3 Artificial Intelligence (AI) Stocks to Leave Behind in 2026

Palantir appears richly valued despite 51% revenue growth in the first nine months of 2025, trading at a trailing P/E just above 450, forward P/E ~270 and a P/S above 125, suggesting limited near-term upside. C3.ai faces a management change after founder Thomas Siebel stepped down and a steep fiscal 2026 revenue guide cut from $448–$485M to $290–$310M, with revenue down 20% year-over-year in H1 and a $221M loss in the first two quarters versus $129M a year earlier. Rigetti’s revenue plunged 39% to $5.2M in the first nine months of 2025, driving a net loss of $198M (vs. $48M prior year) including a $149M fair-value hit on derivative warrants, while the stock is down ~60% from its October 2025 high and the business continues to rely on share issuance to fund operations.

Analysis

Market structure: The news accelerates a flight-to-quality inside the AI/quant complex — large-cap owners of critical infrastructure (NVDA, GOOGL, IBM) are primary beneficiaries while speculative, capital-hungry names (AI, RGTIW, small quantum plays) are immediate losers. Pricing power shifts toward cloud/semiconductor incumbents as customers prefer vendors with scale and balance-sheet resiliency; expect tighter bid-ask and lower implied vols in NVDA/GOOGL, wider vols and liquidity draws in AI/RGTIW. Supply/demand: demand for AI exposure remains strong but supply of high-quality, cash-generative AI equities is limited, putting upward pressure on top-tier valuations and amplifying downside for weaker names. Cross-asset: anticipate higher equity skew in tech, modest widening of high-yield spreads (~20–50bp) for speculative issuers, and potential USD strength as risk-off rotates to mega-caps.

Risk assessment: Tail risks include sudden regulatory action on AI models or export controls affecting NVDA/GOOGL (low-probability but >20% price shock), rapid cash exhaustion/dilution at RGTIW (bankruptcy/dilution >30% probability within 12 months absent financing), or contract non-renewals for PLTR (20–25% revenue hit scenario). Near-term (days–weeks) drivers are volatility and guidance/earnings updates; medium-term (3–12 months) hinge on contract renewals and cash runway; long-term (1–3 years) depends on market share in enterprise AI and chip supply. Hidden dependencies: government/defense revenue concentration (PLTR), vendor lock-in for cloud/GPUs, and warrant/derivative dilutive paths for small caps. Key catalysts: quarterly guides (next 1–3 quarters), NVDA data-center bookings, C3.ai leadership roadmap, and any M&A chatter for Rigetti.

Trade implications: Direct plays — initiate tactical short exposure to PLTR via 3–6 month put spreads sized 2–3% portfolio, and avoid outright long in RGTIW absent proof of 12+ month runway; build concentrated longs in NVDA and GOOGL (2–5% each) via LEAPs or stock for secular exposure. Pair trades — long GOOGL (or NVDA) vs short AI (C3.ai) to capture guidance/management dispersion; target 30–50% relative return over 3–9 months. Options — buy 3–6 month puts on AI and PLTR, and sell premium via covered calls on NVDA/NVDA LEAPs to finance positions. Sector rotation — trim small-cap AI/quant and reallocate to semis/cloud and defensive industrials (IBM) over next 4–8 weeks around earnings season.

Contrarian angles: Consensus understates survivability of high-margin government contracts (PLTR) — a disciplined hedge may be preferable to a full short because 15–25% downside could be reversed by large renewals. C3.ai’s P/S ≈5 prices distress; a credible cost-cutting plan or strategic partnership could produce 40–70% bounce (binary risk). Rigetti’s valuation is more one-way without fresh capital; however, it is an acquisition candidate if technology closes parity — small asymmetric call exposure (<0.5% portfolio) is defensible. Watch for short-squeeze dynamics in highly shorted names and for reallocation flows from distressed small-caps into mega-cap AI, which can sustain winners despite stretched multiples.

Key Decisions for Investors

• Establish a 2–3% portfolio short position in PLTR via 3–6 month put spreads (buy ATM puts, sell out‑of‑the‑money puts ~20–25% lower) targeting a 30% stock decline; set a stop if premium rises >20% and trim if PLTR reports a major government contract renewal within 90 days.
• Allocate 3–5% to NVDA via 12‑month LEAP calls (buy 15–20% OTM ) or outright stock for secular AI/GPUs exposure; take profits if NVDA rallies +30% from entry or if datacenter bookings in next earnings miss estimates by >10%.
• Initiate a pair trade: long 2% GOOGL (or NVDA) and short 1–2% AI (C3.ai) stock or 6‑month puts, targeting a 30–50% relative spread over 3–9 months; close if AI shows sustained sequential revenue stabilization (>0% QoQ) or management articulates cash runway >12 months.
• Avoid financed long positions in RGTIW; if speculative exposure desired, buy a capped 0.5% ‘lottery’ position via deep OTM 12‑month calls funded by selling nearer-term calls. Reassess only after management demonstrates cash runway ≥12 months or credible M&A interest.
• Purchase 3–month put spreads on a small-cap AI basket equal to 1–2% portfolio as a tail hedge against a clustered sell‑off; unwind if implied volatility falls >40% from peak or risk-off reverses into broad market rally within 30–60 days.