FUTUREPROOF.

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

  1. 13 uur geleden

    Why the Smartest Professionals Are Learning to Pause (ft. author DJ DiDonna)

    Send us Fan Mail We're living through one of the fastest periods of workplace transformation in modern history. AI is reshaping jobs, layoffs have become a recurring reality, and many professionals are quietly asking themselves a question they never expected to ask: Can I keep working like this? In this episode of FUTUREPROOF., Jeremy Goldman sits down with DJ DiDonna, senior lecturer at Harvard Business School and author of BIG TIME OFF, to explore why stepping away from work may become one of the most important career strategies of the AI era. Drawing on years of research and hundreds of conversations with professionals who have taken extended breaks, DJ argues that sabbaticals aren't simply about recovering from burnout—they're about creating the space to rethink your work, your priorities, and your future before someone else makes that decision for you. Together, they discuss: How AI and rapid technological change are making career reinvention a continuous process. Why layoffs and unexpected career interruptions can become opportunities for reflection instead of just setbacks. The surprising competitive advantage that comes from intentionally creating time to think. How organizations can build cultures that prioritize long-term resilience instead of perpetual exhaustion. This isn't just a conversation about taking time off. It's about whether we've built a definition of career success that's no longer fit for the future—and what it might look like to replace it with something more sustainable.

  2. 21 jul

    What If AI Really Is an Existential Threat? (ft. David Krueger, responsible AI professor)

    Send us Fan Mail 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.

  3. 16 jun

    AI Won't Burn Out...But *You* Might. (ft. Fredric Marshall, author, THRIVE)

    Send us Fan Mail 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.

  4. 27 mei

    From Data-Driven to Data-Inspired (ft. Dr. Sebastian Wernicke, data scientist & author)

    Send us Fan Mail 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.

  5. 12 mei

    Product Design' Accessibility Mandate in the AI Age (ft. accessibility expert Corbb O’Connor)

    Send us Fan Mail We talk a lot about AI reshaping the future. We talk less about who gets to participate in it. In this episode of FUTUREPROOF., I sit down with Corbb O’Connor, who leads accessibility advocacy at Level Access. Corbb is blind. He’s spent years consulting enterprise teams — from financial institutions to global brands — helping them design digital experiences that are actually usable by people with disabilities. This isn’t a compliance conversation. It’s a systems conversation. As AI systems increasingly generate interfaces, content, decisions, and workflows at scale, accessibility can no longer be an afterthought. If accessibility isn’t embedded upstream — in product design, in data pipelines, in AI outputs — exclusion compounds just as quickly as innovation. Corbb argues that inclusion is not a moral add-on. It’s infrastructure. It’s economics. It’s risk management. And increasingly, it’s competitive advantage. We explore:  Why accessibility should be treated like cybersecurity — a non-negotiable requirement, not a retroactive fix  The difference between “AI for accessibility” and “accessible AI”  Why automated scanning tools can’t replace human testing  How poor product design quietly excludes users without teams even realizing it  Why psychological safety and culture matter just as much as tooling  And whether AI will widen or narrow accessibility gaps over the next five years If digital products define access to banking, healthcare, employment, and civic life, then accessibility isn’t a feature. It’s participation. And as AI becomes core infrastructure, the question becomes sharper: Are we scaling inclusion — or scaling exclusion?

  6. 21 apr

    The $1.4 Trillion Meeting Problem (ft. Dr. Rebecca Hinds, author)

    Send us Fan Mail We talk constantly about the future of work — AI agents, automation, leaner teams, productivity gains. But what if the real drag on performance isn’t technology — it’s coordination? Unproductive and unnecessary meetings cost companies up to $1.4 trillion every year. Seventy-one percent of senior leaders say meetings are inefficient. The average knowledge worker now spends around 11 hours a week in meetings. And nearly half admit to faking excuses to avoid them. This isn’t a scheduling issue. It’s a systems issue. Dr. Rebecca Hinds — founder of the Work Innovation Lab at Asana, the Work AI Institute at Glean, and author of YOUR BEST MEETING EVER: 7 Principles for Designing Meetings That Get Things Done — argues that meetings are organizational “junk drawers.” Instead of asking whether a meeting is necessary, companies simply default to adding another recurring invite. Her solution is radical in its simplicity: treat meetings like products. Define the user. Clarify the outcome. Design the experience. Measure performance. Iterate. In this episode, we zoom out beyond tactics and ask deeper questions: Why are humans so inefficient at coordinating with one another?  What do broken meetings reveal about incentives, trust, and accountability?  Does AI meaningfully solve meeting dysfunction — or simply automate it?  And in a world pushing toward automation, what is the human role in collaboration? If coordination is broken, no productivity tool can save us. And if meetings are the canary in the coal mine, we should probably pay attention.

  7. 14 apr

    The Science of Disagreeing Better (ft. author Julia Minson)

    Send us Fan Mail We live in a moment where disagreement feels dangerous. Politics is polarized. Social media amplifies outrage. Inside companies, dissent is often muted — not because people agree, but because they assume speaking up will damage relationships or reputations. But what if most of that fear is wrong? Julia Minson, decision scientist at Harvard Kennedy School, studies the psychology of disagreement. Her research on “conversational receptiveness” reveals something counterintuitive: people systematically overestimate how much disagreement will harm a relationship and underestimate how much thoughtful dissent earns respect. That miscalculation has consequences. When leaders avoid disagreement, bad ideas survive. When teams confuse persuasion with understanding, trust erodes. When we treat conflict as a character flaw rather than a cognitive process, we weaken our institutions. In this episode, we explore why humans are wired to assume they’re objectively right, how subtle language shifts can dramatically increase receptiveness, and why polarization may be less about ideology and more about judgment errors. And in an era where AI systems increasingly summarize, mediate, and even “assist” in conflict, what happens if our tools inherit our biases? And if healthy disagreement is essential to good decision-making, how do we preserve it inside organizations that prize alignment over friction? This isn’t a conversation about compromise. It’s about whether we still know how to disagree in ways that make us smarter.

  8. 31 mrt

    The Workforce Is *Not* AI-Ready (ft. Ben Tasker, AI education leader)

    Send us Fan Mail Everyone says they’re “AI-first.” Very few organizations are AI-ready. In this episode of FUTUREPROOF., we sit down with Ben Tasker, who is leading one of the largest workforce-scale AI education efforts in the public utility sector — upskilling 36,000 employees while advising global organizations on certification and governance. Ben calls this moment the “AI Between Times.” The tools are evolving rapidly, but the AI-driven economy they promise hasn’t fully stabilized. That gap creates risk — and opportunity. We unpack what actually breaks when companies try to move beyond pilot projects: Why buying AI tools is easy — and building internal capability isn’tThe tension between augmentation and displacementWhat the 70/30 rule means in cost-constrained environmentsWhy governance must precede implementationAnd how AI fluency is quietly becoming a new form of institutional powerBen argues that AI strategy lives or dies at the human level. Not because technology isn’t powerful, but because incentives, culture, and leadership determine whether that power compounds or fractures an organization. This conversation isn’t about hype cycles. It’s about whether institutions can transform fast enough — without breaking trust in the process. Because the future of work won’t be defined by who bought the best tools. It will be defined by who prepared their people.

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Info

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

Informatie

  • Maker
    Jeremy Goldman
  • Jaren actief
    2017 - 2026
  • Afleveringen
    30
  • Beoordeling
    Veilig
  • Copyright
    © 2026 FUTUREPROOF.
  • Website van aflevering
    FUTUREPROOF.

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