Cathie Wood Goes Bargain Hunting as AI Stocks Decline: 3 Stocks She Just Bought

Cathie Wood was buying three AI-related stocks on weakness: Space Exploration Technologies, Palantir, and Cerebras Systems, with purchases made across June 23-26. SpaceX rose nearly 20% on its IPO day before dropping more than 20% from its peak, Palantir has seen double-digit revenue growth and U.S. commercial customers climb to more than 600, and Cerebras surged 68% in its first trading session before giving back gains. The piece is largely a buy-the-dip commentary on innovative AI names rather than a material market-moving event.

Analysis

The key signal here is not the names themselves but the repeated willingness to add exposure after post-IPO de-risking. That usually matters more in venture-like assets than in public equities because early float supply is often thin, momentum is fragile, and any incremental institutional buying can move price disproportionately over days to weeks. In that setup, the near-term trade is less about fundamentals and more about positioning: a clean dip can become a self-reinforcing re-rating if other growth investors infer “smart money support.”

PLTR remains the highest-quality expression of the theme because it already has product-market fit, operating leverage, and a clearer path to monetization than the chip startups. The second-order effect is that a stronger PLTR tape can pull capital back toward AI software after a period when the market was rewarding only infrastructure names; that would be a relative headwind for lower-conviction software peers still trading on story rather than usage. NVDA and AMD are the obvious incumbents most exposed to any enthusiasm around alternative AI silicon, but the practical impact is probably modest near term: the market still values ecosystem lock-in and software moat over raw silicon performance.

Cerebras is the most asymmetric but also the least durable trade. If it continues to show strong revenue growth, the setup can work for several months as investors search for the next “pick-and-shovel” winner, but the name is vulnerable to a sharp reset once the market focuses on gross margin structure, customer concentration, and the capex intensity required to compete with entrenched platforms. The contrarian read is that this is less a broad AI endorsement than a liquidity event: Wood is signaling willingness to absorb supply, which can support these stocks in the short run, but it does not eliminate valuation risk if growth decelerates or the market rotates back toward profitable megacap AI leaders.

Key Decisions for Investors

• Go long PLTR on 2-4 week pullbacks; preferred expression is a call spread to capture a positioning-driven re-rating with limited downside if the AI software trade resumes.
• Use NVDA/AMD as a hedge against a speculative AI-satellite basket: long PLTR versus short a small basket of pre-profitability AI infrastructure names, aiming to isolate quality vs. story over the next 1-3 months.
• For higher risk tolerance, buy CBRS only as a tactical momentum trade after confirmation of volume support; use tight downside stops because post-IPO rallies in new issue names can unwind 15-25% quickly.
• Avoid chasing all three names simultaneously; the crowding risk is highest in the same-factor basket, so size positions assuming a sector-wide growth de-grossing could hit all names together in a 5-10 day window.
• If PLTR continues to outperform NVDA/AMD over several sessions, add to the pair long PLTR / short NVDA as a relative-value expression that benefits if capital rotates from infrastructure into software monetization.