I know there are issues with open source projects getting a lot of spam PRs from folks trying to fluff their contributions on their profiles. I can definitely see that getting worse with AI systems, but I haven't been in these communities enough to be familiar with that pain myself.
To deal with dependency churn, CVEs etc people have started setting up automatons to generate PRs. Those can generate a ton of them with minimal information about their real impact(unlike human PRs) and so going through them is not only a lot of work but the volume can be much greater. I'm certain people will begin adding LLM based automatons soon too.
Because of that I think the next big deal will be creating a separate class of changesets for machine suggested changes.
That's a super interesting take. The obvious thing is that the surface area of automation has improved and you can build a lot of tools to help with that, but you also need tooling to help deal with that overload of new automation - especially if your bandwidth is limited.