{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69ab3b7c7036d739021982df/6a052e1f3eb645235648eb73?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"The Enterprise AI Deployment Layer: Why Model Access Isn't Enough","description":"<p>What's really happening inside the AI agent implementation war?</p><p><br></p><p>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.</p><p><br></p><p>In this video, I share the inside scoop on why generic enterprise AI is getting squeezed from four directions at once:</p><p><br></p><p> • Why frontier labs are moving down the stack into deployment</p><p> • How private equity became a distribution channel for AI agents</p><p> • What the implementation layer actually contains for AI agents</p><p> • Where the real defensibility lives in agentic workflows</p><p><br></p><p>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.</p><p><br></p><p>Subscribe for daily AI strategy and news.</p><p>For deeper playbooks and analysis: https://natesnewsletter.substack.com/</p><p><br></p><p>Listen to this video as a podcast.</p><p>- Spotify: https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4</p><p>- Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372</p>","author_name":"Nate B. Jones"}