To meet strict enterprise security and governance requirements, Snowflake's strategy is to "bring AI to the data." Through partnerships with cloud and model providers, inference is run inside the Snowflake security boundary, preventing sensitive data from being moved.

As noted by Chamath Palihapitiya, businesses fear deploying major AI models directly, seeing it as letting the 'fox into the henhouse' where their usage data could train a future competitor. This creates a strategic opening for 'harness-first' companies that offer enterprises control and choice over underlying models.

Snowflake's CEO views giants like OpenAI as "empires that have not met their oceans"—believing they can expand anywhere. To compete, companies must identify and avoid areas where these platforms have a natural 'right to win' (like coding agents), and instead build differentiated value elsewhere.

Enterprise platform ServiceNow is offering customers access to models from both major AI labs. This "model choice" strategy directly addresses a primary enterprise fear of being locked into a single AI provider, allowing them to use the best model for each specific job.

Cursor positions itself as a model-agnostic platform, turning potential competitors like OpenAI and Anthropic into partners. By being the "Snowflake for SDLC" on top of the "hyperscaler" models, they create a differentiated value layer focused on a vertical use case.

The core conflict in AI is over who owns the user interface. Model makers like OpenAI aim for a universal 'big brain' agent that consumes data, while data platforms like Snowflake are building specialized agents on top of their proprietary data to avoid becoming commoditized data pipes.

ServiceNow’s strategy is not to compete with LLMs or hyperscalers but to be the essential integration fabric connecting them. By acting as the "AI control tower" or "central nervous system," the platform provides value by orchestrating workflows across all these disparate, powerful systems.

Leading AI companies like Anthropic are positioning themselves as the infrastructure layer for intelligence, akin to how AWS provides infrastructure for computing. Their strategy is to partner with and enable existing SaaS companies, not to destroy them by competing directly at the application level.

Snowflake Intelligence is intentionally an "opinionated agentic platform." Unlike generic AI tools from cloud providers that aim to do everything, Snowflake focuses narrowly on helping users get value from their data. This avoids the paralysis of infinite choice and delivers more practical, immediate utility.