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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 changeBecause 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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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 mattersThis 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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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 yearsIf 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?
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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.
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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.
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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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In this episode of FUTUREPROOF., we sit down with Kevin Ashton—the technologist who coined the term Internet of Things and helped usher in the smartphone era—to talk about something even more foundational than AI.
Stories.
In his new book, The Story of Stories, Kevin traces a million-year arc—from the first fires where early humans gathered, to the invention of writing and printing, to electricity, electronics, and the smartphone. His thesis is provocative: language did not create stories. Stories created language.
Every major storytelling revolution has followed a simple pattern: it increases the number of people who can tell stories—and the number of people who can hear them.
For the first time in history, anyone can tell stories to everyone.
But there’s a catch.
While AI cannot understand meaning, algorithms now determine which stories we see, amplifying bias, shaping belief, and influencing behavior at scale. The power of storytelling has never been more democratized—or more intermediated.
We explore:
Why storytelling is innate, not cultural The eight great revolutions of human communication Why machines can generate content but not meaning The risks of algorithmic amplification The role of critical thinking in a post-scarcity information world Whether the next storytelling revolution is technological—or cognitiveThis conversation isn’t about nostalgia.
It’s about understanding the oldest human technology in a moment when the newest one is accelerating everything.If we think in stories—and we always will—the question becomes:
Who shapes the stories that shape us? -
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Healthcare is colliding with technology faster than most people realize.
In this episode of FUTUREPROOF., I sit down with analyst Rajiv Leventhal, who covers the intersection of healthcare, pharma, and tech, to unpack three forces reshaping the system at once: AI, GLP-1 weight loss drugs, and the mental health impact of digital life.
We start with AI as a health tool. Nearly a quarter of ChatGPT’s global weekly users now use it for health-related prompts. That’s not a niche behavior. It’s a mainstream one. The question isn’t whether people will turn to AI for medical guidance. They already are.
The real tension is trust and liability. General-purpose AI tools aren’t bound by HIPAA in the same way healthcare providers are. Yet they’re increasingly acting as digital concierges — answering late-night pediatric questions, explaining lab results, and helping people prepare for appointments in a system where access is strained.
And that system is strained. Even in major cities, patients can wait months — sometimes a year — to see specialists. When access gaps widen, alternative tools step in. AI isn’t replacing doctors. It’s filling holes.
We then turn to GLP-1 drugs and the weight-loss explosion. What began as diabetes treatment became a cultural and commercial wave driven by social media, FDA approvals, and aggressive advertising. But beneath the surface is a regulatory gray market of compounded versions, patent battles, and telehealth platforms monetizing demand.
Finally, we tackle social media’s impact on mental health. The evidence linking heavy use — especially among teens — to anxiety and depression is growing, even if causation remains complex. Is this a regulation problem? A parental problem? A public health issue? Or another example of technology moving faster than governance?
This episode isn’t about hype.
It’s about what happens when broken systems create openings — and tech companies move into the space.
Because when trust erodes and access declines, people don’t wait.
They improvise.
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For years, organizations have poured millions into DEI training.
And yet most employees still report discrimination. Promotion gaps persist. Trust remains uneven.
So what’s going on?
In this episode of FUTUREPROOF., I sit down with Lily Zheng — strategist and author of Fixing Fairness — to interrogate a hard truth: much of what we call DEI doesn’t work. Not because fairness is unpopular. Not because inclusion is misguided. But because we keep trying to fix people instead of fixing systems.
Lily introduces the FAIR framework — Fairness, Access, Inclusion, and Representation — and argues that the real leverage isn’t in workshops. It’s in incentives, evaluation criteria, hiring processes, and executive accountability.
We explore:
Why standalone DEI training can backfireThe “missing stair” metaphor — and how organizations normalize dysfunctionThe Cobra Effect of poorly designed diversity incentivesWhy representation is ultimately about trust, not opticsWhat meritocracy gets wrong about itselfAnd why rebranding DEI won’t solve structural problemsAt a moment when DEI faces political backlash and corporate retrenchment, Lily makes a counterintuitive claim: the future of workplace inclusion will be more rigorous, more measured, and more accountable — not less.
This is a systems conversation.
Not about slogans.
Not about performative commitments.
About incentives, power, and what actually moves outcomes.If you care about leadership, governance, and the second-order effects of institutional design, this episode will challenge you.
