What Old iPods and Tiny Cameras Teach Us About Technology, Ownership, and Being Human

There's a moment in this episode of Modem Futura where two grown adults are hunched over a miniature Polaroid camera, watching a blurry selfie slowly develop — and laughing about it. It's objectively a terrible photograph. But it captures something that most modern technology has quietly optimized away: surprise, imperfection, and the distinctly human joy of not knowing exactly what you're going to get.

This episode began with a box of old iPods — tangled cables, dead batteries, and all — and evolved into a wide-ranging conversation about what we trade away every time we upgrade to something faster, thinner, and more connected. The themes are ones that touch anyone who has ever felt a pang of something unnamed while scrolling through an infinite library of music and being unable to choose a single song.

Ownership in the age of access. The iPods in the conversation are air-gapped — no internet connection, no cloud sync, no subscription. The music on them belongs to their owner in a way that a Spotify library simply does not. This distinction matters more than it might seem, especially when you consider that digital books, photos, and music can disappear when a service shuts down or an account holder passes away. The question of digital legacy — who inherits your cloud — is one most people haven't thought through yet.

Craft, care, and the "fast food" of technology. Sean raises a pointed observation about a recently released video game that shipped with fewer features than its predecessor from a decade ago. It's a pattern that extends well beyond gaming: the pressure to release fast increasingly overrides the commitment to release well. When did "good enough" become the standard?

The paradox of abundance. One of the episode's most compelling threads is the tension between scarcity and surplus. Limited storage on an old iPod forced intentional curation — playlists that became personal time capsules. Unlimited streaming offers everything and, paradoxically, can deliver less meaning. Andrew's students, however, offer a counterpoint: raised in abundance, they've developed their own sophisticated habits of curation and care. Perhaps the pendulum is already swinging.

Imperfection as a feature. The tiny Kodak keychain camera. The Polaroid with its gloriously blurry output. The analog photograph whose chemistry introduces an element of chance. These aren't failures of technology — they're reminders that the most human experiences are often the least predictable ones.

This episode doesn't offer prescriptions. It offers an invitation: to notice, to question, and to be intentional about the role technology plays in your life before someone else makes that choice for you.

🎧 Listen to Episode 73 of Modem Futura — available on Apple Podcasts, Spotify, and wherever you listen.

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🎧 Apple Podcast: https://apple.co/4b3P8L8

🎧 Spotify: https://open.spotify.com/episode/2UNsDaZox2jdEb1QYN1m44?si=FUkqjQ0gSEecnYyrjKfoVA

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Thriving with AI: Two Futures Thinking Tools for Navigating Uncertainty

The question is no longer whether AI will reshape education. It already has. The more interesting question — and the harder one — is how educators, leaders, and institutions can navigate that transformation with clarity, purpose, and agency.

In this episode of Modem Futura, hosts Sean Leahy and Andrew Maynard walk listeners through a workshop they developed for ASU's 2026 Folk Fest titled "Thriving with AI: Ethical, Transparent, and Human-Centered Learning." Rather than demonstrating AI platforms or advocating for a particular stance, the session offers two practical thinking tools designed to help individuals make sense of complexity and make intentional decisions — regardless of where they fall on the AI adoption spectrum.

Foresight Methodologies

The Futures Triangle, originally developed by futurist Sohail Inayatullah, is a foresight method that maps three forces shaping any change landscape: the pull of the future (emerging visions and possibilities), the push of the present (trends, pressures, and mandates driving change), and the weight of history (the traditions, values, and institutional structures that resist or ground that change). By making these forces visible, individuals and teams can better orient themselves within the dynamics of change rather than simply reacting to them.

The Intent Map, drawn from Jefferey Abbott and Andrew Maynard's book AI and the Art of Being Human, complements the triangle by shifting from orientation to action. A simple two-by-two matrix, it asks users to identify four elements: their core values (what they won't compromise), their desired outcomes (what success looks like), their guardrails (the hard boundaries they won't cross), and their metrics (how they'll know if it's working). Critically, the framework recognizes that metrics don't have to be numerical — sometimes the most meaningful indicators of success are qualitative, like a student who can't stop thinking about what they learned.

What makes these tools particularly valuable is their accessibility. Both can be sketched on a scrap of paper. Both work for individuals and teams. And both are domain-agnostic — while the episode frames them in the context of education, they apply equally well to organizational strategy, technology adoption, and personal decision-making.

