A recent Linux Foundation Research study reveals that 59% of open source maintainers are experiencing a growth in contribution volume due to generative AI. However, this surge comes with a challenge, as an estimated 25% of incoming pull requests are deemed low-quality "AI slop." On larger projects, this quality concern is even more pronounced, with 69% seeing increased contributions and 31% estimated as low-quality. Generative AI is fundamentally altering open source participation by lowering contribution barriers, but it also introduces new challenges for maintainers and communities. The study recommends building governance, transparency, and trust mechanisms to manage AI-assisted contributions effectively. Open source projects must proactively design for an expanding AI-generated contributor base, not just react to it. This includes setting clear expectations for AI use, placing responsibility for testing and disclosure on contributors, and equipping maintainers with better tools for managing pull requests. While AI makes it easier for newcomers to contribute, reviews are taking longer, and maintainer burnout is a top concern. Currently, formal policies on AI use in open source projects are inconsistent, with many lacking clear guidelines. Despite the quality concerns, most maintainers agree that AI reduces barriers to entry for open source. Developers are reinvesting saved time into addressing technical debt, developing new features, and upskilling. Finally, the study highlights that GenAI actually increases the need for human mentorship for new contributors.