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The Strategic Paradox: Why AI Initiatives Fail When Strategy Shifts | Ruben E. Melendez | 17 comments
AI is transforming industries—but too many organizations are getting their enterprise-level AI strategy wrong. In the rush to adopt AI, they lack a cohesive, scalable approach, yet still expect AI to deliver lasting competitive advantage. The result? Wasted investments, missed opportunities, and a cycle of limited results. In my latest article, I break down why this approach is doomed to fail—and how the StrategyOps 2.0 framework provides a counterintuitive solution: anchoring your enterprise strategy while evolving AI as a tactical enabler. You’ll discover how to: - Define an AI strategy explicitly set to achieve your enterprise’s strategic and financial goals. - Align AI sophistication with your enterprise strategic business capabilities. - Maintain a timing advantage over competitors. - Transform disconnected AI experiments into drivers of sustainable competitive edge. If you’re responsible for shaping your organization’s AI strategy—or simply want to understand how to make enterprise AI work—this is a must-read. Let’s discuss: What’s your biggest challenge in building an enterprise-level AI strategy? #AI #EnterpriseAI #Strategy #Innovation #Leadership #DigitalTransformation #StrategyOps #VALTICS #XtraiveAI | 17 comments on LinkedIn