The leaders of two major chipmakers have pinpointed the cost of capital as the most significant threat to the artificial intelligence boom, even as demand for AI infrastructure remains robust.
Speaking at the DBS Asia Future Forward Conference in Singapore, Broadcom CEO Hock Tan and Intel CEO Lip-Bu Tan both highlighted the financial hurdles facing the industry. Their remarks come amid a surge in AI-related spending, with billions flowing into data centers and advanced semiconductor manufacturing.
Capital as the Key Constraint
Hock Tan stated that "the biggest constraint is capital," emphasizing that financing could limit the pace of AI expansion. AI companies have committed enormous sums to build out computing capacity, betting on sustained demand growth. However, the ability to fund these projects is becoming increasingly challenging as borrowing costs rise.
Lip-Bu Tan echoed these concerns, noting that the cost of financing and the need to demonstrate long-term returns are critical factors. The enormous demand for chips and storage has also driven up prices, adding to the financial pressure on companies expanding their AI infrastructure.
Near-Term Outlook Remains Positive
Despite these challenges, both CEOs expressed confidence in the industry's immediate prospects. Lip-Bu Tan expects the outlook to remain favorable over the next two to three years, with no significant slowdown in sight. However, sustaining growth beyond that period will depend on the pace of adoption and whether the promised economic benefits materialize.
Hock Tan cautioned that the technology must continue to improve, or demand for computing infrastructure could slow. This underscores the delicate balance between investment and innovation in the AI sector.
Rising Borrowing Costs Add Pressure
The cost of borrowing has become a major concern for AI companies seeking to finance their expansion. US Treasury yields have remained near multi-decade highs, with the benchmark 10-year yield trading at 5.24%, slightly below its recent 24-year peak. The 30-year yield stands at 5.60%, also elevated.
These higher yields make it more expensive for companies to raise debt, potentially forcing them to offer higher returns to attract investors. Given the scale of AI infrastructure ambitions, continued access to substantial capital is essential. If debt costs remain high, financing could become a growing constraint on new projects.
The comments from the two CEOs highlight a critical juncture for the AI industry, where optimism about growth is tempered by financial realities. Investors will be watching closely to see how companies navigate these challenges in the coming quarters.
This article is for informational purposes only and does not constitute financial advice.
