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Invest Like the Best

Tobi Lütke - Building Islands of Innovation - [Invest Like the Best, EP.394]

22 Oct 2024 · 1h 7m · Tobi Lütke, Patrick O'Shaughnessy · 25 quoted facts

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In brief

Tobi Lütke argues that the best companies behave like islands rather than part of the mainstream. Founders inject energy, which he calls being exothermic, into organizations that would otherwise settle at room temperature. Because founders can rebuild from first principles, they can change direction fast. Shopify is built for entrepreneurs, and AI should help many more people start businesses.

The tension runs between difference and pressure to conform. Lütke admits Shopify got swept up by the mainland during the zero-interest-rate years, then re-established its sovereignty. He ties this to AI, Wall Street pressure to monetize consumers, and trust inside the company. His answer is to stay true to first principles, protect hot people and build products with care.

Key insights

  1. Founders protect organizational heat from political cooling

    Lütke says companies drift to room temperature because people conserve energy and move heat-generating people away. Founders carry legitimacy that a plan or a custodian CEO lacks, so they can sustain intensity and change course.

  2. Saturating the sponge makes change management easier

    Lütke argues people can only mind change up to a saturation point, so bundling all changes into one go makes later changes essentially free. He applied this to the Shopify fulfillment network pivot.

  3. Agent teams worked better in a simulated 3D office

    His talk-writing agents, with roles such as archivist, linearizer and project manager, did better once placed in a 3D space where they moved around and met randomly. He calls it his Terrarium.

  4. Innovation comes from islands, not the mainstream

    He compares genetic islands to memetic ones, citing Ruby and Rails as open-source islands that give gifts. Shopify lost some separation in the zero-interest-rate era and says he has since re-established it.

  5. Trust comes from valuing truth over consensus

    Lütke says trust grows fastest when people disagree and are right, or right by what they know. A culture that rewards first-principles correctness, rather than the majority opinion, lets people step out of the org chart.

Questions

What does Tobi Lütke mean by 'exothermic' people?

He means people who inject energy into an organization, being dissatisfied with the status quo and pushing things to move faster. He says companies tend toward 'room temperature' unless such people are protected.

Why does Lütke think founder-led companies can change course faster?

He says a founder's legitimacy comes from having built the company, so they can re-derive decisions from first principles. A managerial CEO gets legitimacy from a plan, so changing direction requires building consensus first.

What was the Terrarium experiment with AI agents?

Lütke gave AI agents roles like archivist, linearizer and project manager to produce a talk. When he placed them in a 3D office where they moved around, the results got much better.

Will AI replace white-collar jobs, according to Lütke?

He says no, not wholesale; he thinks AI will replace the toilsome parts of work. People will instead spend more time on judgment and taste, and results will vary by how well people learn to direct AI like an instrument.

Why doesn't Shopify try to monetize consumers more, like a Prime membership?

Lütke says treating customers as a crop to be harvested works only briefly and is not sustainable. He prefers earning money where Shopify adds real value for partners, and says revenue growth follows.

Facts

Stated by the speakers. Each quote matches the transcript, which shows what was said, not that it is true.

Lütke said Shopify's fulfillment network was a pivot decided in part because of the arrival of AI.

“We were in fairly stable times. Things weren't changing so much. And building for the minimum network was super valuable.”

0:23:50 · Tobi Lütke · Fulfillment network

Lütke said that after he cancelled meetings, average meeting load fell from five and a half hours to three and a half hours.

“Meeting load goes from people average five and a half hours to three and a half hours for the next year”

0:15:31 · Tobi Lütke · Meetings

Lütke said Shopify went public in 2015 at a valuation of about a billion and a half dollars.

“You might remember, we went public very early, billion and half valuation in 2015.”

0:28:24 · Tobi Lütke · Shopify IPO · 2015

Lütke said Shopify is built on the Ruby programming language, which originated in Japan.

“Shopify is based on a programming language called Ruby, which hails from Japan.”

0:30:29 · Tobi Lütke · Ruby

Lütke said the Ruby language optimizes for programmer happiness.

“Ruby optimizes for programmer happiness.”

0:30:29 · Tobi Lütke · Ruby

Lütke said Yukihiro Matsumoto started Ruby thirty-one years before this conversation.

“that's a decision that Mister Matsumoto made thirty one years ago when he started this language”

0:30:29 · Tobi Lütke · Ruby

Lütke said David Heinemeier Hansen makes the decisions for Ruby on Rails, the web framework built on Ruby.

“And David Hanahan Hansen makes all the decisions.”

0:31:39 · Tobi Lütke · Ruby on Rails

Lütke said he controls about 40 percent of the votes at Shopify.

“I vote 40% of the thing, so it's not the traditional share company in that way”

1:02:51 · Tobi Lütke · Voting control

Lütke said Shopify has historically been operationally efficient and kept most money it raised from financing rounds in the bank at its IPO.

“Shopify is just a company that makes every dollar count.”

0:28:37 · Tobi Lütke · Capital efficiency · 2015

Lütke said zero-interest-rate periods turned Shopify's frugal characteristics into a liability because competitors spent freely.

“I think the zero interest rate periods really they made all these characteristics of the business basically a liability”

0:28:37 · Tobi Lütke · Zero interest rates

Lütke said he worked closely with his CFO Jeff when Shopify went public nine years before the conversation.

“My CFO, Jeff, is someone I've worked with intensely nine years ago when we took the company public.”

0:25:55 · Tobi Lütke · Shopify leadership

Lütke said he thinks Shopify could have survived a ten-year boom cycle intact but was swept up in the later years of zero interest rates.

“I think I could have survived ten years of a boom cycle intact.”

0:36:01 · Tobi Lütke · Boom cycle

Lütke retold a story about a logo designer who drew on a napkin to argue that AI amplifies honed skills.

“I started forty years ago when I honed the skills.”

0:11:51 · Tobi Lütke · AI skills

Lütke said Shopify began as software he built for himself because he did not like the tools available.

“Shopify is an island from the beginning, and is my life work.”

0:35:17 · Tobi Lütke · Shopify origins

Lütke said Shopify is often the cheapest software in a merchant's stack, with some paying ten times more for their CRM.

“Very often, Shopify is the cheapest software people have in their entire stack.”

0:39:27 · Tobi Lütke · Pricing

Lütke said he was in his twentieth year at Shopify at the time of the recording.

“I'm year twenty now in Shopify.”

0:37:40 · Tobi Lütke · Tenure

Lütke used a team of AI agents with personas to produce a talk for a company summit, then revealed it was AI-generated.

“I saw the talk that you gave, or I guess that the AI gave”

0:06:56 · Tobi Lütke · AI agents

Lütke said a Shopify colleague built a 3D engine during COVID, which became the basis for his Terrarium environment.

“he built a three D engine where everyone can hang out and do meetings while doing small activities.”

0:10:12 · Tobi Lütke · Terrarium · 2020

Lütke said he uses Meta Ray-Ban glasses for conversations with AI.

“I have conversations with my Meta Ray bands right now.”

0:53:55 · Tobi Lütke · Wearables

Lütke said that even if GPT-4 were frozen as it was before o1, roughly a trillion dollars of industry value could be extracted over ten years.

“then I think there's probably $10 1 trillion of value for industry that can be pulled out of just that for over the next ten years.”

0:57:19 · Tobi Lütke · AI value

Lütke said the most important moment in technology is when something moves from impossible to very hard, when builders converge.

“The most magical moment in the world of technology is when something goes from being impossible to being just very hard.”

0:06:56 · Tobi Lütke · Technology adoption

Lütke credited Meta's open-source AI models as an island-enabling gift, and said Anthropic's models have a different tone from OpenAI's.

“Meta with its open source models and giving us incredible gifts in conformity to the open source ideals”

0:32:55 · Tobi Lütke · Open-source AI

Lütke described Shopify's product philosophy as making the important stuff super easy and everything else possible.

“my philosophy is humans are absolutely awesome”

0:48:22 · Tobi Lütke · Product philosophy

Lütke said Shopify serves both people starting out in their lunch break and billion-dollar businesses that began on the platform.

“The billion dollar business on Shopify started on Shopify.”

0:50:26 · Tobi Lütke · Merchants

Lütke said he has a founder Slack channel of founders who joined Shopify through acquisitions, and he turned to them during COVID executive turnover.

“people who over the years brought into Shopify through talent acquisitions and so on.”

