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The Comparison of Today's So-Called "AI Stocks Bubble" With the "Dot-Com Bubble" Has 1 Huge Flaw

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The Comparison of Today's So-Called "AI Stocks Bubble" With the "Dot-Com Bubble" Has 1 Huge Flaw

Palantir is highlighted as an AI winner with strong revenue, earnings and cash-flow growth but a very high valuation, while SoundHound is loss-making with revenue growth driven largely by acquisitions and undisclosed organic metrics. The author argues that unlike the dot‑com era, rising rates are not a current risk headwind — the Fed has cut rates repeatedly (Sep 2024 -0.50 to 4.75–5.00%, Nov 2024 -0.25 to 4.50–4.75%, Dec 2024 -0.25 to 4.25–4.50%; Sep 2025 -0.25 to 4.00–4.25%, Oct 2025 -0.25 to 3.75–4.00%) — and CME FedWatch shows the probability of a 25bp December cut rising from ~50% on Nov. 18 to ~84% on Nov. 24, reducing one major catalyst for a broad valuation reset but leaving investor caution on overstretched AI valuations.

Analysis

Market structure: Falling policy rates (Dec 10 pivot probability ~80% per CME) favors long-duration growth and scaled AI winners—cash-flowing PLTR and large-cap software/hardware vendors gain pricing power and funding access, while small loss-making AI names (e.g., SOUN) face higher survival risk as financing costs ease but investor scrutiny remains. Demand for compute and cloud services should lift semis and hypers, tightening supply for GPUs and raising capex cycles 6–18 months out. Cross-asset: lower yields should push 2–10y Treasury down, compress credit spreads, weaken USD (helping EM), and lift gold; implied equity vols likely compress on a realized cut-driven risk-on. Risk assessment: Tail risks include a Fed hold/reversal (low-prob cut -> 10y >4.5%), sudden AI regulation or major model failure, and integration/dilution from acquisition-led growth (SOUN-like). Immediate (days) risk centers on Fed messaging and 10y moves; short-term (weeks–months) on Q4 earnings and funding windows for small caps; long-term (quarters–years) on enterprise AI adoption and margin capture. Hidden dependencies: government contract timing (material for PLTR), GPU supply constraints, and customer concentration; catalysts include Dec 10 Fed decision, NVDA earnings/capacity updates, and company disclosures of organic vs. acquisition revenue. Trade implications: Tactical bias to high-quality AI and semiconductors for 3–12 months while trimming pure-play, acquisition-led names. Direct trades include measured longs in PLTR and NVDA/SMH post-cut, funded by reducing cash/financial cyclicals exposure. Use options to express directional but capped risk: 3-month call spreads on PLTR and long-dated OTM puts on SOUN to hedge downside. Entry timing: scale into longs 3–5 trading days before the Fed if cut odds >75%, add on confirmation; reduce if 10y >4.5% or company organic growth remains undisclosed for 2 quarters. Contrarian angles: Consensus assumes broad AI re-rating; miss is quality dispersion—profits and free cash flow (PLTR) will be the anchoring metric, not revenue growth alone. The dot-com parallel is flawed because today rates are falling; however, lower rates can also encourage speculative M&A that destroys equity value—watch abnormal M&A volumes and purchase-price-to-cash-flow metrics. Mispricings: many microcaps (SOUN class) likely overvalue acquisition-driven top-line; unintended consequence of a cut could be temporary peaking of high-quality names as investors chase momentum, creating shortable froth in 4–8 weeks post-cut.