Image Generated With GPT Image 2.0 AI Is Bringing Memory Back The semiconductor memory industry has always moved in cycles of strong demand, capacity expansion, oversupply, and correction. What makes the current cycle different is the scale of AI-driven demand, which is pushing memory back to the center of semiconductor growth. AI infrastructure requires far more memory than traditional computing platforms, with HBM, server DRAM, and enterprise SSDs becoming critical for training and inference workloads. As a result, memory is no longer viewed only as a supporting component, but as a key factor in system performance, power efficiency, and infrastructure cost. The current memory upcycle is therefore more than a pricing recovery. AI is reshaping the strategic importance of memory, influencing capacity allocation, and changing the forces behind the