<ul data-eligibleForWebStory="true">RISC-V architecture gains attention for its flexibility and potential gradual adoption, despite not being perfect.The industry's historical reluctance to move away from traditional architectures hinders rapid evolution.RISC-V's versatility allows for slow migration and potential evolution, addressing diverse application needs.Recent RISC-V summit showcases increased industry adoption, particularly in newer application domains.RISC-V progress noted in automotive, HPC, AI, with companies like Infinium, Meta, and NVIDIA embracing it.Challenges in automotive industry include open architecture concerns; ecosystem development crucial for broader adoption.Differing opinions exist on RISC-V's suitability for AI applications, with some emphasizing customization and adaptability.RISC-V provides an opportunity for tailored processor designs for evolving AI workloads, offering flexibility and cost advantages.Ecosystem progress noted with RISC-V adoption in Linux distributions, mobile, and significant investments in chiplet architectures.RISC-V's potential as an evolutionary path, coupled with ecosystem support and ongoing advancements, sets stage for continued growth.