FUTUREPROOF.
Welcome to FUTUREPROOF. We're the podcast that delves into the future. From Augmented Reality to Artificial Intelligence to Smart Cities to Internet of Things to Virtual Reality, we speak with some of the sharpest minds to better help you understand what the next few years may look like.Brought to you by author Jeremy Goldman (Going Social, Getting to Like).For booking inquiries: vie@futureproofshow.com
FUTUREPROOF.
AI Won't Burn Out...But *You* Might. (ft. Fredric Marshall, author, THRIVE)
Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.
We're living through the fastest technological acceleration in human history.
Every week brings a new AI model, a new productivity tool, and a new prediction that everything is about to change forever.
And yet somehow, most people feel less focused, less certain, and more overwhelmed than ever.
In this episode of FUTUREPROOF., I sit down with Fredric Marshall, author of THRIVE: The Antidote to Future Shock, to explore a possibility we don't talk about enough:
What if the biggest risk of AI isn't that it replaces humans?
What if it's that it exhausts them?
Fred has spent decades helping organizations like Apple, Pfizer, and Genentech navigate periods of intense change. His argument is that most organizations aren't suffering from a technology problem. They're suffering from an attention problem.
We're surrounded by tools designed to save time, yet nobody seems to have any.
We have more information than ever, yet many leaders feel less certain.
And we keep calling it a productivity problem when it may actually be a human capacity problem.
We discuss:
- Why "future shock" may be the defining leadership challenge of the AI era
- How AI can reduce friction—or quietly create more of it
- Why burnout is often a systems problem disguised as a personal one
- The hidden cost of constant context switching
- Why clarity may become more valuable than speed
- How leaders can separate signal from noise
- What it actually means to thrive during exponential change
Because if every problem gets solved with another app, another dashboard, or another AI assistant...
At some point, someone has to manage all those solutions.