Sam Parr | My First Million Summary

1. Key Themes

AI in the World of Things Beats AI in the World of Bits

Shaan's core thesis is that the next five years of opportunity lie in applying AI to physical, biological, and industrial problems, not in software, content, or SaaS. He frames it as skating to where the puck is going: "using AI in the world of um you know, bits, which is basically like digital stuff, I think has very low returns. I think using AI Anybody who's like, 'I'm using AI to make content,' it's a race to the bottom there. I think using AI to make uh make software, sa- SaaS, right? Make tools, I think is, you know, kind of a race to the bottom." 00:02:54 He sums it up later: "I think AI in the world of things is where the puck is going over the next 10 years." 00:38:12

AI-Native Drug Discovery Is Breaking Open a Historically Gated Industry

Drug development has been a game only giants could play, and AI is changing the economics. Shaan: "a drug typically took 10 years and $2 billion to make and had like a 80 or 90% failure rate. It's a pretty tough game. And because of those numbers, only drug companies of a certain size really play that game." 00:04:09 His conclusion: "now is the perfect time to go build a new type of drug company, a new type of health company." 00:04:09 The proof points are personal: a GitLab founder sequenced his own tumor and used AI to find, synthesize, and take drugs that cleared his cancer ("The guy cured his own cancer" 00:03:47), and Sam's friend with cancer signed up for that service and "he's doing great." 00:04:04 Sam adds that their friend Ben, after posting on social media, "had all the nerds, all the AI nerds like reach out to him and he like got hooked up with all the right people." 00:05:20

Food Is Technology: Genetics and Biotech Applied to Crops

The same biotech-plus-AI wave applies to plants. Shaan: "food is technology... like genetically modified food. Um, you know, using CRISPR to change fruit so that it like grows better, higher yield, tastes better, is better for you." 00:07:20 He extends the stack from the seed to the field: "ranging from technology that works the fields. You know, so, new kinds of tractors and, you know, using camera computer vision... to actual seeds of the food, new food." 00:07:41 Sam reinforces it with the Honeycrisp example: "it took 20 years to do it and it and we get it 24 or uh 365 days a year. It's incredible." 00:07:34

Warfare Is Becoming Drones, Autonomy, and Directed Energy

Shaan expects modern conflict to look nothing like the tanks-and-soldiers mental image: "I suspect that that is a bit of a fantasy... what war probably will look like at this point, which is drones fighting drones. It's, you know, unmanned tiny aircrafts that are super cheap to build." 00:09:20 He cites Anduril and a Joe Lonsdale company doing "the navy version of Anduril," and recalls meeting a hacker in an old San Francisco auto body shop: "I'm building lasers that can shoot drones from like extremely high distances away." 00:12:27 Sam adds the reported directed-energy "discombobulator" used in the Venezuela raid, where guards "couldn't move." 00:10:28

Collapsing the Cost of Housing Through Factory Automation

Shaan argues the biggest quality-of-life lever is the cost of living, and housing is its largest component. He gives the baseline: "a nice home in this area, it'll be like $600 to $800 a square foot" 00:13:21 and claims "there are people who are building uh homes like prefab high-end homes that could be done at 20 times cheaper. 20 times." 00:13:21 He believes "we are within 10 years away from there being a kind of night and day difference of the cost to build a home." 00:13:21

Toy-Manufacturing DNA Transfers to Everything Else

Shaan says manufacturing excellence compounds across categories, using Zuru and Elon Musk's Lego admiration as the example: "if you ask Elon who he admires, in terms of manufacturing, he'll say Lego. Because to manufacture at scale with absolute precision a Lego block that's going to perfectly fit into every other Lego block, it can't be off even by like the smallest amount." 00:15:28 His conclusion: "being great at toy manufacturing actually translates really well to manufacturing other things." 00:15:28

The Long Tail of Physical AI: Autonomy for Everything, Oceans, Materials, and the Human Body

