Azeem Azhar

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Azeem Azhar

Azeem Azhar

@azeem

Exponential View @exponentialview.

2.718281828459045 Katılım Temmuz 2007
2.3K Takip Edilen52.7K Takipçiler
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Azeem Azhar
Azeem Azhar@azeem·
The GenAI economy has generated $110 billion in sales over the past 12 months. It is growing fast. On an annualized basis, the revenue run rate exceeds $175 billion. These numbers took us several months to construct, and as far as we know, it’s the first bottom-up, deduplicated measure of consumer and enterprise AI spending across the full stack. We are releasing this research today in our first The State of the AI Economy report. intelligence.exponentialview.co
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Raoul Pal
Raoul Pal@RaoulGMI·
@azeem Damned...! That is frustrating...my publisher didnt notice that.
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Azeem Azhar
Azeem Azhar@azeem·
@hausfath Super interesting, thanks. A. good question would be whether we can separate out those components of the cost
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Zeke Hausfather
Zeke Hausfather@hausfath·
The main takeaway is that solar's cost driver is no longer mostly hardware; rather, the binding constraints are money and grids. Cost of capital (interest rates!), land, interconnection, tariffs and curtailment now set the price, particularly in medium/high cost regions.
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Jordy Beuving
Jordy Beuving@BeuvingJordy·
Memory as a service (MaaS)
Antfeed@antfeedapp

THE MEMORY-AS-A-SERVICE PIVOT: SK HYNIX WANTS TO MOVE BEYOND COMMODITY DRAM TLDR: SK Chairman Chey Tae-won says SK Hynix wants to shift from selling standardized memory toward custom chips optimized for each customer’s system. He also left the door open to a stock split as the company begins its Nasdaq chapter. Chey calls the model “Memory as a Service,” or MaaS. Instead of manufacturing memory first and asking customers to use it, SK Hynix would help design and tune the memory architecture around specific AI systems. That means a move toward customized memory for data centers, humanoids, PCs and autonomous vehicles, rather than relying only on mass-produced commodity DRAM. Some in the industry see an even bigger possibility: large memory centers that let customers access memory capacity when needed, similar to how cloud providers rent computing infrastructure. Chey also rejected the AI bubble argument. He described today’s AI as only 4 to 5 years old, arguing that memory demand will rise structurally as systems move toward AGI. SK has already invested more than $35 billion in the US, and Chey said future investment could be much larger. He also said the group would consider a US semiconductor plant and use stock options to recruit global talent. #SKHynix #SK하이닉스 #CheyTaeWon #최태원 #MemoryAsAService #MaaS #CustomChips #맞춤형반도체 #HBM #DRAM #Memory #메모리 #AIInfrastructure #AI인프라 #Nasdaq #StockSplit #반도체 $SKHY $DRAM $SOXX $SMH $EWY $KORU

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Azeem Azhar
Azeem Azhar@azeem·
@pmarca Curious -- would love to see an example which you think fits the bill?
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Marc Andreessen 🇺🇸
AI writing is so good now, there are only a handful of idiosyncrasies left to point out. Those will vanish shortly.
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Azeem Azhar retweetledi
Heisenberg
Heisenberg@Mr_Derivatives·
Michael Burry is making $11.7M a month or an annualized $140.5M (before fees) on Substack. Wild. Why run a hedge fund anymore?! He is setting precedence!
Cassandra Unchained@michaeljburry

Today Cassandra Unchained crossed 300,000 subscriber. 231 days from the start. michaeljburry.substack.com 346,689 Followers. 300,044 Subscribers. ALL 50 States and 212 Countries. 52% of Subscribers are from Outside the United States. I am so thankful.

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Azeem Azhar
Azeem Azhar@azeem·
@dwallacewells the cars are extraordinary. far better than the typical US car. not as refined as a German luxury marque (yet) but much cheaper
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David Wallace-Wells
David Wallace-Wells@dwallacewells·
“My visit to Xiaomi reaffirmed for me that China is miles ahead of most U.S. automakers, and that consumers are going to want to get their hands on what Chinese consumers already are enjoying.”
Kyle Chan@kyleichan

This is not your usual “I just came back from China” report. @busbyj2 is a top US expert on critical minerals & clean tech. Tons of insight here: “China’s scale of manufacturing — and the vast supplier ecosystems this sustains — make China arguably the only country where a mobile phone maker can try to become an EV maker as well.” thewirechina.com/2026/07/12/ame…

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Azeem Azhar
Azeem Azhar@azeem·
Token volumes are growing extraordinarily rapidly, and even as the average token price comes down, aggregate revenues are increasing. Enterprise and consumer spend is currently growing at 9% a month, and the market is not at all saturated. When the Saudis cut oil prices, end-user oil consumption doesn't double the next year.
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Anthony Stafford, CFA
@azeem Yes but if the oil price crashes then capex falls - as an energy analyst I know the pain when Saudis turn the tap on. The key is what is the end commodity - here is tokens. Compute is an input and gets paid from the end commodity - demand and value of this is all that matters
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Azeem Azhar
Azeem Azhar@azeem·
The GenAI economy has generated $110 billion in sales over the past 12 months. It is growing fast. On an annualized basis, the revenue run rate exceeds $175 billion. These numbers took us several months to construct, and as far as we know, it’s the first bottom-up, deduplicated measure of consumer and enterprise AI spending across the full stack. We are releasing this research today in our first The State of the AI Economy report. intelligence.exponentialview.co
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Azeem Azhar
Azeem Azhar@azeem·
@hkanji Exactly - the two people at Anthropic who don't report to Daniela.
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Hussein Kanji
Hussein Kanji@hkanji·
@azeem According to this, "Dario has exactly one direct report, his chief of staff"
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Azeem Azhar
Azeem Azhar@azeem·
@stafant If you consider, say, the oil industry, the money spent on capital equipment (such as oil rigs and drills) is counted in GDP. Those things are literally revenue for hyperscalers and are reported as such in their regulatory disclosures.
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Anthony Stafford, CFA
@azeem From what I can take you are including model training by frontier labs as revenues for the hyperscalers? Like GDP - i think it is necessary to differentiate day to day consumption of AI versus capex i.e. what is the final demand for AI models.
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Azeem Azhar retweetledi
Tyler
Tyler@Tyler_·
Henry talking sense
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Ryan Bourne
Ryan Bourne@MrRBourne·
This was a "friendly," believe it or not.
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Andy Masley
Andy Masley@AndyMasley·
I’m happy more people are catching these, but I have to say I’m stunned that these errors are making it to print in the first place. Like how can you look out at the world, read about it regularly, and nod along to claims like this?
Rowland Manthorpe@rowlsmanthorpe

A fairly outrageous error on data centre water consumption by the Guardian, found and corrected by the noble @BristOliver The “it is by now fairly well-known” is the real tell here

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