by winston » Fri May 29, 2026 2:12 pm
The Boom Loop
Start with the chips.
Nvidia put up another huge quarter -- almost $82 billion of revenue in a single quarter, more than ten times its revenue of three years ago (and guided to $91 billion for the next). Its CFO told the market AI infrastructure spending is now on track to reach three to four trillion dollars a year by the end of the decade.
Those chips have to be built.
Taiwan Semiconductor, which manufactures the most advanced ones in the world, reported a 20% jump in revenue in a single month and greenlit $45 billion in new capacity.
The chips can't compute without memory.
Micron posted $23.9 billion in its most recent quarter, up 196% from a year earlier, and guided to a record $33.5 billion quarter at margins near 80%. Moreover, Micron has already sold out its entire 2026 production of these chips, under binding contracts. This week, the valuation crossed $1 trillion.
The chips also produce oceans of data that needs to be stored.
SanDisk reported $3 billion in a quarter and then followed it with a $5.9 billion quarter — a near doubling of revenue in ninety days.
Then the data has to be organized and put to work.
This week, Snowflake (the data-cloud company) reported product revenue of $1.33 billion, up 34%, the strongest quarterly dollar growth in its history. It raised full-year guidance, signed a $6 billion infrastructure deal with Amazon, and told us the number of customers using its AI tools jumped from 9,100 to 13,600 in a single quarter. The stock rose 37% in a day.
The AI applications need a database to run on.
MongoDB just reported revenue up 25%, its cloud database growing 29%, as it positions itself as the working memory for the coming wave of AI agents. It raised guidance too. The stock trading up as much as 36%.
And all of it has to run on servers.
Today, Dell reported an AI server backlog of $43 billion, after AI-server revenue grew 342% last year. It raised its target for this year toward $60 billion. The stock rose 40%.
This is the boom loop we've been describing, broadening across the entire AI stack -- which should broaden across the entire economy.
Source: Forbes
It's all about "how much you made when you were right" & "how little you lost when you were wrong"