This episode analyzes a report titled, "State of AI in Business 2025", from MIT NANDA, explores the surprising "GenAI Divide", revealing that despite significant investment, 95% of organizations see no return on their GenAI initiatives. The research, based on a multi-method design including a review of over 300 AI initiatives, interviews, and surveys, highlights that while general-purpose tools like ChatGPT are widely adopted for individual productivity, enterprise-grade solutions often fail due to poor integration, lack of contextual learning, and misalignment with workflows. The report suggests that success in GenAI hinges on adopting learning-capable, deeply customized systems, focusing on strategic partnerships over internal builds, and prioritizing back-office automation for higher ROI, all while acknowledging the emerging "shadow AI economy" of employee-driven tool usage. Ultimately, the document concludes that organizations must move towards "agentic systems" that learn and adapt to successfully bridge this divide and transition into an "Agentic Web" where autonomous systems coordinate actions across the internet.

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