The episode is anchored by two provocative 2035 headlines: one in which AI tutors outperform human teachers and faculty roles come under review, and another in which human-AI partnership produces the most critically thinking generation in history. The question the workshop poses isn't which headline is more likely. It's which one you want — and what intentional choices you need to make to move toward it.

Thriving with AI, as the hosts frame it, isn't about mastering the latest platform. It's about staying awake to what matters.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/3ZXgT2P

🎧 Spotify: https://open.spotify.com/episode/1b1Q0W7YVSGZA2ELYj6g6C?si=wL1sXb-DQsSluBkLYCu9tg

📺 YouTube: https://youtu.be/zi_zvXCt9sY

🌐 Website: https://www.modemfutura.com/   

Asimov's "The Fun They Had" and the Real Cost of AI-Driven Education

The History of our Future

More than seventy years ago, Isaac Asimov imagined a future where children learn in isolation, guided by personalized mechanical tutors, and books are relics of a forgotten age. His 1951 short story, "The Fun They Had," is set in 2155, but its questions feel startlingly current.

In the story, a young girl named Margie discovers a paper book and learns about a time when children went to school together—sat in classrooms, were taught by human teachers, and shared the experience of learning with their peers. Her own education is efficient, personalized, and lonely. Her mechanical teacher can diagnose her struggles and recalibrate its approach, but it cannot inspire her, connect with her, or make her feel like she belongs to something larger than a lesson plan.

“Asimov didn’t predict AI as we know it. But he predicted the question that matters most: in our rush to optimize education, are we designing out the very things that make learning meaningful?
”

This is precisely the tension at the heart of today's conversation about AI in education. The promise of AI-powered tutors is real and, in many cases, genuinely valuable: adaptive pacing, instant feedback, content tailored to individual needs. But when personalization becomes the dominant paradigm—when every learner is on a separate track, in a separate space, at a separate time—the communal dimensions of education begin to disappear.

Natural Human Impulses for Learning (not schooling)

John Dewey argued more than a century ago that learning is driven by four natural impulses: inquiry, communication, construction, and expression. Most of these are inherently social. They depend on friction, dialogue, surprise, and the presence of other people. No amount of algorithmic sophistication can fully replicate the moment a teacher's unexpected enthusiasm shifts a student's entire trajectory, or the experience of working through difficulty alongside peers who share the same struggle.

Asimov's story also raises a subtler question about what endures. The book Margie discovers has survived two centuries. The static words on the page—unchanging, tactile, physical—carry a kind of permanence that digital media cannot easily match. This resonates with the growing cultural appetite for analog experiences: vinyl records, film photography, even old iPods. These are not acts of technological rejection. They are expressions of a deeper need for embodied engagement, deliberate choice, and the kind of friction that gives experience its texture.

Where do we go next?

None of this means AI has no place in education. It does, and increasingly will. But Asimov's story is a quiet reminder that the most important things about learning—curiosity, connection, belonging, the joy of shared discovery—are not problems to be optimized. They are human experiences to be protected.

The question is not whether AI can teach us. It's whether, in building systems that teach us more efficiently, we are designing out the very things that made learning worth having in the first place.

*Episode 71 of Modem Futura explores these themes through Asimov's story and a wider conversation about technology, nostalgia, and what it means to learn as a human being.*

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🎧 Apple Podcast: https://apple.co/4s1lDk1

🎧 Spotify: https://open.spotify.com/episode/20I5j2DliUnZAbWDiVw7y8?si=WoEW_Zb2SPiynHYb4d8XHA

📺 YouTube: https://youtu.be/TDQc15Muwto

🌐 Website: https://www.modemfutura.com/   

Vibe Coding and the Return of Personal Software

The Echo of Early Personal Computing

There was a brief, electric moment in the history of computing—roughly the late 1970s through the mid-1980s—when ordinary people could sit down at a keyboard and make a machine do something it hadn't done before. The Commodore 64, the BBC Micro, the Apple II: these were limited, clunky, and profoundly empowering. For a generation, they opened the door to a kind of creative agency that felt almost magical.

That door closed, gradually, as software became professionalized. The gap between what you could imagine and what you could build widened into a canyon. If you wanted a tool that didn't exist, you needed a developer—or you went without.

Vibe coding is reopening that door.

