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The Nasdaq-100 Is Getting 5 New Members. Here's the List.

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The Nasdaq-100 Is Getting 5 New Members. Here's the List.

The Nasdaq-100 is adding five fast-growing names on June 22, led by AI infrastructure and cloud capacity plays Astera Labs, CoreWeave, Nebius Group, and Teradyne, plus space company Rocket Lab. The article highlights strong fundamentals across the group, including CoreWeave's nearly $100 billion revenue backlog, Nebius' 242% YTD gain and $46 billion in Microsoft/Meta deals, and Teradyne's first-quarter revenue of $1.28 billion with AI-related demand above 70% of sales. The changes should support individual stocks and reinforce investor interest in AI infrastructure, but the piece is more of a thematic update than a market-moving catalyst.

Analysis

This rebalance is less about index mechanics and more about capital markets endorsing a narrow “AI picks-and-shovels” stack. The inclusion of multiple infrastructure names reinforces a flywheel where hyperscalers, GPU vendors, and network/interconnect suppliers all benefit from the same capex wave; that tends to compress procurement cycles and increase order visibility for the next 2-4 quarters. The second-order loser is not the named incumbents being removed, but any adjacent vendor without a direct AI narrative, as passive and systematic flows continue to crowd into the same small set of beneficiaries.

Within the group, NBIS and CRWV look most exposed to duration risk because their valuations are tied to multi-year capacity buildouts and backlog conversion rather than current earnings power. That makes them highly sensitive to any sign of power-delivery slippage, customer concentration, or a slowdown in AI model training demand; if hyperscaler capex rolls over even modestly, the equity multiple can compress faster than revenue reaccelerates. ALAB and TER are structurally better positioned in a softer tape because they monetize the tooling layer of the buildout, where customers are forced to keep spending to remove bottlenecks even if growth rates normalize.

The contrarian read is that the market may be overpaying for installed-capacity stories and underpaying for the enablers. The biggest unresolved issue is not demand for AI compute; it is the ability to power, connect, and test it at scale without margin leakage, which favors infrastructure suppliers over pure capacity lessors over time. That said, the near-term trade is momentum-driven and could persist for weeks if passive inflows and quarterly guidance keep validating the narrative, but it is vulnerable to any earnings miss that reframes backlog as latency rather than certainty.