3 Under-the-Radar AI Stock Picks That Could Be Incredible Buys

The article highlights three speculative growth names—IonQ, SoundHound AI, and Nebius—as high-upside opportunities, citing strong revenue growth and rising demand. IonQ reported Q4 2025 revenue up 429% year over year and expects revenue to double next year, while SoundHound AI revenue grew 59% in its latest quarter. Nebius projects annual run-rate revenue of $7 billion to $9 billion by end-2026, up from $1.25 billion at end-2025, but profitability remains the key risk.

Analysis

The tradeable edge here is not “AI leadership” in the abstract; it is the market’s willingness to pay for option value in categories where commercialization is still uneven. NBIS looks best positioned tactically because it is the only name here with a clearer near-term monetization path from infrastructure scarcity: if AI compute remains the binding constraint, preferred access to accelerators can translate into outsized booking growth before profitability matters. That makes it less a pure software multiple story and more a capacity-constrained supply story, which tends to outperform during the phase when buyers are racing to secure supply rather than optimize unit economics.

IONQ is the highest-beta expression of a long-duration science bet, but the risk is that sentiment outruns the install base by years. The main second-order effect is that any credible quantum milestone could pressure adjacent high-performance computing and niche hardware suppliers, but the more likely near-term outcome is continued multiple compression whenever “revenue doubling” is not accompanied by evidence of repeatable conversion from pilots to scaled deployments. In other words, the stock may remain driven more by narrative peaks than by fundamentals for several quarters.

SOUNW sits in the middle: there is a real TAM expansion if voice automation moves from front-end demos to back-office workflow replacement, but adoption friction in regulated verticals will be slower than the market wants. The contrarian risk is that investors are underestimating how much of this category can be commoditized by platform incumbents embedding similar functionality into existing stacks. That makes SOUNW vulnerable to being a feature rather than a stand-alone category winner unless it can prove it owns workflow depth, not just interface novelty.

The broad portfolio implication is that the AI infrastructure beneficiaries remain better risk-adjusted than the “next frontier” names. META and MSFT are the likely latent winners if demand for inference and model deployment keeps rising, while NVDA remains the toll collector even if some customers diversify into alternative compute paths. The article’s optimism is directionally right, but it likely understates how much capital intensity and customer concentration can cap upside in the smaller names before the next leg of adoption arrives.

Key Decisions for Investors

• Overweight NBIS vs. SOUNW on a 3-6 month horizon: long NBIS / short SOUNW as a relative-value expression of ‘infrastructure scarcity beats application optionality’ while the AI capex cycle remains hot.
• Use IONQ only as a small, out-of-the-money call spread or starter position into volatility events; otherwise stay underweight until there is evidence of recurring commercial conversion over 2-3 quarters.
• Buy pullbacks in NVDA and MSFT on any selloff tied to fears of AI saturation; they remain the second-order beneficiaries if compute demand broadens and are lower-risk ways to express the theme over 6-12 months.
• If trading SOUNW, prefer event-driven entries around customer/contract announcements, but hedge with a profit-taking discipline after sharp spikes; the name is vulnerable to multiple compression once growth decelerates even modestly.
• For a basket approach, own NBIS/NVDA/MSFT and fund it by trimming the highest-duration exposure in IONQ; this gives exposure to the same AI spending cycle with materially better downside protection.