18/06/2026
Many businesses are seeing quick wins with AI, but few are achieving real transformation.
According to a recent Harvard Business Review article, organizations often fall into a "micro-productivity trap," using AI to speed up individual tasks without rethinking workflows, customer value, or business strategy. The result? Better efficiency, but limited business impact.
The companies seeing the biggest gains are taking a different approach:
✅ Focusing on high-value opportunities
✅ Reimagining workflows across departments
✅ Empowering frontline teams to drive change
✅ Measuring business outcomes, not just productivity
AI's greatest potential isn't in doing the same things faster; it's in reinventing how your business creates value.
https://hbr.org/2026/04/how-to-move-from-ai-experimentation-to-ai-transformation
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 artic...