2 Game-Changing AI Stocks That Can Plunge 48% and 54%, According to Select Wall Street Analysts

Bearish analysts see 48% downside for SpaceX to $75 and 54% downside for Palantir from its $172.56 Sept. 15 close to Jefferies' $80 target. SpaceX's Q2 revenue rose 92% year over year to $7.8B, but its operating margin remained negative at 2% and capex reached $18.4B, including $15.8B for AI, while major Alphabet and Anthropic compute agreements face 2029 expiry and early termination risk. Palantir's recurring government contracts support raised sales guidance, but its trailing P/S ratio of 72—after exceeding 100 entering 2026—is cited as unsustainable bubble-level valuation.

Analysis

SPCX is primarily a financing-duration trade, not a clean AI beta. Its capital intensity means that any slowing in external compute commitments or a higher cost of capital can force investors to capitalize several more years of negative free cash flow, creating a nonlinear equity-value reset; the staged increase in tradable supply makes that reset more likely to occur on weak earnings or guidance dates rather than gradually. GOOG has asymmetric leverage in the opposite direction: it can preserve access to strategic compute capacity while retaining alternative cloud and internal-chip options, limiting customer concentration risk to SpaceX without meaningful balance-sheet exposure.

PLTR's vulnerability is less near-term revenue than the gap between durable government backlog and the valuation investors assign to incremental commercial growth. A modest deceleration in U.S. commercial net-new bookings, remaining-deal-value growth, or operating-margin expansion could compress the multiple even if headline revenue continues to beat; at elevated sales multiples, a 15-25% de-rating can overwhelm a typical quarterly fundamental beat. Conversely, confirmed acceleration in large enterprise deployments and sustained Rule-of-40 improvement would invalidate a valuation-only short.

Consensus may be too focused on an outright AI-demand collapse. The more probable 1-3 month pressure point is differentiation: capital markets will reward AI vendors that convert infrastructure spend into recurring, high-margin revenue and punish those whose economics depend on continual capex or promotional deal structures. Over 6-18 months, this favors cash-generative platform owners and semiconductor suppliers with diversified demand over application companies priced for uninterrupted hypergrowth.

Key Decisions for Investors

• Avoid initiating SPCX longs ahead of the next two unlock/earnings windows; consider a 3-6 month put spread only if borrow and implied volatility permit. Target a 20-30% downside move from entry, with risk defined by a close above the post-earnings high or verified multiyear contracted AI revenue sufficient to cover incremental capex.
• Initiate a 1-3 month pair: long GOOG versus short SPCX in equal beta-adjusted dollars. The thesis is relative capital efficiency and customer optionality; exit if SPCX demonstrates positive free-cash-flow trajectory or GOOG signals material incremental commitments without corresponding cloud monetization.
• For PLTR, wait for the next earnings release rather than shorting into momentum. Buy a 3-month put spread if commercial bookings or forward operating-margin guidance misses the market's implied growth path; risk is a material guidance raise plus accelerating large-deal conversion, which would justify maintaining premium valuation longer.
• Maintain NVDA exposure only as diversified AI infrastructure beta, not as a hedge for SPCX or PLTR. Set a review trigger around hyperscaler capex guidance: broad upward revisions support NVDA, while a shift toward internally designed accelerators or deferred data-center projects weakens the entire AI valuation complex.