Rising demand for agentic AI is expected to drive a significant increase in chip spending, according to analysis from Morgan Stanley.
Analysts estimate agentic AI could add “$32.5 billion to $60 billion” to the data-centre CPU market by 2030, reflecting a shift in how companies build artificial intelligence infrastructure.
Executives are facing a familiar business challenge. Invest early in emerging technology or risk falling behind competitors. Companies are choosing expansion, committing more resources to computing infrastructure.
The shift signals a change in AI development priorities:
• Growing investment in CPUs
• Expansion beyond GPU-focused infrastructure
• Increased data-centre construction
Companies previously concentrated on graphics processors. Now, they are diversifying computing architectures to support AI systems capable of acting independently.
This trend mirrors earlier technology cycles. When cloud computing expanded, businesses invested heavily in servers and networking infrastructure. Agentic AI is creating a similar demand for broader hardware ecosystems.
The implications are significant. Companies that secure computing capacity early may gain a competitive advantage. Hardware supply could become a limiting factor for AI development.
What happens if infrastructure demand outpaces supply? Organisations may face delays in deploying advanced AI systems. Investment decisions today could shape industry leadership tomorrow.
AI is entering a new phase. Infrastructure spending is rising, and companies are preparing for systems that operate with greater autonomy.
Author: Pishon Yip