---
title: "BofA Picks Its 'Top 2 AI Chip Stocks' for the Agentic AI Boom"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/287189301.md"
description: "Bank of America has raised its outlook for the server CPU market, naming AMD and Nvidia as its top AI chip picks. The market is expected to grow from $43 billion in 2026 to $125 billion by 2030. Analyst Vivek Arya highlights the increasing importance of CPUs in AI systems, predicting that AI infrastructure spending will expand, creating additional demand across the server market."
datetime: "2026-05-21T09:05:01.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/287189301.md)
  - [en](https://longbridge.com/en/news/287189301.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/287189301.md)
---

# BofA Picks Its 'Top 2 AI Chip Stocks' for the Agentic AI Boom

Bank of America (BAC) has raised its outlook for the server CPU market and named Advanced Micro Devices (AMD) and Nvidia (NVDA) as its "top AI chip picks," saying the growing use of agentic AI could create a much bigger opportunity for the server CPU market. The bank's top analyst Vivek Arya now expects the server CPU market to grow from about $43 billion in 2026 to roughly $125 billion by 2030, higher than its earlier forecast of $110 billion.

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The 5-star analyst said CPUs are becoming increasingly important as AI systems grow more complex. While GPUs remain critical for training AI models, newer agentic AI systems also rely heavily on CPUs to manage memory, coordinate tasks, retrieve data, and run multi-step workflows.

Infact, the bank described CPUs as becoming the "control plane" of AI inference.

## **Why BofA Likes AMD and Nvidia**

Arya expects AMD to continue gaining share in cloud and enterprise servers, while Nvidia could benefit from combining CPUs, GPUs, networking, and memory into full AI systems.

BofA also noted that AI infrastructure spending is expanding rather than replacing existing data center demand. New CPU-heavy systems designed for workloads like vector databases, AI agents, and retrieval systems could create additional demand across the server market.

At the same time, Arya expects AI accelerators to remain the largest part of AI infrastructure spending, with the broader AI data center market potentially reaching $1.7 trillion by 2030.

It is worth noting that Arya ranks 94 out of more than 12,000 analysts tracked by TipRanks. He has a success rate of 64%, with an average return per rating of 27% over a one-year timeframe.

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