0:17:35 · Tobi Lütke · Executive turnover · 2020

Chapters

  1. 0:07:45Playing with new AI models and the agent talk experiment

    Lütke explains how he tests new models with evals and describes building a team of AI personas to write a talk. It shows how he thinks about AI as a collaborator.

    “giving AIs personas and then having them argue a position”
  2. 0:12:13The Terrarium and AI as an instrument

    Putting agents in a 3D environment improved results, and Lütke frames AI as an instrument that rewards skill rather than a replacement for workers.

    “I've come to think of a terrarium as not a tool, but actually as an instrument.”
  3. 0:15:56Founder mode and organizational temperature

    Lütke explains why founders carry legitimacy that plans cannot, and why exothermic people keep companies from settling at room temperature.

    “I think companies run at room temperature because that's their entropic equilibrium of temperature.”
  4. 0:24:15Fulfillment pivot and the saturated sponge

    The Shopify fulfillment network change illustrates how founders replay history with new information and bundle change in one go.

    “I believe in the saturated sponge school of change management”
  5. 0:29:33Islands, Ruby and resisting the mainstream

    Lütke argues innovation comes from islands, using Ruby and Rails as examples, and admits Shopify was swept up in the zero-interest-rate era.

    “innovation comes from islands. Difference comes from islands.”
  6. 0:39:06Wall Street pressure and the glory of entrepreneurship

    He rejects treating customers as a crop and explains why Shopify serves entrepreneurs, with the pirate poker set example.

    “customers by a company stop being treated as a customer and are now treated as a crop”
  7. 0:52:59The future of computing and interfaces

    Lütke predicts fluid, AI-mediated interaction layered on top of existing windows and apps, with agents working together on both sides of shopping.

    “I 100% agree that this is what's in store.”
  8. 0:58:49Trust, culture and the investor pitch

    He explains how truth-seeking builds trust at scale and what he wants shareholders to understand about Shopify's long-term value.

    “Work with people deserving of trust and who repeatedly show that they come through”

Transcript

0:01:44
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0:03:28
Tobi Lütke

Like The Best. This show is an open ended exploration of markets, ideas, stories, and strategies that will help you better invest both your time and your money. Invest Like The Best is part of the Colossus family of podcasts, and you can access all our podcasts, including edited transcripts, show notes, and other resources to keep learning at JoinColossus dot com. Patrick O'Shaughnessy is the CEO of Positive Sum. All opinions expressed by Patrick and podcast guests are solely their own opinions and do not reflect the opinion of Positive Sum.

0:03:37

This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions. Clients of Positive Sum may maintain positions in the securities discussed in this podcast. To learn more, visit PSUM dot VC. My guest today is Tobi Lütke, the co founder and CEO of Shopify. I've spoken to Tobi on this podcast twice before, first in 2020 and then again in 2022. Needless to say, a lot has changed, both about the world and about Shopify since we last spoke, and we start by talking about the biggest change of all, A I.

0:03:47

But I'll remember this conversation for the next set of ideas that we discuss. Tobi's very unique take on the very popular concept of founder mode, raising the temperature of an organization and the importance of building on an island that's distinct from the mainstream. Tobi embodies the concept of life's work that I believe so much in, and this episode is a shining example of it. Tobi, along with nine other leaders we believe are doing their life's work, will also be featured in the first issue of an upcoming print publication we've been working on.

0:03:56

If you're interested in hearing first when pre orders go on sale, head to join colossus dot com slash print. For now, please enjoy this great conversation with Tobi Lütke. Tobi, we're on our every two year cadence. I'm so excited to see you again. This is gonna be so much fun. The perfect amount of time. Enough has happened in the world, and in this case, a lot has happened in the world, not just in Shopify's world, but also just in the world of technology writ large.

0:04:04

I don't know how I can possibly not start by asking you about how you are processing what is going on. Two and a half year pace we have. The great thing is if we ever end up in one of those phases and we decide that well, nothing much happened, or we did not much like what happened in the last two and a half years. All we need to do is wait for the next one, and clearly it's going to be a new word again at the current rate.

0:04:10

I'm not going to say anything, I think terribly different from what a lot of people say. Very humbled by just getting to be so lucky to be part of an industry that is constantly has all these phenomenal innovations that allow us to just have to rederive everything. And like, I think that's this was like the internet, 2000s, web two, mobile, over the next ten years. And now we get to reinvent everything on top of AIs will touch everything we do, everything we do in technology industry for sure.

0:04:19

Much of what happens in the world is going to be augmented and computers have gotten capabilities that are just unbelievably valuable now. So this has incredible implications for how to build companies. It has incredible implications for how to build products. And what is software? I don't know. There's clearly more questions right now than answers. I think the map is foggy again, which I think is always much more fun to be a builder in times where the map is foggy and everyone has their own destination.

0:04:35

I am trying to make more entrepreneurs. I'm building e commerce software and I'm responsible for millions of small businesses. I want them to thrive in this time, so that's a great task to get to think about every day. So the destination is clear, where a company is here is totally aligned, everyone's pointing in the same direction, and the path is unclear. The path is nebulous and also the times for creativity, insight, research, maybe even helping to establish some of these patterns.

0:04:51

I don't know. Super fun. I'm curious when something new like this comes out, like oh one, I saw Noam Brown speak this week. And it's incredible how convincing he is that this new inference time version of like scaling laws, like another thing that we're going to stack on the pre training scaling laws. And that if you just give this thing more time to think, it can conduct yet more magic. When something like this comes out as a technologist that loves this stuff, how do you personally play with it to see what it's capable of?

0:04:59

Because I think so many people are reading the headlines, but then don't go play with the thing, which is the only way to figure it out. So I'm curious how you do that. Usually the second it gets announced, I'm like in some WhatsApp chat with someone saying, hey, they need them in my account. So that's step number one. Lucky that I've earned the right by sending good feedback to everyone, but I usually get the privilege, the beta flex.

0:05:50

So then I don't think I'm going to go to bed that night, like it's just too interesting. It's just I literally cannot tell my brain to not. There's nothing that exists. I almost have to schedule around these things. Maybe as a leader of an organization, I've learned that one of the best things to do, especially with highly from us, younger engineers, leaders, is give him a reputation to live up to. And that's maybe slightly pushed from their current set of abilities and then they race to vocation.

0:06:14

I have a lot of these scenarios that didn't work with current models. I turn them usually into something called evals. Just so every time I get a new model, I run it against the evals of stuff that I couldn't get them to do before and see if anything changes. And then I calibrate from there. And then whatever is the new capabilities, I usually follow it to try to figure out where I'm running into issues or like just using them.

0:06:34

There's a kinesthetic learning aspect, which I think is maybe it's not universal, but it's the way I learn. And just playing with that. I never find it to be very hard to come up with some random toy that would now be possible. But once you make this assumption that something would be possible now, given this new development, and then you test it, it doesn't matter if it works. Your world model needs to update. You need to incorporate what is now possible.

0:06:56

The most magical moment in the world of technology is when something goes from being impossible to being just very hard. That is the moment where all of the builders need to really converge on everything. That's where you get to. They often like going to these incredibly path dependent. So this is where being first matters because you establish the norms. I saw the talk that you gave, or I guess that the AI gave, and you were the medium through which the talk came into your team.

0:07:08

Say a little bit more about that experiment and the implications of what it made you wonder about. Because I clicked on the link, I knew what to expect and what was coming. But had I not, it would have been pretty convincing that that was just the talk that you gave. And that it was really tight and crisp and felt very unique, felt very human, felt very specific to you, not some generic chat GPT answer or something.

0:07:45

So what was that experiment? What did you do and what were the lessons from it? Let me set the scene a bit because we do these summits. So here I sat down and just said, okay, cool. I have a conundrum. I have time here on my hands, but I set time aside to give a talk, but I want to teach something, but rather play with AI. So how can I combine these things? I came across these papers, which they're all making the case is that giving AIs personas and then having them argue a position and then even putting them into a chat with each other leads to just delightfully different outcomes than if you just prompt.

0:08:12

Because they can question each other and given that you've given them different tasks, they can then argue against the current approach, have them collaborate on something. This has been done in the medical space, starting with symptoms, getting towards a diagnosis, not by just prompting it, here's the symptoms, but rather having saying, here's a bunch of specialists and someone at triage. You give the symptoms to them, they decide, okay, well, you should ask with this kind of doctor, then this kind of doctor is prompted to, like, wanting a second opinion potentially and collaborate for multiple turns to get a diagnosis.

