Why the Next Tech Giant Will Come From a Place You’ve Never Heard Of

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Okay, I want you to imagine a company

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with me for a second. And that company’s

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worth a hundred million. Seen a lot of

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those, right? But here’s the deal with

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that company that we’re imagining. It’s

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run by fewer than 10 people. Let me tell

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you, that company is not a decade away.

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Companies like that are going to become

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the norm and it’s going to be right

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around the corner because for the first

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time in history, startups anywhere in

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the world are going to be able to scale

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at lightning speed with almost no

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capital and with worldclass global

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teams. And in the next few minutes, I

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want to show you why the next tech giant

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could be born well outside of Silicon

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Valley in a place that you’ve maybe

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never even looked. Maybe you’ve never

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even heard of it. So when I say Silicon

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Valley, it’s certainly not to say

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Silicon Valley is not where any giants

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are going to come from. They’re still

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going to come from there. But for the

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first time ever, founders in Pristina,

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Bogota, and Nairobi are going to be able

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to compete on a level playing field with

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places like San Francisco and London and

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Austin and the tech meccas that have

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been around for so long. So, by the end

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of this video, you’re going to

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understand four forces that are really

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rewriting the rules of scale. And here

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they are. First, AI is compressing time

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to market more than we’ve ever seen.

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Second, we’re seeing capital efficiency

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at a level we could never even imagine

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before. Third, global decentralized

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teams are now moving nonstop.

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And fourth, why really big companies are

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going to be slow to stop this kind of

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force that’s occurring. So in the past,

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launching a product could have taken

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years. Thanks to AI though, you can

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launch an MVP in days. AI handles code

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generation. It can handle customer

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support. It can handle design, even

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marketing. A founder in a small city can

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now test, pivot, and ship at a pace that

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used to take an entire team in a big

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hub. In 2024 alone, 46% of all venture

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capital dollars went into AI startups.

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But here’s the thing with those

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startups. They reported 2.5x

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faster growth rates than their peers.

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That’s not incremental improvement.

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That’s a completely new tempo that we

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really have not seen before. Companies

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are scaling faster than we could have

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ever imagined. So let’s talk about

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capital efficiency and the

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democratization of startups for a

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second. So in the old world, you needed

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millions just to play. That was the rise

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of venture capital.

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Now AI is really democratizing startups.

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Founders are able to build, market, and

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acquire their first customers with

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almost no capital. Open-source models

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like Llama have been downloaded over a

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billion times. This is giving every

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startup founder the same cuttingedge

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technology that once required massive

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R&D budgets. This means you don’t need

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Sand Hill Road on your cap table if

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you’re going to go prove product market

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fit. A startup in Kosovo or in Logos can

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validate, they can grow, and they can

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scale with the same tools as a startup

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in PaloAlto.

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That’s entirely new territory.

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So the other thing that’s the other

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critical factor that we mentioned

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earlier is this concept of follow the

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sun global team. So now when you add in

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global talent and decentralized teams

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work literally never stops. So while San

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Francisco sleeps, teams in Europe or

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Africa are building. By the time America

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wakes up, features are shipped, bugs are

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fixed, campaigns are launched.

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It’s called the follow the sun model and

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it’s not just for big corporations

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anymore. It’s big corporations have used

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this for a while but not in the way that

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we’re seeing startups using it today to

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really sprint 24/7

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with lean teams. And here’s the kicker.

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Instead of paying 300,000 for one

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Silicon Valley engineer, you can build

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an entire worldclass squad across

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multiple countries for the same cost.

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They’re faster, they’re cheaper, and

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they’re just as hungry.

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And now with AI tools, that’s where that

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level playing field for that global team

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is really set. The bottom line is

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incumbents are too slow. So, you’ve got

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incumbents that are stuck.

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So many companies today, especially

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large ones, are, you know, they’re

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debating about dragging employees back

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into offices with these rigid return to

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work policies. Let them deal with that.

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That might work for them in the long

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term, but for founders, it’s the biggest

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gift you can be handed. While large

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companies fight over cubicle space,

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small startups with global remote teams

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are sprinting forward. Big companies

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can’t move at the speed of AIdriven

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globally distributed teams. By the time

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their investment committees finish

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debating, the new players have already

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shipped, iterated, and they’re starting

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to grab meaningful market share.

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Let me give you a real world example of

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this and one I’m really excited about.

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Company called Code Labs. They’re based

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in Kosovo,

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which is one of Europe’s smallest and

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youngest countries. There’s no giant VC

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rounds, no Silicon Valley pedigree,

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right? And yet, they’ve built a global

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platform serving major clients. They’re

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competing head-to-head with players from

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much, much, much bigger markets. And

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they’ve done it by combining global

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talent, local talent, and global reach.

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local talent to Kosovo and global reach

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along with AI power deficiency. This is

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exactly the kind of story we’re telling

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in scaling across borders. The docu

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series that I’m actually just launching,

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we’re starting to go into production in

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a couple weeks and we’ll be launching

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the first season in November of 2025.

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Code Labs is going to be featured in

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season 1. And when you see their

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journey, you’re going to realize just

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how level this playing field has really

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become. They’re just a remarkable story

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of really what this future of work and

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future of entrepreneurship is really

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going to look like. Because today, the

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future is going to be companies hitting

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a 100 million in revenue with fewer than

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10 employees.

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Sounds impossible.

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It’s not.

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Why? Because AI replaces entire

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functions. Global talent fills gap fills

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can fill gaps instantly and workflows

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are automated instead of managed by

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bloated org charts.

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We’re going to see companies at massive

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scale with headcounts smaller than

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traditional startups series A teams.

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And it’s happening soon. It’s happening

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right now.

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So, the next wave of giants won’t only

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come from places we already know.

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They’re going to come from there, too.

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But they’re also going to come from

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cities around the world that are

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overlooked, that are armed with AI, with

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global teams, and with the efficiency to

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scale faster than anyone ever thought

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possible. If you want to see these

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founders up close, subscribe and follow

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Scaling Across Borders. Subscribe to our

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newsletter. Subscribe to the channel

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you’re on because the future of scale

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isn’t where you’ve been looking. It’s

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everywhere.