Billionaire Israel Englander Buys 2 Artificial Intelligence (AI) Stocks Up 405% and 575% in 2 Years

Millennium Management quadrupled its Palantir stake and doubled its Astera Labs position in Q2, highlighting continued institutional interest in AI software and infrastructure. Palantir's Q2 revenue rose 93% to $1.9 billion and non-GAAP EPS increased 215% to $0.41, while Astera's revenue grew 104% to $392 million and it guided for 139% Q3 revenue growth. Both stocks trade at elevated valuations—155x and 145x adjusted earnings, respectively—though median analyst targets imply 12% upside for Palantir and 18% for Astera.

Analysis

The relevant distinction is not "enterprise AI" versus infrastructure, but where customers can delay spend. PLTR’s value proposition sits closer to mission-critical workflow deployment, which can support renewals and expansion once embedded; however, its premium multiple leaves little tolerance for a deceleration in U.S. commercial contract value, fewer large government awards, or evidence that hyperscalers’ native AI stacks are sufficient for lower-complexity customers. The reported financial figures and valuation inputs in the article should be independently verified before sizing, as the claimed operating metrics materially drive the conclusion.

ALAB has more direct sensitivity to accelerator-cluster architecture: rising GPU counts per rack and the move toward scale-up fabrics can expand content per deployment, but it also creates a concentrated-platform risk. The key downside is that NVDA’s networking roadmap, Broadcom’s custom silicon/connectivity offerings, or customer qualification of second sources compresses Astera’s attach rate before revenue growth slows. Unlike PLTR, ALAB faces meaningful inventory and digestion risk if cloud capex shifts from training clusters toward inference, where interconnect intensity may not scale linearly.

Consensus is likely underpricing the difference between strong reported growth and investable incremental upside at elevated earnings multiples. For the next 1-3 months, both names are momentum-sensitive and vulnerable to a broad AI multiple reset; over 6-18 months, PLTR needs durable conversion from pilots to scaled production revenue, while ALAB must prove Scorpio-like products sustain mix and gross-margin expansion through new platform cycles. The better risk-adjusted expression is selective exposure to AI infrastructure with a hedge against the most valuation-sensitive application software names.

Key Decisions for Investors

• Do not initiate a full PLTR long at current momentum/valuation levels; use a 10-15% pullback or post-earnings volatility to establish a starter position only if commercial growth, remaining deal value, and margin guidance are raised. Falsify on two consecutive quarters of material commercial-growth deceleration or reduced full-year guidance.
• Initiate a small ALAB position over the next 2-6 weeks only after confirming customer concentration, Scorpio revenue mix, and gross-margin trajectory in the earnings release; target a 6-12 month holding period. Size below a core semiconductor position because a single platform transition or qualification loss can drive a disproportionate derating.
• For a hedged expression, pair long ALAB with short a broad AI-infrastructure proxy such as SMH rather than short NVDA outright; this isolates potential share/content gains while reducing exposure to an AI-capex drawdown. Review the hedge if hyperscaler capex guidance remains above expectations and semiconductor breadth improves.
• Treat PLTR versus enterprise-software peers as an event-driven watch rather than a clean pair trade: go long PLTR only after independently verified production deployment and backlog indicators demonstrate sustained monetization, since a short against it can remain painful while retail and institutional momentum persists.