Snowflake Soars. 2 Software Stocks That Could Be Next

Snowflake reported Q1 revenue of $1.39 billion, up 33% year over year and above the $1.32 billion consensus, while adjusted EPS rose to $0.39 from $0.24, beating estimates of $0.32. Net revenue retention was 126% and remaining performance obligations climbed 38% to $9.21 billion, and the company also announced an expanded $6 billion AWS collaboration plus the acquisition of Natoma. The strong print sent SNOW up 34% and reinforced the article's view that beaten-down software names like Axon and Microsoft could see a sentiment rebound.

Analysis

The key signal is not that software is “alive,” but that usage-based and platform software with real switching costs is still monetizing AI rather than being displaced by it. Snowflake’s outperformance suggests the market has been over-discounting near-term AI cannibalization risk and underweighting the ability of incumbents to repackage data, workflow, and agentic layers into higher-value spend. The second-order winner is the cloud infrastructure stack: deeper AWS integration should pull more workload gravity toward hyperscalers and raise the cost of defection for customers already embedded in their ecosystems.

The more important read-through is for sentiment in beaten-down quality software names. If the market starts rewarding accelerating net retention and backlog again, the rebound could be violent because positioning is light and multiples have compressed before fundamentals broke. That creates a favorable setup for names with visible growth and strong ecosystem leverage, but the move is likely to be selective: companies with weak product differentiation or no clear AI attach rate will not catch the same bid.

For Axon, the opportunity is less about the headline business and more about the optionality from adjacent AI/drones/public-safety workflows; if investors re-rate software as “durable platform + mission-critical hardware,” the stock could recover faster than the market expects. Microsoft is the cleaner large-cap expression: downside is cushioned by Azure and distribution, while upside depends on proving its AI tools are additive rather than merely defensive. The contrarian miss in consensus is that AI disruption may actually accelerate spend concentration into the most entrenched platforms, not fragment it.

Near term, the main risk is a one-day sentiment pop that fades if subsequent software prints fail to confirm. Over 1-3 months, the catalyst path is a cluster of earnings beats and raised guidance; without that, this becomes another bear-market squeeze rather than a regime change. A macro risk is that enterprise budgets remain cautious, which would hurt smaller SaaS names first and make the rally fragile.

Key Decisions for Investors

• Buy SNOW on a pullback over the next 3-5 trading sessions; use it as the highest-beta expression of a software re-rating. Target a 10-15% follow-through if the market begins rewarding AI monetization, with a stop if the stock retraces more than half of the post-earnings gap.
• Initiate a long AXON / short high-multiple, AI-vulnerable SaaS pair trade for 1-3 months. The long leg benefits from mission-critical demand and software-hardware bundling; the short leg should be a slower-growth, high-duration name with limited AI pricing power.
• Add MSFT as a defensive AI winner over 3-6 months, especially on any weakness into product-event risk. Risk/reward is favorable because the downside is supported by cloud growth, while upside comes from evidence that AI tools drive incremental seat expansion instead of substitution.
• Use call spreads in SNOW or MSFT rather than outright equity if volatility stays elevated. That captures sentiment re-rating while capping premium paid if the market treats this as a short-lived squeeze.
• Avoid chasing the first gap-up in weaker SaaS names until next earnings confirms the pattern. The better entry is after the market rewards actual backlog/NRR acceleration, not just AI adjacency.