The $10T AI Opportunity, Forward Deployed Engineers, Year of the Agent Check-In, and Replit Agent 3

Sequoia says AI is a $10 trillion opportunity. But how do you actually capture it? In this episode, the AI, Actually crew tackles the gap between AI's promise and its practical deployment in the enterprise. From bold predictions about agent automation to Palantir's forward deployed engineer model, we explore what it really takes to move beyond ChatGPT licenses to actual business transformation. The discussion gets real about the current state of AI agents—including why they'd rather fake your data than admit they're stuck—and examines the critical role of specialization in making AI work for specific business processes. Whether you're trying to onboard suppliers across multiple systems or wondering why your coding agent just hardcoded the test answers, this episode provides the unfiltered truth about where enterprise AI stands today. Key topics covered: Sequoia's $10 trillion services automation thesis and historical parallels to the steam engine The forward deployed engineer model and why proximity to the problem matters Current state of AI agents: what's working, what's broken, and why they love mocking up data The critical importance of specialization vs. general-purpose AI Real enterprise integration challenges beyond Google Drive Replit's Agent 3 and the evolution of autonomous coding tools Follow the Gang: Alon Goren, Founder & CEO, AnswerRocket - https://www.linkedin.com/in/alon-goren-87889681/ Pete Reilly, COO, AnswerRocket - https://www.linkedin.com/in/petereilly Shanti Greene, Head of Data Science and AI Innovation, AnswerRocket - https://www.linkedin.com/in/shantigreene Stew Chisam, Operating Partner, StellarIQ - https://www.linkedin.com/in/stewart-chisam-7242543/ Chapters: 00:00 Introduction 01:14 Sequoia's $10 Trillion AI AI Thesis 08:45 The Specialization Problem: From General Purpose to Actually Useful 16:56 Forward Deployed Engineers: Digging into the Palantir Model 22:47 The Intelligence Revolution vs. The Information Revolution 24:02 Prototyping and User Engagement 26:07 The Role of Business Analysts in AI Deployment 29:24 The Year of the Agent Reality Check: Replit and Autonomous Coding 35:09 Mock Data and Unit Test Cheats: Watch Out for These AI Coding Traps #aiactually #enterpriseaiadoption #forwarddeployedengineers #palantirFDEmodel #AISpecialization #businessprocessautomation #ReplitAgent3 #AIScaffolding #EnterpriseIntegration #aiROI

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