The Revenue Room™ with Peter Cohan, Forbes Senior Contributor & Angel Investor

The Revenue Room™, by H2K Labs

In this episode of The Revenue Room™ Podcast, host Heather Holst-Knudsen sits down with Peter Cohan, associate professor at Babson College, strategic consultant, and author of Brain Rush. Together, they explore the transformative role of AI in driving revenue growth, creating competitive advantages, and reshaping leadership strategies.
Key Topics Covered:

• AI’s Value Pyramid: Peter introduces the concept of the AI value pyramid, outlining how businesses can utilize AI to overcome creator's block, improve functional productivity, and create entirely new growth curves.
• Challenges in AI Implementation: Discussion of the hurdles companies face, such as balancing innovation with risk, avoiding reputational damage, and overcoming fears from both CEOs and boards of directors.
• Real-World Examples: Insights into how companies like ServiceNow and Salesforce are leveraging generative AI to enhance efficiency, improve customer service, and drive rapid growth.
• Leadership and Cognitive Hunger: Peter shares his research on what differentiates successful CEOs, highlighting the importance of "cognitive hunger" for staying adaptive and innovative in fast-changing business landscapes.
• Proprietary Data and Competitive Advantage: Why leveraging proprietary data is crucial for creating defensible business strategies and maximizing AI's potential.
  

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ABOUT H2K LABS

H2K Labs is a tech-enabled value creation specialist that helps media, data/information, event, and marketplace businesses accelerate revenue, drive profitability, and fuel enterprise value using data, digital, and AI. We host The Revenue Room™ Podcast, curate Revenue Room™ Connect, a professional network for CEO and their revenue-critical C-Suite teams, and produce events including RevvedUP 2025. For more information, please visit https://www.h2klabs.com

To join Revenue Room™ Connect, please visit https://info.h2klabs.com/revenue-room-connect-information-request