Research organization Imec argues that scaling AI infrastructure effectively demands coordination between academic research, chip design, and fab operations — highlighting the systems-thinking needed to unlock next-gen semiconductor performance.
For chipmakers and enterprise architects, Imec's framing points to the need for tighter partnerships between materials science, EDA tooling, and production yields — all critical to meeting AI compute demand without hitting manufacturing bottlenecks.