Beyond the headline sectors, Shaan lists a broader set of frontiers: "FSD for everything" ("forklifts inside of warehouses, machines that go clean windows at the top of skyscrapers... how do you go get the barnacles off the ship? How do you go, you know, maintain bridges that are not being maintained today?" 00:18:32), OceanTech ("the way that space and SpaceTech has gotten super-hot with SpaceX and others, OceanTech is um you know, right around the corner" 00:18:32), new materials science (people "literally trying to do alchemy" 00:18:32), and "human body hardware" such as Neuralink and Atom Limbs, where "you can put a robotic arm onto your arm that you can use your mind to say, 'Pick that up,' and it'll pick it up." 00:18:32

Think Like an Investor, Not a Worker: Choose the Body of Water

The meta-lesson is about how to choose where to work. Shaan: "the job is to expand your field of vision" 00:34:31 and "Why don't I put kind of my investor hat on and think like an investor of like, where is the best body of water that I should go be in, as Mark Pincus said on our podcast? Like, go find the right body of water. That's far more important than trying to be the best sailor in a shitty body of water." 00:35:14 The exercise: "write down the five most interesting companies... if I gave you, you know, $10 million and you were going to you got to keep all the profits, but you had to invest in these five companies." 00:36:01 He stresses nomadism: "They're more more nomadic than entrepreneurs tend to be or employees tend to be, who like to stay in their industry, stay in their lanes." 00:36:01

America's Industrial Edge: Resources, Compute, and Entrepreneurial Spirit

Sam compares today's AI buildout to the original American industrial boom, arguing America is "uniquely set up to be the petri dish where a lot of these things grow very, very quickly so long as we don't get in our own way." 00:33:52 He grounds this in resource history: "in the 1950s, we were transporting so much iron ore that that was enough to create 50 million cars a year" 00:20:55 and in the present: "if you look at the data center creation uh in America, it's like way beyond uh uh most every other country right now." 00:20:55 Shaan balances this with the bear case: "have we hollowed out our ability to actually build things?" 00:23:52

2. Contrarian Perspectives

Building AI Software and Content Is a Race to the Bottom

In the middle of an AI-software gold rush, Shaan says the digital layer is where returns are lowest. "Anybody who's like, 'I'm using AI to make content,' it's a race to the bottom there. I think using AI to make uh make software, sa- SaaS, right? Make tools, I think is, you know, kind of a race to the bottom. You know, do it if it's just where your heart is, but, to me, that's not where the opportunity is." 00:02:53 The corollary is the obsolescence worry he opened with: "if I just go build this thing, isn't it going to be obsolete in a day, you know? What's the future of software?" 00:01:32

The Best Building Opportunities Are Where You Have No Experience

Conventional wisdom says build on domain expertise. Shaan says the opposite when choosing a new field: "the opportunities are like bigger than anything we've ever seen, but it's all going to be in the new spaces where you don't have a lot of experience, so you don't have a lot of intel. You don't need to have it." 00:36:01 He argues most people fail by staying in their lane: "oh, let me stay in that industry, let me stay in that job, even if that industry is not the one that has a huge tailwind behind you." 00:35:14

The Future of Housing Is Made in a Chinese Factory, Not Poured on Site

The prevailing American story about reshoring and construction focuses on local building. Shaan describes a factory in China outputting homes the way iPhone factories output phones: "They have a factory in China that is literally printing homes... they basically like print a home a day." 00:13:21 The funding is also unorthodox: "These guys raised no money, they put a billion dollars of their own personal capital into funding this thing. Took no external capital and they're just building it in China." 00:15:28 Because they built highly automated factories "for 20 years... in China. They started in the toy business." 00:15:28

Self-Funded, Boring-Origin Founders Are Pursuing Elon-Scale Ambition Unnoticed

The most ambitious projects may not come from venture-backed Silicon Valley startups. Shaan on Zuru: "It's like Elon level of ambition, technical scope, um change the world when it works, type of shit, and it's real. This is not like pipe dream, it's not Silicon Valley where you're like raising money." 00:15:28 And: "Most people have no clue it's even happening." 00:15:28

