AI demand is accelerating rapidly, with a 158x increase in tokens consumed monthly over two years and training compute (FLOPS) increasing 5x annually since 2020, driving a projected $2T total compute TAM by 2030.
The AI accelerator market is projected to reach $1.4 trillion by 2030, with data center AI accelerator and CPU TAMs growing at >45% and >50% CAGR respectively, and server CPU market forecasted to grow over 50% to $200 billion by 2030.
Inference workloads have surpassed training as the primary AI workload, with agentic AI expected to account for 60% of global AI compute in 2026 and further increasing compute needs.
AI is transforming industries including healthcare, manufacturing, finance, education, science, software, agriculture, and media, with workloads distributed across cloud, data center, client, and edge environments.
Collaboration, open ecosystems, and partnerships are emphasized as essential for scaling AI infrastructure and innovation.