『FUTUREPROOF.』のカバーアート

FUTUREPROOF.

FUTUREPROOF.

著者: Jeremy Goldman
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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© 2023 FUTUREPROOF. アート
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  • AI Won't Burn Out...But *You* Might. (ft. Fredric Marshall, author, THRIVE)
    2026/06/16

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    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.

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    23 分
  • What If AI Really Is an Existential Threat? (ft. David Krueger, responsible AI professor)
    2026/07/21

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    For years, the AI industry has operated under a simple assumption: talent is global.

    That assumption is beginning to break.

    As governments increasingly view advanced AI as a matter of national security—not just commercial competition—companies are finding themselves caught between innovation, geopolitics, immigration policy, and global talent markets.

    In this episode of FUTUREPROOF., Jeremy sits down with David Krueger, AI researcher and professor, to explore one of the biggest shifts happening beneath the surface of the AI boom.

    Together they discuss:

    • Why AI is becoming a geopolitical asset rather than simply another technology.
    • The implications of limiting access to frontier AI research.
    • Whether restricting international talent ultimately strengthens—or weakens—the United States.
    • How companies should think about trust, security, and collaboration.
    • The unintended consequences of an increasingly fragmented AI ecosystem.
    • Whether we're entering a technological Cold War—and what that means for everyone else.

    This conversation goes well beyond one company's policies. It's about who gets to build the future, who gets left behind, and how national security is reshaping one of the fastest-moving industries in history.

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    27 分
  • From Data-Driven to Data-Inspired (ft. Dr. Sebastian Wernicke, data scientist & author)
    2026/05/27

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    Every company today says it’s data-driven.

    Billions are spent on analytics. AI pilots are everywhere. Dashboards glow with real-time metrics.

    And yet, only a small fraction of organizations actually transform.

    In this episode of FUTUREPROOF., I sit down with Sebastian Wernicke — author of DATA INSPIRED: Building an Organizational Culture of Inquiry for Lasting Transformation—to unpack why.

    Sebastian argues that the problem isn’t a lack of data. It’s a lack of inquiry.

    Most companies use data to optimize what already exists. Few use it to question assumptions, rethink business models, or challenge leadership narratives. That’s the difference between being data-driven and being data-inspired.

    We explore:

    • Why data doesn’t “speak for itself”
    • How organizations become excellent at staying the same
    • The dangers of data-resistant minds
    • Why psychological safety is foundational for real AI success
    • What “radical data integrity” actually requires
    • And how to navigate AI’s “jagged frontier,” where human judgment still matters

    This isn’t a conversation about tools; it’s about whether your culture is equipped to learn — especially when the evidence is uncomfortable.

    Because AI won’t transform your company. It will amplify whatever culture you already have.

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    26 分
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