The Fix for Politics Is Branding, Not Moderation

Shaan proposes that "moderate" is a losing frame and that a successful centrist would hijack an existing party under the label of common sense: "common sense is such a uh such an amazing phrase that lets you take the moral high ground... it, a, implies that everybody else is being a dumbass... who can argue with common sense?" 00:28:43 Rather than a third party that "sounds less than, like third place," he'd "go into one of the parties, but hijack it, and and rename the platform around being the common sense candidate. And then, just constantly beat the drum of common sense." 00:29:28

3. Companies Identified

Anthropic

AI lab behind Claude. Mentioned as a benchmark for scale and speed of value creation. Shaan: "it's basically the best business in the history of capitalism so far, right? Like it they've created $2 trillion of value in like 5 years." 00:00:49 Sam: "amongst the seven co-founders... they have basically created collectively, the seven founders, $96 million of net worth every single day since founding." 00:01:08

OpenAI

AI lab behind ChatGPT. Named as one of the model companies that, five years ago, was the obvious-in-hindsight place to work: "5 years ago, the thing to be doing was to go work at one of these model companies: OpenAI, Anthropic." 00:02:00

Runway

AI video generation company. Cited as an example of an earlier "around the corner" bet: "using AI to create video, like Runway; images, like Midjourney; text, like ChatGPT. You know, those were the things to go build." 00:02:00

Midjourney

AI image-generation company, same example as above. 00:02:00

Eli Lilly

Pharmaceutical giant leaning hard into AI compute. Shaan: "I think what Eli Lilly's doing is awesome... they're buying compute like they're like they're one of the tech companies or like, you know, the way Citadel is spinning up its own data centers or Jane Street... they're applying AI in the world of drugs." 00:04:09

Isomorphic Labs

Google/DeepMind-affiliated AI drug discovery company. Shaan: "Google has this company called Isomorphic that Demis, the the kind of founder of DeepMind who was running AI, he's now just kind of like all in on Isomorphic, which is basically, great, how do we cure cancer?" 00:04:09

Citadel and Jane Street

Financial firms noted as comparisons for building their own data centers to apply AI to finance. 00:04:09

GitLab (founder's cancer-cure story and service)

Referenced for its founder, who used AI-enabled tooling to sequence his tumor and develop drugs. Sam adds that he offers a service people can sign up for: "He has a service that you can sign up for. My friend with cancer signed up for it and he's doing great." 00:04:04

Nitroduck (as transcribed; a YC company)

A Y Combinator company that recently emerged from stealth, doing CRISPR-based crop genetics. Shaan: "they're doing like genetically modified food. Um, you know, using CRISPR to change fruit so that it like grows better, higher yield, tastes better, is better for you." 00:07:20

Y Combinator

The accelerator that backed the food-genetics company. 00:07:09

Anduril

Defense-technology company. Shaan: "Anduril, obviously, is doing really interesting things there." 00:09:20

Joe Lonsdale's Underwater Defense Company

A company referenced as "the navy version of Anduril," working on underwater systems. 00:10:20

Zuru (Zuru Tech)

Toy and manufacturing company run by Nick Mowbray and his brother, now building automated home-manufacturing. Shaan: "They have a factory in China that is literally printing homes." 00:13:21 On their ambition: "It's like Elon level of ambition, technical scope." 00:15:28 The funding: "they put a billion dollars of their own personal capital into funding this thing." 00:15:28

Lego

Cited as the manufacturing-precision benchmark Elon admires. 00:15:21

Tesla

Used as an example of manufacturing innovation (single-mold underbody) and as Shaan's daily self-driving experience: "I get in my Tesla every day, I push the button, it drives 90-something 95% of all the miles." 00:18:32

SpaceX

Used as the analogy for how OceanTech could become hot: "the way that space and SpaceTech has gotten super-hot with SpaceX and others, OceanTech is um you know, right around the corner." 00:18:32

Neuralink

Named under "human body hardware." 00:18:32

Atom Limbs

Startup built by Shaan's friend Tyler, working on advanced robotic prosthetics. Shaan: "the technology is actually out there now where you can put a robotic arm onto your arm that you can use your mind to say, 'Pick that up,' and it'll pick it up." 00:18:32

