The AI Aftershock: Why Businesses Need to Restructure Faster Than Expected

The AI Aftershock: Why Businesses Need to Restructure Faster Than Expected

Nobody really prepares you for the aftershock effect of AI. A few years ago, AI felt experimental. It was useful, exciting and relatively easy to contain inside certain workflows. This year felt completely different. As more people across our agency began adopting AI more deeply, I could feel pressure building beneath the surface of the business. That was the moment I realized this was no longer just about tools or marketing innovation. This was an operational and leadership shift happening in real time. I made the decision to step back, rip apart major parts of our internal systems and rebuild them before the disruption started ripping through the agency itself. That was not an easy decision after more than 20 years of building and scaling a company, but I knew the old structure would not support where AI was taking us next. I talk more about the aftershocks of AI and what this transition is actually starting to feel like for businesses and leaders in this episode of Under the Brand.

How AI Systems Are Driving Wall Street Decisions (And the Risks Leaders Ignore)

The story behind the AI systems that move billions on Wall Street began with one thing first: a belief strong enough to outlast the noise. In this final segment of my conversation with Dr. Craig A. Kaplan, he shares how this mindset shaped his work when he founded Predict Wall Street. Many questioned the idea early on, but he stayed the course. By combining insights from millions of everyday investors, he built a collective intelligence system that powered a hedge fund ranked in the top 10, outperforming most of the Wall Street pros. That same mindset is what he now applies to AI safety. Listen now.

Superintelligence Risks Explained: What Executives Get Wrong About AI

We often talk about AI as a powerful tool, but what happens when it grows faster than our ability to guide it? In part two of my conversation with Dr. Craig A. Kaplan, an AI pioneer, we explore the real risks behind how superintelligence is being built today. Craig has been ahead of this curve for decades, developing frameworks that prioritize people over processing power and offering a perspective that feels more urgent than ever. If you’re thinking about where AI is headed next, this is a conversation you do not want to miss.

The Real Role of Humans in an AI Future

Long before modern AI systems existed, one of the greatest minds of the 20th century defined the limits of intelligence. Dr. Craig A. Kaplan, an AI pioneer and creator of Open Democratic Frameworks for Safe Superintelligence, shared insights from his time collaborating with Herbert A. Simon during his PhD program at Carnegie Mellon University: “Reason is wholly instrumental. It cannot tell us where to go. At best, it can tell us how to get there.” No level of intelligence can determine what is right or wrong. Values do not come from computation. They have to be given, guided by human judgment and values. And as AI becomes more powerful, that responsibility only grows clearer.

How Do We Build Safe AI Systems? Governance, Risk and Leadership Challenges

AI is already outperforming humans in certain areas. The bigger question is what happens next? In this episode of Under the Brand, Dr. Craig A. Kaplan, an AI pioneer and creator of Open Democratic Frameworks for Safe Superintelligence, shares the phases of AI, what shifts as we move toward superintelligence and why risk rises with capability as systems get stronger and safety has to keep pace. Listen now.