0:08:42

And they found that this leads to better results. So I said, okay, I can probably do this with a talk. And so honestly, this just worked incredibly well. And these different personas were not different specialists, but rather I had an archivist who had access to all my notes and all my prior talks. I quickly realized that I needed a linearizer in there, so someone who understands the structure of a talk. And then there's others, the slides need to be designed and so on.

0:09:05

So you have a little team. It's actually not terribly different from a team would look like that you put together for giving a talk in real life. So instead of doing this with people, I did this with AI. It's very collaborated. Most important insight was I really needed someone representing me in this, like a project manager who knew what I wanted. I obviously had to prompt it, but not as a text, but rather as a job for someone to hold the other ones accountable to actually progress towards the goal.

0:09:31

So this was actually absolutely a fascinating thing. They put a very good talk together, took ten, fifteen minutes. And it was largely a riff on a talk I've given before, but they made their own decisions. They said a motivational quote needed to be inserted, and they found one for my notes. They found a quotes file and like actually found one, which I thought was actually excellently picked. So like there was a lot of interesting emergent properties of this.

0:09:53

So the talk I gave was then that gave this, and then I told everyone that actually this was AI generated, wasn't my talk, and then my actual talk was how I built the system that put the talk together. And I think that made it really fun for me, that was made it informative for everyone, and I think it was off relevancy. So learnings variable. At some point you can't just give a talk, you want to show people how it works.

0:10:12

So I sent a message to someone I collaborate a lot at the company that I work on, who during COVID, he built a three D engine where everyone can hang out and do meetings while doing small activities. So I'm like, hey, can you just load my agent into this thing and just have us play out visually? So we did that, and we built a little office three D environment, which just made it visually much more appealing.

0:10:31

But here's the crazy thing. Once we ran it for that, actually, the results ended up being vastly better. And this is a big learning. Because just the fact that the agents were now in a mock embedded three D space and the combination of who was in the room with who just kept changing. We told them they had to move themselves around, they could make a decision to go to water coolers, these kind of things. And it changed the nature.

0:10:51

And they had this happy little accidents of the slide designer talking with a project manager independently, while the others were doing something else. Even that contributed to the quality. So all this to say, this was really fun, but also the three D environment thing meant as a toy, but actually, I think ended up being rather the discovery here. I can see people actually really doing work, complex coordinated work in the future in this way. Does it feel like in a couple years we will have this computer mediated visual environment with characters in it?

0:11:11

And that as we engage with that, that world will eat all entry level white collar work. That I will just go into my little custom room with my agents and assign it tasks and have it back in five minutes instead of five days. And that if I'm thinking about any low level work like that, it's just gone. I don't know. I remember the probably wrong story about there's actually many versions of a story of like a logo designer just drawing something on a napkin of a lot of value and someone saying, hey, how much money do you want?

0:11:51

Here's thousands of dollars. And it's like, you just drew this. No, I started forty years ago when I honed the skills. I think a lot of things in the world you can do them very, very quickly now due to your own abilities that you've studied and honed and also to a tool becoming very good. And I think people should not underestimate this. I think AI is a tool. I've named all this my Terrarium. This three D engine where agents run around.

0:12:13

Check it out on my Twitter if you're hearing this just because it's pinned post when we are recording this. I'll keep it so easy to find because I just visually chose better. And I've come to think of a terrarium as not a tool, but actually as an instrument. If you send the wrong instruction in, it goes totally off the rails, just like if you pick up a flute and hit the wrong note. But I know how to play it, I've learned it, and I know how to instruct it, and I know which agents to put into it for results.

0:12:37

And I think this is a good way of thinking about it too. I think people will have themselves put together a support structure. And I think different people will get very, very different results out of the same systems. I don't think they will replace the white collar jobs. I think they will definitely replace the crappy parts, the toilsome tasks that we don't want to do anyway. But I think it actually will allow people to just spend a lot more net time at their work using untangibles like judgment, taste.

0:13:02

And I think that's actually really good because, like creativity, they are technologically augmentable, but truly unique things that people do. And I think this is the way it's going to play out. Another thing that's happened since we last talked that's gotten the technology world's attention is this notion of founder mode. And I haven't talked to many people about this, mostly because the question seems kind of boring. But I have a specific version of the question for you.

0:13:36

I'm curious how your whole business, not just you, but your whole team and your whole business responded to that notion, which hit the internet like a wildfire. And by the way, what an incredible front row seat we are getting there for the power of labeling something that was in the air. I don't think it's terribly well defined, but at least it's a category label. Let's talk about the category of what makes founder run companies different from other companies.

0:13:49

I think this is super valuable because there's a intensity. They cease to be founders, or it ceases to be involved in a company if they can't muster the passion for the product, for the system, for the team, and so on. But they are also doing a lot of important things. Like there is so much legitimacy to being founder, like when everything falls apart. When the world changes with like COVID, everyone had to really rederive what matters because suddenly every business was just massively affected.

0:14:14

The founders were there for it all along and can just say, okay, doesn't matter, like what our priors say, here's what happens right now, because I can discard all priors and can re-derive from principles what we should be doing given the changed world. And that's valuable. Then there's a couple of things that are just easier to do if a legitimacy comes from a founder rather than legitimacy comes from a plan. Because this is a core of a difference.

0:14:37

If you're a managerial run company, you're a custodian of a company. You inherited it. Very few leaders of companies there are some but very few of them could rebuild a company tomorrow if everything goes away what you have to do is you have to create consensus that a certain plan is the right plan and then that plan is actually the source of legitimacy that plan is being implemented in an entire company you can campaign for the next version of a plan you can talk to the board you can't use your keynotes to talk about AI terms you actually have to use your keynote building up a legitimacy for the next set of plans this is why you see goal posts

0:15:08

moving Like it's much easier to just change numbers in a plan that already has legitimacy than it is to change the plan entirely. So it's much harder to react, and so everyone, I think, generally gets this. The plan is not sentient. The plan can't just say, hey, this company is spending too much time in meetings. The plan can't go and subtract all of our current meetings every once in a while because it's neutral to meetings. It doesn't reason.

0:15:31

But the management and even the CEO might not have a legitimacy to do so, because I'll tell you, as someone who leads meetings every once in a while. People are pissed. They're like, oh, that's a Tobi thing. So that's a good change management. It's nice to not have to manage deal with everyone being pissed. Everyone's just like, yeah, Tobi's just eccentric about meetings. Meeting load goes from people average five and a half hours to three and a half hours for the next year, and the company works better because the people who are actually writing code are actually getting work done.

0:15:56

Any of these meetings were not important. So just as an example. So what's this founder mode thing? I think it's a label on top of something that people feel, especially people who have been working in a bunch of different companies. The relentlessness, but here's the way I would put it. I think what happens in most companies is they converge on let's go with temperature. I think companies run at room temperature because that's their entropic equilibrium of temperature.

0:16:19

That's not a problem if everyone else does it too. So if in room temperature, everything is just so. But then there's people who inject heat into businesses. Brilliant product managers, brilliant people in any job do this. They're dissatisfied with the status quo. They pump energy. The best leaders are literally exothermic. They are just like this complete wellspring of heat into the system. Every atom jiggles faster around them. There's no chance for stasis. Nothing is frozen over time.

0:16:46

However, people mean well, but they fight it. They do, because everyone's allowed to try to conserve energy. And everyone's allowed to be intelligent actor in the local incentive system. And if there's a lot of heat in a project, everyone go faster, do this better. And the best way out of it is to just pull take that person away when the people will do it. Or at least someone will do in a large team. And if that works, then those people are gone.

0:17:09

And then room temperature prevails. Founders are not room temperature people by definition. The main act of starting a company is you're trying to inject heat into planet Earth. You're trying to do something like fighting against entropy. You're trying to make something better or something different. So I think founders are recruited out of a set of exothermic people to begin with. Here's the thing that founders end up doing. Not just are they injecting heat from the top into the whole thing.

0:17:35

They are to protect the others. When things are going well, they make the politicking against them not work. So if you do this well, I have a company where many of my reports, I think almost all of them, I have a founders at the company. I literally collect them. During COVID, I had a lot of executive turnover. I went to the founder Slack channel, which is people who over the years brought into Shopify through talent acquisitions and so on.

0:17:59

And said, hey, we're in like a crazy time and you all have been responsible for people's livelihoods before. And therefore you know what that's like and who can do what? Let's go. Let's dance. And I think this is a real thing. Companies have a clock speed, companies have a temperature, and it's just powerful to preserve it. And then it's powerful to be able to use all that energy and direct it into a mission where you can rederive from first principles what the next best step is on this mission.

