Big Questions with Cal Fussman

Cal opens this deeply personal episode of Big Questions with a flood of remarkable medical breakthroughs. 3D-printed windpipes. A pancreatic cancer drug that doubles survival rates. Nanotechnology clearing toxic proteins from the body. And he explains why he's sharing them: to balance the grief of losing his friend Sally, a highly-ranked senior tennis player taken too soon by gallbladder cancer. Out of that grief, Cal finds promise. From a man who rode a bike for 24 straight hours 25 years ago who's gone on to raise $31 million for cancer patients. To a vision of the future where technology doesn't kill jobs — it creates them. This episode is exactly what Cal is promising as his podcast evolves toward the Future of Work. Sunshine. Even through difficult times. It'll be a Central Park for the soul. See you every Tuesday.

One of the richest men in the world quietly became the largest private owner of farmland in America. Why? Is Bill Gates retreating from technology? Or is he making the most important AI bet of all? In this episode, Cal reads from an article that reframes everything. Gates' farmland strategy isn't nostalgia. It's a blueprint for the next economy. AI will build the digital world for free. But every digital system still depends on something finite. Land. If you want to understand where the 21st-century fortunes will be made — and what that means for your future — this episode is for you.

Fifteen of the 66 Super Bowl ads this year featured artificial intelligence. Then Mike Tyson appeared on screen. . .and ate an apple. No algorithms. No spectacle. Just a former heavyweight champion telling America to stop consuming what's destroying it. In a culture addicted to speed, processed food, and machine-enhanced everything, Tyson's message was about discipline. Bringing up a Big Question: What if the most disruptive force in 2026 isn't artificial intelligence? What if it's human restraint? Cal looks at why the most impactful ad during the Super Bowl was the simplest one.

Larry King used to tell me: "Nobody loves a hurricane like the weatherman." I learned exactly what he meant during the last winter storm — when the forecast was certain… and reality had other plans. It's why I've stopped trusting forecasts the way I trust people.

A high school student named Matteo Paz uses old NASA data and new AI to find 1.5 million objects never noticed before in space (including planets in other solar systems). AI can now predict 130 diseases (including heart ailments, kidney failure and strokes) based on studying one night of sleep. And a school called Alpha uses only AI tutors, teaches core academics for only two hours a day and achieves top scores. Don't be late for the future.

Imagine a mind that can solve a Rubik's Cube in 17 seconds. A mind that contributed to the development of OpenAI. A mind that directed AI for Elon Musk at Tesla. A mind named one of Time Magazine's Top 100 in artificial intelligence. Now imagine that same mind encountering recent, almost "alien" advances in programming—so startling they prompted a public admission: "I have never felt so behind." If someone like that can't keep up, what does it mean for the rest of us? We're entering a world we may not soon recognize. For Cal, that realization leads to a simple conclusion: This New Year isn't about racing machines—it's about reclaiming what they can't replace.

There are those believe artificial intelligence will cure cancer, reverse global warming, and unlock human potential. There are others who believe it will end everything we know. For the first time in history, both sides may be right. We are living inside the most consequential argument humanity has ever had — and the clock is ticking.

The future may not be hiding in Silicon Valley. It could be hidden in your childhood. When a bright young grad sits down at Cal's Thanksgiving table worried about AI layoffs and disappearing careers, Cal offers an unexpected roadmap: Don't try to predict the future . . . remember it. Some of the greatest innovators didn't choose their path — their childhood chose it for them. In this episode, Cal shows how a single moment from your early life can reveal where you're meant to go next in an AI-shaken world. If you're wondering what job will survive the robots, why not start with the kid you used to be, then project forward.