Snowflake Aims To Become AI Control Plane With New Enterprise Features

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• Snowflake (NYSE:SNOW) has expanded Snowflake Intelligence and Cortex Code with new features aimed at supporting an agentic enterprise model.

• The updates focus on allowing both technical and non technical users to automate workflows and personalize experiences using AI.

• Snowflake now connects more directly with tools such as Salesforce, Google Workspace, and Slack, extending its reach across enterprise systems.

For investors following NYSE:SNOW, this development sits at the intersection of data platforms and enterprise AI. Snowflake has been known primarily for its cloud data warehousing offering, and these updates push its role further into day to day business workflows. The shift toward AI agents working on top of existing data and tools is a theme many large software vendors are pursuing.

These new capabilities indicate that Snowflake is positioning itself as more than a back end data repository for its customers. As enterprises look to put AI directly into sales, operations, and knowledge work, a platform that can coordinate agents across systems like Salesforce and Google Workspace may become more central to how software budgets are allocated.

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This product update pushes Snowflake further into the center of how enterprise AI gets deployed, rather than just where data is stored. By tying Snowflake Intelligence to everyday tools like Gmail, Google Calendar, Salesforce, Jira, and Slack, the company is trying to make its data cloud the coordination layer for AI agents that act across an organization. Features such as Skills, Artifacts, and multi step reasoning are aimed at helping both developers and business users automate repeatable workflows and reuse work, which can increase product depth inside existing accounts. On the builder side, Cortex Code’s broader support for external systems like AWS Glue, Databricks, and Postgres, plus IDE integrations such as VS Code and Claude Code, indicates Snowflake is competing directly for developer mindshare with players like Databricks and hyperscalers including AWS and Microsoft Azure.

• The launch reinforces the existing narrative that enterprise AI adoption and data platform modernization can support higher usage of Snowflake’s core services and AI products.

• Deeper integrations with rival environments such as Databricks and AWS also highlight competitive tension, which features in the narrative as a key uncertainty around long term customer retention and pricing power.

• The push to act as a control plane for third party AI agents and tools may not yet be fully reflected in longer term assumptions about how broadly Snowflake participates in non Snowflake data and workloads.

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• ⚠️ Snowflake is still unprofitable and analysts do not expect it to reach profitability over the next three years, so heavier investment in AI agents and developer tools could keep pressure on margins.

• ⚠️ Competition from hyperscalers like Microsoft, AWS, and Google, as well as specialists such as Databricks and Palantir, may limit how much Snowflake can charge for AI centric workloads.

• 🎁 Revenue is forecast to grow 17.91% per year, and AI focused products like Snowflake Intelligence and Cortex Code are positioned to participate in that if enterprises keep expanding AI use cases.

• 🎁 The shares are currently trading at a 40.4% discount to one fair value estimate, and broader use of Snowflake’s AI products could help support the long term earnings power that view relies on.

From here, focus on how quickly customers adopt the new Skills, Artifacts, and agent style workflows in production, rather than just in pilots. Adoption of Cortex Code across non Snowflake environments such as AWS Glue and Databricks will also be important, because it shows whether developers treat Snowflake as a cross platform control plane or keep most AI logic elsewhere. Finally, monitor commentary around AI related spending shifts, especially if more budgets move toward AI native tools from competitors, as that will shape how much of the agentic enterprise opportunity Snowflake can capture.

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

Companies discussed in this article include SNOW.

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