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For years, we treated emotional intelligence like a cultural add-on.
Nice to have.
Important, maybe.
But not central to performance.That framing doesn’t survive the AI era.
In this episode of FUTUREPROOF., I sit down with Dr. Bushra Khan, founder of Leading with BK, to examine what actually differentiates leaders as automation compresses the knowledge gap. When AI can draft, analyze, summarize, and even simulate difficult conversations, the advantage shifts. It moves from what you know to how you show up.
Bushra has spent over 15 years helping leaders translate emotional intelligence from buzzword into operating system. We talk about why “soft skills” should be understood as strategic skills, how negativity bias quietly distorts leadership judgment, and why loneliness inside high-performing teams is less about remote work and more about emotional avoidance.
We also explore some uncomfortable tensions:
If AI amplifies leaders, what exactly is it amplifying?When does candor become bluntness — and erode trust instead of building it?Why do leaders underestimate the emotional consequences of automation?What does bravery look like when decisions are both rational and painful?Bushra argues that most organizations are still trying to fix people instead of fixing environments. They invest in workshops while ignoring incentives. They push productivity while neglecting psychological safety. They assume proximity equals connection.
But as AI takes over more technical tasks, influence becomes the real differentiator. And influence is emotional before it is analytical.
This conversation isn’t about positivity or platitudes. It’s about leadership under pressure — layoffs, automation, rapid skills shifts — and what it takes to signal trust and authority through noise.
Because the future of work won’t just test our systems.
It will test our emotional maturity.
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This episode of FUTUREPROOF. is different.
My guest is Trevor Reed, a former U.S. Marine who was wrongfully detained and abused in a Russian gulag for nearly three years, freed in a high-profile prisoner exchange in 2022—and then made a decision few could comprehend: he voluntarily went to Ukraine to fight against the same system that imprisoned him.
In this conversation, Trevor reflects on what captivity does to the human mind, how survival reshapes your definition of justice, and why freedom—real freedom—can’t be taken for granted once you’ve lost it.
We talk about:
What daily life inside a Russian penal colony is actually like—and how close he came to dying thereThe mental discipline required to survive prolonged isolation, hunger, and uncertaintyThe emotional toll of being turned into a geopolitical bargaining chipWhy revenge eventually gave way to a deeper definition of justiceThe surreal contrast between everyday life and active war zones in UkraineBeing critically wounded by a landmine—and what it means to survive twiceHow his understanding of freedom, responsibility, and humanity has fundamentally changedThis is not a conversation about politics.
It’s a conversation about power, resilience, moral injury, and what it means to remain human when systems fail you.Trevor’s memoir, Retribution: A Former US Marine's Harrowing Journey from Wrongful Imprisonment in Russia to the Front Lines of the Ukrainian War, is not an easy read—but it is an important one. And this conversation is not comfortable—but it is necessary.
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What if the most undervalued leadership skill in the AI era isn’t technical fluency—but emotional presence?
This episode of FUTUREPROOF. features Claude Silver, the world’s first Chief Heart Officer and the No. 2 executive at VaynerX, joining the show to unpack why authenticity, empathy, and belonging are no longer “nice-to-haves,” but strategic advantages.
Claude’s 2025 book, Be Yourself at Work, challenges the long-standing belief that professionalism requires emotional distance. Instead, she argues that in a world defined by AI, automation, and burnout, the leaders who win are the ones who lead with heart—intentionally, skillfully, and without performative fluff.
We explore:
Why “authenticity” has been misunderstood—and how to practice it without oversharing or losing authorityWhat leading with heart actually looks like inside a 2,000-person global organizationHow emotional skills become power skills as AI absorbs more technical workThe difference between fitting in and true belonging—and why that gap is costing companies talent and trustHow leaders can balance emotional bravery with emotional efficiency in an always-on, high-pressure worldThis is a conversation about leadership after the old playbook breaks—and what replaces it when humanity becomes the edge.
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Healthcare is entering its most consequential design moment in decades.
As AI moves from the background into the core of clinical decision-making, diagnostics, and patient experience, the real question isn’t what AI can do—it’s whether people can trust it.
This week on FUTUREPROOF., I’m joined by Peter Skillman, Global Head of Design at Philips, and one of the few leaders shaping what responsible, human-centered AI looks like in healthcare at scale.
