The Decade of the Agent, Enterprise AI Reality, and Why Waiting Will Cost You

Andrej Karpathy just dropped a reality check: 2025 isn't the "year of the agent,” it's the decade of the agent. But does that mean enterprises should hit pause on their AI initiatives? Not even close.In this episode, the AI, Actually crew tackles the gap between AI hype and enterprise reality. Pete Reilly, Alon Goren, Mike Finley, and Jim Johnson break down why current LLMs aren't perfect, why that doesn't matter for ROI, and how smart companies are capturing value right now versus waiting ten years. From coding agents that ship features overnight to the organizational challenges of keeping AI solutions on the rails, this is your practical guide to navigating the AI landscape today.Topics covered:Why Karpathy's agent timeline doesn't mean you should wait to startWhere current AI models excel (and struggle) in enterprise environmentsThe hidden engineering work between impressive demos and production systemsNarrow use cases delivering ROI today: customer touchpoints, developer productivity, and sales pipelinesThe trade-offs between vendor lock-in and rapid implementationWhy "it's just prompts" misses the entire pointThe three skill sets required to keep AI solutions running in productionFollow the Gang:Pete Reilly, COO, AnswerRocket | https://www.linkedin.com/in/petereilly/Alon Goren, Founder, AnswerRocket | https://www.linkedin.com/in/alon-goren-87889681/Mike Finley, CTO, AnswerRocket | https://www.linkedin.com/in/mikefinley/Jim Johnson, Managing Partner, AnswerRocket | https://www.linkedin.com/in/jim-johnson-bb82451/Chapters: 00:00     Introduction to AI Actually Podcast02:22     The Decade of the Agent05:45     Understanding AI Agents in the Enterprise09:47     Navigating AI Use Cases13:39     Building Modular AI Solutions17:01     Identifying Low-Hanging Fruit for AI Implementation20:29     The Importance of AI in Competitive Landscapes24:36     Organizational Readiness for AI28:16     Closing the Gap for Real Value in AI32:06     Final Thoughts and Advice#AIAgents #EnterpriseAIImplementation #AndrejKarpathy #LLMLimitations #AIROI #CodingAgents #AIVendorLockIn #AIDeployment #AIOrganizationalChange #EnterpriseAIStrategyKeywords: AI agents, enterprise AI implementation, Andrej Karpathy, LLM limitations, AI ROI, coding agents, AI vendor lock-in, AI deployment, AI organizational change, enterprise AI strategy

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