Why Only 2% of Companies Are Ready to Win at AI with Bill Murphy
September 30, 2025
Here’s a shocking truth: only 2% of companies are genuinely AI-ready. What separates these leaders from the pack, and how can organizations bridge this critical gap? In this episode of the Signal to Noise Podcast, host Adam Zellner is joined by Bill Murphy, Managing Partner at Cresting Wave, to share what makes organizations truly AI-ready and how leadership can drive successful AI transformation.
Here’s a shocking truth: only 2% of companies are genuinely AI-ready. What separates these leaders from the pack, and how can organizations bridge this critical gap? In this episode of the Signal to Noise Podcast, host Adam Zellner is joined by Bill Murphy, Managing Partner at Cresting Wave, to share what makes organizations truly AI-ready and how leadership can drive successful AI transformation.
What You’ll Learn:
- Why AI differs from previous tech waves through unprecedented speed of adoption and implementation requirements
- How to identify the characteristics of AI-ready organizations
- The critical role of CEO commitment and resource allocation in successful AI initiatives
- Why traditional organizational structures may need reimagining to effectively implement AI
- How to balance technical expertise with business acumen when building AI leadership teams
- The importance of clean data infrastructure as a foundation for AI success
- Why creating flexible, adaptable AI strategies is crucial in a rapidly evolving landscape
Bill Murphy is the Managing Partner at Cresting Wave and the former Chief Technology Officer at Blackstone, bringing over three decades of experience in technology leadership and board advisory roles. As a veteran technology executive, he has vast expertise in enterprise technology transformation, AI integration, and strategic technology leadership. In his current role at Cresting Wave, Murphy helps curate innovative solutions for over 300 enterprises across various industries, while his tenure at Blackstone demonstrated his ability to implement large-scale technology initiatives and data-driven strategies.
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