By Mukundan Sivaraj · AIM Media House
Snowflake shares surged 36% after the company raised its fiscal 2027 product revenue forecast to $5.84 billion and disclosed a new five-year, $6 billion agreement with Amazon Web Services (AWS). The scale of the partnership immediately separated the quarter from a routine enterprise software earnings beat.
For much of the last two years, enterprise AI discussions centered on pilots, copilots, and experimentation. Snowflake’s latest quarter suggested a different phase may be emerging. AI demand is beginning to show up in infrastructure commitments, recurring cloud consumption, and long-term revenue forecasts.
“AI has generated enormous excitement, but for enterprises, the real challenge and opportunity is turning intelligence into action,” Snowflake CEO Sridhar Ramaswamy said while announcing the AWS expansion. The earnings suggested enterprise AI spending is beginning to affect core software revenue.
The market reaction came after Snowflake tied AI demand directly to revenue growth and infrastructure consumption.
AI Is Reviving the Enterprise Software Growth Narrative Snowflake spent much of the past two years facing questions around slowing consumption growth, tighter enterprise cloud budgets, and increasing competition from Databricks and hyperscaler-native analytics platforms. AI is now changing that conversation.
The company raised its fiscal 2027 product revenue forecast from $5.66 billion to $5.84 billion after reporting first-quarter revenue of $1.39 billion. Net revenue retention improved to 126%, while the number of customers generating more than $1 million in trailing 12-month product revenue increased.
Management tied much of that momentum directly to AI-related demand. “AI is accelerating consumption in our core platform,” Ramaswamy said during the earnings call.
That distinction matters because much of the software industry’s AI messaging over the last two years remained difficult to connect to measurable revenue expansion.
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