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CHAPTERS
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AI anxiety, moats, and the search for non-obvious opportunities
Shaan describes the conflicting feelings many people have about AI: fear of becoming obsolete and pressure to do something ambitious. He and Sam frame the core question as deciding what to build when it feels like AI can make anything—and how to avoid racing into crowded, low-moat arenas.
- •Shaan worries about being made obsolete and feeling late to a competitive AI race
- •Sam captures the paralysis of choice: "What should I make if I can make anything?"
- •Shaan points to massive value creation in leading AI companies as motivation and intimidation
- •The conversation sets up the need to “skate to where the puck is going” rather than chase current hype
From AI in “bits” to AI in the world of “things”
Shaan lays out his central thesis: AI applied to digital-only outputs (content and many software tools) will be increasingly commoditized. He argues the biggest opportunities are in applying AI to the physical world—what he calls the “world of things.”
- •Shaan says AI for content and many SaaS tools becomes a race to the bottom
- •He argues returns are higher when AI is applied to the physical world
- •He frames this as the next five-year frontier that’s easy to overlook
- •Sam reacts as Shaan points to what’s “around the corner”
Drugs and miracles: AI-driven drug discovery and personal cancer breakthroughs
Shaan highlights drug development and biology as a prime area where AI can change what’s possible. He cites stories of individuals using AI-enabled sequencing and drug matching to treat cancer, and notes major players pushing compute-heavy approaches to drug discovery.
- •Shaan recounts a story of a tech founder using sequencing and AI-assisted drug search to shrink tumors
- •Sam says someone he knows signed up for that service and is doing well
- •Shaan describes drug development as historically slow, expensive, and failure-prone, limiting who can compete
- •He points to big pharma leaning into AI and to efforts aimed at solving major health problems
A personal example: Ben’s improvement and why this moment feels different
Sam and Shaan discuss their friend Ben’s health update and how online communities and AI-focused “nerds” connected him to helpful people. Shaan describes an emotional reaction to Ben’s visible improvement and uses it to emphasize the impact potential of these technologies.
- •Sam says Ben’s update shows meaningful improvement even if he’s not fully out of danger
- •Sam describes how Ben’s audience helped connect him with the right people
- •Shaan says he cried watching the update and urges people to watch it
- •Shaan frames this as a uniquely open “technology window” for high-impact work
Food is technology: CRISPR crops, better yields, and smarter agriculture
Shaan shifts to food and agriculture, arguing that plant biology is becoming an engineering domain. He points to a company using CRISPR to improve fruit traits and broadens the idea to include both better seeds and AI-enabled farm tools.
- •Shaan mentions a company using CRISPR to improve fruit growth, yield, taste, and nutrition
- •Sam compares it to how long it took to develop standout varieties like a popular apple
- •Shaan emphasizes that grocery-store abundance relies on engineered biology and production systems
- •He highlights opportunities from computer vision farm equipment to redesigned seeds and new foods
Warfare: drones, directed-energy stories, and rapid military tech change
Shaan argues modern warfare is shifting away from the classic mental image of tanks and jets toward inexpensive, autonomous systems. Sam adds a story about a raid involving a purported directed-energy or sonic weapon that incapacitated guards, underscoring how sci-fi-like capabilities may already exist.
- •Shaan suggests war is increasingly “drones fighting drones,” with cheap systems doing outsized damage
- •He references defense startups and new approaches across domains (including underwater)
- •Sam recounts reading about a raid where guards allegedly couldn’t move due to a mysterious weapon
- •Shaan shares meeting someone building lasers intended to shoot down drones from long distances
Building homes with robots: factory-made luxury homes and radical cost reduction
Shaan argues housing costs drive stress and that robotics and AI-enabled manufacturing could dramatically reduce construction costs. He describes a company building high-end modular homes in a highly automated factory environment, emphasizing iteration speed and manufacturing discipline.