0:18:26

Especially during times where the fog of war has settled and the map is not quite clear, but the mission gives you a direction and you need to figure out the best path through it. In a game of perfect information and a time of perfect information, maybe this is sort of a 2017, eighteen, nineteen era. This is actually not ideal for companies. I think you actually want potentially lack of heat in the system, lack of jiggly atoms, pick your metaphor here.

0:18:52

Is not fatal because actually the plans will work because the plans are not going to be invalidated by a changing environment. And therefore, it's way simpler to lead a company this way. All these stories about hire good people and get out of their way actually work, but they work accidentally because everyone's just following the plan. The plan is the thing that's telling people what to do, not the CEO. Especially interested because it resonates so much with my own experience.

0:19:06

The act of protecting the exothermic hot people seems like where the rubber really meets the road here in terms of what your job is. Obviously, you got to get them in the seats in the first place. We can talk about that too, but you can probably identify those people, even if it's just those that have been founders, like you said. Can you tactically tell me how you have protected those people and the steps that you've taken to not let the political machine oust them from the system and reject the organ?

0:19:44

Look, the difference between the best companies in the world and the worst company of the world is probably that humans are political creatures and best companies in the world. People spend up to 20% of the time on politics, and then worst companies is up to 60%. It's a very small margin in which you can operate. You can harness politics too. It can be good, it can be bad. It's not even all that, but it usually means that people have a different hierarchy of goals than the company itself.

0:20:07

So the top goal is not the mission of a company, it's your own career or something like this. How do you protect people? Well, you just make the exothermic thing work. That's what you promote. Again, I pick people from individual contributor roles and put them in charge of large hundreds of people departments. After they ran a code red for me, that just really worked. And they have the abilities to do this. But they skipped many, many rungs that other people think they should have really passed through on the ladder of a career.

0:20:34

And I just don't agree with that. And the people that really, really need this to be all just so and everything being seniority based, I suppose. I think there's a lot of great companies out there that are structured so and I don't have a product that they want to buy. In terms of a way to think of a career, I think of merit. And I'm actually not arguing in favor here of a brilliant jerk and keeping them and building because I think that's actually can end up being toxic.

0:20:58

I think also like the ego to merit ratio has to be enormous to just bother with people. I think life's too short to surround yourself with mean energy vampires like that's just not a good idea. So find a merit to ego ratio is important. Some people are incredibly good at what they do, and they are allowed to be self confident about them. I know some people misconstrue this as arrogance, but it's arrogance if you're no good at things.

0:21:24

Like, if you're actually good at things, you're just communicating it. And people might not like that, but like that's just aesthetics at this point. It's a complicated balance and you have to figure it out. The second way is malice in behavior. I'm out. So there's a code of conduct, minimal requirements. I think that's a valuable thing to just break up in this context. So how do you protect them? Well, you do. You say, hey, we have a company built for these type of people, and we celebrate going fast, and that's what this place is all about.

0:21:47

Can you have a team full of hot people, of exotropic people, or do you need some room temperature people no matter what? I don't think it's possible to achieve that at any kind of scale just because it's just not that common. But I think the quote, absolutely. I think that's the story of the greatest agents of change where like I'm sure the founding fathers had no passive players in them of United States. This is why they're so fascinating.

0:22:06

They're all exothermic in different ways. They just happen to agree on the broader picture and come together when it mattered. It seems as though the most valuable potential actions of founders in founder led companies, especially at scale, is aggressive redirection. That if it was a manager, would require crazy amounts of consensus and therefore often never get done. The last time we talked, you had tons of emphasis on the Shopify fulfillment network, and you've done one of these where you've really completely changed how you're thinking about it, what you're doing as a company.

0:22:15

I don't think a manager, a professional CEO could have done that. Can you just walk us through that as an example of this power? I agree with that. I think again, that gets you back to what is valuable about having founders around because you can agree to drive against new information. You can not just what does this mean for the next step, but actually replay the entire history of the company. Take this new piece of information, insert it at the beginning, run the counterfactual, where would you end up?

0:23:06

If that's different, now you know something that's true. Now the only question is what do you do about it? Do you have the courage to act on it? Is it the best set of trade-offs in the current situation to go make the change? But where does this piece of information come from? It usually comes from people who are there, highly alive player in the context and having a conversation around like, I don't know if you know this, but this thing is true.

0:23:27

Or just what's better given all the things? In this case, the thing that changed. There's a couple of pieces of information. I'm not going to get into all the details, but one large thing was actually just also AI. Look, attention is important. I think we talked about video game analogies. One thing you learn when you play a lot of good something like StarCraft, your most limited resource is not actually the minerals and the Vespene gas is actually attention.

0:23:50

You win the game by zapping attention of other person. So attention management is one of the most important skills. We were in fairly stable times. Things weren't changing so much. And building for the minimum network was super valuable. But it's a big pivot for us with completely different skill sets. And my attention was extremely focused on building the skills that would make me a good leader of also that. The moment AI came, it is very clear that this is all software we've invented.

0:24:15

Well, first of all, that's already in my wheelhouse. So that's useful. And then second, none of the firmware stuff matters if Shopify ends up being the perfect solution to the types of problems that we had in the days before AI. It's like, that's not good business. So because of that, I'm like, cool, let's go deeper into the field that we already committed ourselves to and not go into the adjacency. And once that decision is made, my joking label for this is that I believe in the saturated sponge school of change management, which is not a school I made it up.

0:24:46

It just comes from the analogy that if you put a sponge into a bucket of water, afterwards it's so full it cannot absorb more water. And therefore, it doesn't matter how much you submerge it after the point. So I think change management's best done is just saturate the sponge, load up all change in one go. Because people will mind, but they can't mind more than the saturation point. So all of our change after this point is free.

0:25:05

So might as well do it. I think these long drawn out go and just do a whole lot of stuff over a long period of time are incredibly incompatible with human psyche. It might seem more convenient in the implementation, but I think it's bad for. Yes. I'm curious how the art and the science blend together in this. Because the founder, obviously, you have directed the art of the business, the original product, how the world should be that it's not.

0:25:13

You keep doing that on an ongoing basis. But now you've got a huge business. Seems like you've got a very talented executive team, and I'm maybe even especially interested in your engagements with your CFO. And thinking about I know all the things I know and the directions this could go and what I think we should consider. How do you then sit down and work with someone that's maybe more on the science, on the numbers side of the business, to learn and make these decisions together?

0:25:55

My CFO, Jeff, is someone I've worked with intensely nine years ago when we took the company public. He was on the most steady side, and now we get to work together every day, which is awesome. And look, the numbers, the sciences, you call it. They are the facts. They are the most bold faced points on the graph paper of trend lines. Because most we know for sure, everything else is as good as the model and heuristics.

0:26:16

So I think we talk a lot about these things. Obviously, we talked a lot around the times that we were making changes to the fulfillment network because there's such consideration about how it's perceived. But I just think at the end of the day, short term pain. If you know it's better, let's go. I don't over index on these things. I just want to understand how people think about it so I can address the concerns. And then I personally admit this.

0:26:38

I don't always have a full recall of all the numbers, even the top line numbers, but I know the trend lines. So sometimes when someone asks me a very specific question about finances, I will go back to a checkpoint where I looked at it and will run it forward and I'll be right about it. But I'm not in the factual numbers all day long. Because a lot of it is just I get better predictive information from a lot of machine learning model forecast systems and so on.

0:27:03

That's sort of an interesting thing. We have an executive team, we come together every Monday, and this is important. Data and finance at Shopify works super closely together. And that was really important to me because I think many CEOs live in a split brain problem world where data is just forecasting and finance is just gap. And I think gap accounting is basically a dashboard for Wall Street on top of facts of a business. And I want those things to actually be extremely connected because otherwise things go very poorly.

0:27:31

And then who do you spend more time with ends up being how you think about the business. And if those things are not congruent, then bad things happen. So I think that's something that's gone really, really well in this company. It's fun to think about Shopify, the business as this thing that came through you and your early team and has grown up on its own, exists independently, but you still steering control. It's like the rider and the elephant or something.

0:28:17

I'm curious if you think back two and a half years to our last conversation, fulfillment network, et cetera, and then forward to today with AI and everything going on and the way the business looks. How you would describe the difference in fundamental nature of the elephant, of the thing itself, of what it does, of what it's meant to do, of its key characteristics, and how, if at all, that has changed in this two and a half year period.

