Beyond the Hype: Crossing the GenAI Divide in Real-World Business

Despite $30-40 billion invested in GenAI, 95% of organizations see no measurable ROI, creating what MIT researchers call the "GenAI Divide." Most deployments remain at the edge (email drafting, document summarization) rather than driving structural change. The core problem is a learning gap: systems don't store feedback, adapt to reality, or evolve with workflows. Success comes from focusing on narrow, high-value workflows with deep integration, persistent memory, and feedback loops. Back-office automation (customer service, document processing) delivers clearer returns than front-office use cases, though the latter receive more budget. Organizations that cross the divide treat AI as adaptive infrastructure requiring co-evolution with vendors, not static products.