Tesla Superconsumers Are Making MillionsâBecause They Have An Information Advantage Wall Street Doesnât
They don't call them "Teslanaires" for nothing.
Arrrrr! đ´ââ ď¸ Welcome to a đ subscriber-only edition đ of Category Pirates. Each week, we share radically different ideas to help you design new and different categories. For more: View the mini-book archive | Listen to a category design jam session | Dive into an audiobook | Enroll in the free Category Accelerator email course
Dear Friend, Subscriber, and fellow Category Pirate,
Tesla shorts lost $38 billion dollars in 2020âmany of whom are quite famous and experienced investors like Jim Chanos who famously shorted Enron before it collapsed.Â
Credible business publications like the Wall Street Journal and CNBC have had opinion writers like Charley Grant repeatedly predict the doom and gloom of Tesla, despite the fact that TSLA stock rose 7x in 2020. For example, Charley Grant went on CNBC on July 25, 2019 and said the days of Tesla as a growth darling are numbered.Â
This was shortly after one of us Pirates (Eddie Yoon) went on CNBC on June 11, 2019 and said that Tesla would bounce back like Netflix did in 2011.Â
Many retail investors who were bullish early on Tesla have reaped the benefits of the $38 billion dollar short loss. So much so, that near the end of 2020, Bloomberg called these successful Main Streeters âTeslanaires.â
In a time where income inequality has never been higher, Teslaâs mid 2019 to 2020 stock performance may represent the single greatest transfer of wealth from Wall Street to Main Street.Â
Which begs two questions:
How was it that âWall Street expertsâ were so wrong about Tesla?
And how is it that so many âMain Streetâ investors were so right?
The truth is, itâs very difficult for Wall Street to value Category Creators, who by definition blur the lines of current categories while pursuing strategies and business models that are so radically different it can confound âexpertsâ in legacy categories. When there are no comparison companies, no pattern recognition, Wall Street analysts do not know how to âmodelâ the businessâand as a result, assume it is overvalued.
It is also the case that much of Wall Street is risk averse, pursuing legacy M&A strategies of consolidation and stripping out âsynergiesâ (e.g., cost cutting) opposed to M&A that accelerates new categories. The former is easier to calculate. The latter, through their eyes, edges on speculation.