0:28:24

I think it's a much more self confident company, it's a much more tension company. And in fact, it's a lot more similar to five years ago in a lot of ways. You might remember, we went public very early, billion and half valuation in 2015. I think 1,000,000,007 first rate. So that's a very far distance here. And even then, I think we basically had all the money that we raised from financing rounds still in the bank at that time.

0:28:37

Shopify is just a company that makes every dollar count. It's like being operationally efficient, being efficient with money, being efficient with capital. It's like out of a fitness function of a company. Things are tested, foremost, waste is like physically painful in a very real way. I think the zero interest rate periods really they made all these characteristics of the business basically a liability because you cannot compete with everyone free spending on free money. If you're trying to make every dollar count, you can be swamped out of the market.

0:29:05

So I had to lap not caring about this stuff for a while, and I think that just was not great. If I had a time machine, I would just, hey, let's keep tensant through the time period. But like, I don't think this was actually a valid play for this period. And this is how everyone got swapped up in this time. Also, I just jump out to expose. Honestly, like, I've been thinking a lot about islands, genetic islands, like Darwin and his voyage of a beagle, finding finches which are different and saying, hey, those are the same finches, and therefore coming up with a theory of evolution.

0:29:33

Genetic islands are really important. I'm just making the leap here from genetics to memetics. Obviously, not the first person to do this. Memetics works exactly the same. The exchange of idea just happens faster than the exchange of DNA. There are not many islands in the world anymore. Mainland is really big. The internet has connected us all. But innovation comes from islands. Difference comes from islands. Literally visiting Japan is different than other places because it's an island, has enlightened barriers such as water and language.

0:30:00

And therefore they can maintain difference in a way that is very hard to do if you're part of a mainstream. Mainstream thinking is incredibly fashion oriented. Sometimes it's fashion of this sort, sometimes fashion of this sort. And I think that with aesthetics even ended up impacting company building. And I think my takeaway is Shopify did not have language or water as enough to be able to make decisions that are significantly different from the ideas that are just floating around in the mainstream of his time.

0:30:29

I think focus depends on more islands. I really do. Shopify is based on a programming language called Ruby, which hails from Japan. And I recently got to spend a little bit of time with the creator of Ruby, Matz's time. And it is remarkable because that language is different from all other languages. It optimizes for totally different things. Ruby optimizes for programmer happiness. It implements with great pains to the implementers of a language something called poetry mode which allows you to just like omit brackets here and semicolons like you just don't need them the system does stuff just to make engineers happy that's an aesthetic that's a decision that Mister Matsumoto made thirty one years ago when he started this language

0:31:11

and has been spending his entire life perfecting this language in his way it's his he makes all the decisions yes lots of people were helping him but like all good open source software it's an island that creates gifts for everyone It is not part of a main mainstream. He's not compelling anyone to use it. But people who are using it love it. And then there's like Ruben Rails, which use that gift to make a web framework, which I've used and I worked on a bit.

0:31:39

That is also just a gift. And David Hanahan Hansen makes all the decisions. You would make another version of it because it's open source, but that island is yielding gifts. And I don't know. I think the memetic mainland has gotten so powerful. I don't think we have a lot of islands anymore. What new music has come out in the 2000s? There's all this music. EDM was over here and Berlin rave caves. And then you had hip hop from abroad.

0:32:03

Obviously, these things were around longer, but they were like fully formed products. And then what makes them as good as is distribution of ideas. Or even inside of a company, instead of becoming this monolithic mainstream thing, which is very good at distributing ideas, to be fair. How do you become more like an archipelago of islands that all come up with products of merit and then trade ideas and give gifts to each other? This seems like a double edged sword with AI that in one sense these large models have a homogenizing force to them.

0:32:38

And anyone that's interacted with enough of the outputs knows it has this feeling to it, and you can prompt it differently and whatever. This is actually what I mean. Academia was an island here in this metaphor, and through the related peninsula, I suppose, of OpenAI, ended up creating fully formed gifts that then were exported to everyone. This made it to a mainstream was distribute fast, incredibly fast, fastest growing product of all times. Again, because that's what the mainstream, let's call it the main continent does.

0:32:55

That's cool. But luckily, we also have entropic, and their models just have a different tone. That's good. And then incredible, and we should all be so thankful. Meta with its open source models and giving us incredible gifts in conformity to the open source ideals here of models that we can train and can do different things. And now all these little islands can form. Let's say, hey, over here, this is our job. And this is our leadership structure.

0:33:09

Like, this is who makes decisions. And we're doing something for a completely different purpose. Then again, if you come find something that is of value, other people will do. And if not, no one does, and that's fine too. The discipline of an island are getting exactly what we want. We don't need everyone else to also use it. I think that's important. Can I ask about maybe two dimensions of this and get your reaction to it? So one is I'm obsessed with this concept of life's work, and increasingly, I have realized that the thing that attracts me to people is those who are doing what you say, like building their own island, and everyone's got a unique experience.

0:33:20

Well, maybe we can talk about that, like how different people's experiences are could be a problem here, but people do have unique experiences. And if they find a way to self express into whatever it is that they do a business art whatever that's where real magic happens and that a lot of that comes from separation I always loved that Joseph Campbell idea who studied the history of mythology and that he credits all of his findings with going into the woods for five years and reading books by himself and talking to nobody and just being separated being an island yes yeah being on an island so I'm curious I want to talk about how we can promote more islands in general

0:33:31

all the ideas you have for doing so My own idea would be this concept of life's work, plus maybe separation, which are different ideas, but really important. Can be ways of doing this because I think a lot of people listening will find the idea appealing and say, yeah, I want to create one of those, but not know how to do so. So I'm curious for you to riff on that. The two ones I now work extremely well is in the programming world, we have open source, which is always island producing.

0:34:45

And I think actually the purest implementation of a market. open source is totally misunderstood by the way like people always think about this as the commons produces something that's better but literally it's the opposite everyone can fork the project if they have better ideas and send gifts from there and if those gifts end up being better than the previous version then it's a marketplace but it doesn't run for money it just runs purely for legitimacy and merit and every good open source project is led by a very small group of people surrounded by a leader and highly legitimate leader So it teaches us a lot about human organizational structures with work.

0:35:17

And then companies. Look, Shopify is an island from the beginning, and is my life work. So you might be on top of my book here. But I was part of a real main continent, real world, let's call it. I looked at the software that was available to me, and I just didn't want to use it. I built my own because I didn't think people were doing this right. I built it for myself. I built the software I was looking for that I couldn't find.

0:35:36

And I figured, man, I'll just build that because I think other people will find that useful. And then I invited people over. The amount of times I heard, hey, this Shopify thing, I like what you're doing, something like this, but this will never work in the real world. Is basically every day. Someone is like, this will never work within the real world for real retailers. This will never work in the real world with real businesses. This will never work with customers or enterprises or any of these.

0:36:01

I've heard it all. And here's my response every single time. It's like, yeah, that's fine. I'm not building for the real world. I'm building for my own island. And I'll invite you over. Like, if you think what I have is better, use it. So I think that's important. This separation is important. And again, I'm going to give myself a B minus to C plus here because again, when we went into, I think I could have survived ten years of a boom cycle intact.

0:36:28

But year eleven, twelve, thirteen of zero interest rate phenomena appended to a ten year bus cycle. I got washed. Someone built a bridge to mainland and I didn't notice. I got infected by some ideas that I probably would not. I'm cross with myself about this. So my defenses weren't good enough to be permanently outside of this. But I still have some semblance of success here, and I think I've re-established sovereignty. So again, we are not building for a real world.

0:36:52

We are building based on insights into the problems from first principles. And then if people like it, they use it. And then those trend lines we talk about, Jeff gives me the update points. I draw the trend lines between the points. And if those go in the right direction, that's really good. But the consequence of making sound decisions for particular problems that we as a company, me as sort of patient zero, and then we as a company have just fallen in love with and give a shit about.

0:37:18

Because at the end of the day, I know this is all very abstract. I'm saying it's all probably terribly confusing. So just say something a lot more actionable because the place you arrive at at the end of all this philosophizing is products are good when the people who make them give a shit. And because what they do is they fill up the products with giving a shit, and everyone feels it on the other side. And that's just wonderfully simplifying realization at the end of a day.

