I have been thinking about how agentic AI tooling might quietly reshape software architecture over time. Because these systems are trained on what already exists, they are strongest when reproducing well-established patterns, which means the path of least resistance increasingly aligns with the mainstream. As agents move from generating code to influencing architectural decisions, we may see stronger convergence toward dominant cloud and distributed patterns, simply because they are statistically familiar. Innovation will still happen, but deviating from the corpus may carry a higher relative cost, since it requires shaping not only teams, but the tools themselves. I wrote a short reflection on what this could mean for architectural leadership in an agent-mediated world.