The term refers to the practice of describing what you want in natural language and letting a generative AI—tools like Claude, ChatGPT, or Copilot—write the code for you. No syntax to memorize. No debugging by hand. You describe your intent, and working software comes back in seconds.

In this episode of Modem Futura, we explore what this shift means—not just technically, but humanly. I demonstrates tools he built from single prompts (also referred to as a a ‘one-shot’): a horizon-scanning app for futures research and a two-by-two uncertainty matrix used in strategic foresight. Both were functional on the first attempt. Both took less time to create than it takes to describe them.

The Inherited Power Problem

But the episode resists the temptation to treat this as a simple good-news story. The hosts dig into the real tensions: AI-generated code that no one fully understands, security vulnerabilities baked into apps that reach market before anyone reviews them, the new threat landscape of prompt injection, and the philosophical question of wielding power you haven't earned the literacy to evaluate—what the hosts call "inherited power."

There are also rich implications for education. Rather than relying on off-the-shelf apps that never quite fit, instructors and students alike can now build purpose-specific tools—and in doing so, develop a more grounded understanding of what these AI systems can and cannot do.

The deeper question the episode surfaces is less about code and more about agency. For decades, software was something done to us—platforms we adapted to, interfaces we learned, ecosystems we bought into. Vibe coding hints at a possible reversal: software shaped by the individual, for the individual, in the moment they need it.

Whether that future is liberating or reckless—or both—depends on the kind of literacy, caution, and imagination we bring to it.

Listen to the full conversation on Modem Futura.

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🎧 Apple Podcast: https://apple.co/4rbOr9r

🎧 Spotify: https://open.spotify.com/episode/28DMXJsM2kEBA2QDxuDmtJ?si=AJpR7zCpRgS2KCCfWwjjWg

📺 YouTube: https://youtu.be/lQGYaiThuBk?si=nRbHVEQk9dwL3gXr

🌐 Website: https://www.modemfutura.com/   

The Future From a Kid's Perspective: What a 10-Year-Old Thinks About AI, Jobs, and Meaningful Work

We spend a lot of time talking about young people when we discuss the future of technology. We debate how AI will affect their education, reshape their careers, and transform the world they'll inherit. But we rarely stop to ask them what they think.

In this special episode of Modem Futura, we did exactly that. Freddie Leahy—co-host Sean's almost-10-year-old son—joined us for an unscripted conversation about artificial intelligence, meaningful work, and the questions that don't have easy answers.

Already Thinking About Job Displacement

When asked what he thinks about when he imagines the future, Freddie's first response wasn't about flying cars or space travel. It was about jobs.

"I kind of more think about the AI part of the future," he said. "And I'm just wondering what jobs will be overran by AI."

He's almost ten. And he's already calculating whether his dream career—paleontology—will exist by the time he's ready to pursue it.

This isn't abstract concern. Freddie has a specific vision: he wants to be like Alan Grant from Jurassic Park, out in the field, hands in the dirt, discovering fossils himself. When we suggested that AI might help him find more dinosaur bones faster, he didn't immediately embrace the idea. His worry isn't about efficiency—it's about being separated from the work itself.

"I would be doing it not for the money," he explained, "just because of the experience."

The Limits of AI Creativity

Freddie has firsthand experience with generative AI. He and I have spent time creating AI-generated images—D&D characters, fantasy creatures, book covers. But he's noticed something that many adults are also discovering: the gap between imagination and output.

"Every time you create an AI image," he said, "you never feel like it's quite right. So you just keep making these, and then you have to choose one, but in the end it never feels like the perfect cover you wanted."

When asked why, his answer was simple: "AI isn't our heads."

This observation—from a fourth-grader—gets at something fundamental about the current state of generative tools. They can produce impressive outputs, but they can't access the specific vision in your mind. The friction between prompt and result isn't just a technical limitation; it's a gap between human intention and machine interpretation.

When it comes to his own writing—Freddie is working on stories—he's clear that he doesn't want AI assistance. The temptation exists, especially when facing a blank page. But he recognizes something important: "It's the point about using your own creativity."

Suspicious of AI Companions

One of the most revealing exchanges came when we explored the idea of AI friendship. What if Freddie could have an AI companion who shared all his interests—someone who wanted to talk about dinosaurs as much as he does?

His response was immediate skepticism.

"That would be weird," he said, "because nobody likes what I like."