0:37:40

And I'm sure there's hundreds of paths into navigating a new position where you can create products that give a shit. And the beautiful thing about products is they are one of these things which causes community. And community is one of those things which bootstraps separation to some degree. And that is the substrate from which true lasting differentiation can be done. And again, I'm year twenty now in Shopify. And so it's gratifying to have done so. I aspire to what Matt's did with thirty one years of a difference in the Ruby world, and I hope to spend my entire career up soon.

0:38:02

So there's this island, but let's just presume its existence, and then there's constantly attempts from the mainland to build bridges to it and infect it. One of the things that's so fascinating to me as you're a big public company is that Wall Street always has lots of ideas for what you should do. And one of those ideas, if you go read the expert transcript libraries, which give you a nice window into what people are asking about, is why does Shopify not go monetize its end customer more?

0:38:10

Why has it remained so focused on the merchant? It has this massive network. Why is there not a Shopify Prime equivalent? Why aren't you figuring out some way to take this thing that you uniquely have and drive more monetization from the consumer side rather than the merchant side? This is like island and bridge to me, and the tangible example to make it real for people. Walk us through that specific pressure from Wall Street. I don't disagree with all these things.

0:39:06

I just think people always made the value of an idea. An idea is worth one good bottle of scotch. Everything else is in implementation. And here's the thing. The implementation matters. For instance, it would be trivial to do this, but there's an understudied, underacknowledged thing that happens where your customers by a company stop being treated as a customer and are now treated as a crop to be harvested. That only works for a moment because this is not a sustainable long-term relationship you can have.

0:39:27

And I see our customers and people coming to our customers as all partners in a big project. That doesn't mean I don't monetize. Clearly, Shopify makes billions of dollars. But we again earn money where we of value and of merit. Very often, Shopify is the cheapest software people have in their entire stack. They often people pay ten times more for their CRM, for the software that literally runs the entire business, which I think is hilarious, and I'm sure will change at some point.

0:39:51

So again, because in some of these cases, this might sound too much of a pointed particular thing. I'm just making general statements. So you can talk about metrics, observability tools as well, CRM. And obviously, I've experienced this myself in a business at some point. I thought we were partners building something. You build awesome software. That means I don't have to put engineers on observability. And I get to focus on commerce and you do this, and I pay you sensible amount of money, and that works for everyone.

0:40:16

And suddenly I become cropped. And it's very obvious when this happens, I'm just holy crap, man. I now have to replace all this shit. Anyway, so this is an experience that happens a lot. And let's just shun for shit like this. Just go and build long-term value stuff. And we are smart people. We find if you figure out and can share the attention, the priority enough by doing so. We'll figure out how to build something that people just love spending money on because something new just became possible, and that's the right way to think about monetization.

0:40:43

And then revenue growth over a long period of time takes care of itself. Can you talk about the impact that being in founder mode, founder led, protecting the soul or the flame of a company makes marketing easier than trying to market a plan that's been built through consensus? I learned a lot from Lululemon survey on this topic, who I know, you know. And I'm sort of obsessed with people not realizing that if you just do it how you want and build on an island, marketing will be way easier.

0:41:22

Can you explain? Well, first, if you agree, and then second, how? I think this goes straight into the island versus the main continent, mainstream conversation. Look, the mainstream is much bigger. No doubt. If you want to grow as fast as possible, you have to convince people to switch mainstream narrative and your direction. If you are off an island and have a different value system, your direct message will not do the job here. Because that's not how you speak to mainstream.

0:41:34

You have to love mainstream language. By the way, that's changing all the time. So maybe you accidentally speak the right language in some instance, but that changes tomorrow. So what does this mean? You hire a marketing agency which speaks mainstream and speak mainstream to people and hopefully do it slightly more tweaked in such a way that mainstream pays attention. Again, that's not what I'm talking about, though. I think what we tell our customers or our merchants is why is your thing exist?

0:41:57

What happened to make you think that this needed to be done? What's your source of energy? What are you doing? You're exothermic, but again, Newtonian laws say energy has to come from somewhere. What are you converting into this exothermic energy? Is it just some dogged desire to have a product exist? Is it anger at the status quo? Is it a counter? Have you been slighted by people and you want to prove them wrong? It doesn't actually matter.

0:42:21

Human emotions are only net adders of energy into these systems. Which ones have you tapped and contained and put a steam turbine on top to cause building to happen now? And then explain the journey and say this thing. That's a story for a founder. But that's speaking to your island, not to the mainstream. So I've learned from Lulu and through trials and error. But honestly, I didn't take my own advice there and tried all these like, hey, let's frame Shopify in whatever.

0:42:49

We place our website. Recently, just put a video on top there, basically asked by our internal videographer, video team, people who have been with us for a decade to say, hey, this story we always talk about about why Shopify actually exists. Can you just pull this out of this company? Do your magic and just do that, and let's put it on Shopify dot com and just explain this exactly the same way we tell everyone to explain why their products needed to exist.

0:43:11

It's a little weird that that took us long to do, and we did. I think that's a better way to talk about it again. Because we do not want to convince the mainstream that everyone should be on Shopify. We just want to tell people that life on our island here is really good. Things in the fitness functions are that we celebrate. People are reaching for independence, doing awesome stuff that's hard, that's overcoming adversary, building products, adding value, creating gifts at the send, and there's an exchange of product for value in the sense of money.

0:43:37

And by the way, we have pre tooled it all. We have a lot of infrastructure of our own on this particular island. Come join us. I don't want to convince everyone to use Shopify. In fact, I literally want to do the opposite. I actually don't want people to do it, to use Shopify if it's not the right thing for them. But the people who want to pursue entrepreneurship will figure this out. I think people do figure this out about themselves.

0:44:00

And for them, there needs to be a place. Like Island of Misfit Toys or otherwise. I'm passionate about this. I would love to actually invite more people to think about this. To be different, you have to be different. This is an axiomatically correct statement. Archimedes would be proud of me right now. But difference doesn't mean better. Difference just means different. But that's the cool thing about islands. You can have lots. And if something isn't working, you just go to a different one.

0:44:23

As long as there's no coercion there, you end up in a much more rich marketplace of ideas, where lots of people can just bring ideas into the manifold. People can judge them, people can join them, people can adopt them, and may pull them into the mainstream. But as long as something in mainstream is exported from an island that maintains its membrane separation, you will gain more and more and more innovation being sent. If it's integrated fully, the bridges, the highways, the differentiation is broken.

0:44:51

And I think what you end up with is something that can only be changed marginally, maybe slightly incrementally, but not in the richness that people have hoped for. Can you talk about the I'll use a big word, the glory of entrepreneurship? Because ultimately you are serving people who themselves are entrepreneurs and building something hopefully unique. Hopefully their own little mini tiny island with a couple huts on it to start and can get very big sometimes. Talk about that glory because that does seem to be the through line for why you give a shit.

0:45:29

And that's like a renewable resource. You don't run out of that energy it seems at least in the time I've known you. So talk about that. Exactly. This is so important. I love the term glory for this because it is a glorious pursuit. It requires courage. It's a journey. To me, I scroll through everything Netflix has to offer, and sometimes I watch something. I don't think the stories are as good as the ones that I hear when I talk to my own customers.

0:45:41

This is the craziest and most awesome thing about Shopify and something I do bring up more frequently now, even when people are considering joining the company. You know how awesome it is to build software for awesome people. If all your customers are inspiring you, again, that's exothermic as well. And frankly, they are exothermic people. They are people who reach for difference. They are trying to make something. I'm so unreasonably excited. I can scroll through my shop apps order list.

0:46:05

Last night, I found a Shopify store that's 100% specialized on making pirate ship treasure chest themed poker sets. I love that this exists because that's awesome. I'm taking family to a Caribbean. Clearly, we'd never knew it, but every poker game I've ever had with my kids and my family has been impoverished by it not being pirate themed. Because that's totally awesome. Someone realized that the world was not complete, at least for me, maybe I'm the only customer here.

0:46:33

Maybe I've been micro targeted without this existing, but someone saw it through and made it exist and went through all the trials and tribulations of creating these products. And I love it. So I think that's just glorious. And it's glorious that people can do it. I hope they are doing excellent, and I hope they create lots of employment and lots of secondary employment in the supply chain. It's just net value creation. This is how value comes into the planet.

