AI Hardware Boom Creates $12.4 Trillion S&P 500 Powerhouse

Artificial intelligence may be best known for chatbots and large language models, but a growing share of the value being created by the AI boom is sitting much deeper in the technology stack.

A new analysis by investment research platform BestBrokers has identified 28 companies in the S&P 500 that are directly involved in supplying the chips, networking equipment, memory, manufacturing technology and other hardware underpinning the global AI expansion.

Together, these companies have a combined market capitalisation of approximately $12.39 trillion, representing more than 18% of the value of the S&P 500.

The findings come as investment in artificial intelligence infrastructure continues to accelerate. Anthropic, the company behind Claude, is reportedly preparing for a potential IPO at a valuation exceeding $2 trillion, while also arranging a pre-IPO credit facility that could exceed $10 billion.

AI Compute Dominates Hardware Valuations

According to BestBrokers, the largest segment of the AI hardware ecosystem is AI compute, comprising Nvidia, AMD and Intel.

The three companies are collectively valued at approximately $6.17 trillion, accounting for almost half of the total valuation of the 28 hardware companies analysed.

These companies manufacture processors and accelerators responsible for the computational power required to train and operate increasingly sophisticated AI models.

Another major category is custom silicon and networking, where Broadcom, Marvell Technology and Monolithic Power Systems have a combined value of approximately $2.12 trillion.

Their technologies are critical to moving vast amounts of data between processors, servers and increasingly large AI data centres.

Memory Becomes Critical to AI Expansion

Memory and storage providers have also become significant beneficiaries of the AI infrastructure boom.

BestBrokers estimates that Micron Technology, SanDisk, Western Digital and Seagate Technology have a combined market capitalisation of approximately $1.73 trillion.

Meanwhile, semiconductor manufacturing and equipment companies including Applied Materials, Lam Research, KLA and Qnity Electronics account for approximately $1.26 trillion.

These companies provide equipment and technology required to manufacture increasingly advanced semiconductor components.

Companies producing analogue, power, radio frequency and embedded chips contribute another $673.5 billion, while photonics, optical and semiconductor testing companies collectively account for approximately $263.5 billion.

Chip design and electronic design automation companies Cadence Design Systems and Synopsys contribute a further $186.6 billion.

AI Is Reshaping the S&P 500

The hardware figures form part of a much broader shift taking place across the US stock market.

BestBrokers analysed all 503 constituents of the S&P 500 and found that 218 companies have material exposure to the AI economy. Collectively, those businesses were valued at approximately $42.39 trillion, representing just over 62% of the index’s total market capitalisation as of July 2026.

The AI ecosystem now extends beyond semiconductor manufacturers and cloud companies to energy providers, data-centre operators, cooling specialists, fibre-optic suppliers, enterprise software companies and other infrastructure providers.

“The AI boom has fundamentally changed the role of semiconductor and hardware companies, turning what was once a relatively specialised part of the tech supply chain into one of the most strategically important parts of the global economy,” says Alan Goldberg, data analyst at BestBrokers.

According to Goldberg, growing demand for AI is also driving investment in semiconductor manufacturing equipment while tightening supplies of advanced memory, packaging and manufacturing capacity.

The findings suggest that the economic impact of artificial intelligence is increasingly being measured not only by the companies developing AI models, but by the enormous physical infrastructure required to build, train and operate them.

Staff writer