MSFT falls >12%, reassess after next earnings within 30–60 days.