Snowflake's Strategy: Bring AI to Data, Not Data to AI — $200M OpenAI Deal, Cortex AI, and Project SnowWork
Snowflake is aggressively positioning itself as the platform where AI work happens, not just where data is exported from. With a $200M OpenAI partnership, the Observe acquisition, and the new Project SnowWork, the data warehousing giant is collapsing the traditional AI stack.
The Thesis
"Your data platform should be the place where AI work actually happens, not just a source you export from."
Historically, organizations stitched together a data warehouse, a feature store, and a separate AI/ML environment. Snowflake is collapsing that stack.
Recent Moves
- $200M OpenAI partnership (February 2026): Custom AI solutions for enterprise
- Google Gemini in Cortex AI (January 2026)
- Observe acquisition: AI-powered anomaly detection and root cause analysis
- Semantic View Autopilot: Shared business metrics for AI agents
- Snowflake Postgres: PostgreSQL extensions for data lakehouse (pg_lake)
- Project SnowWork (beta): Role-based AI personas for business workflows
Growth
- Customers: 7,800 (Jan 2023) → 13,330 (Jan 2026), a 70% increase
- Enterprise customers (Forbes Global 2000): 573 → 790
- Revenue: $4.7B in latest fiscal year
- Enterprise customers contributed 43% of revenue
The Governance Story
"The governance story of knowing where your data is and who touched it resonates strongly in regulated industries such as pharma, legal, and finance."
Moving data to AI creates compliance risks. Bringing AI to data keeps it within existing governance frameworks.
Source: The Register