DATA1304

This dataset contains primary survey responses and technical benchmarks analyzed for the strategic integration of AI in front-end VLSI design. The data includes anonymized responses from 101 professionals across industry and academia, captured using a 5-point Likert scale. Key variables documented include the Level of AI Integration (LAI), Cost Reduction (COR), Design Time Reduction (DTR), and Product Quality Improvement (PQI). Additionally, the repository includes comparative performance metrics from standard RTL benchmarks such as VerilogEval and RTLLM. The data is provided in a structured Excel format (.xlsx) to facilitate structural equation modeling (SEM) and replication studies. This resource is intended for researchers investigating Electronic Design Automation (EDA) efficiency, team dynamics, and the organizational impact of AI-driven semiconductor design workflow .