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The artificial intelligence boom is increasingly becoming a hardware story, with 28 companies supplying the technology and infrastructure behind AI systems now commanding a combined market capitalisation of $12.39 trillion.
An analysis by BestBrokers of all 503 companies in the S&P 500 found that AI-related hardware businesses now account for more than 18% of the index’s total value, underscoring the growing importance investors are placing on the infrastructure required to develop and run AI systems.
The companies span several layers of the AI supply chain, including processors, memory, networking equipment, semiconductor manufacturing machinery, photonics, testing and chip-design software.
AI Computing Leads the Charge
The largest portion of the combined valuation comes from companies involved in AI computing.
NVIDIA, AMD and Intel together account for about $6.17 trillion, reflecting the enormous demand for processors and accelerators capable of powering the training and operation of advanced AI models.
These companies provide much of the computing capacity required as businesses and technology firms expand their use of generative AI and other computationally intensive applications.
But the analysis shows that the AI hardware economy extends well beyond the companies producing the most recognisable chips.
Networking and Memory Firms Gain Ground
Companies specialising in custom silicon and networking, including Broadcom and Marvell, collectively represent approximately $2.12 trillion in market value.
Meanwhile, memory and storage companies such as Micron and Western Digital account for another $1.73 trillion.
The growing importance of memory reflects the increasing demands placed on AI systems, which require substantial amounts of high-performance computing and data-storage capacity.
Together, these segments demonstrate how AI demand is spreading across the technology supply chain rather than benefiting only the companies developing AI models.
Chip Equipment Suppliers Also Benefit
Further upstream, companies that manufacture the equipment used to produce advanced semiconductors are also benefiting from the AI investment cycle.
Applied Materials, Lam Research, KLA and Qnity Electronics have a combined market value of about $1.26 trillion, according to the analysis.
These businesses provide equipment and technologies needed by semiconductor manufacturers as they expand production and invest in increasingly sophisticated chipmaking processes.
Supporting the semiconductor ecosystem are companies producing analogue, power and radio-frequency chips.
This category, which includes Qualcomm and Texas Instruments, represents approximately $673.5 billion in market value.
Photonics and Chip Design Add More Value
The AI infrastructure chain extends further into photonics and semiconductor testing.
Companies operating in these areas collectively contribute about $263.5 billion to the combined valuation.
At the software-design end of the semiconductor ecosystem, Cadence Design Systems and Synopsys account for another $186.6 billion.
Their tools help engineers design and develop increasingly complex chips, making them an important part of the infrastructure supporting the AI hardware boom.
AI Demand Reshapes Semiconductor Industry
BestBrokers’ analysis suggests that AI’s economic impact is increasingly visible in industries that may not directly develop consumer-facing AI products.
Alan Goldberg, data analyst at BestBrokers, said the AI boom has elevated semiconductor and hardware companies from specialised suppliers into strategically important businesses within the global technology economy.
He noted that rising demand for AI is pushing investment in semiconductor manufacturing equipment higher, while constraints around advanced memory, packaging and manufacturing capacity are giving suppliers greater pricing influence.
The development indicates that investors are increasingly assigning value not only to companies developing AI models, but also to the infrastructure needed to make those models work.
Hardware Becomes a Major AI Investment Story
The $12.39 trillion combined market value highlights the scale of the capital flowing into the physical infrastructure underpinning artificial intelligence.
From processors and memory to networking, chipmaking equipment and design software, virtually every layer of the semiconductor ecosystem is being reshaped by rising AI demand.
For the broader technology industry, the trend suggests that the AI race will not be determined solely by who builds the most capable models. Access to sufficient computing power, advanced chips, manufacturing capacity and supporting infrastructure could prove equally important.
As AI adoption expands, the companies supplying that physical foundation are increasingly becoming some of the most valuable businesses in the global technology economy.
