Sonya Yun: chip demand cycles and hyperscaler AI spending cycles are diverging

Sonya Yoon, board member of HP and founder of Principal Venture Partners, said on Bloomberg that the cycle of demand for chips and the investment cycle of hyperscalers are beginning to diverge amid rapid construction of AI infrastructure, and the market sentiment depends on whether hyperscalers will continue to increase spending.

What is the divergence in cycles

Yoon described the situation as follows: chip manufacturers and cloud hyperscalers — companies of the level of Microsoft, Google, Amazon and Meta — historically moved in sync, increasing capital investments in infrastructure in parallel. Now, according to her, these two cycles are beginning to diverge: spending on AI infrastructure is growing faster than the returns on these investments are being confirmed, and the question is who will first correct the pace.

• Speaker — Sonya Yoon, HP board member, founder of Principal Venture Partners
• Topic — divergence between the cycle of demand for chips and the cycle of capital expenditures by hyperscalers
• Format — interview on Bloomberg channel in the program "The Close"
• Program hosts — Romaine Bostick and Katie Greifeld

Why this is important for the market

The key question raised by Yoon is whether hyperscalers will reduce spending on AI infrastructure as its cost continues to rise. This is not an abstract topic for a narrow circle of investors: capital expenditures of the largest cloud players on data centers and chips are one of the main drivers of the current AI rally on the stock market, and any slowdown in this spending can significantly affect the valuations of both the hyperscalers themselves and chip manufacturers.

Who is Sonya Yoon

Sonya Yoon sits on the board of directors of HP and at the same time heads the venture firm Principal Venture Partners, that is, she looks at the industry from two points at once — as a representative of a large tech manufacturer and as an investor in companies at an earlier stage of growth. This position explains why she is concerned about the gap between the pace of capital investment and the pace of return on that investment: on the one hand, she sees demand for equipment from within a large corporation, on the other hand, she assesses the risks of excessive funding in the venture market.

What this means

While the divergence of cycles remains a question rather than an accomplished fact, the very fact that the problem is being raised on a public platform like Bloomberg shows that market participants are increasingly looking for signs that the rapid growth in capital spending on AI infrastructure cannot continue indefinitely at the current pace. If hyperscalers actually begin to slow spending sooner than the market expects, this will be one of the first noticeable signals of a cooling in the current AI investment cycle.