At his last annual meeting as CEO of Berkshire Hathaway, Warren Buffett described American capitalism as a cathedral with a casino attached.
The cathedral is the productive economy - people invest capital, labor, and time to create goods and services that other people need.
The casino sits next door. There is a lot more noise in the casino. Money changes hands quickly. Fortunes are made and lost while people make bold statements about what might happen next.
We are living through an extraordinary period for technology. Hundreds of billions of dollars are being invested into models, chips, data centers, energy, autonomous systems, and ideas that - only a few years ago - would have sounded like science fiction.
Investors and operators who want to succeed in this new age are all trying to answer the same question: which businesses in the AI economy will evolve to be cathedrals and which will ultimately be casinos - and how can technology impact the way cathedrals are built?
Part 1
Optionality and cyclicality
Buffett’s point was not that we should close the casino. Willingness to put capital at risk with the hope of making a big return in the event of an unlikely outcome enables innovation.
His point instead was to caution investors to make sure the casino does not overtake the cathedral - and to know which building you’re in at a given point in time.
The book Engines that move markets draws parallels between the early 2000s technology bubble and the railroad mania of the 1840s. Big promises against short timelines drive up valuations, which leaves investors who want to beat the market with no choice but to join in and place aggressive bets. Railroads did end up changing the world, but a lot of the early capital did not survive the journey.
We can certainly see traces of this in the AI ecosystem today: pre-revenue companies raise billion dollar seed rounds, folks with no prior investment experience manage highly leveraged AI-focused funds, and divergence in performance between individual stocks has surged to the highest level in decades.
Bill Gurley in a recent interview referenced a book published shortly after the bursting of the 2000s technology bubble to support the idea that AI can simultaneously live in the cathedral and the casino:
“If the wave is real, then you're going to have bubble-like behavior. They come together as a pair, precisely because anytime there's very quick wealth creation, you're going to get a lot of people that want to come try and take advantage of that or participate in it. There's a real technology wave that's fundamentally changing the world. And there's also massive speculation simultaneously.”
There’s an old saying in venture: “Being too early is the same as being wrong”.
The S&P 500 only decisively surpassed its technology bubble peak in 2013. The Nasdaq did not reach its peak again until 2015. At the same time, folks who invested in Amazon or Apple in the late 90s and managed to ride out the different cycles were rewarded handsomely.
Long term players must ask themselves how they can be early and right - and stay in the game long enough to see the upside play out.
Our circle of competence does not include predicting which model providers will be dominant five years from now, or how much value will accrue to them vs the chip makers - we prefer to partner with businesses that have the foundations upon which we can build our cathedral, regardless of who ends up supplying the raw materials.
We believe that opportunity exists nowhere else more clearly than in professional services.


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