I see massive potential here for addressing Arbitrum’s core governance bottlenecks.
Our current governance is painfully bureaucratic and slow. Agents can support meaningful participation from key contributors while dramatically reducing governance overhead costs.
The infrastructure around AI governance could make our entire SOS process significantly smoother. There’s substantial value waiting to be captured through better coordination and decision-making tools.
I see two distinct paths here and both are very interesting to me:
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AI Voting Agents: I agree with @daveytea that we should deploy multiple agents with lower voting power rather than single high-power agents. This approach allows us to better understand decision variance, prevents single points of failure, and creates a more robust governance signal by observing how different AI approaches converge or diverge on complex issues. Those Agents shouldnt be paid as humans from the delegate incentive programs, but there should be a similar process to reward the most outstanding ones.
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AI Decision Support: This infrastructure should be developed as a service provider model to make participation radically easier for key stakeholders. The goal is delivering what busy contributors need - visually clear, digestible information that allows them to engage meaningfully in minimal time.
Our governance has such high barriers to entry that crucial stakeholders simply can’t participate. This is exactly why SOS is paused. We need infrastructure that lets busy, high-value contributors spend 10 minutes and deliver massive governance value rather than requiring hours of research just to understand basic proposals.