0:46:57

Again, it never gets lessened. There's no down or no downsides. So I'm actually almost humbled by realizing just how lot bearing this is for all of economics and all of our standards of lives. And every time I think I've wrapped my mind around it, I realize it's actually more important than that, and somewhat more fragile as well at times. So I hope that one of the things that I've discovered with this terrarium, which I use as an inspiration for like, make my own decisions about how products should evolve in the future, will be that way more people can go and put a team together of experts that they need, some humans, some not, to help them along, inspire them, be

0:47:33

thought partners, be non judgmental, sparring partners if that's what people need, or just deeply competent logo designers if that's what you reach for, or just explain how to actually set up a domain and how to incorporate business, wherever you are. People will get so much more support on their journeys that just more people can reach for it because there's a lot of white space. There's a lot of pirate themed poker sets to be done in basically every other intersection of multiple awesome things that can be put together.

0:47:59

And I think my most hopeful belief here about this AI age is that a lot of the products, lots of the things that don't exist, a lot of value that wasn't added to a global GDP happens because rich and confusion, lack of access to information, and too much deference to naysayers who say reaching for independence is not the thing to do with a career. And I think that'll change over the next years, and it's already changed in the last ten years.

0:48:22

I think that's awesome. Can you rearticulate your product philosophy? At core, my philosophy is humans are absolutely awesome, and computers are absolutely incredible networks we've built, and the international network we've built, the infrastructure that humans have built is awesome. And I want to put this stuff together in such a way that we give those awesome powers to as many people as possible. And then let them have a go at it. At a different zoom level of a fractal, we follow a philosophy of make the important stuff super easy and make everything else possible.

0:48:49

That's why you can get a store in a minute that could power your business for life. You can dive into the minutiae of a template language or compile a web assembly extension for Shopify to customize it just so you can do both things. So that's important. But all of it, I think from day one, the killer feature of Shopify has been that it's we tamed complexity into super approachable user interface that can be used by people with minimal training.

0:49:14

And hopefully, in most cases, the significant power of a system only reveals itself to people in the moment that they actually have such problems. And it's very hard to build software that scales as far as we do. And we're not talking about technical scaling. That's also hard, but super fun. And never worried about the stuff that's hard and fun. The stuff that's hard and not seen as significant fun is much harder to do. Because that's where the exothermic energy needs to come in.

0:49:39

You know what unfun causes? Freezing. At some point, you're at zero, and then nothing ever happens anymore. So one thing that's unfun sometimes is this taming of complexity, which is building software that actually works for people that try to reach for independence and glory in their lunch break. And still the same software works for multi billion dollar businesses. Everyone's like, man, that is clearly the people up here in the market make all the money. They have money.

0:50:04

They have sophistication. We have dedicated staff, we have training programs. Why don't we just build for them instead of everyone? That would be much easier to do. And yeah, the answer to that is 100%. And by the way, it would be very hard for a not founder mode company, like a managerial run company, for someone to create a plan that the consensus will sign off on that says, hey, let's build software for people in their lunch break.

0:50:26

That can also power billion dollar businesses. That's not a sensible thing to do, yet it's exactly the right thing to do. Because what it's missing in this equation is, well, if you do that, you can help people become the billion dollar businesses fast. The billion dollar business on Shopify started on Shopify. Now we've been around long enough to see the other side of something that was only a hope at some point. So we can now take a very active role.

0:50:50

If a business could be a many million dollar businesses, I think the software can just push people to get there faster than they thought was possible. And we can reduce the complexity of their entire journey. And frankly, we are going to reduce the complexity of that journey absolutely tremendously for all the AI stuff that's coming. So I think we can remove so much friction that at some point business can just grow very, very, very fast. I think that's awesome.

0:51:11

So my life philosophy is like, build the best possible software that anyone could possibly go find for who wants to do this thing. That is what our mission is about. And then compromise to the point of currently technological possible, and then build that. But know what insanely great looks like. And then compare the changing landscape of technology capabilities to what we actually really, really want. The ideal Shopify version of product is you have a quick conversational email, tell us about product that you have and want to sell.

0:51:40

And then there's a beautiful website doing it perfectly for everyone. Maybe it's customized to every individual person visiting it, or is talking through AI as an advisor to other AIs to tell them why you also need pirate themed poker sets. And then if someone orders it, we teleport it to people. That's the ideal state. Like this is everything working perfectly. But let's compromise because we haven't beaten physics on the teleportation. But boy, have you gotten a lot of AI now.

0:52:04

So this is what keeps it fun. And my product principles is pull as much value out of what the smartest people in the world of computer science and logistics and computer networks have figured out to be helpful on our entrepreneurial journey. So more millions of people can do it. I love the product philosophy of connecting people that want to use the tools to the most magical elements of what technology enables. I'm curious in the face of AI, how you think the way we interact with computers in the first place might radically change.

0:52:59

Someone talked to me recently about a world post applications. What if the way we interface with computers is incredibly fluid and not in separate panes, not in separate windows or applications, and that it just starts to feel more like a conversation. I'm curious if you think that will come to merchants, to the way that we shop, and bigger picture, just the way we interact with machines and how you deal with that. I 100% agree that this is what's in store.

0:53:07

Now, you're not moving from one thing to another. For instance, all of us technologists, especially programmers, have lived through many such changes. We are all using a paradigm of hopefully nice high DPI screen. It has windows on it. Most computer programmers will have somewhere terminal window. And that reaches into a command line. That's the old Unix. The Unix is still alive, still sits below all this stuff. And the people who know how to wield it like an intricate, incredibly powerful instrument, reach through the windows back into the Unix system.

0:53:27

So it's there. I think a lot of what we are doing on computers is going to take a similar form. It's just like programmers switch to a Unix command line. Our generations of computer users will appreciate Windows and applications. Many of these applications might exist only on our computer because it was bespoke created by an AI for us for our purposes. But I think it's an aesthetic that works. We also then leave our desk and our meta Orion glasses are going to superimpose whatever we want onto the world.

0:53:55

And it just seems extremely natural. And we will have conversations. I have conversations with my Meta Ray bands right now. So I think you can already live in basically this future if you try. I think about these things as vacationing in the future. Like, set myself, okay, for this week, I'm only going to work in this way. But I now is more representative of this Gipsy and idea of the future is already here. It's just not evenly distributed yet.

0:54:14

I'm a tool builder, so therefore I need to live in everyone else's relative future, the very latest version of it. So you can do all these things already. And I think it's going to be a huge. And you're going to do all these things. And you're going to have a conversation about your business on the phone with a person who's then gonna do things. And then you're gonna have about the design for the next campaign, which you just planned with A I.

0:54:37

That's gonna send proofs to a window on your computer. By the time you're at home, maybe from email, maybe from whatever else, maybe it's like something you're gonna review on your phone, which is also still gonna be around. It's gonna be all of it. So this is the direction it's gonna go. Word shopping depends entirely on what you're doing. In the same way, how I can right now do e commerce or go to New York Fifth Avenue and I have these possibilities and there's gonna be fifteen other ways.

0:54:58

We're gonna discover that are also valuable. In the future, that's not very far away. I will have a favorite A I, but either through just being connected to my systems, knows that we are going to the Caribbean. Knows that the family is coming again because it's presumably my calendars. Knows that I play poker with my kids, knows that I play Sea of Thieves with my kids. And therefore, as we are getting closer to a Caribbean trip, it says, any chance this is the thing you would be excited about?

0:55:22

Because it knows me well. Now it does this because it has a lot of data on me and I trust it. I think AIs working together, doing different jobs, representing both sides is really what I think people mean with agentic flows, or at least I think the user observable consequence of all the talk about agentic future. And I'm here for it. This sounds so much fun. In a counterfactual world, here I'm listening to your podcast and hear someone talk about what I just said.

0:55:47

I'd be so unbelievably, unreasonably excited to live in a world where there's a before and after on that, because that sounds fucking valuable. And I want that to be true. It sounds cool because I love computers and I love discovery and all these things. So I want to be in a world where this all works and the builders of our times are building towards it. The fact that I get to actually play an active role in this is so crazy unlikely to myself even, and I'm so grateful for it.

0:56:13

Just feels trivial to have a good time right now in this industry. So let's go.

0:56:17
Patrick O'Shaughnessy

My friend Zach Frankel has this interesting idea that A G I is already here. These things are already smarter and way more capable than the vast majority of humans out there. And that the problem is just figuring out what to do with it and how to connect it to the real world. And I'm really curious, cause you run a company that is so incredibly last mile connected. That's literally what the business does for all these different merchants and your customers.

0:56:39

And whether or not you feel as though it just takes time to digest this stuff, we can't speed up the rate at which we connect this new thing to just the real world itself. The world can only accommodate so much change in a given year or something. And that we're already maybe in catch-up mode and that we do already have A G I and it's just the process of deploying it now. Does that resonate with you?

