A Once-in-a-Decade Opportunity: 1 AI Software Stock to Buy Hand Over Fist Right Now (Hint: It's Not Palantir)

Snowflake reported fiscal 2026 earnings per share of $1.25, up 50% year over year, while remaining performance obligations rose 42% to $9.8 billion and product revenue grew 30% in the latest quarter. The company also signed its largest deal ever at more than $400 million in total contract value and seven deals above $100 million, suggesting accelerating AI-driven demand. The stock has fallen about one-third in 2026 and now trades near 10 times sales, which the article frames as a more attractive valuation than Palantir's.

Analysis

SNOW looks like a classic “quality growth at a discount” setup, but the deeper story is that AI is changing the mix of its revenue, not just the headline growth rate. Larger contracts and higher RPO imply the company is moving from seat-based expansion to platform standardization, which usually improves retention, pricing power, and visibility over the next 4-8 quarters. That tends to compress downside volatility because management can point to backlog conversion rather than needing to prove every quarter with new logo wins.

The second-order beneficiary is NVDA, but in a subtler way than a simple infrastructure trade: if Snowflake’s AI workloads expand inside existing enterprise data estates, GPU demand shifts from bursty experimentation to more persistent inference and retrieval workloads. That supports a broader enterprise AI capex cycle, but it also raises the bar for software vendors without deep data gravity. PLTR is the clearest relative loser on valuation, not fundamentals—its narrative premium leaves it most exposed to any moderation in growth or any sign that enterprise AI budgets are being spread across multiple platforms rather than concentrated in one winner.

The market may be underestimating how much of the upside is already in the multiple reset. At ~10x sales, SNOW does not need hypergrowth; it needs sustained mid-20s revenue growth plus incremental margin leverage to compound meaningfully. The main risk is execution drag: if large deal timing becomes lumpy or consumption weakens in a macro slowdown, the stock can retrace quickly because long-duration SaaS names still trade on confidence in forward billings more than reported earnings.

Contrarianly, the “cheaper than PLTR” comparison is too simplistic. PLTR’s premium is tied to government/defense scarcity and operating leverage, while SNOW is more exposed to broad enterprise budget discipline; that makes SNOW the better value, but not automatically the better momentum trade. The optimal setup is likely a relative-value long SNOW / short PLTR expression, with the caveat that PLTR can remain expensive longer than valuation logic suggests if AI sentiment stays hot.

Key Decisions for Investors

• Go long SNOW on a 3-6 month horizon ahead of the next two earnings prints; target 15-20% upside if large-deal conversion keeps RPO growth above revenue growth and margins continue to expand.
• Pair trade: long SNOW / short PLTR at current levels, sized as a valuation convergence trade; risk/reward favors SNOW if AI software multiples compress even modestly, but stop the pair if PLTR re-accelerates on a major contract catalyst.
• Add NVDA on weakness as an indirect beneficiary of expanding enterprise AI workload persistence; think 6-12 months, with upside tied to inference demand rather than training hype.
• Use call spreads rather than outright equity in SNOW if you want defined risk: buy 6-9 month upside spreads to capture rerating while limiting exposure to a post-earnings multiple reset.
• Avoid chasing after a strong gap-up in SNOW; wait for a 5-8% pullback or a post-earnings digestion period, since the stock likely needs proof of deal conversion more than headline AI enthusiasm.