AI Pilot Failures, Agent Disruption, and the AI Talent War

The MIT study claiming 95% of AI pilots fail has everyone talking—but what's really behind these failures? In this episode, the AI, Actually crew tackles the hard truths about why enterprises struggle with AI implementations and what separates the toys from the tools. The conversation kicks off with AnswerRocket CEO Alon Goren sharing his journey from pre-PC era computing to building AI solutions that actually work. The gang dives deep into the current state of AI agents in the workforce. Are they the new interns who need constant training, or are they about to trigger the largest labor disruption of our lifetime? From Klarna's famous (and failed) attempt to replace support staff to the reality of AI's impact on software development, the crew debates whether this time really is different. Key topics covered: • Why business problems, not technology, should drive AI adoption • The real reason companies are freezing hiring (hint: it's not what you think) • Meta's NBA-level salaries for AI talent and what it means for everyone else • The "I wish" framework for identifying viable AI use cases • Why the best AI implementations start narrow and expand gradually Chapters 00:00 Introduction: Meet Alon Goren 06:19 The AI Pilot Dilemma 11:57 Navigating AI Use Cases 21:08 AI Agents: The Largest Disruption of Our Lifetime? 32:05 How to Build Your AI Career 35:43 The AI Talent War: Recruitment and Retention Strategies 41:40 Assessing AI Depth of Expertise in Interviews

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