0:56:59

What do you think about that?

0:57:00
Tobi Lütke

I think the A G I thing, you can get into the definition. I just don't think I have anything to contribute. Definition. I'm much more like fatalistic about this. What's the utility that can be pulled out of it? Also, what is the total potential utility we can pull out of G P T four and what's percentage? What we have pulled out so far? And I think I would put that at single digit. So let's just say, like, G P T four is out.

0:57:19

It costs per A P I call exactly what it costs right now. We'll never get a new model again, but we have infinite capacity to call it and it doesn't deteriorate in speed or quality. If this would be scenario, basically freeze frame exactly what we've had before O one was released, let's say, then I think there's probably $10 1 trillion of value for industry that can be pulled out of just that for over the next ten years.

0:57:41

And that's not the scenario we actually are in. It's literally not the scenario we are in today because we have O one models and

0:57:47
Patrick O'Shaughnessy

New models we drop on hanging phase every day. We have for first time models that are better than scaling laws returns for training trained by a startup. We are seeing incredible progress.

0:58:00
Tobi Lütke

So is A G I here? No idea. Does that matter? I think this is an extremely important question for a small group of people and everyone else gets to, but basically magic.

0:58:13
Patrick O'Shaughnessy

I'd love to close and collect all of these ideas together into a final question. What's really standing out in my memory from the conversation is these exothermic people, the role of heat inside of organizations, the role of hopefully getting those people on an island somewhere to build something with variance, with uniqueness to it. These are beautiful ideas. Shopify is one of them. Maybe you had a little detour there for a couple of years in years eleven and twelve of Zurb, but you're back.

0:58:34

So you've got one and it's big and there's a lot of people there and it serves a lot of people. How do you build trust inside an organization at this scale? Because for this to keep going, that seems like the core element that you need and I'm curious how you do it.

0:58:49
Tobi Lütke

Work with people deserving of trust and who repeatedly show that they come through whenever you trust them. Explain why this is non-negotiable. And also explain that this is not everything has to succeed. Actually, people build more trust with me quicker when they disagree with something and they're right, or at least right based on everything they know and then articulate that. And then we can have a conversation about why this still isn't correct and what perspective I might have missed.

0:59:15

I love these conversations. I think you have to have a culture, but the important thing is, what is your definition of right? Actually, yeah, because I've learned that a lot of people's definition of right is actually the opinion that most people hold is the right opinion. You're trying to converge on the consensus decision. I think it's deadly. I think that's a fitness function of the mainstream again. It can't be a fitness function of your island. A fitness function of your island.

0:59:38

I think if you're trying to be different and you're trying to be on the good side of different, A K. A better than mainstream, you need to make actual true correctness the thing. So I think when people are correct in their first principle sense and are willing to say so, even if it's inconvenient, what happens next is the thing that will shape your culture. If that is appreciated, you're gonna go places. If that isn't, then you're dealing with either wrong assumptions about the culture by some people or politically.

1:00:05

So that it's very important that that doesn't work. So then it becomes a way for people to help themselves to having opinions that's distributed because again, is it true? Is the thing that's important? And that allows people to step out of an org chart and just put up their hands saying, I've got something here and know that this is going to be going well for them, even if it contradicts potentially what the project has been doing before.

1:00:27

It's also lots and lots of interactions. I do have an entire thing on the trust battery, which it's micro interactions too. I think the big one is what is the opinion about correctness, about truth, and about right that is at the core of a particular community that you are part of. And again, if it's truth, then trust can be built across the company at a fairly high rate and then the cost of failure has to be very, very low there.

1:00:52
Patrick O'Shaughnessy

You reminded me of Bret Victor's idea of inventing on principle. That basically sounds like what you're saying, that Shopify has a very clear principle for how things should be, has a set of standards around how that thing should be brought to life. If you do that well at Shopify, you're gonna do well and the business will do well. And if you violate it, you're gone.

1:01:09
Tobi Lütke

And Shopify is not a place for everyone. It's a place for the people that really want to be on this place. There's no compulsion, yeah, for being part of Shopify on the inside or on the software. The super, super small percentage of people are on any length contracts, mostly because they want it to be for their own purposes. You can walk away from Shopify at any moment and I think that's actually an important part of keeping things very, very healthy.

1:01:31

I found those sets of ideas, they're not better than other people's sets of ideas. This particular mix constitutes a particular set of trade-offs, where individual parts of what makes up Shopify, the company, could easily be argued as being unoptimal for all sorts of purposes. And people could come up even in system why this is actually underperforming, how this usually works. But the holistic picture is like a set of trade-offs that work extremely well for Shopify to make Shopify and keep it Shopify.

1:02:01

And again, this is why you got to be an island. You have to be a genetic island, memetic island of some degree, because otherwise you're losing those tenants. And then revision to the mean will happen. And then you have a company that's like all others. That's not what I would want to work for, and I want to run a company that I would absolutely join. That's non-negotiable for me. I would see that as career level failure if not.

1:02:24

Also, my centers of exothermic energy that I'm tapping into to keep building.

1:02:29
Patrick O'Shaughnessy

I think we've done a lot of this in our conversation today, and it's been more philosophical this time, very tactical last time. But I love this framing of how to think about Shopify. Given who's listening, I love, in closing, just to ask how you would address an investor interested in the business and how they should think about Shopify long term through an investing angle. What kind of shareholder do you want?

1:02:51
Tobi Lütke

I'm the people who listen to this part of this conversation, basically, because everyone else has given up and I don't really care what the investment thesis is. I just want people to be part of it. The beautiful thing, Shopify is a founder run company, obviously. It's also a found a share company. It's not one vote, one share in this sense. I vote 40% of the thing, so it's not the traditional share company in that way, which I don't think was a lot bare in concept of the thing.

1:03:17

I think being well governed is independent of one vote, one share. Share of a company is well governed is what you should be doing. So what it is is a ticket to ride. It's a hey, this is how I build company. This is how all of my friends here at Shopify think about this place. We are trying to build something of tremendous merit for people that also are trying to be of as much merit. And you're taking a tiny little percentage of that, which millions of little lights make a sun.

1:03:46

The numbers are big, the opportunity is stupidly big. This way, we are lucky, we have a great position if it's company, and I think trust, that you talked about earlier, actually is one of the most defensible things. From an investor perspective, so many things where gap accounting really runs into issues in my mind. Almost every asset of this company can't be put onto a balance sheet or an asset statement. How much do our customers trust us to act on their behalf?

1:04:12

People outsource innovation to us, like that's a big, big ask in a time of so much change. Shopify keep me current, keep me cutting edge is what our customers say and we take seriously. Our ability to attract the best engineers in the world asset worth billions of dollars of the market cap, how many I don't know. We have a system of record for our customers. That is a different status compared to a lot of other software that people end up spending a lot more money on because it's just more crop than partner, I would say.

1:04:40

And these things are of long-term viability. Let's say tomorrow the all-knowing A I comes around that can write all software custom built. Well, you still need a system that you trust to be a store of record of information, a system of truth. I think an investment thesis can be built from that. And then I would say also, like, look at the track record of. I talked about first principle thinking, figuring out what's true. We got into this topic in basically every subplot we explored here, but more specifically around the Shopify fulfillment network.

1:05:08

It was true that this was better, this move, and this was not popular. I think you want to invest your money in times of significant change. If you are willing to go for long-term ride, which I think you should, into teams that are willing to do what's right and correct, even if easier possibilities are available to them. Because, as I always say, it's not a principle unless it costs you something. But once I'm excited about other people who buy the ticket to ride through wanting to support and wanting to buy into a highly alive, somewhat exothermic, sometimes wrong, but always willing to do something about it and deserving the right to wake up smarter every day.

1:05:45

management team in a space that is, I think, excellent, that's very big, constantly growing and of long-term value. I think people will build businesses forever against the backdrop of any abundance level of humanity or superintelligence presence.

1:06:00
Patrick O'Shaughnessy

Our conversations are always so fun and thought-provoking. I'm really excited for the one two years from now because I can only imagine the stuff that will change in the core layer of technology and the ways in which you and your team will deploy it and many other companies for their customers hopefully on their islands. Tobi, this is awesome as always. Thanks so much for your time.

1:06:18
Tobi Lütke

Really appreciate this. Thank you.

1:06:21
Patrick O'Shaughnessy

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