Zynga and Facebook

Referenced via Mark Pincus's career as evidence for choosing the right body of water: "social media was the the right body of water to be in back in the early 2000s... ended up in the building Zynga, and invested in Facebook and like made a bunch of money doing that." 00:35:14

Starter Story

Business-idea research publisher (sponsor read). Sam: "they put together a list of 90 business idea, each one it's vetted. They're all real problems, real gaps in the market." 00:06:36

Hampton

Sam's community for entrepreneurs doing at least $3M in revenue. Sam: "We have the founders of DoorDash, of Figure, of BlueChew." 00:26:04

HubSpot

Marketing and CRM platform (ad read), promoting its Breeze Assistant for content creation. 00:12:54

Content is Profit (podcast)

New podcast hosted by Luis and Fonzi Camejo, who built content frameworks for Red Bull and Orange Theory Fitness. 00:39:43

Red Bull and Orange Theory Fitness

Brands the Content is Profit hosts previously built content teams for. 00:39:43

O'Reilly Media

Publisher that championed the "Internet of Things" term. Sam: "O'Reilly Media was like, 'That's going to be the thing, the Internet of Things.'" 00:38:46

DoorDash, Figure, BlueChew

Hampton member companies named as examples. 00:26:04

4. People Identified

Demis Hassabis

Founder of DeepMind, now focused on Isomorphic Labs. Shaan: "Demis, the the kind of founder of DeepMind who was running AI, he's now just kind of like all in on Isomorphic, which is basically, great, how do we cure cancer?" 00:04:09

The GitLab Founder

Sequenced his own tumor with AI-enabled methods, found and synthesized candidate drugs, and shrank his tumors. Shaan: "The guy cured his own cancer." 00:03:47

Ben (former MFM producer)

Friend of the hosts who posted a health update after leveraging the AI and biotech community. Sam: "he had all the nerds, all the AI nerds like reach out to him and he like got hooked up with all the right people." 00:05:20 Shaan: "I opened up my phone on Saturday morning, watched that thing, and basically cried." 00:05:50

David Friedberg

Entrepreneur working on agricultural genetics. Shaan: "I think David Friedberg is probably the most well-known entrepreneur that's doing something here. He's trying to make like, you know, potatoes and corn, like new new versions of of these foods that are better seeds, better crops." 00:07:41

Joe Lonsdale

Founder of an underwater defense company. Shaan: "Joe Lonsdale has a company that's uh, you know, kind of a underwater, you know, sort of navy uh the navy version of Anduril." 00:09:20

Nick Mowbray (Zuru)

Co-founder of Zuru, previously a podcast guest. Shaan: "our friend, Nick Mowbray, who was on the podcast who um him and his brother are like, you know, two of the craziest entrepreneurs in the world." 00:13:21

Elon Musk

Cited for manufacturing insight: admires Lego, and famously used a Hot Wheels car to argue for single-mold underbodies. Shaan: "he had a a Hot Wheels car... they just inject the whole bottom thing as one mold, it's not 200 pieces, it's one mold." 00:15:28

Tyler (Atom Limbs)

Shaan's friend who has worked for years on robotic prosthetics at Atom Limbs. 00:18:32

Will O'Brien

Past podcast guest who discussed OceanTech. 00:18:32

Mark Pincus

Zynga founder and Facebook investor, quoted for the "right body of water" idea. Shaan: "Go find the right body of water. That's far more important than trying to be the best sailor in a shitty body of water." 00:35:14

Charlie Munger

Referenced for the "lollapalooza effect" explaining American outlier success: "anytime you have this extreme outlier, it's usually a a rare combination of seven or eight tailwinds at once." 00:31:57

John D. Rockefeller and Andrew Carnegie

Referenced by Sam for their roles in oil and steel that powered American industrial growth: "Rockefeller discovered oil and then soon after, Carnegie uh started creating um steel using iron ore." 00:20:55

Donald Trump

Mentioned for the "discombobulator" description of the directed-energy weapon and as a political example of the "America First" moral-high-ground framing. 00:11:21 00:29:14