The very thing that might make an AI friend appealing—perfect alignment with his interests—is exactly what made it feel inauthentic. Part of what makes his interests meaningful is that they're his, distinct from the people around him. An AI that mirrored them perfectly would feel hollow.

When pressed further about whether he'd want an AI as a secret companion—a sort of digital spirit animal—Freddie remained uncertain. "Who knows what it could do," he noted. "It could hack everything."

There's healthy skepticism there, but also something deeper: a sense that friendship involves more than shared interests. It involves trust, vulnerability, and the unpredictability of another mind.

"I Refuse": Mind Uploading at Nine

During our Futures Improv segment, we posed a classic transhumanist scenario: What if you could upload your consciousness to a computer and live forever digitally, while your biological body remained behind?

Freddie's answer required no deliberation:

"I refuse. I will not upload my brain into a digital computer."

His reasoning was practical but profound. At nine years old, why would he abandon a body that works? The theoretical benefits of digital immortality don't outweigh the immediate reality of physical experience.

This perspective offers a useful counterweight to futures discourse that sometimes treats technological transcendence as obviously desirable. From Freddie's vantage point, the question isn't whether we can escape biological limitations, but whether we'd want to—and what we might lose in the process.

Questions Without Right Answers

Perhaps the most important takeaway from this conversation came near the end, when Freddie observed something about the nature of our questions.

"Because of all these questions," he said, "there is no wrong or right answer."

That's exactly right. The value of futures thinking isn't in predicting what will happen or determining the "correct" response to emerging technologies. It's in learning to sit with uncertainty, explore tensions, and develop our capacity for navigating complexity.

At almost ten years old, Freddie already understands this. He's not looking for definitive answers about AI and jobs and creativity. He's learning to ask better questions—and to recognize that asking them is more important than resolving them.

What the Future Thinks About Itself

We often frame conversations about technology and youth as adults preparing children for a world we're creating. But this episode suggests something different: young people are already thinking about these issues, often with more nuance than we might expect.

Freddie isn't anti-technology. He plays VR games, makes AI art, and follows developments in the field. But he's also holding onto something—a sense that some experiences are valuable precisely because we do them ourselves, that the struggle of creation is part of its meaning, and that efficiency isn't the only measure of a good life.

These aren't lessons we taught him. They're insights he's developing on his own, as he navigates a world where these technologies are simply part of the landscape.

Maybe the best thing we can do isn't to tell young people what the future will look like. Maybe it's to listen to what they already think about it—and learn from their perspective.

I don't know what the future holds for his generation. But if this conversation is any indication, they're thinking about it more carefully than we might expect.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/4khmVES

🎧 Spotify: https://open.spotify.com/episode/5nKjpEVZcaUDisdZpGGaMZ?si=YgWp_O84T1yVlBSloedV1w

📺 YouTube: https://youtu.be/mfumkJZav-M

🌐 Website: https://www.modemfutura.com/   

Pluribus and the Philosophy of the Happy Apocalypse: What Apple TV's New Sci-Fi Asks About Individuality, Consent, and Being Human

What if happiness is the threat?

Most apocalypse stories share a common grammar: society collapses, resources become scarce, and survival demands violence. We've internalized this template so thoroughly that it shapes how we imagine catastrophe itself.

Apple TV's Pluribus, created by Vince Gilligan (Breaking Bad, Better Call Saul), disrupts that grammar entirely. Its apocalypse isn't marked by destruction or suffering. It's marked by peace. By synchronization. By happiness—at a planetary scale.

An alien signal arrives carrying an RNA sequence. Humanity, being humanity, synthesizes it. Within days, most of the global population transforms into a unified hive mind. Not zombies. Not drones. Just billions of people sharing consciousness, moving together, experiencing what appears to be genuine contentment.

About a dozen people remain unconverted. And the series follows one of them—Carol Sterka, played by Rhea Seehorn—as she grapples with being the most unhappy person on earth.

On a recent episode of the Modem Futura podcast, we explored what Pluribus surfaces about individuality, consent, collective identity, and the stories we tell ourselves about what makes a human life worth living. What follows are some of the tensions that emerged.

What is in a Name: Many Without the One

The title "Pluribus" comes from the Latin phrase E Pluribus Unum—"out of many, one"—which appears on American currency as a motto of national unity.

But the show drops both the "E" (out of) and the "Unum" (one). What remains is simply "Pluribus": the many. It's a subtle signal that this isn't a story about diversity coming together into unity. It's a story about what happens when "the many" becomes literal—when individual minds merge into a single, collective consciousness.

