What it means
The Accountability Rent is a theory about where the money goes when thinking gets cheap. If AI collapses the price of cognition, the argument runs, value does not disappear from the firm. It moves to the factor AI cannot supply: the standing to answer for an outcome that cannot be undone.
The theory makes a sharp claim about the shape of that rent. It should rise faster than the irreversibility of the decision. Review before commitment should lose money on reversible decisions and cross zero at some level of irreversibility. Past that point it should pay more steeply. A firm would then meter its oversight by how hard a decision is to reverse.
The lab turned that claim into a pre-registered test, SIGIL. An AI worker approved or rejected synthetic firm decisions across five irreversibility tiers, 30,000 episodes in all, with a second AI in the seat of the reviewer. The predicted crossing appeared in 0 of 12 registered series. At the top tier, plain review lost 2.64 per decision against no oversight, and review with a liability ledger lost 3.81.
So the empirical leg failed in the one place it was tested, and the lab published it as a refutation. The wider thesis about where value goes has not been tested by a campaign.