Snowflake Stock Soars 36% on AI Demand and AWS Expansion
2 min readSnowflake stock jumped 36% on Thursday, its biggest single-day move on record, after the cloud data warehouse posted a Q1 beat and disclosed an expanded partnership with Amazon Web Services. The rally pulled the stock back above its 2026 highs and made Snowflake one of the loudest signals yet that enterprise AI demand is converting into real data-infrastructure spend.
Snowflake sells a cloud data platform that companies use to consolidate and query large datasets. For most of the last two years its growth story has been about regular data warehousing, with AI workloads framed as a future tailwind. The Q1 report flipped that framing: management called out AI-driven query volume as the single biggest contributor to the upside, and the AWS deal expansion is structured around joint go-to-market for AI customers.
What Snowflake Reported
Snowflake beat consensus on revenue, raised full-year guidance, and accelerated its product remaining performance obligation growth rate. According to Yahoo Finance, the company specifically highlighted AI agents, Cortex inference, and its new Polaris open catalog as the workloads pulling in incremental consumption.
The expanded AWS partnership is the second piece. AWS will sell Snowflake directly through its marketplace with a streamlined procurement path, and the two companies will co-engineer integration points between Snowflake’s compute and AWS’s Bedrock model-serving stack. For customers, that means a cleaner path from data sitting in Snowflake to inference running against Anthropic, OpenAI, and Meta models hosted on AWS.
Why It Matters
The numbers behind enterprise AI have been hard to read for most of 2026. Frontier model providers have published big revenue figures, but the picture below them, in the data and infrastructure layer, has been murkier. Snowflake’s quarter is the cleanest evidence yet that AI workloads are now meaningfully driving consumption inside the largest data platforms. NVIDIA prints AI revenue at the chip layer; Snowflake just printed it at the data layer.
The AWS deal also reframes how to think about hyperscaler versus independent positioning in the AI stack. AWS could have pushed customers toward its own Redshift data warehouse, but the deeper Snowflake partnership signals that the hyperscalers see more upside in serving AI inference than in fighting over the underlying data layer. Watch for Microsoft and Google to respond with similar expansions of Databricks and BigQuery joint motions in the next two quarters.