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Is The AI Bubble About To Burst With Lawrence Mandelberg

Is The AI Bubble About To Burst With Lawrence Mandelberg


Episode 370


Welcome to the Artificial Intelligence Podcast with Jonathan Green! In this episode, we dive into the intriguing dynamics of business self-destruction and the AI hype cycle with our distinguished guest, Lawrence Mandelberg. Lawrence, an expert in organizational growth and sustainability, shares valuable insights on why some businesses unwittingly set themselves up for failure and how to navigate the complex landscape of change management.

Lawrence discusses the common pitfalls businesses encounter, such as resistance to change and lack of clarity in purpose. He highlights the importance of understanding the true value of your product or service and the significance of embracing change strategically to foster growth. 

Notable Quotes:

  • "Organizations have a built-in resistance to change... but growth forces change. You cannot have growth without change." - [Lawrence Mandelberg]
  • "Every human being loves change that they do unto others. Nobody loves change others do unto them." - [Lawrence Mandelberg]
  • "It's not about how often should we change, but about how much do we have to be better to justify investing in the change." - [Lawrence Mandelberg]
  • "The inflection point for change is when your current reality becomes more of a drag than your potential future." - [Lawrence Mandelberg]

Throughout the episode, Lawrence emphasizes the necessity for businesses to critically assess their operational strategies, looking beyond symptoms to address root causes of recurring issues. He illustrates this with compelling examples and provides listeners with practical frameworks for evaluating and implementing change effectively.

Connect with Lawrence Mandelberg:

If you're interested in understanding how to prevent your business from self-destructing and want expert advice from an insightful strategist, this episode is a must-listen!

Connect with Jonathan Green


Published on 12 hours ago






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