If a Stock Market Crash Is Coming, These 2 Growth Stocks Might Be Worth Selling

With the S&P 500 CAPE at 41.8 (near record highs), the article warns of mounting selling pressure tied to Middle East tensions, elevated inflation, and rising odds of Fed rate hikes, plus November midterms. It flags SpaceX (SPCX) as a high-risk valuation story with a 83x price-to-sales multiple (implying a still-elevated ~18x forward P/S even on $105B 2027 revenue) and Datadog (DDOG) trading at 21.8x P/S despite raised 2026 guidance ($4.45B–$4.47B). Bottom line: both stocks are portrayed as vulnerable to sharp corrections if broader markets turn.

Analysis

This is less a verdict on business quality than a warning about duration risk. In a tape where real rates are sticky and macro headlines are noisy, the market tends to punish anything priced for perfection before it punishes the index. That makes DDOG the cleaner public expression of this setup than the private company in the piece: observability is important, but it is still a budget line that can be deferred, bundled, or absorbed into larger cloud relationships if growth slows.

Near term, the first-order reaction should be multiple compression rather than estimate cuts. Over the next 1-3 months, any CPI upside, firmer yields, or geopolitical escalation could trigger factor de-risking and force crowded growth holders to sell what they can, not what they want; that usually hits high-P/S software faster than megacap platforms. Over 6-18 months, the more important issue is competitive bundling: AI ops, monitoring, and infrastructure spend may migrate toward hyperscalers with broader pricing power, leaving standalone tools with less leverage than the market assumes.

The contrarian view is that the consensus is treating all AI-exposed equities as one trade. That is wrong: names with captive demand, cash generation, and internal AI monetization can sustain premiums even if multiples compress elsewhere, while smaller AI-adjacent software gets re-rated first. The thesis is falsified if rates roll over and DDOG shows that AI-native usage is converting into durable billings growth without margin slippage; in that case, the correction would be shallow and short-lived rather than structural.

Key Decisions for Investors

• Short DDOG vs long GOOGL for 1-3 months; express the view that AI demand is better monetized by the platform owner than by the observability tollbooth. Target ~10-15% relative downside in DDOG; cover if DDOG raises forward revenue guidance materially above the current range and maintains operating margin.
• If you want macro rather than single-name exposure, buy a 1-3 month QQQ put spread on any post-rally strength. Use it as a hedge against a rates/geopolitics-driven factor unwind; the trade works best if 10Y yields re-accelerate or CPI surprises hot.
• Do not force a direct trade in SPCX; treat it as a sentiment read-through for the public AI complex. The public-market implication is to reduce exposure to the highest-multiple AI adjacencies, not to chase the private mark.
• Maintain MSFT as a relative quality long versus DDOG rather than an outright high-beta AI bet. MSFT has more ability to internalize AI spend and bundle observability-like functions, which should cap downside in a risk-off rotation.