Monitoring Limits in DAO Governance: Capacity Breakpoints and Endogenous Concentration

TL;DR

This paper investigates how increasing proposal activity in DAOs can lead to governance concentration, as broader participation becomes overwhelmed, resulting in a shift of effective control to a smaller, highly active group.

Contribution

It provides empirical evidence of a capacity threshold in DAO governance where control shifts from broad participation to concentrated control, highlighting a 'too big to monitor' mechanism.

Findings

Significant decline in voter responsiveness after proposal activity exceeds a threshold.

Evidence of increased voting concentration as proposal flow grows.

Decentralization benefits diminish when governance workload becomes too high.

Abstract

Decentralized autonomous organizations (DAOs) are designed to disperse control, yet recent evidence shows that effective governance is often concentrated in a small number of participants. This note studies one simple mechanism behind that pattern. Because decentralized governance is monitor-intensive, rising proposal flow may eventually outpace the capacity of broad-based participation. Using a DAO--quarter panel, I estimate a fixed-effects kink model with DAO and quarter fixed effects and find a statistically significant decline in the marginal responsiveness of active voters once proposal activity crosses an interior threshold. I then study realized voting concentration using kink specifications with data-driven cutoffs. Across specifications, decentralization gains do not persist indefinitely once governance workload becomes sufficiently high, and load-based measures show especially clear evidence of a transition toward more concentrated realized control. The results provide reduced-form evidence consistent with a ``too big to monitor'' mechanism in DAO governance: when proposal flow grows faster than broad participation can keep up, effective control may drift toward a smaller set of highly active participants.