Joey Brookhart
Analyst, SemiAnalysis
Titles as the sources gave them. In 2 entries, with 6 checked quotations.
What they said
Newest first. Each quotation was found word for word in the source.
“to get to a trillion I think we do have to move some of that white collar work and where it's more of AI's augmentation to labor saving or replacement in some areas.”
Speaker known from context, not confirmed by listening
“only the coders are allowed to use the frontier models at a lot of these enterprises”
Speaker known from context, not confirmed by listening
“To get to $1 trillion, we do have to move to some of that white collar work, where it goes from AI augmentation to labor saving or replacement in some areas.”
“Anthropic had negative 94 percent gross margins on inference two years ago. Now they have a positive 85 percent margin”
“People don’t realize this, but only about 30 percent of the compute is actually in inference-serving revenue. The rest is for experimentation and research, training models, and post-training models.”
“Is there going to be some timing or adoption mismatch where we just don’t get the revenue at a certain point of time to justify that chase of “train and compute towards AGI”? That’s a risk.”
In the Base
Every entry they appear in.
Inside Anthropic’s trillion-dollar AI gamble
In a 45-minute Decoder episode, Nilay Patel and SemiAnalysis analyst Joey Brookhart go through Anthropic's IPO filing: its margins, compute commitments, competition from OpenAI and open models, and the risk that revenue lags the spending on AGI.
Anthropic is asking Wall Street to believe in AGI
The Verge publishes the edited transcript of a Decoder interview in which SemiAnalysis analyst Joey Brookhart reads Anthropic's IPO filing (S-1) as showing strong margins, and argues that a $10 trillion valuation depends on automating white-collar work.