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.

Databricks is raising massive rounds to build an AI offering that rivals cloud giants like AWS. This shifts the primary competitive landscape from a focused battle with Snowflake to a broader war for the enterprise AI agent market, explaining their aggressive fundraising and strategy.

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.

The fundamental business model of many SaaS companies is based on per-user pricing. AI agents pose an existential threat to this model by enabling smaller teams to achieve the same output as larger ones. As companies wonder why they should pay for 100 seats when 10 people can do the work, the entire economic foundation of the SaaS industry faces a crisis.

The defensibility of large SaaS companies has been their position as the 'system of record' (e.g., the CRM database). AI agents, which can perform valuable actions and pull data from disparate sources, threaten this moat. Value may shift from the static database to the AI-driven process itself, upending the market.

In public earnings calls, CEOs of companies like Figma and Workday express excitement for AI agents. However, in mandatory SEC filings, they warn that these same agents are a significant risk, capable of disrupting their industries and making traditional software solutions obsolete.

Value in the AI stack will concentrate at the infrastructure layer (e.g., chips) and the horizontal application layer. The "middle layer" of vertical SaaS companies, whose value is primarily encoded business logic, is at risk of being commoditized by powerful, general AI agents.

AI coding agents will make migrating between complex enterprise systems like SAP and Oracle dramatically easier and cheaper. This erodes the moat of high switching costs, forcing incumbents to compete on product value rather than customer lock-in, where they once held customers as "hostages."

A key risk, highlighted by CEO Satya Nadella, is that AI agents can bypass the valuable Platform as a Service (PaaS) layer of the cloud. Agents can interact directly with underlying databases and apply their own logic, eroding the value and stickiness of the middleware services that create moats for providers like Azure.