Key Highlights
- Bank of America increases 2030 server CPU market projection from $110B to $125B
- AMD and Nvidia identified as BofA’s premier AI semiconductor selections
- Server CPUs emerging as critical “control plane” for agentic AI inference operations
- ARM-based custom processors from AWS, Google, and Microsoft projected as fastest-expanding category
- Nvidia’s Q1 FY2027 revenue reached $81.6B, representing 85% year-over-year growth
Bank of America has significantly elevated its projection for the server CPU marketplace to $125 billion by decade’s end, representing a substantial increase from its previous $110 billion estimate, while simultaneously designating AMD and Nvidia as its preferred semiconductor investments positioned to capitalize on this transformation.
This revised forecast stems from the emergence of agentic AI — intelligent systems capable of planning operations, extracting information, maintaining memory states, and executing complex multi-stage processes. According to BofA analyst Vivek Arya, ranked 94th among over 12,000 analysts monitored by TipRanks, these advanced AI architectures require substantially greater CPU resources than their predecessors.
The financial institution anticipates a robust 31% compound annual growth rate for server processors from 2026 through 2030, launching from an approximate $43 billion baseline.
The Growing Significance of CPUs in Artificial Intelligence
Throughout the initial AI revolution, graphics processing units dominated the computational landscape for model training. However, as artificial intelligence architectures grow increasingly sophisticated, central processing units are assuming critical responsibilities including task coordination, state management, and integration with database and retrieval infrastructure.
Bank of America characterizes CPUs as the “control plane” for AI inference operations, indicating their role as the orchestration framework ensuring seamless agentic AI functionality.
The institution emphasizes this development doesn’t diminish GPU requirements. Rather, it signals an overall expansion of data center infrastructure. Novel CPU-dedicated server configurations are anticipated to manage workloads that GPU-based systems cannot address economically.
AMD and Nvidia Emerge as BofA’s Top Recommendations
Bank of America retains Buy ratings for both companies, establishing a $500 price objective for AMD.
AMD is projected to capture approximately 28% of server CPU value by 2030, with anticipated expansion across both cloud infrastructure and enterprise markets. Nvidia receives favorable positioning due to its comprehensive capability to integrate processors, graphics units, networking components, and memory into complete AI ecosystems.
Nvidia’s forthcoming Vera CPU, scheduled for deployment with its Vera Rubin platform during the latter half of 2026, is anticipated to operate in tandem with GPUs at nearly equal ratios within next-generation AI server configurations.
ARM-architecture custom processors, encompassing AWS Graviton, Google Axion, and Microsoft Cobalt, are forecasted as the most rapidly expanding category, climbing from approximately 15% of current server CPU value to roughly 37% by 2030. Intel faces expected market share erosion in both cloud and enterprise sectors.
Nvidia’s latest financial performance substantiates the CPU trajectory. The corporation disclosed Q1 Fiscal 2027 adjusted earnings per share of $1.87, surpassing Wall Street’s $1.75 consensus. Revenue totaled $81.6 billion, marking an 85% year-over-year increase.
Notwithstanding the robust expansion forecast, server CPUs are still projected to constitute merely 5 to 6% of aggregate data center expenditure by 2030. AI accelerators are expected to maintain dominance within the broader AI data center market, which BofA estimates will reach $1.7 trillion.
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