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In the rapidly evolving AI infrastructure landscape, the bottleneck is shifting from raw accelerator performance to the system-level and economic frictions that prevent promising architectures from being widely adopted. While GPUs dominate today, a growing number of alternative accelerators face challenges not in hardware, but in deployment, orchestration, and scalable monetization. Addressing these barriers is where the next wave of innovation will define who can truly enable AI at scale. Companies that solve these structural adoption challenges will unlock disproportionate value in both enterprise and cloud environments.