The Enterprise AI Deployment Layer: Why Model Access Isn't Enough

What's really happening inside the AI agent implementation war?

The common story is that the AI agent battle is between OpenAI and Anthropic on raw model quality — but the reality is that private equity, hyperscalers, consultancies, and systems of record are all converging on the implementation layer where trillions of dollars actually live.

In this video, I share the inside scoop on why generic enterprise AI is getting squeezed from four directions at once:

• Why frontier labs are moving down the stack into deployment

• How private equity became a distribution channel for AI agents

• What the implementation layer actually contains for AI agents

• Where the real defensibility lives in agentic workflows

Builders, buyers, and PE all need to get specific about workflow design, data access, authority, evals, and audit trails — generic AI wrappers will not survive the squeeze that is now hitting enterprise agentic workflows.

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