BofA says AI agent workloads could expand the server CPU market as money rotates out of single-name tech stocks

BofA says AI agent workloads could expand the server CPU market as money rotates out of single-name tech stocks

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News Editor
2026-07-23 03:22:54
Bank of America said in its latest research note that the server CPU opportunity could reach $170 billion by 2030, roughly four times its current size, as Nvidia rolls out its Vera CPU architecture and competes more directly with AMD on next-generation AI server platforms. The bank kept its Buy rating on Nvidia and reiterated a $350 price target. BofA argued that the key question in the next phase of AI infrastructure competition is shifting away from raw single-chip performance. The focus, it said, is now on how AI agent workloads should be measured: whether systems are optimized to complete an individual agent task faster, or to support a larger number of agents within the same rack. The call came as AI-related equities were seeing sharp rotation. The Philadelphia Semiconductor Index had previously fallen more than 20% from its high, entering technical bear market territory, before chip shares rebounded. BofA’s client flow data also pointed to a split market. Clients were net buyers of U.S. equities for a third straight week, but purchases were led by retail investors and ETFs, while single-stock selling continued. Technology saw its first outflow in three weeks, while money moved into consumer discretionary, financials, and energy.
Bank of AmericaNvidiaAMDAI agentsserver CPUETF flowstechnology stocksmarket rotation

Bank of America said in a new research note that the addressable market for server CPUs could reach $170 billion by 2030, about four times its current size, as Nvidia rolls out its Vera CPU architecture and competes more directly with AMD in next-generation AI server platforms.

The bank maintained its Buy rating on Nvidia and kept its $350 price target. In BofA’s view, the center of competition is no longer just about the performance of a single chip. The debate is shifting to how AI agent workloads should be evaluated: whether hardware should be designed to finish an individual agent task faster, or to run more agents within the same rack.

AI stocks are in a fast rotation phase

The note was published as AI-linked stocks were going through a period of rapid turnover. The Philadelphia Semiconductor Index had previously fallen more than 20% from its peak, putting it in technical bear market territory, though chip stocks later rebounded.

On Tuesday, U.S. equities moved higher with support from Micron and Nvidia, pushing the Nasdaq up 1.3%. By Wednesday, rising oil prices and higher U.S. Treasury yields weighed on risk appetite. The S&P 500 edged down 0.1%, while the Nasdaq fell 0.6%, with continued volatility in AI shares dragging on the broader market.

Clients are still buying U.S. stocks, but through ETFs

BofA’s client flow report showed clients were net buyers of U.S. equities for a third straight week, but most of the buying came from retail investors and ETFs.

Last week, clients bought $3.4 billion of equity ETFs while selling $3.1 billion of single stocks. Retail investors logged their biggest weekly buying since May 2025. Institutional clients were net buyers for a third consecutive week as well, but that demand was entirely driven by ETFs. Hedge funds, by contrast, sold stocks for a second straight week.

Technology posts its first outflow in three weeks

At the sector level, technology recorded its first outflow in three weeks, while communication services posted a third consecutive week of outflows. Money rotated into consumer discretionary, financials, and energy.

Small-cap and micro-cap stocks attracted notable buying. Their four-week rolling average inflow reached the highest level since BofA began tracking the data.

BofA’s longer-term view on the server CPU market continues to support the demand narrative around Nvidia, AMD, and the broader AI infrastructure supply chain. At the same time, the bank’s client flow data suggests trading is moving away from a simple “buy all AI winners” approach and toward screening for companies that can show orders, margins, and cash flow.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
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