As the world fully enters the AI era, most people may only see ChatGPT, Claude, Gemini, or various AI Agents that are transforming how humans work. But behind these AI systems lies a massive infrastructure consuming huge amounts of energy, using chips, and requiring more data centers than the world has ever built before.
AI is no longer just software; it is becoming the new Mega Infrastructure of the tech world, consisting of GPUs, memory, storage systems, fiber networks, data centers, and even nuclear power plants. Everything is interconnected to generate the computing power that AI users rely on daily.
Here is the map of "AI Infrastructure Stocks" that investors worldwide are closely monitoring.
The first group is "Compute" or processors, which are the core of every AI model, requiring vast numbers of GPUs and CPUs to train and perform inference on AI models.
A key leader today is Nvidia (NVDA), a company that has become synonymous with the AI wave by dominating the GPU market for data centers with its B200 chip series built on the Blackwell architecture. Meanwhile, Advanced Micro Devices (AMD) is catching up with its MI300 AI Accelerator series, and Broadcom (AVGO) has become a significant player in custom AI chips and data center network connectivity.
Arm Holdings (ARM) remains the owner of the CPU architecture behind countless devices worldwide, including modern servers. Intel (INTC) is striving to re-enter the AI arena through its foundry business and its own AI processing chips.
Another interesting group includes former crypto mining companies pivoting to AI compute rental services, such as IREN (IREN), TeraWulf (WULF), Cipher Digital (CIFR), and Hut 8 (HUT). Their strengths lie in access to cheap electricity and legacy data centers from the crypto era, enabling a swift transition into the AI market.
Beyond processing chips, AI also requires "Memory" or massive amounts of high-speed memory, especially High Bandwidth Memory (HBM), which is now a critical component of modern AI servers.
Stocks attracting attention in this segment include Micron Technology (MU), one of the world's largest HBM producers, along with South Korea's Samsung Electronics and SK Hynix, which is emerging as a key player in high-end HBM—many consider SK Hynix a hidden champion in this market. SanDisk (SNDK) remains an important player in memory and storage solutions.
As AI requires enormous data volumes to train models, the world continuously demands more "Storage" capacity, both HDD and SSD. This makes stocks like Seagate Technology (STX), Western Digital (WDC), and Pure Storage (PSTG) seen as vital data repositories for the AI economy.
Another major bottleneck in the AI era is "Networking." Connecting tens of thousands of GPUs requires ultra-high-speed networks, causing network and optical system stocks to surge significantly recently.
Notable companies in this group include Arista Networks (ANET), Credo Technology Group (CRDO), Amphenol (APH), and Ciena (CIEN).
Meanwhile, key players in optical modules and systems, essential for data transmission in data centers, include Lumentum (LITE), Applied Optoelectronics (AAOI), Astera Labs (ALAB), Coherent (COHR), and Semtech (SMTC).
The "Data Center & Cloud" sector is becoming the factory producing AI globally since every AI system runs on massive data centers. Those with the greatest computing power hold the biggest advantage in this battle.
The hyperscaler group dominating the market includes Microsoft (MSFT), owner of Azure and former key OpenAI partner; Alphabet (GOOGL), owner of Google Cloud and Gemini; Amazon (AMZN), still the world's largest cloud provider via AWS; and Oracle (ORCL), which is growing strongly in AI infrastructure.
At the same time, many investors are focusing on the "Neocloud" group—new-generation clouds tailored specifically for AI—such as Nebius (NBIS), CoreWeave (CRWV), Applied Digital (APLD), Galaxy Digital (GLXY), and New Era Energy & Digital (NUAI).
A new challenge for the AI world is no longer just chips, as modern data centers consume as much power as a small city. This has made "Power & Cooling" an increasingly hot investment theme.
In cooling and power systems, Vertiv (VRT) is viewed as a star stock of the AI cooling era, while Dell Technologies (DELL) benefits from growing AI server demand.
Energy companies attracting attention include Vistra (VST), Constellation Energy (CEG), Talen Energy (TLN), GE Vernova (GEV), Bloom Energy (BE), Centrus Energy (LEU), and Oklo (OKLO), many of which are seen as potential future AI power suppliers.
Another group often called the shovel sellers during the AI gold rush is the "Equipment & Tools" category, consisting of companies manufacturing machines and tools for chip production. Regardless of who wins the AI race, the world will still need many more chip factories.
The key leader here is ASML Holding (ASML), the only company worldwide capable of producing EUV lithography machines, followed by Applied Materials (AMAT) and Lam Research (LRCX).
In chip fabrication and assembly, important players include Taiwan Semiconductor Manufacturing Company (TSM), the world's most critical chip manufacturer, as well as Celestica (CLS), Flex (FLEX), Fabrinet (FN), and Sanmina (SANM).
The market is increasingly recognizing that this AI boom is not just a surge in AI software stocks but a massive rebuilding of the technological infrastructure worldwide—including chips, memory, networks, data centers, power plants, cooling systems, and entire supply chains.
This is why many investors now believe that "AI Infrastructure," a mega trend, is as significant as the internet era or even the historical electricity era. In this AI war, the winners may not only be the best AI creators but also those selling the infrastructure that powers the AI world.
Compiled by Thairath Money.
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