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In the U.S. stock market’s AI industry chain, it is surprisingly hard to find a company like NVIDIA that simultaneously offers both high monopoly power and high growth. Therefore, truly good companies remain very scarce. Many companies in the AI industry chain have no moat at all, or their moat is not deep. For such companies, if you buy them you can only trade short-term, and short-term trading leaves very little room for error. Just as Buffett said, if you don’t plan to hold a stock for more than a year, don’t buy it.
@nvidia@JensenHuang
$NVDA
$AI This company is really lucky.I can actually get it. AI Such an important, meaningful and recognizable listing code. He has been doing it since https://t.co/Ujox5fPkdE empower enterprise business and provide corresponding software.Noah's ArkEnterprises use AI to make the company run more efficiently.This vision is really vicious.But as for whether the follow-up can develop better?It depends on whether he isCan constantly adjust their own according to the latest changes in AI.After all, now the battlefield of AIThe competition is fierce and cruel.
@C3_AI@TomSiebel
Every company in the U.S. AI sector is trying to tie more companies to itself; this is both a good thing and a bad thing.
It accelerates the transmission of changes across the industry chain and reduces the margin for error.
@JensenHuang@JeffBezos@BillGates