Peter has spent three decades designing products and systems at the intersection of hardware, software, and services—across Palm, Nokia, Microsoft, AWS, and now Philips. Today, he’s helping reimagine healthcare not as a hierarchy of authority, but as an experience built around patients, clinicians, and trust.
We talk about:
Why AI in healthcare must be designed with people, not just for themWhat happens when teenagers—future patients and clinicians—help design care systemsHow healthcare design is shifting from “what looks impressive” to “what feels humane”Why speed, clarity, and emotional context now matter as much as clinical accuracyThe long timelines of healthcare innovation—and why today’s design choices shape the next decadeWhat it really means to make AI visible, explainable, and trustworthy in life-and-death environmentsThis conversation isn’t about futuristic demos or abstract ethics.
It’s about how design decisions today will determine whether AI improves healthcare—or quietly erodes trust in it. -
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Guest: Joe Devon
Title: Chair, GAAD Foundation | Co-founder, Global Accessibility Awareness DayAI is reshaping how we design software—but accessibility still too often shows up as an afterthought. In this episode of FUTUREPROOF., Joe Devon joins us to unpack what it actually means to build technology that works for everyone, especially as generative AI becomes embedded across products, platforms, and workflows.
Joe explains why accessibility isn’t a niche concern—it affects more than 1.3 billion people globally—and why AI represents both the biggest risk and the biggest opportunity the accessibility movement has ever seen. We dig into the early findings from the AI Model Accessibility Checker (AIMAC), what most AI models still get wrong about accessible code, and why “AI will fix it later” is a dangerous assumption.
We also explore how front-end tools like AI-generated captions, voice interfaces, and image descriptions are changing daily life for users with disabilities—and where back-end AI systems can finally close the gap between automated testing and real-world usability. Throughout the conversation, Joe makes a compelling case that accessibility is not just a moral imperative, but a design discipline that will separate future-proof products from legacy ones.
Topics covered:
Why most digital products still fail basic accessibility standardsHow AI can dramatically expand—or quietly restrict—accessWhat AIMAC reveals about how accessible today’s AI models really areFront-end vs. back-end accessibility breakthroughsThe ethical stakes of deploying inaccessible AI at scaleWhy inclusive design must be a core requirement, not a patch -
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Climate change is a global problem—but climate capital doesn’t flow globally.
In this episode of FUTUREPROOF., Jeremy sits down with Lassor Feasley, co-founder and CEO of Renewables.org, to unpack why some of the highest-impact climate solutions on Earth remain dramatically underfunded.
Renewables.org applies a Kiva-style crowdfunding model to distributed solar projects across the Global South. Individuals can invest as little as $25 into no-interest loans that fund solar installations—and are repaid monthly over five years, allowing capital to be recycled again and again.
Lassor explains why:
A dollar invested in Global South solar can deliver up to 5x the carbon impact of a comparable U.S. projectTraditional climate fintech and ESG models break down in frontier marketsRepayment isn’t just financial—it’s proof of impactDesign, not just technology, determines whether climate solutions scaleThis conversation goes beyond solar panels to explore systems, incentives, trust, and the future of climate finance—and why everyday individuals may be better positioned than institutions to fund the energy transition where it matters most.
If climate change is a race against time, this episode asks a harder question: are we deploying capital where it actually counts?
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When Google’s algorithm changes caused HubSpot’s traffic to plummet 80%, most companies would have panicked.
Aja Frost saw an opportunity.
As Senior Director of Global Growth at HubSpot, Aja led the transformation that helped HubSpot not only recover—but become the most-cited CRM in generative AI results.
In this episode of FUTUREPROOF., Jeremy Goldman sits down with Aja to talk about how the rules of discovery, demand, and digital visibility are being rewritten in real time—and why Answer Engine Optimization (AEO) may be the next big discipline marketers can’t afford to ignore.
They discuss:
🔍 What happens when users trust ChatGPT more than Google
🧠 How HubSpot rebuilt its content strategy around AI answers
💬 The formula for getting cited by AI models—and what most brands get wrong
📈 Why visibility beats clicks in an LLM-driven world
🌐 The new off-site frontier: Reddit, YouTube, and the “dark funnel” of discovery
⚙️ How to measure success when your customer journey starts with a chatbotIf you work in marketing, SEO, or content—and you’ve felt the ground shifting under your feet—this episode will help you understand how to thrive in the AI search era.