Zohran Mamdani

Cited by Sam as a charismatic politician whose free-preschool policy "doesn't sound so bad." 00:29:59

Alexandria Ocasio-Cortez (AOC)

Named as one polarizing pole in American politics. 00:27:05

Michael Scott

Fictional source of the "skate to where the puck is going" quote as presented on the slide. 00:02:00

Luis and Fonzi Camejo

Hosts of the Content is Profit podcast. 00:39:43

Shaan's cousin

A smart free agent after selling his company, used as a case study in expanding one's field of vision. Shaan: "I told my cousin... 'write down the five most interesting companies.'" 00:36:01

5. Operating Insights

Run the "$10 Million, Five Companies" Exercise Before Choosing Your Next Move

A concrete tool for career or company selection: Shaan told his cousin to "write down the five most interesting things that are uh like most interesting companies you've seen that you think like, if I gave you, you know, $10 million and you were going to you got to keep all the profits, but you had to invest in these five companies, which five companies would you pick?" 00:36:01 The exercise flips you from worker mindset into investor mindset, and it was "eye-opening" for his cousin. 00:36:01

Use a Tight Prototype-to-Test Loop in Physical Products

Zuru's iteration discipline is a template for hardware operators: "they're iterating on these homes daily." 00:15:28 They built an earthquake simulator in the factory to run each home through major historical earthquakes, and house the prototypes outside the factory where workers live in them: "there's like a 100 homes in a row where the workers just go live uh as they're building their like iterating over their prototypes every single day." 00:15:28 Your own team using the product daily collapses the feedback loop.

Simplify Radically by Challenging Part Counts

The Hot Wheels anecdote is a first-principles manufacturing tactic: faced with assembly-line problems, Elon asked, "Well, why don't we do it like this?... they just inject the whole bottom thing as one mold, it's not 200 pieces, it's one mold." 00:15:28 Owning the custom machines that enable the simplification also created a lead: "they're the only ones that did it for like 7 years because they owned all the machines." 00:15:28

Treat Adjacent Competencies as a Wedge into New Industries

Zuru's toy-manufacturing capability, built over 20 years, became the wedge into housing. When evaluating a new domain, ask what hard-won operational capability you already own that transfers: "being great at toy manufacturing actually translates really well to manufacturing other things." 00:15:28

Sample Many Domains Shallowly, Then Dig Where the Gut Pulls

Shaan models a low-cost discovery process: "it's not like I went and deeply researched any of these, but I know enough to know that there's a lot of opportunity in each one of these, and you just have to get then go start digging and figure out what's the exact angle." 00:36:01 The point is breadth first, then depth where the signal is strong.

6. Overlooked Insights

Individuals Are Becoming Their Own Drug Developers, and Productized Services Are Emerging

Said in passing: the GitLab founder "has a service that you can sign up for. My friend with cancer signed up for it and he's doing great." 00:04:04 Alongside Shaan's note that "there's like seven other people that are doing the same thing" 00:04:09, this suggests a new category: personalized, patient-driven drug discovery as a service, with survivors converting a personal protocol into a repeatable product. The incumbent model (10 years, $2 billion, 80-90% failure) is being bypassed at the individual level, and the distribution channel appears to be social-media founders and their AI-literate followers, as Ben's experience shows.

A Frontier Hardware Founder Can Be Found Working Alone at 11 p.m. in a Converted Auto Body Shop

Buried in an anecdote, Shaan describes how the real frontier looks: "if you go to San Francisco, you just sort of walk around, you'll just meet like random hackers that are doing very interesting things... an old auto body shop that my friend had turned into kind of like a hardware co-working space... It was 11:00 p.m. It's one guy in there... 'I'm building lasers that can shoot drones from like extremely high distances away.'" 00:12:00 The overlooked implication: the physical-AI and defense-tech talent pool is small, scrappy, and concentrated in informal hardware co-working spaces funded by a handful of investors, which means proximity (the "right body of water" thesis) is both the sourcing edge for investors and the recruiting edge for founders.