AI Agents Drive CPU Demand Surge: Why Domestic Chip Makers Are Finally Getting Their Moment

The semiconductor (bandaoti 半导体) sector just had one hell of a day.

On April 27, the entire semiconductor industry surged 3.49%, crushing it as the market’s top performer.

It wasn’t just a mild uptick either—several stocks absolutely ripped, hitting their daily price limits.

We’re talking about Dioo Microelectronics (Diao Wei 帝奥微), Oulaixin New Material (Oulai Xincai 欧莱新材), Will Semiconductor/OmniVision Group (Haowei Jituan 豪威集团), Piotech (Xinyuan Wei 芯源微), and Kingsemi (Fuchuang Jingmi 富创精密).

All of this came on the heels of an absolutely massive rally in U.S. markets just three days prior.

On April 24, the CPU giants—Intel (Yingte’er 英特尔), ARM, and AMD (Chaowei Bandaoti 超威半导体)—exploded upward.

Intel jumped 23.6%.
AMD climbed 13.91%.
ARM surged 14.76%.

Many of them hit new all-time highs.

So what the hell triggered this semiconductor renaissance?

The answer is simple: AI Agents are fundamentally changing how data centers need to be built.

—

CPUs Are Back: The CPU Renaissance in the AI Era

For years, everyone obsessed over GPUs.

Graphics processing units dominated conversations about AI infrastructure because they’re phenomenal at parallel processing—exactly what large language models need.

But here’s the plot twist: CPUs aren’t going anywhere.

In fact, they’re making a serious comeback.

During an earnings call, Intel CEO Lip-Bu Tan (Chen Liwu 陈立武) dropped some knowledge: there are “clear signs from recent months that the CPU is once again becoming an indispensable foundation of the Artificial Intelligence (rengong zhineng 人工智能) era.”

This isn’t hype—it’s backed by real market signals.

CPU Prices Are Climbing Fast

The demand surge is showing up directly in pricing.

In March 2024, prices for consumer-grade CPUs from AMD and Intel jumped 5% to 10%.

Even more dramatic: server CPUs saw price increases of 10% to 20%.

Here’s the kicker—this isn’t expected to be a temporary spike.

Supply chain reports suggest that shortages are expected to persist through 2027, with potential new price adjustments coming in Q3 2026.

That’s a multi-year story, not a flash in the pan.

—

Why AI Agents Are Destroying the GPU-Dominant Model

• Multi-step Planning: Reasoning through complex tasks requires serial processing strengths of CPUs.
• Tool Invocation: Calling external APIs and managing data flow is a primary CPU function.
• Decision Making: High-level logic branches are better handled by CPU instruction sets.
• Workflow Coordination: Managing multiple sub-agents requires robust compute orchestration.

This is where things get really interesting.

Traditional large language models (LLMs) are pretty straightforward from a hardware perspective: throw a bunch of data at GPUs, get predictions back.

AI Agents are fundamentally different.

AI Agents don’t just generate text.

They need to:

• Plan multi-step tasks
• Call external tools and APIs
• Make decisions based on real-time information
• Coordinate complex workflows

All of that task planning and tool invocation? That’s CPU work.

Market research firm TrendForce (Jibang Zixun 集邦咨询) quantified exactly how much this changes the hardware equation.

The CPU-to-GPU Ratio Shift: A Data Center Revolution

Currently, in AI data centers (shuju zhongxin 数据中心), the ratio of CPUs to GPUs sits at approximately 1:4 to 1:8.

Translation: for every CPU, there are 4 to 8 GPUs handling the heavy computational lifting.

But as AI Agents become widely deployed across enterprises, that ratio is expected to shift dramatically.

The new expected ratio?

1:1 to 1:2.

Let that sink in.

For the same scale of GPU deployment, CPU demand will increase several times over.

If a data center operator was buying 1,000 GPUs with 250 CPUs, they might soon need 500-1,000 CPUs with those same 1,000 GPUs.

That’s a massive, structural increase in CPU demand.

—

This Is Huge for Domestic CPU Makers (Here’s Why)

Now here’s where it gets really interesting for Chinese tech investors.

This CPU surge isn’t just good news for Intel and AMD.

It’s a strategic turning point for domestic CPU manufacturers in China.

According to research from Soochow Securities (Dongwu Zhengquan 东吴证券), the combination of two factors is creating a perfect storm:

• International capacity bottlenecks: Intel and AMD can’t scale fast enough to meet surging demand
• Growing domestic computing needs: Chinese cloud providers are accelerating adoption of homegrown solutions

The result? A strategic opening for domestic players.

The Chinese CPU Market Is About to Explode

Soochow Securities predicts that the Chinese CPU market will approach ¥260,000,000,000 RMB ($36,400,000,000 USD) by 2026.

That’s not just growth—that’s a fundamental market transformation.

The shift is moving high-end domestic CPUs from “logical validation” (proving they could work in theory) to “performance realization” (proving they work in practice at scale).

Cloud service providers are increasingly comfortable substituting domestic solutions, and the supply chain benefits are kicking in now.

This is what independent substitution looks like when it actually works.

—

Meet the Six Players Shaping China’s CPU Future

According to Guojuan Securities (Guojin Zhengquan 国金证券), China’s domestic CPU landscape has matured into a competitive ecosystem.

We’re not talking about a fragmented mess anymore—there are six major manufacturers spanning three distinct technical architectures.

1. x86 Architecture: The Intel Route

Two companies are competing in the x86 space:

• Hygon Information (Haiguang Xinxi 海光信息): Building x86-compatible processors
• Zhaoxin (Shanghai Zhaoxin 上海兆芯): Another x86 player leveraging existing architecture knowledge

x86 is the most established architecture globally, so these companies benefit from decades of existing software compatibility.

2. ARM Architecture: The Mobile-First Approach

Two major tech players are building ARM-based CPUs:

• Huawei (华为): The telecom giant diversifying into chips
• Phytium (Feiteng 飞腾): A pure-play chip specialist

ARM dominates mobile globally, but these companies are using it for data center workloads too.

3. Proprietary Instruction Sets: The Independent Path

Two companies built entirely custom architectures:

• Loongson Technology (Longxin Zhongke 龙芯中科): Operating on proprietary LoongArch instruction set
• Sunway (Chengdu Shenwei 成都申威): Running on its own custom instruction set

These players aren’t constrained by licensing deals with foreign companies—full independence.

—

What This Means for Investors

The semiconductor rally isn’t random noise.

It reflects a real, structural shift in how AI infrastructure gets built.

CPUs are becoming essential again, not just supporting players.

For international investors, it’s clear: CPU makers like Intel, AMD, and ARM just got a multi-year growth runway.

For those watching China specifically, this is a genuine inflection point.

Domestic CPU manufacturers are moving from theory to practice, supply chains are stabilizing, and cloud providers are committing real capital to substitution plays.

The CPU-driven AI infrastructure upgrade is just getting started, and domestic chipmakers are positioned to capture meaningful share of this expansion.

—

References

• Agent催生新需求 国产CPU获关注 – East Money (Dongfang Caifu 东方财富)
• Global Computing Leadership – Intel
• Market Analysis on AI Servers and Hardware Ratios – TrendForce
• Domestic CPU Architecture Innovations – Loongson Technology