Snowflake surges 35% after AI deal and upgraded guidance

Snowflake shares surged 35% and headed for their best day ever after the company boosted guidance and announced an AI compute deal with Amazon. The company topped Wall Street's fiscal first-quarter expectations, adding 616 net new customers, a 38% year-over-year increase, and projected higher-than-expected fiscal second-quarter product revenue of $1.415 billion to $1.420 billion. The rally lifted other software stocks including ServiceNow, Oracle, and Palantir, as finance chief Brian Robins told analysts that AI tools like Cortex Code are driving a "step function change" in AI revenue potential.

Snowflake surges 35% after AI deal and upgraded guidance According to CNBC, Snowflake shares surged 35% and headed for their best day ever after the company boosted guidance and announced an AI compute deal with Amazon. CNBC reports Snowflake topped Wall Street's fiscal first-quarter adjusted EPS and revenue expectations and said it added 616 net new customers, a 38% year-over-year increase. Finance chief Brian Robins told analysts that AI tools such as Cortex Code are driving a "step function change" in the company's AI revenue potential, CNBC reports. The company also gave fiscal second-quarter guidance that includes an expected 12.5% adjusted operating margin on $1.415 billion to $1.420 billion in product revenue, CNBC reports. CNBC says the rally lifted ServiceNow , Oracle , and Palantir , while Salesforce was largely flat. What happened According to CNBC, Snowflake shares rose 35% and were headed for the company's best day ever after the firm boosted guidance and announced an AI compute deal with Amazon. CNBC reports Snowflake beat Wall Street's fiscal first-quarter adjusted earnings-per-share and revenue estimates and said it added 616 net new customers, a 38% year-over-year increase. CNBC quotes Finance chief Brian Robins telling analysts that AI tools such as Cortex Code are producing a "step function change" in the company's AI revenue potential. Financial detail reported CNBC reports Snowflake expects a 12.5% fiscal second-quarter adjusted operating margin on $1.415 billion to $1.420 billion in product revenue; analysts surveyed by StreetAccount had forecast an 11.9% margin and $1.37 billion in product revenue. CNBC also reports the market reaction lifted names across the software sector, with ServiceNow , Oracle , and Palantir up and Salesforce largely flat after its own results. Editorial analysis - technical context Industry-pattern observations suggest broader adoption of vendor-hosted AI compute and embedded model tools often accelerates monetization when customers pay for both data storage and compute. For practitioners, the combination of higher product revenue guidance and a named deal to use cloud-provider AI chips typically implies increased demand for integrated data+compute usage patterns rather than standalone storage spend. Industry context Observed patterns in comparable software-company beats show that positive guidance tied explicitly to AI features tends to re-rate valuation multiples in the near term, particularly across enterprise data and analytics vendors. For practitioners, the episode reinforces that Wall Street still reacts strongly to explicit AI monetization signals, and that cross-vendor partnerships with hyperscalers can move enterprise spending into bundled data-plus-inference trajectories. What to watch Indicators an observer should follow include subsequent quarterly disclosures of AI-related consumption revenue vs. base storage revenue, any public expansion of the Amazon compute deal, and customer-level metrics showing increased per-customer spend for AI workloads. Also monitor peers' guidance language for comparable AI-driven revenue lifts that could sustain the software rally. Scoring Rationale This is a notable earnings-and-partnership story: Snowflake's beat plus an AWS AI compute deal materially affected market sentiment and sector multiples. The development matters to practitioners tracking enterprise AI monetization, but it does not represent a new technical frontier or paradigm shift. Practice with real FinTech & Trading data 90 SQL & Python problems · 15 industry datasets Active Verified Users by Income TierEasy /problems/sql/active-verified-users-by-income Technology Stocks with High BetaMedium /problems/sql/technology-stocks-with-high-beta Portfolio Performance ScorecardHard /problems/sql/portfolio-performance-scorecard 250 free problems · No credit card See all FinTech & Trading problems /problems/datasets/fintech