That linguistic choice frames everything that follows.

Who Becomes the Monster?

One of the most productive lenses for understanding Pluribus is Richard Matheson's 1954 novel I Am Legend. Not the Will Smith film adaptation, but the original text, which ends with a devastating realization: the protagonist, who has spent the story hunting the "monsters" who have replaced humanity, comes to understand that from their perspective, he is the monster. The one who kills in the night. The one who refuses to accept the new order.

Carol Sterka occupies similar territory. She's convinced she needs to "set things right"—to restore humanity to its pre-hive state. But the show keeps surfacing an uncomfortable question: right for whom? The hive mind has eliminated war, poverty, and suffering. Billions of people who lived in misery are now at peace.

If Carol succeeds in reversing the transformation, she's not saving people. She's condemning them to return to lives many of them would never have chosen.

The Consent Paradox

The hive mind in Pluribus operates under an interesting constraint: it cannot lie, and it will not assimilate anyone without their explicit permission.

This sounds like respect for autonomy. And in some sense, it is. But the hive mind also desperately wants everyone to join (even explaining that it’s a ‘biological’ imperative). So what emerges is a kind of relentless, patient persuasion—always honest, always gentle, and always oriented toward a predetermined outcome.

There's something uncomfortably familiar in this dynamic. We navigate versions of it constantly: platforms that "personalize" our experience toward their engagement metrics, systems that "recommend" content optimized for their retention goals, interfaces designed to make one choice frictionless and alternatives invisible.

The hive mind's honesty doesn't make its agenda less persistent. It just makes the agenda transparent.

The Sustainability Problem

Midway through the season, Pluribus introduces a complication: the hive mind will only consume things that have already died naturally. No killing. No harvesting. Just waiting for life to end on its own terms.

Which means, at planetary scale, they're slowly starving.

This creates a strange inversion. Carol, the last holdout, has skills and knowledge that could help solve the problem. But she's too consumed by her mission to "fix" things to collaborate with the very beings who need her help.

There's something painfully recognizable in that dynamic—the way ideological certainty can prevent us from engaging productively with people whose worldview differs from our own, even when collaboration would benefit everyone.

Is the Individual Still in There?

One of the more haunting threads in Pluribus involves the question of whether individual identities persist within the hive mind.

Carol's "chaperone"—a member of the hive who presents as an individual named Zosia—occasionally exhibits moments that feel less like collective consciousness and more like... a person surfacing. A memory that seems too specific. A reaction that seems too singular. (The Mango ice cream scene is a particular interesting one where for a moment - the real Zosia seems to surface).

Another character (Manousos) experiments with radio frequencies, attempting to extract individuals back out of the collective, seemingly trying to hack the near field electromagnetic connections the “others” have with one another.

The show doesn't resolve this, but rather leaves it as a season 1 cliffhanger as it seems some progress is made. But it raises the question: if you could pull someone out of a state of collective happiness and return them to individual consciousness, would that be rescue or harm? Liberation or trauma?

There's no easy answer. And Pluribus is wise enough not to pretend there is.

The AI Parallel (That Isn't Really About AI)

Vince Gilligan has stated that Pluribus isn't intended as an AI allegory. The original concept predates the current wave of generative AI by years.

And yet.

The show's exploration of collective intelligence, of optimization toward contentment, of systems that genuinely want to help but whose help involves transformation into something other than what you were—all of it resonates with questions we're already asking about artificial intelligence and its role in human flourishing.

The hive mind's impulse to "fix" things, to smooth over friction, to optimize for happiness—that's not so different from Silicon Valley's persistent faith that the right algorithm can solve human problems. The show doesn't moralize about this. It simply shows what it might feel like to be on the receiving end of that faith.

The hive mind might be the best thing that ever happened to humanity. Or it might be the end of everything that made humanity worth preserving. The show suggests both readings are available, and neither is obviously wrong. In the end, this is my favorite part of the show - it catalyzes great conversations… it pushes us to examine very human elements by forcing us to entertain scenarios in which we question what it means to be human. Now we just have to wait a seemingly excruciating long time until Season 2 will be ready – until then, stay curious!

