In the AGENESIS-2 simulation, modeled portfolio cost grew by about 2.76 times each time the agent portfolio doubled while the monitoring team stayed the same size. That corresponds to a scaling exponent of 1.466. A design that gave each agent its own check grew roughly in proportion to the portfolio.
What the result puts into focus
The useful question concerns the capacity of the oversight design. If agents expand faster than the ability to check their work, adding agents changes the operating conditions for the whole portfolio. A budget based on cost per agent can miss that interaction.
A CIO can use this as a reason to test several portfolio sizes before committing to a rollout. Measure the work required to review decisions alongside the consequences of missed errors. Examine whether the review process still works under the larger workload.
Correction and limits
The supplied executive brief describes 256 pre-registered simulation units. Independent verification identified 95 duplicate runs that differed only in a setting with no effect at most portfolio sizes. Correcting the arithmetic left the headline exponent at 1.466; one reported verdict changed.
These are simulation findings from the supplied study summary. This page does not establish an empirical scaling law for deployed enterprise agents. The raw ledger and full methodology are not included here. The accompanying explorer simply illustrates the reported exponent; it does not forecast actual costs.