Why Jane Street Makes More From Claude Than Anthropic Does - Dylan Patel
44 segments
What if the AI models were literally as
good as a fully automated software
engineer? They're not currently there
yet, right? Like I think they're far
from just being able to fully automate
the job of like a full white-collar
worker. But white-collar workers earn,
you know, six figures or north of that a
year. And if you have a gigawatt that
can sustain a population of like, say, a
million white-collar workers, then off
the back of that you'd be many hundreds
of billions of dollars if you get like
full AGI per gigawatt.
>> I think the other aspect of this is most
of the value that these models generate
does not get given to Open AI and
Anthropic. Thankfully so far, it is
mostly just being given to the users.
>> Yeah, yeah.
>> Right? Jane Street, where they're like
one of Anthropic's biggest customers, is
generating way, way, way, way more value
out of the tokens they're paying for
than Anthropic is
uh generating in terms of profit. Or
Meta, who at one point was rumored to
be, you [music] know, as much as 10% of
Anthropic's business, they're generating
way more efficiencies by optimizing
their ad algorithms or what have you and
and getting engagement time 5% longer
and, you know, all these things. They're
making way more money off of using these
models than Anthropic. And so the
ultimately Sure, if you had a million
new software engineers, the cost per
software engineer would also fall. It
wouldn't be a pure
>> If you only had a software engineers and
not other type types of labor
>> but that's every kind of laborer, right?
That's the that's the whole point of AGI
is it collapses the value of labor.
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The video discusses the potential economic impact of AGI, suggesting that while AI is not yet a full replacement for human workers, its ability to automate tasks could lead to massive value creation. The participants emphasize that the primary beneficiaries of AI models are currently the users—such as large companies—who generate significantly more value through efficiency gains than the AI providers make in profit, ultimately leading to a potential collapse in the value of human labor.
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