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Why AI and Digital Transformation Alone Won’t Save Your Growth: 9 Critical Reasons Technology Investments Fail to Deliver the Revenue, Innovation, and Competitive Gains Leaders Expect - Couverture souple

Sunn, Stephan

 
9798187852154: Why AI and Digital Transformation Alone Won’t Save Your Growth: 9 Critical Reasons Technology Investments Fail to Deliver the Revenue, Innovation, and Competitive Gains Leaders Expect

Synopsis



The Growth Illusion Exposed
This book challenges the pervasive assumption that technology investments automatically translate into business growth. Across global markets, organizations pour trillions into AI and digital transformation, yet consistently fail to achieve the revenue gains and competitive advantages they expect. The author argues that technology itself is not the problem—rather, it's what organizations don't do around technology that matters. Success depends on people, processes, and data, not platforms. The book's central thesis is that technology merely amplifies what already exists: if your processes are broken, data messy, or workforce unprepared, AI will simply accelerate failure.

Nine Critical Failure Patterns
Through examining organizations across North America, Europe, and Asia, the book identifies nine recurring reasons transformation efforts stall. These include buying technology before defining business problems, automating broken processes instead of fixing them, tracking productivity rather than value creation, changing tools without changing behaviors, letting messy data undermine smart systems, running pilots indefinitely without scaling, underestimating hidden costs, allowing technology to outpace organizational learning, and transforming operations while neglecting competitive strategy. Each pattern represents a human, behavioral, or strategic failure—not a technological one. The book emphasizes that the reasons technology fails to generate growth are remarkably consistent across industries and geographies.

A Roadmap for Career-Ready Professionals
For college students and young professionals, understanding these failure patterns offers a significant career advantage. The ability to identify why digital initiatives derail—and how to prevent it—is increasingly valued across every industry. The book provides practical frameworks, including the Human-Process-Data-Technology hierarchy and a Growth Readiness Checklist, that equip readers to drive meaningful change rather than just implement tools. In an era where AI transforms every profession, those who grasp the intersection of strategy, behavior, and execution will lead, while those who merely chase technology will follow. This book offers the critical insights to become the former.

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