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/4k0l1bo

🎧 Spotify: https://open.spotify.com/episode/5ymC2VZJUz7iLTvYj89CXa?si=52mn5UiBRH-gbkpSEnV4Tw

📺 YouTube: https://youtu.be/xsxJWN5FO-U

🌐 Website: https://www.modemfutura.com/   

Related Reading

• I Am Legend by Richard Matheson

• Solaris by Stanisław Lem

• The Borg episodes of Star Trek: The Next Generation

Understanding Global Risk: What the WEF's 2026 Report Reveals About Our Collective Anxieties

How 1,300 experts see the world's greatest threats—and what their blind spots tell us

Each year, the World Economic Forum surveys over a thousand experts worldwide—business leaders, academics, policymakers, and institutional leaders—to map perceived global risks. The resulting Global Risks Report isn't a prediction of what will happen. It's something potentially more valuable: a snapshot of collective concern, a reading of the signals building across economic, environmental, technological, and societal domains.

The 2026 edition reveals tensions worth examining closely.

Short-Term Fears: The Present Pressing In

The two-year risk horizon is dominated by immediate geopolitical and informational concerns. Geoeconomic confrontation leads the list, having jumped eight positions from the previous year—a signal that trade conflicts, sanctions regimes, and economic nationalism have moved from background noise to foreground crisis for many observers.

Misinformation and disinformation hold second position, reflecting growing unease about information integrity in an age where AI-generated content becomes indistinguishable from authentic material and where social permission for deception seems to be expanding. Societal polarization follows in third place—and importantly, these three risks appear deeply interconnected. Misinformation accelerates polarization, polarization enables economic nationalism, economic nationalism generates more opportunities for information warfare.

Extreme weather events, state-based armed conflict, and cyber insecurity round out the top concerns for the immediate future.

Long-Term Concerns: The Environment Reasserts Itself

Expand the time horizon to ten years, and the risk landscape transforms. Environmental concerns claim five of the top ten positions, with extreme weather events, biodiversity loss and ecosystem collapse, and critical changes to Earth's systems occupying the top three spots.

This shift reveals something important about human risk perception: we consistently discount slow-moving catastrophes. Biodiversity loss lacks the urgency of trade wars, even though its cascading effects may ultimately prove more consequential. We've evolved to respond to immediate threats; we struggle to mobilize against dangers that unfold across decades.

Notably, societal polarization—ranked third in the short term—drops to ninth in the long-term view. Whether this reflects optimism that current divisions will heal, or simply the statistical reality that other risks seem more severe, remains an open question.

Different Lenses, Different Risks

Perhaps the report's most valuable contribution is its disaggregation of risk perception across demographics and geographies.

Age shapes perception. Respondents under 30 prioritize misinformation, extreme weather, and inequality. Those over 40 consistently rank geoeconomic confrontation as their primary concern. Generational experience matters: those who remember previous periods of great power competition read current signals differently than those encountering these dynamics for the first time.

Geography shapes perception even more dramatically. AI risks that dominate American concerns rank 30th globally. In Brazil, Chile, and much of the world, more immediate concerns—inequality, pollution, resource access—take precedence. This isn't a failure of foresight; it's a reminder that risk is contextual. What threatens your community depends on where your community sits.

Using Signals, Not Consuming Forecasts

Reports like this serve best as prompts for reflection rather than prescriptions for action. The value lies not in accepting these rankings as authoritative, but in using them to surface questions:

• What assumptions am I making about stability that geoeconomic confrontation might disrupt?

• How might misinformation affect my organization, my industry, my community's cohesion?

• Which long-term environmental risks am I discounting because they feel distant?

• Whose risk perceptions am I ignoring because they don't match my own context?

Human beings are, as far as we know, the only species capable of anticipating futures and adjusting present behavior accordingly. That capacity for foresight is a genuine superpower—but only if we use it. Signals become valuable when they prompt better questions. The work isn't to predict what happens next; it's to prepare ourselves for navigating uncertainty with more wisdom than our instincts alone would allow.

Modem Futura explores the intersection of technology, society, and human futures.

Download the full WEF Global Risks Report 2026: [PDF Web Link]

Subscribe and Connect!

Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/4sUwhdG

🎧 Spotify: https://open.spotify.com/episode/0UoLHYJa8KHzbNbP564Qwy?si=h9WD1rE4Q6WTu6wOWlEQhA

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🌐 Website: https://www.modemfutura.com/   

Inherited Power: What Jurassic Park Teaches Us About AI Futures

Jurassic Park, AI, and Why “Inherited Power” Should Make Us Nervous

One of the most enduring insights from science fiction isn’t about robots, dinosaurs, or spaceships — it’s about power. In a recent episode of Modem Futura, we revisited a striking passage from Jurassic Park that feels uncannily relevant to our current moment of AI acceleration.

