Oct 4, 2026 · 6 min · 7 segments
The White House has appointed Jay Clayton to lead a comprehensive review of super intelligence policy as infrastructure investments surge. Meanwhile, Apple and OpenAI are deploying new safeguards for…
The White House has appointed Jay Clayton, former SEC chairman, to lead a one hundred and twenty-day super intelligence policy review.
Oh yeah, I saw that.
So basically, they're trying to figure out all the opportunities and, uh, the structural hazards and where the regulations should even be for advanced AI.
It sounds like a pretty significant federal push to get a handle on this stuff.
Exactly.
And it makes sense, right? As AI gets more advanced, the government really needs to step in and try to map out the landscape before things get too out of control.
This review could seriously impact a lot of tech sectors.
For sure.
Apparently, it's surging, but there's some scrutiny about venture and cloud returns given the massive build-out that's happening.
Right.
So it's this interesting tension where companies are pouring billions into building the foundational tech for AI, but the actual revenue from it isn't quite matching the pace yet.
It's a financial sustainability question for sure.
That's a great point, Jordan, and that kinda ties into another story about the AI economy splitting.
We're seeing unit costs for basic AI applications dropping rapidly, but the capital needed for these huge cutting-edge models is still soaring.
Yeah, that bifurcation is really interesting.
It means competition is getting fiercer, especially for high-quality training data.
You're seeing more companies focusing on things like retrieval-augmented generation to make the most of what they have.
So it's not just about building bigger models anymore, but also about being smarter with the data and the existing tech.
The White House has appointed Jay Clayton, former SEC chairman, to lead a one hundred and twenty-day super intelligence policy review.
Oh yeah, I saw that.
So basically, they're trying to figure out all the opportunities and, uh, the structural hazards and where the regulations should even be for advanced AI.
It sounds like a pretty significant federal push to get a handle on this stuff.
Exactly.
And it makes sense, right? As AI gets more advanced, the government really needs to step in and try to map out the landscape before things get too out of control.
This review could seriously impact a lot of tech sectors.
For sure.
Apparently, it's surging, but there's some scrutiny about venture and cloud returns given the massive build-out that's happening.
Right.
So it's this interesting tension where companies are pouring billions into building the foundational tech for AI, but the actual revenue from it isn't quite matching the pace yet.
It's a financial sustainability question for sure.
That's a great point, Jordan, and that kinda ties into another story about the AI economy splitting.
We're seeing unit costs for basic AI applications dropping rapidly, but the capital needed for these huge cutting-edge models is still soaring.
Yeah, that bifurcation is really interesting.
It means competition is getting fiercer, especially for high-quality training data.
You're seeing more companies focusing on things like retrieval-augmented generation to make the most of what they have.
So it's not just about building bigger models anymore, but also about being smarter with the data and the existing tech.
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