‘Many companies are investing heavily in AI but failing to translate isolated productivity gains into meaningful business results. The problem is a “micro-productivity trap,” where firms optimize tasks without rethinking workflows or value creation, preventing organization-wide impact. This article outlines four steps to escape this trap—strategically narrowing use cases, reimagining cross-functional workflows, engaging frontline employees, and measuring outcomes tied to business value—illustrated through examples from companies like Lowe’s and a Fortune 1000 manufacturing firm.’
Link: https://hbr.org/2026/04/how-to-move-from-ai-experimentation-to-ai-transformation
AI Update 