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In a world where algorithms amplify outrage and newsfeeds reward noise, 1440 Media has quietly built something radical — a daily newsletter that promises “all your news, none of the bias.”
This week on FUTUREPROOF., Jeremy Goldman talks with Tim Huelskamp, CEO and cofounder of 1440, about how a 15-person team grew to reach over 4 million subscribers without chasing clicks, outrage, or political extremes.
Tim shares what he’s learned about:
- How 1440 found “white space” in a crowded media market
- Why being unbiased is both a superpower and a branding challenge
- How 1440’s ad model bucks media’s obsession with vanity metrics
- Why curiosity—not content—is the new currency for growth
- And what The Free Press sale reveals about the shifting trust economyIf you’re tired of doomscrolling and looking for what’s next in digital publishing, this conversation offers a blueprint for rebuilding trust, curiosity, and connection—one inbox at a time.
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As AI reshapes the world faster than most of us can process, we’re left with an uncomfortable question: What does it really mean to be human now?
This week on FUTUREPROOF., Jeremy sits down with Jeff Burningham — tech entrepreneur, investor, and author of The Last Book Written by a Human — to explore how we can cultivate wisdom, purpose, and empathy in an age obsessed with speed, scale, and artificial intelligence.
Jeff’s story is as surprising as it is inspiring: from Mormon missionary to real estate mogul, from political candidate to spiritual seeker. After years of building billion-dollar companies, he found himself confronting a deeper question — not how to make more, but how to matter more.
In this episode, Jeff and Jeremy discuss:
Why becoming wiser, not just smarter, is the next competitive advantage How technology mirrors our consciousness — including our biases and blind spots Why the future of leadership depends on emotional and moral intelligence What it means to design an economy — and a life — centered on meaning, not metrics And how AI’s reflection of us can become humanity’s greatest teacherWhether you’re a founder navigating AI disruption or a curious human trying to stay grounded in a digital age, this conversation will remind you that wisdom — not code — may be the ultimate frontier.
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Seth Berkley, MD has been at the front lines of the world’s biggest battles against infectious disease. As the longtime CEO of Gavi, the Vaccine Alliance, the cofounder of COVAX, and the founder of the International AIDS Vaccine Initiative, Berkley has helped bring lifesaving vaccines to billions of people.
In his new book, FAIR DOSES: An Insider’s Story of the Pandemic and the Global Fight for Vaccine Equity, Berkley lays out the hard truths of what went wrong during COVID—and how we can do better next time. From the rise of vaccine nationalism and political roadblocks to the explosion of misinformation, Berkley explains why inequitable vaccine access cost millions of lives and weakened global stability.
On this episode of FUTUREPROOF., we discuss:
Why the next pandemic is not a question of if, but whenWhat COVID-19 revealed about the politics of global healthHow vaccine nationalism and misinformation threaten our collective safetyLessons from COVAX and how to design faster, fairer systems in the futureWhy global cooperation isn’t just moral—it’s economic and existentialThis is a candid conversation about science, trust, and survival in a world that will inevitably face future pandemics.
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In a world obsessed with hustle, noise, and nonstop self-promotion, what if the most powerful way to stand out… is to stay true to your quieter side?
This week on FUTUREPROOF., Jeremy talks with Goldie Chan, once dubbed the “Oprah of LinkedIn” and author of Personal Branding for Introverts, about how to build visibility and influence without faking extroversion — or burning out.
Goldie is the founder of Warm Robots, a personal branding agency that’s helped executives, creators, and companies sharpen their stories. A LinkedIn Top Voice and keynote speaker, she’s also one of the platform’s earliest viral creators — though she still calls herself an introvert at heart.
In this episode, Goldie and Jeremy explore:
💡 Why authenticity beats volume in the new era of personal branding
🧠 How introverts can leverage empathy, observation, and storytelling as their edge
🌐 How to build digital presence without performing online 24/7
🚀 Why quiet consistency often outlasts viral moments
❤️ How to create meaningful visibility that aligns with your valuesWhether you’re a leader who hates self-promotion, or a creator struggling to balance visibility with authenticity, this episode is your guide to building a brand that resonates deeply — not just loudly.
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