Things I’ve Learned from Charlie Munger about Moats (2015)
25iq.com
25iq.com
But the poor organization and the repetition were very frustrating. The lede is buried in about half of the numbered points, obscured by increasingly repetitive connective tissue.
It started out as an interesting read and ended up quite annoying.
This is the main reason I'm terrified of AI: near as I can tell, it's a 'moatpocalypse.' ('Moaterdammerung'?)
I keep seeing posts voicing self-reassuring thoughts like "if you're not a low performer you're not at risk."
But this seems to miss the basic point. Let's say that AI never replaces humans and always augments them. (A wildly optimistic view, but I have to start somewhere.)
In this case, me+AI is now competing in a job market against Bob-who-learned-to-code-last-week+AI. That's twenty-plus years of experience that, up until this year, was a deep fscking moat (who else can recite iptables lore, write a safe bash script, and work in perl, python, C, C++, Typescript, etc?)
Today the answer to that question is "virtually anyone."
This means that my employment will hinge on questions of "cultural fit" rather than talent, which, yes, means that in general, there will be less tolerance for asshole behaviour (probably a net good.) So, no new Torvalds or Stallmans (Stallmen?) will be spawned. *But it also means* that mean-girls psychology is going to triumph. Employment will literally be a popularity-contest _Survivor_, as anyone can be replaced at any time, and their replacement will be good enough.
The brunt of this impact will be felt by those of us who are "diverse hires" --- why would you hire Susan, who is brilliant but no fun at parties, when you could hire Hank, who looks, sounds, and talks exactly like you, was best man at your wedding, and holds those wild keggers? Sure, Hank only knows rudimentary Python, but who the hell cares about that now?
ChatGPT implies the Triumph of the Bro.
Charlie Munger on Moats
1. Importance of moats: Durable competitive advantage, or moats, are crucial for long-term investing success. Moats are created by factors such as supply-side economies of scale, demand-side economies of scale, brand, regulation, and patents/intellectual property.
2. Buying moats at a fair price: Moats are important, but overpaying for them can hinder success. Value investing focuses on buying assets at a significant discount to their value.
3. Building moats is difficult: Identifying and creating moats is challenging, with no specific formula. Venture capital focuses on building moats, while value investing focuses on buying existing moats at discounted prices.
4. Widening the moat: Managers must focus on widening the moat and maintaining barriers to entry for competitors. Moats can be widened through acquisitions or innovation.
5. Competing against fanatics: Building and continuously widening a moat is essential to compete against devoted business owners and entrepreneurs.
6. Inversion approach: Moats may weaken over time, so it's important to consider what could cause their decline.
7. Moats can shrink: Increased buying power of companies like Walmart and Costco can impact moats, causing them to shrink.
8. Technological change: Disruptive technology can weaken moats or even cause businesses to disappear entirely.
9. Moats can be destroyed: The internet has weakened or destroyed moats of some businesses, such as newspapers.
10. Strong moats can lead to success: Some moats are so strong that even weak management teams can lead to business success.
11. Monopolies and moats: Owning monopolistic businesses with unregulated prices can be profitable, but true monopolies are rare. Moats vary in strength and size, and are constantly in flux.
12. Lollapalooza effect: Great moats tend to have more value than the sum of their parts, creating a "lollapalooza" effect.
> 1. “We have to have a business with some inherent characteristics that give it a durable competitive advantage.” Professor Michael Porter calls barriers to market entry that a business may have a “sustainable competitive advantage.” Warren Buffett and Charlie Munger call them a “moat.”
Or simply doing something that requires so much expertise that it requires tens of billions of dollars and decades for others to catch up, such as what TSMC/ASML/Apple/etc.
I'd be impressed if the GPT it can supply sources for quotes (ok I'm still impressed, but sources for facts is a weakness of it).
Building moat works when you can have large amounts of average employees and business you are in is proven.
Yes we need innovation, but if I look at what was going on with crypto/nft, I would say that was not worth much.
Besides if someone thinks that innovation is the only hard thing to do - sustainably running company with more than 50 employees for decades is already really hard thing.
Most innovation is capital intensive, even if that’s just hiring and paying the right people. Moats give you that, as well as room to be patient.
(I've half my money on growth, half on value - value is much easier to manage)
The other point to make is that innovation tends to either be not obvious or too obvious. Innovation at Tesla is 'too obvious' and hence the company has very high valuations and a low margin of safety for an investor. Amazon on the other hand had a lot of innovation in their business model but this wasn't very obvious to an outsider.
This is another great post by him:
https://25iq.com/2019/06/08/secrets-of-sand-hill-road-ventur...