38,000 companies are hiding in plain sight. Here is the AI system to find them
38,000 companies are hiding in plain sight. Here is the AI system to find themConstellation compounded 34% for 20 years buying companies nobody noticed. The AI system to find them first
In 1969, a man who rented out funeral-home limousines at night bought Warner Bros. Steve Ross paid the equivalent of $3.5 billion in today’s dollars for one of the great movie studios. He funded it with the most boring companies imaginable: parking lots, rental cars, cleaning, plumbing, flooring. None had a moat. Any competent operator could have bought the same businesses. Almost nobody did. By 1990, Ross took home a $78 million pay package, the largest of any executive in America that year, built on a foundation of parking garages. That is the puzzle. And it pays better today than it did then. Take Constellation Software. Since its 2006 IPO, it has compounded returns at roughly 34% a year, over 16,000% cumulatively. Berkshire Hathaway managed about 11% a year over the same window.
How? By buying software nobody wanted: marina management, ski-lift ticketing, library cataloging. Deal sizes often under $5 million. It has bought 800+ of them, generates $8.4 billion a year, and estimates 38,000+ more are still out there. Read that last number again. Thirty-eight thousand. One acquirer, one narrow slice of one industry. These companies share a single trait, named in a July 2026 essay by strategy scholars Jay Barney, Haiyang Zhang, and Jerry Neumann: they are invisible. Not protected by patents, scale, or secrets. Just unnoticed. The data hides inside sector averages. The companies sit outside the networks where investors trade ideas. The whole category reads as too small, too boring, or too low-status to bother with. Nobody looks, so nobody competes. Nobody competes, so the profit persists. The reward for being overlooked is the profit itself. Here is the free insight, and it is the exact tension those authors end on: AI could kill invisibility, or hardcode it deeper. If every investor’s models train on the same datasets and the same “big market, fast growth, novel technology” frameworks, the blind spots get baked into the machine and the neglect gets worse. Which flips the whole game. The edge no longer goes to whoever has the best data. It goes to whoever points AI at what the consensus screens out. Almost nobody has built that system. Below is the one I would run, seven prompts and a weekly loop that turns a laptop into a sourcing desk aimed at the profit hiding in plain sight. Behind the paywall, the complete Invisible Company Finder:
One subscription unlocks every systemThis is one build in a growing library. Premium opens all of them: ▫️ The Business and Investing library ▫️ The AI Tools and Models library Plus 3 fresh systems every week. One sourced deal pays the subscription back for life. π The Invisible Company FinderThe four-mechanism map, seven copy-paste prompts, the neglect scorecard, the thesis builder, and the weekly hunt loop, in one system. Get The Invisible Company Finder below πTry premium free for 7 days. Or get 50% off this week only... Keep reading with a 7-day free trialSubscribe to The AI Corner to keep reading this post and get 7 days of free access to the full post archives. A subscription gets you:
|
Comments
Post a Comment
VHAVENDA IT SOLUTIONS AND SERVICES WOULD LIKE TO HEAR FROM YOUπ«΅πΌπ«΅πΌπ«΅πΌπ«΅πΌ