How will agent governance evolve as models become more capable?

Answer

Three pressures:

1. Scope expansion — as agents handle higher-stakes tasks, governance requirements intensify.
2. Speed requirements — as agents operate faster and more autonomously, governance shifts from human-review to automated-policy-enforcement.
3. Complexity — multi-agent systems and cross-organizational interactions create combinatorial challenges. The platforms that survive will govern agents they've never seen before, using policies defined in terms of outcomes rather than specific behaviors. This is the transition from rule-based to principle-based governance.