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• 5 min read
• Published on 25 July 2025
The New Landlords of the Digital Realm
For centuries, the path to serious wealth was paved with, well, paving stones. You bought land, you built on it, and you rented it out. Bricks and mortar were the ultimate assets. But I think we’ve all noticed the world has changed a bit. The new empires aren’t being built on solid ground. They’re being built on data. The new landlords don’t own property, they own information, and they’ve created a business model that would make a Victorian industrialist blush with envy.
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Let’s be honest, the most powerful businesses aren’t always the ones with the flashiest adverts. They are the ones that control something so essential that other businesses simply cannot function without it. Think about it. When you ask a bank for a loan, do they take your word for it that you’re good for the money? Of course not. They turn to the gatekeepers, the digital record keepers like Equifax or FICO.
These companies have spent decades building what I call unbreachable digital fortresses. They’ve collected so much financial data on all of us that creating a rival service from scratch is practically impossible. It’s like trying to build a new London Underground. The sheer history and scale of the existing network makes any competition a fool’s errand. This isn’t just a competitive advantage, it’s a monopoly on a fundamental piece of the economic puzzle. They own the tollbooths on the main road of modern finance, and every transaction has to pay the fee.
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For years, this data was merely very valuable. Then, artificial intelligence came along and turned it into something akin to rocket fuel. Every AI model, from the simplest chatbot to the most complex financial forecaster, is ravenously hungry for one thing: training data. And the better the data, the smarter the AI.
Suddenly, these old-school data hoarders found themselves sitting on the crown jewels of the new tech revolution. While Silicon Valley scrambled to find information to feed its new creations, companies like Verisk Analytics, which has cornered the market on insurance risk data, were already in an enviable position. They own the very thing everyone else now desperately needs. This could potentially supercharge their value, turning a steady business into a strategic asset in the AI arms race.
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What I find most compelling about this model is the sheer stickiness of the revenue. These companies don't really sell a product in a one-off transaction. They license access. They operate on subscriptions, creating predictable, recurring cash flows that are the stuff of investors' dreams.
The switching costs are astronomical. Once a bank has built its entire risk department around FICO scores, or a real estate firm depends on CoStar Group for market data, tearing it all out to try something new is a nightmare. It’s expensive, disruptive, and risky. So, they don’t. They just keep paying the rent. It’s this collection of digital gatekeepers that forms the basis of a compelling investment theme, a sort of portfolio of Digital Landlords, if you will. Of course, no investment is a sure thing, and risks always need to be considered. Regulatory bodies could take a closer look at these data empires, and technological shifts might one day present a challenge. But for now, these landlords appear to have a rather firm grip on their digital estates.
View the full Basket:Data Landlords
View the full Basket:Data Landlords
View the full Basket:Data Landlords
View the full Basket:Data Landlords
View the full Basket:Data Landlords
View the full Basket:Data Landlords
This article is marketing material and should not be construed as investment advice. No information set out in this article be considered, as advice, recommendation, offer, or a solicitation, to buy or sell any financial product, nor is it financial, investment, or trading advice. Any references to specific financial product or investment strategy are for illustrative / educational purposes only and subject to change without notice. It is the investor’s responsibility to evaluate any prospective investment, assess their own financial situation, and seek independent professional advice. Past performance is not indicative of future results. Please refer to our Risk Disclosure.
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