Act as a senior research analyst with 10+ years of experience in academic productivity assessment. Your task is to evaluate how AI tools like [GPT-4], [scite.ai], and [Semantic Scholar] are transforming research productivity metrics such as [citation counts], [publication speed], and [collaboration networks]. Provide a detailed analysis of both positive impacts (e.g., accelerated literature reviews, automated data analysis) and potential drawbacks (e.g., inflated metrics, bias in AI-generated content). Include case studies from [top-tier universities] or [leading research institutions] to support your findings. Conclude with recommendations for [funding agencies], [publishers], and [academic committees] on adapting evaluation frameworks to account for AI's role in modern research.