It’s definitely a useful tool that can help get an overview of the changes. Personally I can’t speak about the code-related stuff, but for proposal types that require more of an analytical perspective rather than technical, like Motion, PM&NA or SM&BN, AI has been useful for creating the tools that automate some of the tasks: fetching node, operator and datacenter records, reward tables, generating subnet maps, parse that data in a more friendly and readable fashion. I wouldn’t rely on 100% AI generated reviews to make an informed decision though, most of the job for these proposal types is to actually cross-reference the fetched data with other sources, or do external researches on Google and public registries. AI is just another tool that can be added to the toolbox and help save some time on repetitive tasks, but it can’t, and shouldn’t, replace the human factor entirely.
Having this said, it’s good to see that some are working on making proposals more approachable to a broader audience. ICP governance is quite complex and understanding all the nuances is not an easy task, those who invested in the protocol more than often lack the necessary skills to understand them, especially the technical ones (me being one of them, I can only get so far when it comes to changes that require a deep understanding of the code), so having a tool that can at least break down the complexities and give a superficial overview of what’s happening is a great step forward. We need less gatekeeping, and this means creating tools that make proposals more digestible for everyday investors too.