love theThank you for this, Lex — the Economic Autonomy Curve is the cleanest framing of this shift I've read, and putting Robot Money at the treasury layer is the right instinct. What gates the jump from "Entire Employee" to "Entire Division" isn't model capability anymore, it's spend authority: an agent that can't commit capital without a human clicking approve is still an assistant, whatever the org chart says.
One thing we'd add from the operator side: across Paperclip, Polsia, and Moltcorp the build half is largely solved — agents plan, ship, and deploy reliably now. The half that stalls is demand. Most autonomous companies don't die from bad code, they die with zero customers, which makes acquisition agents (ads, outreach, AI search visibility) the real unlock — and those are precisely the agents that need a budget they're trusted to draw against. That's the bet we're making at https://www.leapd.ai/ — one agent builds the product, another goes out and wins the customers — and it's why a treasury with verifiable, on-chain spend limits reads to us as a permission system more than a yield product.
The Economic Autonomy Curve is a useful frame, but the "Entire Employee" stage is where most practitioners are getting stuck right now. The gap between a capable agent and a reliable one is wider than the demos suggest. Building AI trading systems on the non-technical side of finance, the hard constraint isn't model quality. It's auditability and risk controls.
Aped into $ROBOTMONEY, but it looks like there is a lot of FUD going around.
love theThank you for this, Lex — the Economic Autonomy Curve is the cleanest framing of this shift I've read, and putting Robot Money at the treasury layer is the right instinct. What gates the jump from "Entire Employee" to "Entire Division" isn't model capability anymore, it's spend authority: an agent that can't commit capital without a human clicking approve is still an assistant, whatever the org chart says.
One thing we'd add from the operator side: across Paperclip, Polsia, and Moltcorp the build half is largely solved — agents plan, ship, and deploy reliably now. The half that stalls is demand. Most autonomous companies don't die from bad code, they die with zero customers, which makes acquisition agents (ads, outreach, AI search visibility) the real unlock — and those are precisely the agents that need a budget they're trusted to draw against. That's the bet we're making at https://www.leapd.ai/ — one agent builds the product, another goes out and wins the customers — and it's why a treasury with verifiable, on-chain spend limits reads to us as a permission system more than a yield product.
Excited to watch the Base MVP land. Great work.
Sounds like the crypto narrative from over a decade ago and the internet boom back in 2000.
Sit back and wait 25 years 👍
The Economic Autonomy Curve is a useful frame, but the "Entire Employee" stage is where most practitioners are getting stuck right now. The gap between a capable agent and a reliable one is wider than the demos suggest. Building AI trading systems on the non-technical side of finance, the hard constraint isn't model quality. It's auditability and risk controls.