In the novel, Ian Malcolm warns that scientific power acquired too quickly — without discipline, humility, or deep understanding — is fundamentally dangerous. It’s “inherited wealth,” not earned mastery. Thirty-five years later, that warning lands squarely in the middle of our generative AI era.

Today, AI tools can write code, generate images, summarize research, and mimic expertise in seconds. That’s not inherently bad — in fact, it can be incredibly empowering. But it also creates a dangerous illusion: that capability equals comprehension, and speed equals wisdom. When friction disappears, responsibility often follows.

In the episode, Andrew and I explore why the most important question isn’t whether we should use these tools, but how we use them — and with what mindset. Are we willing to be humble in the face of tools that amplify our reach far faster than our understanding? Are we prepared to ask for receipts, interrogate outputs, and recognize the limits of borrowed intelligence?

From there, we leaned into something equally important: imagination. Through our Futures Improv segment, we explored bizarre but revealing scenarios — humans generating calories from sunlight, a world of post-scarcity socks, radically extended lifespans, lunar independence movements, and even the possibility that alien life might be… profoundly boring.

These playful provocations aren’t escapism. They’re a way of breaking free from “used futures” — recycled assumptions about progress that limit our thinking. Humor, speculation, and creativity allow us to test ideas safely before reality forces our hand.

If there’s one takeaway from this episode, it’s this: the future isn’t just something that happens to us. It’s something we ponder, question, and design together — ideally before the metaphorical dinosaurs escape the park.

🎧 Listen to the full episode of Modem Futura wherever you get your podcasts, and join us as we explore what it really means to be human in an age of powerful machines.

Subscribe and Connect!

Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/3NIBdlt

🎧 Spotify: https://open.spotify.com/episode/32wGw6htnSDyGVc08DAvvQ?si=m8jS08egQyOZjYTic6cROw

📺 YouTube: https://youtu.be/jBBIbNu-XdY

🌐 Website: https://www.modemfutura.com/

Modem Futura Year in Review: What 2025 Taught Us About Being Human

As we step toward 2026, we recorded a “Year in Review” episode of Modem Futura to pause the treadmill, look back, and ask a bigger question: what did this year reveal about the future of being human?

This wasn’t a victory lap. It was a reflection on what resonated, what surprised us, and what it means to build a future-focused show while the future keeps moving.

metrics matter… and they don’t

Yes, growth matters — it helps ideas travel. But podcast analytics are often incomplete and inconsistent, and they rarely capture what impact actually looks like. The most meaningful signals are still human: messages, emails, thoughtful disagreement, and reviews that help someone new discover the show.

“If you want to support the show: subscribing, sharing, and leaving a rating/review are still the most helpful actions.”

— Modem Futura

The themes that defined our year:

AI, beyond the hype: We kept returning to the same tension — generative tools are everywhere, but “AI” isn’t just a feature set. It’s a cultural force that shapes identity, agency, creativity, and values. We try hard to avoid both the hype machine and the doom loop, and instead stay in the messy middle where the most useful questions live.

Education and learning: We lean into what learning actually is (not just schooling), including John Dewey’s idea that humans are wired for inquiry, communication, construction, and expression. When AI arrives in every document and device, what does it do to those impulses — especially for kids?

Technology in the physical world: From autonomous‑vehicle safety systems that quietly drift out of calibration, to EVs and the persistent “flying car” dream, we explore what happens when shiny promises meet real‑world constraints.

Big questions, no apologies: Yes, we go there — simulation hypotheses, black holes, de‑extinction, space travel, and the edges of what science can (and can’t) explain. These episodes aren’t about “being right.” They’re about expanding the space of possible futures we can imagine.

If there’s one takeaway, it’s this: the future isn’t something that happens to us — it’s something we build together.That’s why we keep showing up each week: to create a shared space for curiosity, skepticism, wonder, and responsible imagination.

If you’ve been listening, thank you. If you’re new here, welcome. And if an episode sparked a thought you can’t shake — share it with a colleague, a student, a friend, or your community. As we step into 2026, we’re excited to keep exploring the possible, probable, and preferable futures — with you.