- •Shaan ties quality of life to lowering cost of living, with housing as the largest expense for many
- •He claims some prefab approaches could make homes dramatically cheaper than typical builds
- •He describes a project producing modular luxury homes in a factory with automated processes
- •He highlights testing like an in-factory earthquake simulator and rapid iteration on prototypes
Manufacturing lessons: from toys and Lego-like precision to iPhone-style home factories
Shaan and Sam discuss why advanced manufacturing capabilities matter and how experience in precise, scaled production can transfer between industries. Shaan uses examples about tight tolerances and simplifying assembly to explain how manufacturing innovation can create durable advantages.
- •Shaan compares the home factory approach to highly automated electronics manufacturing
- •He argues toy manufacturing can translate well because it demands extreme precision at scale
- •Shaan recounts an example of simplifying complex assemblies by making large components as single molds
- •The discussion reinforces the idea that process innovation can create long-lasting competitive edges
Rapid-fire frontier list: new materials, full self-driving everything, oceans, and body hardware
Shaan quickly names additional “world of things” categories without deep dives, emphasizing breadth of opportunity. He describes autonomous machines expanding beyond cars, ocean technology as an emerging area, and hardware integrated with the human body as another major frontier.
- •Shaan says “new materials” feels like near-alchemy and beyond his current understanding
- •He argues self-driving is already real for him and is spreading to forklifts and maintenance machines
- •He mentions machines for maintaining ships, bridges, and other infrastructure
- •He highlights “human body hardware,” including advanced prosthetics controlled by intention
America’s next industrial surge vs. pessimism: resources, culture, and AI uncertainty
Sam outlines why he feels optimistic that the U.S. could see another Industrial-Revolution-like expansion, citing history, resources, and current buildout. Shaan responds with reasons others feel pessimistic—political attitudes toward capitalism, weakened building capacity, and conflicting fears about AI.
- •Sam describes historic American growth tied to resources, transportation, and post-war advantage
- •He argues current data center buildout and entrepreneurial talent could drive another boom
- •Shaan lists pessimistic themes: anti-capitalist sentiment, loss of manufacturing muscle, and AI skepticism
- •They contrast optimism with uncertainty about whether the country can avoid self-inflicted obstacles
“Common sense” politics and why incentives amplify extremes
They discuss political polarization and the absence of leaders who can communicate in plain, non-fear-based terms. Shaan argues media incentives amplify more extreme voices, and both explore how branding like “common sense” can claim the moral high ground.
- •Sam says the issue feels like uncertainty and fear, worsened by polarizing rhetoric
- •Shaan suggests media incentives reward the loudest, most extreme positions
- •Sam argues for reclaiming language around capitalism and rejecting fear-based framing
- •Shaan proposes the appeal of a “common sense” banner and explains why it’s hard to argue against rhetorically
Think like an investor: widening your field of view as a “free agent”
Shaan explains why he shared the framework: many people limit themselves to familiar industries and nearby options. He describes coaching his cousin to evaluate the world like an investor—choosing the best “body of water”—and using exercises to expand horizons.
- •Shaan says people look through a “peephole” of past experience and local options
- •Sam adds the common trap of making only slight variations on what you did before
- •Shaan recommends an exercise: pick a handful of companies you’d invest in to reveal true conviction
- •He emphasizes investors can move toward growth and opportunity rather than staying in one lane
Closing: being ambitious, moving where the puck is going, and “AI in the world of things”
They wrap by reflecting on life stages, ambition, and the value of positioning yourself in the right environment. Shaan reiterates his belief that the next decade’s biggest opportunities will come from AI applied to physical reality, not just digital products.
- •Sam says he wants these outcomes to happen even if he won’t be the one to build them
- •They recall moving to San Francisco as a bet on being in the right “body of water”
- •Shaan argues that even “crumbs” can be meaningful if you position well
- •They briefly joke about the earlier “Internet of Things” hype and end the episode
