Snowflake $SNOW’s SNOW AI product suite is emerging as a key driver of workload expansion across its platform. As enterprises scale AI use cases, more data is being processed, queried and operationalized within Snowflake. This is directly increasing platform consumption and strengthening its role in enterprise data architectures.
A key catalyst is the rapid adoption of Snowflake Intelligence and Cortex Code. These tools are not just additive features. They are expanding how customers use the platform. Snowflake Intelligence enables business users to interact with data through AI-driven agents, increasing query volumes. Cortex Code accelerates development cycles, allowing teams to build and deploy data pipelines and AI applications faster. This leads to more frequent workload execution. Product revenue grew 30% year over year to $1.23 billion in the fourth quarter of fiscal 2026, reflecting steady demand and rising AI-driven usage. AI-enabled accounts exceeded 9,100 in the quarter. Snowflake Intelligence scaled to more than 2,500 accounts within three months of its broader rollout, while Cortex Code has been adopted by over 4,400 customers.
Momentum is also being driven by broader workload integration. Cortex Code CLI supports tools like dbt and Apache Airflow, allowing customers to extend existing data pipelines into Snowflake. This reduces friction and increases workload migration onto the platform. Partnerships with OpenAI, Anthropic and Google $GOOGL Cloud are enabling more AI workloads to run directly within Snowflake's environment, further lifting consumption.